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  • Advances in Gastrointestinal Tract Imaging: A Comprehensive Review of X-Ray, Ultrasonography, and Computed Tomography

  • 1Department Allied and HealthCare Science, St. Soldier Institute of Pharmacy, Lidhran Campus, Behind NIT(R.E.C.), Jalandhar-Amritsar bypass NH-1 jalandhar-144011, Punjab, India
    2Department of Pharmacology, St. Soldier Institute of Pharmacy, Lidhran Campus, Behind NIT(R.E.C.), Jalandhar-Amritsar bypass NH-1 jalandhar-144011, Punjab, India
     

Abstract

Background Imaging of the gastrointestinal (GI) tract has undergone substantial technological evolution during the past decade. Conventional radiography, ultrasonography (US), and computed tomography (CT) remain central modalities for the diagnosis and management of gastrointestinal diseases despite the emergence of advanced magnetic resonance imaging and molecular imaging techniques. Recent innovations including low-dose multidetector CT, dual-energy CT (DECT), contrast-enhanced ultrasonography (CEUS), photon-counting detector systems, artificial intelligence (AI), and digital radiography have significantly improved diagnostic accuracy, spatial resolution, and workflow efficiency. Objective This review summarizes major advances in GI imaging from 2016–2026, focusing on X-ray imaging, ultrasonography, and computed tomography, while highlighting clinical applications, advantages, limitations, radiation concerns, and future directions. Methods A narrative review of peer-reviewed literature published between 2016 and 2026 was conducted using major scholarly databases. Recent studies addressing technological innovations, diagnostic performance, radiation dose optimization, and AI integration in GI imaging were evaluated. Results Plain abdominal radiography continues to serve as an important first-line imaging tool in bowel obstruction, perforation, and emergency evaluation, although its diagnostic sensitivity remains inferior to CT. Ultrasonography has evolved through elastography, high-frequency probes, Doppler imaging, and CEUS, enabling improved evaluation of inflammatory bowel disease, bowel ischemia, appendicitis, and hepatic-GI disorders. CT imaging remains the cornerstone of GI evaluation due to multidetector systems, DECT, low-dose protocols, iterative reconstruction algorithms, and AI-assisted image interpretation. Photon-counting CT and spectral imaging demonstrate promise for improved tissue characterization with reduced radiation exposure. Conclusion Technological progress in GI imaging has significantly improved diagnostic precision and patient safety. Integration of AI, low-dose imaging protocols, spectral CT, and advanced ultrasound techniques is expected to redefine gastrointestinal diagnostics in the coming decade.

Keywords

Carbopol 934, topical gel, NSAID, Diclofenac sodium, and formulation development

Introduction

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Gastrointestinal (GI) diseases continue to represent a major global health burden, contributing significantly to morbidity, mortality, and healthcare expenditure worldwide. Disorders such as colorectal cancer, inflammatory bowel disease (IBD), intestinal obstruction, appendicitis, gastrointestinal bleeding, bowel ischemia, and hepatobiliary abnormalities require timely and accurate diagnosis to improve patient outcomes. In recent years, medical imaging has become an indispensable component of GI disease evaluation because it enables early detection, precise localization of pathology, treatment planning, and follow-up assessment (Sun et al., 2023). Over the past decade, remarkable progress has been achieved in radiological imaging technologies. Conventional abdominal radiography, although one of the oldest diagnostic techniques, still plays an important role in emergency settings because of its rapid availability, low cost, and usefulness in detecting bowel obstruction, perforation, and abnormal gas patterns. However, its diagnostic sensitivity is limited when compared with modern cross-sectional imaging techniques (Hussain et al., 2022). Ultrasonography has evolved considerably with the introduction of high-frequency probes, Doppler imaging, elastography, and contrast-enhanced ultrasonography (CEUS). These innovations have improved visualization of bowel wall inflammation, vascularity, fibrosis, and abdominal masses while avoiding ionizing radiation exposure. Due to its portability, safety profile, and real-time imaging capability, gastrointestinal ultrasound is increasingly used in emergency medicine, pediatric imaging, and chronic inflammatory bowel disorders (Steinsvik et al., 2021; Nishida et al., 2023). Computed tomography (CT) remains the cornerstone of gastrointestinal imaging because of its excellent spatial resolution, rapid acquisition time, and ability to provide comprehensive evaluation of abdominal organs and surrounding structures. Advances such as multidetector CT (MDCT), dual-energy CT (DECT), low-dose imaging protocols, iterative reconstruction techniques, and artificial intelligence (AI)-assisted interpretation have substantially enhanced diagnostic accuracy while simultaneously reducing radiation exposure (Mileto et al., 2021). Modern CT imaging now plays a critical role in evaluating GI malignancies, bowel ischemia, inflammatory disorders, trauma, and acute abdominal emergencies. In addition to hardware improvements, artificial intelligence and machine learning applications are increasingly being integrated into GI imaging workflows. AI-assisted algorithms can support lesion detection, image reconstruction, workflow prioritization, and quantitative analysis, thereby improving efficiency and reducing diagnostic variability among radiologists (Kantarc? et al., 2025). Given these rapid technological developments, a comprehensive understanding of current imaging modalities is essential for clinicians, radiologists, and researchers. Therefore, this review aims to summarize the major advances in gastrointestinal tract imaging over the last decade, with particular emphasis on X-ray imaging, ultrasonography, and computed tomography. The review also discusses their clinical applications, advantages, limitations, radiation safety considerations, and future directions in modern GI radiology.

METHODOLOGY

A literature review was conducted using peer-reviewed articles published between January 2016 and May 2026. Articles related to gastrointestinal imaging using X-ray, ultrasonography, and CT were reviewed. Priority was given to systematic reviews, multicenter studies, consensus guidelines, and high-impact radiology publications.

Inclusion Criteria

  • English-language articles
  • Human studies
  • Reviews, original studies, and consensus statements
  • Publications from 2016–2026

Exclusion Criteria

  • Non-peer-reviewed reports
  • Case reports with limited applicability
  • Non-GI imaging studies

3. Advances in X-Ray Imaging of The Gastrointestinal Tract

3.1 Evolution of Digital Radiography

Over the last decade, gastrointestinal radiography has shifted almost entirely from traditional film-based systems to digital radiography (DR). This transition has significantly improved image quality, examination speed, and diagnostic workflow in both emergency and routine clinical practice. Digital systems provide higher spatial resolution and allow radiologists to manipulate image contrast, magnification, and brightness after acquisition, improving visualization of abdominal structures and subtle pathological findings (Hussain et al., 2022). Another major advantage of digital radiography is the reduction in radiation exposure compared with older film-screen techniques. Modern detectors are more sensitive to X-rays, enabling diagnostic-quality images with lower radiation doses. In emergency departments, rapid image acquisition and immediate image availability have become particularly valuable for critically ill patients requiring urgent assessment. Technological developments such as flat-panel detectors and digital tomosynthesis have further enhanced abdominal imaging. These systems improve the detection of bowel gas patterns, intestinal distension, calcifications, and free intraperitoneal air. Digital tomosynthesis, which generates sectional images from multiple low-dose projections, has shown promise in reducing anatomical overlap and improving lesion visualization compared with conventional radiographs (Sun et al., 2023).

