Evidence map›Paper›PMID 41428047›Full record

ArticleAbdominal radiology (New York)2026

The role of routine imaging in identifying endoluminal colorectal pathology, a United Kingdom clinical experience.

Narendranath Govindarajah, Daniel Livingstone, Robert Mitchell, Keith Farrell-Dillon, Edward Antram, Sharmin Malekout, Nigel Beharry, Kunal Patel, Nirav Patel, Kesavan Kandiah and 1 more

Abstract read
In one paragraph

Article in Abdominal radiology (New York), 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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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Narendranath GovindarajahDepartment of Radiology, St George's Hospital, London, UK. Narendranath.Govindarajah@stgeorges.nhs.uk.
Daniel LivingstoneDepartment of Radiology, St George's Hospital, London, UK.
Robert MitchellDepartment of Radiology, St George's Hospital, London, UK.
Keith Farrell-DillonDepartment of Radiology, St George's Hospital, London, UK.
Edward AntramDepartment of Radiology, St George's Hospital, London, UK.
Sharmin MalekoutDepartment of Radiology, St George's Hospital, London, UK.
Nigel BeharryDepartment of Radiology, St George's Hospital, London, UK.
Kunal PatelDepartment of Radiology, St George's Hospital, London, UK.
Nirav PatelDepartment of Radiology, St George's Hospital, London, UK.
Kesavan KandiahDepartment of Radiology, St George's Hospital, London, UK.
Anita WaleDepartment of Radiology, St George's Hospital, London, UK. awale@citystgeorges.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeColorectal cancer (CRC) is a leading cause of cancer-related death, and timely and accurate recognition of endoluminal pathology is crucial. While CT colonography (CTC) is validated for luminal assessment with a sensitivity concordant to endoscopy, most radiology referrals to the tumor board are based on unprepared CT abdominal studies without bowel preparation or fecal tagging. The diagnostic yield of these routine unprepared CT scans and the influence of radiologist subspecialty, remain uncertain. This study evaluated the positive predictive value of CTC and unprepared CT for suspected endoluminal pathology and examined the impact of gastrointestinal (GI) subspeciality reporting.

methodsWe reviewed colorectal tumor board outcomes from 2022 at St George's Hospital, London, United Kingdom. Patients referred to the tumor board by radiology were identified and analyzed through patient records. Radiological and endoscopic concordance was assessed using composite endpoints.

resultsOf the 106 radiology-initiated referrals to the tumor board in 2022, 61 (58%) were for suspected endoluminal pathology. Overall positive predictive value (PPV) was 79% (42 true positives and 11 false positives). The PPV was 91% for CTC and 70% for unprepared CT. GI subspecialist reporters identified 44% more endoluminal lesions on unprepared CT than non-specialist reports (p < 0.0001), but without a significant difference in PPV (67% vs. 78%, p = 0.543). No significant difference in colorectal cancer detection was observed between CTC and unprepared CT (p = 0.8).

conclusionUnprepared CT demonstrates a good PPV (70%) for detecting endoluminal pathology, with over half of identified lesions being malignant. Although PPV is comparable between GI and non-GI radiologists, GI subspecialists refer significantly more cases for further evaluation, emphasizing the importance of subspeciality expertise. Radiologists should confidently raise suspicion of endoluminal pathology to ensure timely referral for direct visualization and tumor board discussion.

Indexed as

Colonography, Computed TomographicColorectal NeoplasmsTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityUnited KingdomColorectal neoplasmsRadiologyTomographyX-ray computedX-ray computed + colonoscopy or virtual colonoscopy

Identifiers

PMID41428047
PMCPMC13269448

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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.