Multidetector Computed Tomography in Bowel Lesion Evaluation: Clinical Applications, Advantages, and Future Directions

Multidetector computed tomography (MDCT) has emerged as a pivotal imaging modality for evaluating bowel lesions, offering rapid image acquisition, high spatial resolution, and multiplanar reconstructions. It plays a critical role in diagnosing a wide spectrum of gastrointestinal pathologies, ranging from inflammatory bowel disease to neoplasms and bowel obstruction. This narrative review aims to explore the evolving role of MDCT in gastrointestinal imaging, highlighting its technical foundations, clinical utility, diagnostic performance, and integration with emerging technologies. A comprehensive literature search was conducted using databases such as PubMed, Scopus, and Google Scholar, focusing on articles published between 2000 and 2025. Priority was given to recent studies (2020–2025) and those emphasizing comparative effectiveness, artificial intelligence (AI) integration, and dual-energy computed tomography (DECT) applications in bowel imaging. MDCT provides detailed anatomical and functional insights that enhance the diagnostic accuracy of bowel lesions. It allows effective assessment of mural thickening, vascularity, and complications across conditions such as Crohn’s disease, colorectal carcinoma, ischemic colitis, and small bowel obstruction. Comparative studies show that MDCT outperforms conventional radiography and ultrasound in sensitivity and specificity for detecting bowel pathology. Innovations such as DECT, perfusion imaging, and AI-based algorithms further refine image interpretation and workflow efficiency. MDCT represents a cornerstone in gastrointestinal diagnostics by bridging advanced imaging capabilities with clinical requirements. Its expanding role, particularly with AI integration and dual-energy technology, signals a transformative shift in the evaluation of bowel lesions. Increasing accessibility to MDCT in resource-constrained settings and continued technological innovation are essential for optimizing global gastrointestinal care.

Authors

Institutions

Publication Details

Journal
International journal of Nutrition Pharmacology Neurological Diseases
Published
2025-10-01
DOI
https://doi.org/10.4103/ijnpnd.ijnpnd_52_25
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multidetector Computed Tomography in Bowel Lesion Evaluation: Clinical Applications, Advantages, and Future Directions

Rakshanda Agrawal, Pratapsingh Parihar, Komal Mishra
International journal of Nutrition Pharmacology Neurological Diseases
Advanced X-ray and CT Imaging
article

Multidetector Computed Tomography in Bowel Lesion Evaluation: Clinical Applications, Advantages, and Future Directions

Rakshanda Agrawal, Pratapsingh Parihar, Komal Mishra
article en

Abstract

Multidetector computed tomography (MDCT) has emerged as a pivotal imaging modality for evaluating bowel lesions, offering rapid image acquisition, high spatial resolution, and multiplanar reconstructions. It plays a critical role in diagnosing a wide spectrum of gastrointestinal pathologies, ranging from inflammatory bowel disease to neoplasms and bowel obstruction. This narrative review aims to explore the evolving role of MDCT in gastrointestinal imaging, highlighting its technical foundations, clinical utility, diagnostic performance, and integration with emerging technologies. A comprehensive literature search was conducted using databases such as PubMed, Scopus, and Google Scholar, focusing on articles published between 2000 and 2025. Priority was given to recent studies (2020–2025) and those emphasizing comparative effectiveness, artificial intelligence (AI) integration, and dual-energy computed tomography (DECT) applications in bowel imaging. MDCT provides detailed anatomical and functional insights that enhance the diagnostic accuracy of bowel lesions. It allows effective assessment of mural thickening, vascularity, and complications across conditions such as Crohn’s disease, colorectal carcinoma, ischemic colitis, and small bowel obstruction. Comparative studies show that MDCT outperforms conventional radiography and ultrasound in sensitivity and specificity for detecting bowel pathology. Innovations such as DECT, perfusion imaging, and AI-based algorithms further refine image interpretation and workflow efficiency. MDCT represents a cornerstone in gastrointestinal diagnostics by bridging advanced imaging capabilities with clinical requirements. Its expanding role, particularly with AI integration and dual-energy technology, signals a transformative shift in the evaluation of bowel lesions. Increasing accessibility to MDCT in resource-constrained settings and continued technological innovation are essential for optimizing global gastrointestinal care.

International journal of Nutrition Pharmacology Neurological DiseasesVol. 15(4)
Jawaharlal Nehru Medical College (IN), Datta Meghe Institute of Higher Education and Research (IN)
Openalex Percentile: Top 63%
Advanced X-ray and CT Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.