3.2 Clinical Applications of X-ray Imaging

  • Bowel Obstruction

Plain abdominal radiography remains one of the first imaging investigations performed in patients presenting with acute abdominal pain and suspected bowel obstruction. Radiographs can rapidly demonstrate characteristic findings such as dilated bowel loops, multiple air–fluid levels, and absence of distal bowel gas. Because of its widespread availability and low cost, abdominal X-ray continues to play an important role in the initial assessment of emergency GI conditions. Despite these advantages, the diagnostic performance of plain radiography is limited. Studies report sensitivity rates ranging from approximately 50% to 70% for detecting bowel obstruction, which is considerably lower than multidetector CT (Spanos, 2024). CT imaging is therefore often required to determine the exact site, cause, and severity of obstruction.

  • Gastrointestinal Perforation

Conventional chest and abdominal radiographs remain valuable for identifying pneumoperitoneum in suspected gastrointestinal perforation. Free air beneath the diaphragm on an erect chest radiograph is considered a classic radiological sign of perforation. However, small amounts of free intraperitoneal air may be difficult to detect on plain films. Recent studies demonstrate that CT is substantially more sensitive than radiography for detecting perforation and accurately localizing the site of bowel injury (Yao et al., 2024). Nevertheless, plain radiographs still serve as a rapid screening tool in many emergency settings, especially in resource-limited healthcare environments.

  • Contrast Fluoroscopic Studies

Although cross-sectional imaging modalities have replaced many traditional fluoroscopic examinations, contrast-enhanced GI studies continue to have specialized clinical applications. Barium swallow and fluoroscopic contrast studies remain useful in evaluating:

  • Dysphagia and esophageal motility disorders
  • Postoperative anastomotic leaks
  • Gastrointestinal strictures and fistulas
  • Functional bowel disorders

Dynamic fluoroscopy provides real-time assessment of swallowing and GI motility, which cannot always be adequately evaluated using static imaging techniques.

3.3 Recent Innovations in GI X-ray Imaging

  • Artificial Intelligence-Assisted Radiography

Artificial intelligence (AI) is increasingly being integrated into gastrointestinal radiology workflows. Recent deep-learning algorithms have demonstrated promising results in detecting pneumoperitoneum, identifying bowel obstruction, and prioritizing urgent radiographic findings for radiologist review (Chong et al., 2025). AI-assisted systems may help reduce diagnostic delays in emergency departments by automatically flagging abnormal radiographs. In addition, computer-aided detection tools are being developed to improve diagnostic consistency and reduce observer variability, particularly among less experienced clinicians (Sanmoto et al., 2026).

  • Radiation Dose Optimization

Reducing radiation exposure remains an important objective in abdominal imaging. Modern digital radiography systems incorporate several dose-reduction technologies, including:

  • Automatic exposure control (AEC)
  • Advanced detector sensitivity systems
  • Image post-processing algorithms
  • Digital subtraction techniques

These advances help maintain diagnostic image quality while minimizing unnecessary radiation exposure to patients. Low-dose imaging protocols are particularly important in pediatric patients and individuals with chronic gastrointestinal disorders who require repeated imaging examinations (Larsen et al., 2021).

3.4 Limitations of X-ray Imaging

Despite continuous technological improvements, plain radiography still has several important limitations in gastrointestinal imaging. Soft tissue contrast remains inferior to CT and MRI, making subtle inflammatory, ischemic, or neoplastic lesions difficult to detect. Diagnostic accuracy can also be affected by patient body habitus, bowel gas overlap, and operator interpretation variability. Furthermore, abdominal radiographs often provide nonspecific findings, necessitating additional cross-sectional imaging for definitive diagnosis. Consequently, while X-ray imaging remains valuable as a rapid first-line tool, it is increasingly used alongside advanced modalities such as ultrasonography and computed tomography for comprehensive GI evaluation.

4. Advances in Ultrasonography

4.1 Role of Ultrasonography in Gastrointestinal Imaging

Ultrasonography has become an increasingly important imaging modality in gastrointestinal (GI) medicine because it provides rapid, noninvasive, and radiation-free evaluation of abdominal structures. Over the past decade, technological improvements in ultrasound equipment and image processing have expanded its clinical applications in both acute and chronic GI disorders. Unlike computed tomography, ultrasonography does not expose patients to ionizing radiation, making it particularly valuable for children, pregnant women, and patients requiring repeated follow-up examinations, such as those with inflammatory bowel disease (IBD) (Tagliamonte et al., 2024). Another major advantage of ultrasound is its bedside accessibility and real-time imaging capability. Portable ultrasound systems allow clinicians to perform immediate evaluations in emergency departments, intensive care units, and outpatient clinics. Additionally, ultrasonography is relatively cost-effective compared with advanced cross-sectional imaging modalities, contributing to its widespread use in routine gastrointestinal assessment (Steinsvik et al., 2021). Recent developments in intestinal ultrasound (IUS) have significantly improved the detection and monitoring of bowel inflammation, wall thickening, motility abnormalities, and vascular changes. Consequently, gastrointestinal ultrasonography is increasingly being incorporated into modern diagnostic algorithms for Crohn’s disease, ulcerative colitis, appendicitis, bowel obstruction, and hepatobiliary disorders (Pal et al., 2025).

4.2 High-Frequency and Doppler Ultrasound

The introduction of high-frequency transducers has substantially enhanced the diagnostic performance of gastrointestinal ultrasonography. Modern probes provide improved spatial resolution, allowing more detailed visualization of bowel wall layers and mucosal architecture. This has become especially useful in assessing inflammatory bowel diseases, where bowel wall thickening and structural changes are important indicators of disease activity (Barchi et al., 2023). High-frequency ultrasound also improves the detection of subtle inflammatory changes, abscesses, fistulas, and intestinal strictures. In clinical practice, ultrasound findings such as increased bowel wall thickness, loss of wall stratification, and mesenteric fat proliferation can support the diagnosis and monitoring of GI inflammatory conditions. Color Doppler ultrasound further enhances evaluation by assessing vascularity within the bowel wall and mesentery. Increased vascular flow is commonly associated with active intestinal inflammation, while reduced perfusion may indicate bowel ischemia. Doppler imaging therefore plays an important role in differentiating active inflammatory disease from chronic fibrotic changes and in evaluating mesenteric circulation (Lanzotti et al., 2026).

4.3 Contrast-Enhanced Ultrasound (CEUS)

Contrast-enhanced ultrasound (CEUS) represents one of the most significant advancements in gastrointestinal ultrasonography during the past decade. CEUS involves the administration of microbubble contrast agents that improve visualization of tissue perfusion and vascular patterns without exposing patients to nephrotoxic contrast media or ionizing radiation. In gastrointestinal imaging, CEUS has demonstrated considerable value in assessing Crohn’s disease activity, identifying bowel ischemia, differentiating inflammatory masses from abscesses, and characterizing liver metastases (Pal et al., 2025). By providing dynamic assessment of microvascular blood flow, CEUS allows clinicians to evaluate disease activity more accurately and monitor treatment response in real time. Compared with contrast-enhanced CT, CEUS offers several advantages. The technique is safer in patients with renal impairment because ultrasound contrast agents are not nephrotoxic. Furthermore, CEUS can be repeated multiple times during follow-up examinations and provides immediate bedside evaluation without radiation exposure (Tagliamonte et al., 2024). The increasing use of CEUS in inflammatory bowel disease has reduced dependence on repeated CT examinations, thereby minimizing cumulative radiation exposure in younger patients who require long-term imaging surveillance.

