ReviewCancer imaging : the official publication of the International Cancer Imaging Society2026
The CT colonography radiology and data system: history, updates, and future directions.
Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
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Abstract
Computed tomography colonography, also known as virtual colonoscopy, is a minimally invasive imaging technique developed in the early 1990s to evaluate the colon for polyps, cancer, and other abnormalities. Advances in multidetector computed tomography, bowel preparation protocols, and three-dimensional reconstruction rapidly improved diagnostic performance. Landmark trials demonstrating sensitivity for clinically significant adenomas comparable to optical colonoscopy led to its acceptance as a colorectal cancer screening option. Standardized reporting further accelerated clinical uptake. The CT Colonography Reporting and Data System (C-RADS), introduced in 2005, provided a structured lexicon for colonic and extracolonic findings, allowing more consistent communication and management. Prior to structured reporting, early clinical implementation of computed tomography colonography was challenged by wide variability in terminology and follow-up thresholds. C-RADS addressed these issues by categorizing colonic findings according to adequacy of evaluation and likelihood of neoplastic disease and stratifying extracolonic observations based on clinical significance. The system enhanced clarity, increased reproducibility, and supported longitudinal research efforts by enabling systematic outcome tracking. Experience gained over the next decade and a half led to the C-RADS 2023 update. Notable changes included subdivision of intermediate colonic findings to distinguish likely benign diverticular-associated soft tissue thickening from indeterminate lesions, and simplification of extracolonic categories to reduce over-reporting of clinically unimportant findings. Future directions include broader adoption across health systems, automated detection and computer-assisted interpretation, and integration with artificial intelligence to improve polyp identification and extracolonic assessment. Together, these advances are expected to expand access, improve efficiency, and further solidify computed tomography colonography within evidence-supported screening practice.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.