4.4 Ultrasound Elastography

Ultrasound elastography is an emerging technique that measures tissue stiffness and elasticity. In gastrointestinal imaging, elastography has gained importance for differentiating fibrotic strictures from active inflammatory lesions, particularly in Crohn’s disease. This distinction is clinically important because inflammatory strictures may respond to medical therapy, whereas fibrotic strictures often require surgical intervention. Elastography therefore provides valuable information for treatment planning and disease monitoring (Barchi et al., 2023). In addition to inflammatory bowel disease, elastography has shown potential in differentiating benign from malignant lesions by evaluating tissue rigidity. The technique may improve noninvasive characterization of gastrointestinal tumors and reduce the need for invasive diagnostic procedures in selected cases.

4.5 Point-of-Care Ultrasound (POCUS)

Point-of-care ultrasound (POCUS) has become increasingly integrated into emergency and critical care medicine. Portable ultrasound devices enable rapid bedside evaluation of patients presenting with acute abdominal symptoms, improving decision-making and reducing diagnostic delays.

In gastrointestinal practice, POCUS is commonly used for:

Detection of acute appendicitis

Identification of intussusception in pediatric patients

Evaluation of free intraperitoneal fluid

Initial assessment of bowel obstruction

Guidance for drainage procedures

The rapid availability of POCUS makes it particularly valuable in emergency departments and resource-limited healthcare settings. Recent studies also suggest that intestinal ultrasound can serve as an effective monitoring tool for inflammatory bowel disease in outpatient care, reducing the need for repeated endoscopy and CT imaging (Fanizzi et al., 2025).

4.6 Limitations of Ultrasonography

Despite its many advantages, gastrointestinal ultrasonography has several limitations. One of the primary challenges is operator dependency, as diagnostic accuracy largely depends on the experience and technical expertise of the examiner. Variability in scanning technique and interpretation can therefore affect reproducibility. Ultrasound image quality may also be reduced in obese patients because increased soft tissue thickness limits sound wave penetration. In addition, excessive bowel gas can interfere with visualization of deeper abdominal structures and obscure pathological findings. Although ultrasonography is highly useful for evaluating superficial and inflammatory bowel abnormalities, it remains less effective than CT in assessing deep pelvic structures, extensive bowel disease, and complex abdominal pathology. Consequently, ultrasound is often used in combination with other imaging modalities to achieve comprehensive gastrointestinal evaluation.

5. Advances In Computed Tomography

5.1 Multidetector Computed Tomography (MDCT)

Multidetector computed tomography (MDCT) has transformed gastrointestinal imaging and is now considered one of the most important diagnostic tools in abdominal radiology. The development of multidetector systems has enabled rapid volumetric image acquisition with excellent spatial resolution, allowing comprehensive evaluation of the gastrointestinal tract within seconds. Compared with earlier CT technologies, MDCT provides thinner image slices, faster scanning times, and high-quality multiplanar reconstructions, improving the visualization and localization of GI pathology (Hafeez & Sattar, 2026). One of the greatest advantages of MDCT is its ability to simultaneously assess bowel structures, surrounding organs, mesentery, blood vessels, and extraintestinal complications. This comprehensive evaluation has made MDCT indispensable in emergency and oncologic imaging.

Clinically, MDCT is widely used for:

  • Detection of gastrointestinal bleeding
  • Evaluation of abdominal trauma
  • Staging of gastrointestinal malignancies
  • Assessment of inflammatory bowel disease
  • Identification of bowel obstruction and perforation

In patients with acute abdominal pain, MDCT offers rapid and highly accurate diagnosis, which is essential for guiding timely surgical or medical management. Additionally, multiplanar reconstruction techniques allow radiologists to better visualize complex anatomical relationships and subtle lesions that may not be apparent on conventional imaging (Hong et al., 2023).

5.2 Dual-Energy Computed Tomography (DECT)

Dual-energy CT (DECT) represents a major advancement in abdominal imaging technology. Unlike conventional CT, DECT acquires images using two different X-ray energy levels, enabling material differentiation and enhanced tissue characterization. This technology improves iodine mapping, virtual non-contrast imaging, and lesion conspicuity, providing additional functional and anatomical information beyond standard CT imaging (May & Muttke, 2022).

In gastrointestinal radiology, DECT has shown significant value in evaluating:

  • Bowel ischemia
  • Crohn’s disease
  • Colorectal carcinoma
  • Small bowel tumors
  • Liver metastases

By enhancing iodine contrast visualization, DECT improves detection of bowel wall enhancement abnormalities and vascular compromise, which are critical findings in bowel ischemia. Similarly, in inflammatory bowel disease, DECT can better characterize active inflammation and assess disease severity (Mankertz et al., 2026).

Another important benefit of DECT is the possibility of reducing iodinated contrast dose while maintaining diagnostic image quality. This is particularly useful in patients with renal impairment or those requiring repeated imaging studies. Furthermore, virtual monoenergetic imaging improves vascular visualization and increases lesion detectability, especially for hypovascular tumors and metastatic disease (Asmundo et al., 2026). Recent studies suggest that DECT may significantly improve characterization of gastrointestinal tumors by combining anatomical and functional imaging information in a single examination (Hong et al., 2023).

5.3 Low-Dose CT and Iterative Reconstruction Techniques

Although CT remains highly valuable in gastrointestinal imaging, radiation exposure continues to be an important concern, especially for younger patients and individuals with chronic diseases such as inflammatory bowel disease who often require repeated follow-up scans.

To address this challenge, several dose-reduction strategies have been introduced over the past decade. These include:

  • Automated tube current modulation
  • Low-kVp imaging protocols
  • Iterative reconstruction algorithms
  • AI-based image denoising techniques

Iterative reconstruction has become particularly important because it reduces image noise while preserving diagnostic quality at substantially lower radiation doses. Studies have demonstrated that modern low-dose CT protocols can reduce radiation exposure by approximately 30–70% without significantly compromising image interpretation (Ghasempourabadi & O’Neill, 2026). Artificial intelligence-based reconstruction methods are also increasingly integrated into CT systems. AI-assisted denoising algorithms improve image clarity, enhance lesion detection, and allow further dose optimization. These developments are especially relevant in pediatric imaging and long-term surveillance of inflammatory bowel disorders, where minimizing cumulative radiation exposure is essential.

5.4 Photon-Counting CT

Photon-counting detector CT (PCCT) is an emerging technology that may represent the next major breakthrough in gastrointestinal imaging. Unlike conventional energy-integrating detectors, photon-counting systems directly detect individual X-ray photons and measure their energy levels. This approach provides several advantages, including:

  • Superior spatial resolution
  • Reduced image noise
  • Improved spectral imaging
  • Enhanced tissue contrast
  • Lower radiation exposure

Recent research suggests that PCCT can significantly improve visualization of gastrointestinal tumors, vascular abnormalities, and subtle inflammatory changes (Spoto et al., 2026). The technology also enables high-quality spectral imaging, which may improve tissue characterization and lesion differentiation. Another promising feature of photon-counting CT is its ability to generate clearer images at lower radiation doses compared with conventional CT systems. Early clinical studies indicate that PCCT may improve the detection of bowel ischemia, small metastatic lesions, and gastrointestinal malignancies while simultaneously reducing imaging artifacts (Bruno et al., 2026). Although photon-counting CT is still in the early stages of clinical implementation, it is expected to play a major role in the future of precision gastrointestinal imaging.

5.5 Artificial Intelligence in CT Imaging

Artificial intelligence (AI) has rapidly emerged as an important component of modern CT imaging. Machine learning and deep learning algorithms are increasingly used to support radiologists in image interpretation, workflow optimization, and quantitative image analysis.

In gastrointestinal imaging, AI applications include:

  • Automated polyp detection
  • Lesion segmentation
  • Tumor staging
  • Detection of gastrointestinal bleeding
  • Radiomics-based cancer characterization
  • Workflow prioritization

Deep learning systems have demonstrated high sensitivity in detecting colorectal cancer, liver metastases, and subtle bowel abnormalities on CT scans. AI algorithms can also assist in identifying patterns that may be difficult to recognize during routine image interpretation, thereby improving diagnostic consistency and efficiency (Xu et al., 2025). In oncologic imaging, AI-based radiomics is increasingly being explored for predicting tumor behavior, treatment response, and patient prognosis. Furthermore, AI-enhanced reconstruction techniques contribute to faster image processing and lower radiation exposure. Despite these promising developments, challenges remain regarding algorithm validation, data standardization, and integration into routine clinical workflows. Nevertheless, AI is expected to become increasingly important in future gastrointestinal CT imaging practice.

6. Comparative Analysis of Gastrointestinal Imaging Modalities

Selecting the most appropriate imaging modality for gastrointestinal (GI) diseases depends on several factors, including the patient’s clinical condition, suspected pathology, availability of imaging equipment, radiation concerns, and the urgency of diagnosis. Over the past decade, conventional radiography, ultrasonography, and computed tomography (CT) have continued to complement one another rather than function as competing technologies. Each modality offers unique strengths and limitations in the evaluation of gastrointestinal disorders (Chen et al., 2023). Conventional X-ray imaging remains an important first-line investigation in many emergency settings because it is inexpensive, rapid, and widely accessible. Plain abdominal radiographs are commonly used for the initial assessment of bowel obstruction, gastrointestinal perforation, and abnormal bowel gas patterns. However, despite improvements in digital radiography, its diagnostic sensitivity remains limited compared with cross-sectional imaging techniques, particularly for subtle inflammatory, ischemic, or neoplastic conditions (Michael et al., 2026). As a result, X-ray imaging is often used as a preliminary screening tool before further evaluation with CT or ultrasound. Ultrasonography has gained increasing clinical importance because of its safety profile and real-time imaging capability. Unlike CT and conventional radiography, ultrasound does not expose patients to ionizing radiation, making it especially valuable in pediatric patients, pregnant women, and individuals requiring repeated follow-up examinations, such as those with inflammatory bowel disease (Jia et al., 2026). Modern intestinal ultrasound techniques, including Doppler imaging, elastography, and contrast-enhanced ultrasound (CEUS), have improved the assessment of bowel inflammation, vascularity, fibrosis, and abdominal masses. Another important advantage of ultrasonography is its portability and bedside accessibility. Point-of-care ultrasound (POCUS) has become increasingly useful in emergency departments for evaluating appendicitis, bowel obstruction, intussusception, and free intraperitoneal fluid. Nevertheless, ultrasonography remains highly operator dependent, and image quality may be reduced by obesity or excessive bowel gas, which can limit visualization of deeper abdominal structures (Eid & Alnajjar, 2026). Computed tomography continues to be regarded as the most comprehensive imaging modality for gastrointestinal evaluation. Modern multidetector CT (MDCT) provides rapid image acquisition, high spatial resolution, and multiplanar reconstruction capabilities, allowing detailed assessment of bowel pathology, mesenteric structures, abdominal vasculature, and surrounding organs. CT has become the imaging modality of choice for acute abdominal emergencies, gastrointestinal bleeding, malignancy staging, trauma, and complex inflammatory disorders (Hafeez & Sattar, 2026). Recent technological advancements such as dual-energy CT (DECT), photon-counting CT, and AI-assisted image reconstruction have further improved diagnostic accuracy while reducing radiation exposure. However, concerns regarding cumulative radiation dose remain important, particularly in younger patients and those with chronic GI diseases who require repeated imaging studies. In clinical practice, the choice of imaging modality is often determined by balancing diagnostic accuracy, safety, cost, and availability. While CT offers the highest overall diagnostic performance, ultrasound provides a safer alternative for repeated examinations, and conventional radiography remains useful for rapid initial assessment. Consequently, modern gastrointestinal imaging increasingly relies on a multimodal approach in which different imaging techniques are integrated to achieve optimal patient care.

Table 1: Comparative Overview of Imaging Modalities in GI Imaging

Imaging Modality

Major Advantages

Main Limitations

Common GI Applications

X-ray Imaging

Rapid, inexpensive, widely available

Limited soft tissue contrast, low sensitivity

Bowel obstruction, perforation, emergency screening

Ultrasonography

Radiation-free, portable, real-time imaging

Operator dependent, limited by bowel gas and obesity

Appendicitis, IBD, bowel ischemia, pediatric imaging

Computed Tomography (CT)

High diagnostic accuracy, excellent anatomical detail

Radiation exposure, contrast-related risks

Trauma, GI bleeding, malignancy staging, acute abdomen

7. Radiation Safety and Dose Optimization

Radiation exposure continues to be an important concern in gastrointestinal imaging, particularly because abdominal CT examinations are frequently performed in both emergency and chronic disease settings. Although computed tomography provides excellent diagnostic accuracy, repeated exposure to ionizing radiation may increase long-term health risks, especially in younger patients and individuals who require ongoing imaging surveillance. As a result, radiation safety and dose optimization have become central priorities in modern radiology practice (Kumar et al., 2026). One of the fundamental principles guiding safe medical imaging is the ALARA concept, which stands for “As Low As Reasonably Achievable.” This principle emphasizes minimizing radiation exposure while still maintaining sufficient image quality for accurate diagnosis. In gastrointestinal imaging, ALARA-based approaches encourage clinicians to carefully justify imaging requests, avoid unnecessary repeat examinations, and select the most appropriate imaging modality for each patient (Hafeez & Sattar, 2026). Recent technological developments have contributed significantly to dose reduction in CT imaging. Modern scanners now incorporate automated tube current modulation systems that adjust radiation output according to patient size and tissue density. This allows more efficient use of radiation without compromising diagnostic image quality. Similarly, low-kVp imaging protocols have become increasingly popular because they reduce radiation exposure while improving contrast enhancement in abdominal studies. Iterative reconstruction algorithms represent another major advancement in dose optimization. Unlike traditional reconstruction methods, iterative techniques reduce image noise and improve image clarity even when scans are acquired at lower radiation doses. More recently, artificial intelligence (AI)-based reconstruction systems have shown promising results in enhancing image quality, reducing artifacts, and enabling ultra-low-dose CT imaging (Hameedat et al., 2026). Dose monitoring systems and standardized diagnostic reference levels (DRLs) are also being increasingly implemented in radiology departments to improve patient safety. These systems help track radiation exposure across imaging studies and support optimization of scanning protocols in daily clinical practice. Certain patient populations require particular attention regarding radiation safety. Pediatric patients are especially sensitive to ionizing radiation because their tissues are more radiosensitive and they have a longer lifetime risk for radiation-related complications. Consequently, pediatric imaging protocols should always prioritize the lowest possible radiation dose while preserving diagnostic accuracy. Pregnant women represent another high-risk group in whom radiation exposure must be carefully justified and minimized whenever possible. In such cases, ultrasound or magnetic resonance imaging is generally preferred over CT when clinically appropriate. Patients with chronic gastrointestinal disorders, such as Crohn’s disease or ulcerative colitis, also face increased cumulative radiation exposure because they often undergo repeated CT examinations during disease monitoring and management. For these individuals, low-dose CT techniques, intestinal ultrasound, and MRI-based follow-up strategies are increasingly recommended to reduce long-term radiation burden (Kumar et al., 2026). Overall, advances in imaging technology, AI-assisted reconstruction, and dose optimization strategies are helping improve the balance between diagnostic performance and patient safety in gastrointestinal radiology. Continued efforts toward radiation awareness, protocol standardization, and individualized imaging approaches will remain essential in future clinical practice.

8. Future Directions in Gastrointestinal Imaging

The future of gastrointestinal (GI) imaging is being shaped by rapid technological innovation, with growing emphasis on precision medicine, artificial intelligence (AI), quantitative imaging, and radiation reduction. Over the coming years, imaging is expected to move beyond simple anatomical visualization toward more personalized, predictive, and function-based diagnostic approaches. These developments have the potential to improve early disease detection, optimize treatment planning, and enhance patient outcomes (Barat et al., 2026). One of the most significant emerging trends is the integration of artificial intelligence into routine radiology practice. AI-based systems are increasingly being developed to assist with lesion detection, image interpretation, workflow management, and automated reporting. Deep learning algorithms have already demonstrated promising accuracy in detecting colorectal cancer, liver metastases, gastrointestinal bleeding, and inflammatory bowel abnormalities on CT and ultrasound imaging (Grange et al., 2026). In the future, AI may help reduce diagnostic variability among radiologists while improving efficiency in high-volume clinical settings. Radiomics and quantitative imaging are also expected to play an increasingly important role in gastrointestinal diagnostics. Radiomics involves extracting large amounts of quantitative imaging data that may reveal subtle tissue characteristics not visible through conventional image interpretation. These imaging biomarkers may help predict tumor behavior, treatment response, and patient prognosis, supporting more individualized therapeutic strategies (García-Figueiras et al., 2026). Another promising development is the advancement of spectral imaging technologies, including dual-energy CT (DECT) and photon-counting CT (PCCT). These techniques provide enhanced tissue characterization, superior contrast resolution, and improved visualization of vascular and inflammatory changes. Photon-counting CT, in particular, is expected to significantly influence future GI imaging because it offers higher spatial resolution with lower radiation exposure compared with conventional CT systems (Zhang & Song, 2025). Ultrasonography is also evolving rapidly. Portable ultrasound devices and point-of-care ultrasound (POCUS) systems are becoming increasingly accessible, enabling bedside gastrointestinal evaluation in emergency departments, intensive care units, and remote healthcare settings. Future improvements in contrast-enhanced ultrasound (CEUS), elastography, and AI-assisted ultrasound interpretation may further expand the role of ultrasound in inflammatory bowel disease and oncologic imaging. In addition, multimodal imaging approaches are expected to become more integrated into clinical practice. Combining imaging findings with genomic, molecular, and clinical data may help create personalized diagnostic pathways and support precision medicine in gastrointestinal disorders. Hybrid imaging technologies and advanced software platforms may allow clinicians to better understand disease biology and monitor therapeutic response more effectively. Radiation safety will remain another major focus area in future GI imaging research. Continued refinement of low-dose CT protocols, AI-based reconstruction methods, and dose-monitoring systems will help minimize radiation exposure while preserving image quality. This is especially important for pediatric patients and individuals with chronic gastrointestinal diseases who require repeated imaging examinations. Despite these advances, several challenges remain, including the high cost of advanced imaging technologies, limited access in low-resource settings, the need for standardized AI validation, and concerns regarding data privacy and ethical implementation. Addressing these issues will be essential to ensure equitable and safe adoption of next-generation imaging technologies worldwide. Overall, the future of gastrointestinal imaging is expected to become increasingly intelligent, patient-centered, and data-driven. The combination of AI, advanced CT technologies, quantitative imaging, and portable ultrasound systems is likely to redefine the diagnostic landscape of GI medicine over the next decade.

CONCLUSION

Gastrointestinal imaging has undergone remarkable advancement over the past decade, significantly improving the diagnosis and management of both acute and chronic GI disorders. Conventional radiography, ultrasonography, and computed tomography (CT) continue to play essential and complementary roles in clinical practice, despite the emergence of newer imaging technologies. Each modality offers distinct advantages that contribute to comprehensive gastrointestinal evaluation and patient-centered care. Conventional X-ray imaging remains valuable as a rapid and widely accessible first-line tool, particularly in emergency conditions such as bowel obstruction and gastrointestinal perforation. At the same time, technological improvements in digital radiography and dose-reduction strategies have enhanced image quality and patient safety. Ultrasonography has evolved considerably through the development of high-frequency probes, Doppler imaging, contrast-enhanced ultrasound (CEUS), elastography, and point-of-care ultrasound (POCUS). These innovations have expanded the role of ultrasound in inflammatory bowel disease, bowel ischemia, appendicitis, and hepatobiliary imaging while avoiding exposure to ionizing radiation. Its portability, affordability, and real-time imaging capability continue to make ultrasound an indispensable modality in modern gastrointestinal practice. Computed tomography remains the cornerstone of gastrointestinal imaging because of its high diagnostic accuracy, rapid acquisition, and detailed anatomical assessment. Recent advancements such as multidetector CT (MDCT), dual-energy CT (DECT), low-dose imaging protocols, iterative reconstruction techniques, photon-counting CT, and AI-assisted image analysis have substantially improved lesion detection, tissue characterization, and radiation safety. These developments are reshaping abdominal radiology and supporting more precise and efficient clinical decision-making. Artificial intelligence and quantitative imaging technologies are expected to further transform gastrointestinal radiology in the coming years. AI-assisted detection systems, radiomics, and predictive imaging models may enhance diagnostic accuracy, personalize treatment strategies, and optimize workflow efficiency. Additionally, ongoing progress in low-dose imaging techniques and radiation optimization protocols will remain essential for improving patient safety, particularly among pediatric patients and individuals requiring repeated imaging follow-up. Despite these advances, challenges related to cost, accessibility, standardization, and integration of advanced technologies into routine clinical practice still need to be addressed. Continued multidisciplinary collaboration among radiologists, gastroenterologists, researchers, and technology developers will be crucial for maximizing the clinical benefits of next-generation GI imaging. In conclusion, the integration of advanced imaging technologies, artificial intelligence, and personalized diagnostic approaches is redefining the future of gastrointestinal radiology. These innovations are expected to improve early disease detection, treatment planning, and long-term patient outcomes, ultimately contributing to more accurate, safer, and patient-focused gastrointestinal healthcare.

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  5. Bruno, E., Palmisano, A., Camisassa, E., Vignale, D., et al. (2026). Photon-counting detector CT in oncology: a new era of cancer imaging. Insights into Imaging. https://doi.org/10.1186/s13244-025-02176-2
  6. Chen, Y., Wu, G., Qu, C., Ye, Z., Kang, Y., & Tian, X. (2023). A multifaceted comparative analysis of image and video technologies in gastrointestinal endoscope and their clinical applications. Frontiers in Medicine. https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2023.1226748/full
  7. Chong, J.J.R., Kirpalani, A., & Moreland, R. (2025). Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications. Radiologic Clinics of North America.
  8. Eid, A.S.M., & Alnajjar, B.J. (2026). Abdominal ultrasound: Imaging evaluation of the liver, gallbladder, pancreas, and bowel. Biomedical Research and Clinical Reviews.
  9. Fanizzi, F., Zilli, A., D'Amico, F., & Danese, S. (2025). Revolutionizing UC monitoring: The emerging role of intestinal ultrasound. Current Opinion in Gastroenterology.
  10. García-Figueiras, R., Baleato-González, S., & Goh, V. (2026). Quantitative Dual-Energy CT in Abdominal Imaging: Technical Considerations and Emerging Clinical Applications. RadioGraphics. https://pubs.rsna.org/doi/10.1148/rg.250074
  11. Ghasempourabadi, M., & O’Neill, H. (2026). Advances in Pancreatic Imaging: The Expanding Role of Dual-Energy CT in Clinical Diagnosis: A Comprehensive Review. Canadian Association of Radiologists Journal.
  12. Grange, R., Wagner, M., Benzerdjeb, N., Glehen, O., et al. (2026). Spectral CT imaging in colorectal cancer: current applications, limitations, and future perspectives. Insights into Imaging. https://link.springer.com/article/10.1186/s13244-026-02212-9
  13. Hafeez, M., & Sattar, J. (2026). The Horizons of Computed Tomography. IntechOpen. https://www.intechopen.com/online-first/1230989
  14. Hameedat, S.F., Radzi, Y.M., Salman, M.D., et al. (2026). A scoping review of radiation dose and image quality in paediatric CT: Towards safe imaging protocols and diagnostic reference levels in Jordan. Journal of Medical Imaging and Radiation Sciences.
  15. Hong, Y., Zhong, L., Lv, X., Liu, Q., Fu, L., & Zhou, D. (2023). Application of spectral CT in diagnosis, classification and prognostic monitoring of gastrointestinal cancers: progress, limitations and prospects. Frontiers in Molecular Biosciences. https://www.frontiersin.org/articles/10.3389/fmolb.2023.1284549
  16. Hussain, S., Mubeen, I., Ullah, N., et al. (2022). Modern diagnostic imaging technique applications and risk factors in the medical field: a review. BioMed Research International. https://doi.org/10.1155/2022/5164970
  17. Iima, M., Saida, T., & Yamada, Y. (2026). Japanese Radiology 2025 Updates. Canadian Association of Radiologists Journal. https://journals.sagepub.com/doi/10.1177/08465371251374557
  18. International Bowel Ultrasound Group (IBUS). (2026). Extending the frontiers of intestinal ultrasound knowledge, performance and expansion. Alimentary Pharmacology & Therapeutics. https://doi.org/10.1111/apt.70449
  19. Jia, S., Yin, Y., Wang, C., Liu, S., & Jiang, Y. (2026). Diagnostic accuracy of gastrointestinal ultrasound in predicting enteral feeding intolerance: a systematic review and meta-analysis. Frontiers in Nutrition. https://pmc.ncbi.nlm.nih.gov/articles/PMC13137820/
  20. Kantarc?, M., Ayd?n, S., O?ul, H., et al. (2025). New imaging techniques and trends in radiology. Diagnostic and Interventional Radiology. https://pmc.ncbi.nlm.nih.gov/articles/PMC12417918/
  21. Kumar, A., Angiras, S., Singh, K., et al. (2026). Reimaging Radiation Safety: A Call for Unified Practices in the Digital Imaging Era. Indian Journal of Radiology and Imaging. https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0045-1812312
  22. Lanzotti, C., Allocca, M., Zilli, A., D'Amico, F., et al. (2026). Integrating intestinal ultrasound in the personalized management of IBD. Journal of Crohn’s and Colitis. https://pmc.ncbi.nlm.nih.gov/articles/PMC13117478/
  23. Larsen, N.E., Mikkelsen, E., Knudsen, A.R., et al. (2021). Low-dose CT for diagnosing intestinal obstruction and pneumoperitoneum; need for retakes and diagnostic accuracy. Acta Radiologica Open. https://doi.org/10.1177/2058460121989313
  24. Loper, M.R., & Makary, M.S. (2024). Evolving and novel applications of artificial intelligence in abdominal imaging. Tomography, 10(11), 133. https://www.mdpi.com/2379-139X/10/11/133
  25. Mankertz, F., Berger, J., Maalouf, N., Schmid, U., & Stenzl, B. (2026). Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imaging. European Radiology.
  26. May, M.S., & Muttke, A. (2022). Dual-Energy CT Angiography. In Dual-Energy, Multi-Energy and Photon-Counting CT. Springer.
  27. Mileto, A., Ananthakrishnan, L., & Morgan, D.E. (2021). Clinical implementation of dual-energy CT for gastrointestinal imaging. American Journal of Roentgenology. https://doi.org/10.2214/AJR.20.25093
  28. Nishida, M., Hasegawa, Y., & Hata, J. (2023). Basic practices for gastrointestinal ultrasound. Journal of Medical Ultrasonics, 50, 1–15. https://doi.org/10.1007/s10396-022-01236-0
  29. Pal, P., Mateen, M.A., Pooja, K., & Rajadurai, N. (2025). Intestinal ultrasound in Crohn's disease: a systematic review of its role in diagnosis, monitoring, and treatment response. World Journal of Meta-Analysis. https://www.wjgnet.com/2308-3840/full/v13/i2/104080.htm
  30. Patino, M., Prochowski, A., Agrawal, M.D., et al. (2016). Material separation using dual-energy CT: current and emerging applications. RadioGraphics, 36(4), 1087–1105. https://doi.org/10.1148/rg.2016150220
  31. Pepe, A., Crimì, F., Vernuccio, F., et al. (2023). Medical radiology: current progress. Diagnostics, 13(14), 2439. https://www.mdpi.com/2075-4418/13/14/2439
  32. Sanmoto, Y., Zhang, R., Peng, B., Hosokawa, T., & Kondo, Y. (2026). Computer-Aided Diagnosis of Pneumoperitoneum on Neonatal Abdominal Radiographs. Neonatology. https://doi.org/10.1159/000549186
  33. Singh, B.S., Cazacu, I.M., Deza, C.A., et al. (2022). Image fusion involving real-time transabdominal or endoscopic ultrasound for gastrointestinal malignancies: review of current and future applications. Diagnostics, 12(12), 3218. https://www.mdpi.com/2075-4418/12/12/3218
  34. Spanos, C.P. (2024). Non-Traumatic Acute Surgical Problems: An Infographic Guide. Springer Nature.
  35. Spoto, F., De Robertis, R., Monterubbiano, L., et al. (2026). Photon-counting CT in gastrointestinal malignancies: a scoping review. European Journal of Radiology.
  36. Steinsvik, E.K., Hatlebakk, J.G., Hausken, T., & Gilja, O.H. (2021). Ultrasound imaging for assessing functions of the GI tract. Physiological Measurement, 42(12). https://doi.org/10.1088/1361-6579/abdad7
  37. Sun, B., Liu, J., Li, S., Lovell, J.F., & Zhang, Y. (2023). Imaging of gastrointestinal tract ailments. Journal of Imaging, 9(6), 115. https://www.mdpi.com/2313-433X/9/6/115
  38. Tagliamonte, G., Santagata, F., & Fraquelli, M. (2024). Current developments and role of intestinal ultrasound including the advent of AI. Diagnostics, 14(7), 759. https://www.mdpi.com/2075-4418/14/7/759
  39. Voss, B.A., Khandelwal, A., Wells, M.L., et al. (2022). Impact of dual-energy virtual monoenergetic imaging on hepatocellular carcinoma detection. Acta Radiologica. https://doi.org/10.1177/02841851211052993
  40. Wu, Y., Ramai, D., Smith, E.R., et al. (2024). Applications of artificial intelligence in gastrointestinal endoscopic ultrasound: current developments, limitations and future directions. Cancers, 16(24), 4196. https://www.mdpi.com/2072-6694/16/24/4196
  41. Xu, S., Liu, G., Wei, Q., Liu, H., Wu, J., Liu,Y., & He, Z.X. (2025). Recent advances in radionuclide medical imaging techniques. Frontiers in Medicine. https://www.frontiersin.org/articles/10.3389/fmed.2025.1662020
  42. Yang, D., & Yu, G. (2026). Imaging strategies and research advances in gastrointestinal stromal tumors. Current Treatment Options in Oncology. https://doi.org/10.1007/s11864-026-01389-x
  43. Yao, J., Chu, L.C., & Patlas, M. (2024). Applications of artificial intelligence in acute abdominal imaging. Canadian Association of Radiologists Journal. https://doi.org/10.1177/08465371241250197
  44. Zhang, J., & Song, D. (2025). Advances in low-dose spectral computed tomography imaging for colorectal cancer. Radiation Medicine and Protection. https://mednexus.org/doi/abs/10.1016/j.radmp.2025.11.003.

Reference

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  3. Barchi, A., D'Amico, F., Zilli, A., & Furfaro, F. (2023). Recent advances in the use of ultrasound in Crohn's disease. Expert Review of Gastroenterology & Hepatology. https://doi.org/10.1080/17434440.2023.2283166
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  5. Bruno, E., Palmisano, A., Camisassa, E., Vignale, D., et al. (2026). Photon-counting detector CT in oncology: a new era of cancer imaging. Insights into Imaging. https://doi.org/10.1186/s13244-025-02176-2
  6. Chen, Y., Wu, G., Qu, C., Ye, Z., Kang, Y., & Tian, X. (2023). A multifaceted comparative analysis of image and video technologies in gastrointestinal endoscope and their clinical applications. Frontiers in Medicine. https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2023.1226748/full
  7. Chong, J.J.R., Kirpalani, A., & Moreland, R. (2025). Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications. Radiologic Clinics of North America.
  8. Eid, A.S.M., & Alnajjar, B.J. (2026). Abdominal ultrasound: Imaging evaluation of the liver, gallbladder, pancreas, and bowel. Biomedical Research and Clinical Reviews.
  9. Fanizzi, F., Zilli, A., D'Amico, F., & Danese, S. (2025). Revolutionizing UC monitoring: The emerging role of intestinal ultrasound. Current Opinion in Gastroenterology.
  10. García-Figueiras, R., Baleato-González, S., & Goh, V. (2026). Quantitative Dual-Energy CT in Abdominal Imaging: Technical Considerations and Emerging Clinical Applications. RadioGraphics. https://pubs.rsna.org/doi/10.1148/rg.250074
  11. Ghasempourabadi, M., & O’Neill, H. (2026). Advances in Pancreatic Imaging: The Expanding Role of Dual-Energy CT in Clinical Diagnosis: A Comprehensive Review. Canadian Association of Radiologists Journal.
  12. Grange, R., Wagner, M., Benzerdjeb, N., Glehen, O., et al. (2026). Spectral CT imaging in colorectal cancer: current applications, limitations, and future perspectives. Insights into Imaging. https://link.springer.com/article/10.1186/s13244-026-02212-9
  13. Hafeez, M., & Sattar, J. (2026). The Horizons of Computed Tomography. IntechOpen. https://www.intechopen.com/online-first/1230989
  14. Hameedat, S.F., Radzi, Y.M., Salman, M.D., et al. (2026). A scoping review of radiation dose and image quality in paediatric CT: Towards safe imaging protocols and diagnostic reference levels in Jordan. Journal of Medical Imaging and Radiation Sciences.
  15. Hong, Y., Zhong, L., Lv, X., Liu, Q., Fu, L., & Zhou, D. (2023). Application of spectral CT in diagnosis, classification and prognostic monitoring of gastrointestinal cancers: progress, limitations and prospects. Frontiers in Molecular Biosciences. https://www.frontiersin.org/articles/10.3389/fmolb.2023.1284549
  16. Hussain, S., Mubeen, I., Ullah, N., et al. (2022). Modern diagnostic imaging technique applications and risk factors in the medical field: a review. BioMed Research International. https://doi.org/10.1155/2022/5164970
  17. Iima, M., Saida, T., & Yamada, Y. (2026). Japanese Radiology 2025 Updates. Canadian Association of Radiologists Journal. https://journals.sagepub.com/doi/10.1177/08465371251374557
  18. International Bowel Ultrasound Group (IBUS). (2026). Extending the frontiers of intestinal ultrasound knowledge, performance and expansion. Alimentary Pharmacology & Therapeutics. https://doi.org/10.1111/apt.70449
  19. Jia, S., Yin, Y., Wang, C., Liu, S., & Jiang, Y. (2026). Diagnostic accuracy of gastrointestinal ultrasound in predicting enteral feeding intolerance: a systematic review and meta-analysis. Frontiers in Nutrition. https://pmc.ncbi.nlm.nih.gov/articles/PMC13137820/
  20. Kantarc?, M., Ayd?n, S., O?ul, H., et al. (2025). New imaging techniques and trends in radiology. Diagnostic and Interventional Radiology. https://pmc.ncbi.nlm.nih.gov/articles/PMC12417918/
  21. Kumar, A., Angiras, S., Singh, K., et al. (2026). Reimaging Radiation Safety: A Call for Unified Practices in the Digital Imaging Era. Indian Journal of Radiology and Imaging. https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0045-1812312
  22. Lanzotti, C., Allocca, M., Zilli, A., D'Amico, F., et al. (2026). Integrating intestinal ultrasound in the personalized management of IBD. Journal of Crohn’s and Colitis. https://pmc.ncbi.nlm.nih.gov/articles/PMC13117478/
  23. Larsen, N.E., Mikkelsen, E., Knudsen, A.R., et al. (2021). Low-dose CT for diagnosing intestinal obstruction and pneumoperitoneum; need for retakes and diagnostic accuracy. Acta Radiologica Open. https://doi.org/10.1177/2058460121989313
  24. Loper, M.R., & Makary, M.S. (2024). Evolving and novel applications of artificial intelligence in abdominal imaging. Tomography, 10(11), 133. https://www.mdpi.com/2379-139X/10/11/133
  25. Mankertz, F., Berger, J., Maalouf, N., Schmid, U., & Stenzl, B. (2026). Bowel ischemia detection on portal venous CT: multireader evaluation of dual-energy and photon-counting spectral imaging. European Radiology.
  26. May, M.S., & Muttke, A. (2022). Dual-Energy CT Angiography. In Dual-Energy, Multi-Energy and Photon-Counting CT. Springer.
  27. Mileto, A., Ananthakrishnan, L., & Morgan, D.E. (2021). Clinical implementation of dual-energy CT for gastrointestinal imaging. American Journal of Roentgenology. https://doi.org/10.2214/AJR.20.25093
  28. Nishida, M., Hasegawa, Y., & Hata, J. (2023). Basic practices for gastrointestinal ultrasound. Journal of Medical Ultrasonics, 50, 1–15. https://doi.org/10.1007/s10396-022-01236-0
  29. Pal, P., Mateen, M.A., Pooja, K., & Rajadurai, N. (2025). Intestinal ultrasound in Crohn's disease: a systematic review of its role in diagnosis, monitoring, and treatment response. World Journal of Meta-Analysis. https://www.wjgnet.com/2308-3840/full/v13/i2/104080.htm
  30. Patino, M., Prochowski, A., Agrawal, M.D., et al. (2016). Material separation using dual-energy CT: current and emerging applications. RadioGraphics, 36(4), 1087–1105. https://doi.org/10.1148/rg.2016150220
  31. Pepe, A., Crimì, F., Vernuccio, F., et al. (2023). Medical radiology: current progress. Diagnostics, 13(14), 2439. https://www.mdpi.com/2075-4418/13/14/2439
  32. Sanmoto, Y., Zhang, R., Peng, B., Hosokawa, T., & Kondo, Y. (2026). Computer-Aided Diagnosis of Pneumoperitoneum on Neonatal Abdominal Radiographs. Neonatology. https://doi.org/10.1159/000549186
  33. Singh, B.S., Cazacu, I.M., Deza, C.A., et al. (2022). Image fusion involving real-time transabdominal or endoscopic ultrasound for gastrointestinal malignancies: review of current and future applications. Diagnostics, 12(12), 3218. https://www.mdpi.com/2075-4418/12/12/3218
  34. Spanos, C.P. (2024). Non-Traumatic Acute Surgical Problems: An Infographic Guide. Springer Nature.
  35. Spoto, F., De Robertis, R., Monterubbiano, L., et al. (2026). Photon-counting CT in gastrointestinal malignancies: a scoping review. European Journal of Radiology.
  36. Steinsvik, E.K., Hatlebakk, J.G., Hausken, T., & Gilja, O.H. (2021). Ultrasound imaging for assessing functions of the GI tract. Physiological Measurement, 42(12). https://doi.org/10.1088/1361-6579/abdad7
  37. Sun, B., Liu, J., Li, S., Lovell, J.F., & Zhang, Y. (2023). Imaging of gastrointestinal tract ailments. Journal of Imaging, 9(6), 115. https://www.mdpi.com/2313-433X/9/6/115
  38. Tagliamonte, G., Santagata, F., & Fraquelli, M. (2024). Current developments and role of intestinal ultrasound including the advent of AI. Diagnostics, 14(7), 759. https://www.mdpi.com/2075-4418/14/7/759
  39. Voss, B.A., Khandelwal, A., Wells, M.L., et al. (2022). Impact of dual-energy virtual monoenergetic imaging on hepatocellular carcinoma detection. Acta Radiologica. https://doi.org/10.1177/02841851211052993
  40. Wu, Y., Ramai, D., Smith, E.R., et al. (2024). Applications of artificial intelligence in gastrointestinal endoscopic ultrasound: current developments, limitations and future directions. Cancers, 16(24), 4196. https://www.mdpi.com/2072-6694/16/24/4196
  41. Xu, S., Liu, G., Wei, Q., Liu, H., Wu, J., Liu,Y., & He, Z.X. (2025). Recent advances in radionuclide medical imaging techniques. Frontiers in Medicine. https://www.frontiersin.org/articles/10.3389/fmed.2025.1662020
  42. Yang, D., & Yu, G. (2026). Imaging strategies and research advances in gastrointestinal stromal tumors. Current Treatment Options in Oncology. https://doi.org/10.1007/s11864-026-01389-x
  43. Yao, J., Chu, L.C., & Patlas, M. (2024). Applications of artificial intelligence in acute abdominal imaging. Canadian Association of Radiologists Journal. https://doi.org/10.1177/08465371241250197
  44. Zhang, J., & Song, D. (2025). Advances in low-dose spectral computed tomography imaging for colorectal cancer. Radiation Medicine and Protection. https://mednexus.org/doi/abs/10.1016/j.radmp.2025.11.003.

Photo
Nisha
Corresponding author

Department Allied and HealthCare Science, St. Soldier Institute of Pharmacy, Lidhran Campus, Behind NIT(R.E.C.), Jalandhar-Amritsar bypass NH-1 jalandhar-144011, Punjab, India

Photo
Saruchi
Co-author

Department Allied and HealthCare Science, St. Soldier Institute of Pharmacy, Lidhran Campus, Behind NIT(R.E.C.), Jalandhar-Amritsar bypass NH-1 jalandhar-144011, Punjab, India

Photo
Ajeet Pal Singh
Co-author

Department of Pharmacology, St. Soldier Institute of Pharmacy, Lidhran Campus, Behind NIT(R.E.C.), Jalandhar-Amritsar bypass NH-1 jalandhar-144011, Punjab, India

Photo
Amar Pal Singh
Co-author

Department of Pharmacology, St. Soldier Institute of Pharmacy, Lidhran Campus, Behind NIT(R.E.C.), Jalandhar-Amritsar bypass NH-1 jalandhar-144011, Punjab, India

Nisha*, Saruchi, Ajeet Pal Singh, Amar Pal Singh, Advances in Gastrointestinal Tract Imaging: A Comprehensive Review of X-Ray, Ultrasonography, and Computed Tomography, Int. J. of Pharm. Sci., 2026, Vol 4, Issue 5, 4924-4939. https://doi.org/10.5281/zenodo.20284930

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