Cargando…
Strategies for improving colorectal cancer detection with routine computed tomography
PURPOSE: To report the detection rate of colorectal tumors with computed tomography (CT) performed within 1 year before diagnosis for indications other than colon abnormalities. Strategies to improve cancer detection are reported. METHODS: Two board-certified, subspecialty-trained abdominal radiolog...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036972/ https://www.ncbi.nlm.nih.gov/pubmed/36961532 http://dx.doi.org/10.1007/s00261-023-03884-3 |
_version_ | 1784911779751526400 |
---|---|
author | Johnson, C. Daniel Flicek, Kristina T. Mead-Harvey, Carolyn Quillen, Jaxon K. |
author_facet | Johnson, C. Daniel Flicek, Kristina T. Mead-Harvey, Carolyn Quillen, Jaxon K. |
author_sort | Johnson, C. Daniel |
collection | PubMed |
description | PURPOSE: To report the detection rate of colorectal tumors with computed tomography (CT) performed within 1 year before diagnosis for indications other than colon abnormalities. Strategies to improve cancer detection are reported. METHODS: Two board-certified, subspecialty-trained abdominal radiologists retrospectively reviewed patient health records and CT images with knowledge of tumor location/size. Patients were classified into 3 groups: prospective (colon abnormality suggesting neoplasm documented in radiologic report), retrospective (not documented in radiologic report but detected in our retrospective review of CT images), and undetected (neither prospectively nor retrospectively detected). Retrospective detection confidence and morphologic characteristics of each tumor were also recorded. RESULTS: Of 209 included patients, 106 (50.7%) had prospectively detected tumors, 66 (31.6%) had retrospectively detected tumors, and 37 (17.7%) had undetected tumors. Asymmetric bowel wall thickening and polypoid masses were present more often in the retrospective group than in the prospective group (27% vs. 10.5% and 26% vs. 17.1%, respectively). Tumors in the ascending colon were more likely to be detected retrospectively than prospectively (odds ratio, 2.75; 95% CI 1.07–7.08; P = 0.04). Undetected tumors were smaller on average (2.9 cm) than prospective (6.0 cm) and retrospective (4.9 cm) tumors (P = 0.03). Detection confidence was lower for retrospectively detected tumors than for prospectively detected tumors (P = 0.03). Indications other than abdominal pain were most common for retrospectively detected tumors (P = 0.03). Use of intravenous contrast material was lowest in the undetected group (P = 0.003). The prospective group had more pericolonic abnormalities, regional/retroperitoneal lymph node involvement (P < 0.001), and distant metastases than did the retrospective group (P = 0.01). CONCLUSION: Half of all colorectal tumors were not detected prospectively. Radiologists should perform meticulous colon tracking regardless of the indication for CT. The right colon merits additional examination. Polypoid and asymmetric morphologic characteristics were most often overlooked, but these characteristics can be learned to improve detection. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-10036972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100369722023-03-24 Strategies for improving colorectal cancer detection with routine computed tomography Johnson, C. Daniel Flicek, Kristina T. Mead-Harvey, Carolyn Quillen, Jaxon K. Abdom Radiol (NY) Technical PURPOSE: To report the detection rate of colorectal tumors with computed tomography (CT) performed within 1 year before diagnosis for indications other than colon abnormalities. Strategies to improve cancer detection are reported. METHODS: Two board-certified, subspecialty-trained abdominal radiologists retrospectively reviewed patient health records and CT images with knowledge of tumor location/size. Patients were classified into 3 groups: prospective (colon abnormality suggesting neoplasm documented in radiologic report), retrospective (not documented in radiologic report but detected in our retrospective review of CT images), and undetected (neither prospectively nor retrospectively detected). Retrospective detection confidence and morphologic characteristics of each tumor were also recorded. RESULTS: Of 209 included patients, 106 (50.7%) had prospectively detected tumors, 66 (31.6%) had retrospectively detected tumors, and 37 (17.7%) had undetected tumors. Asymmetric bowel wall thickening and polypoid masses were present more often in the retrospective group than in the prospective group (27% vs. 10.5% and 26% vs. 17.1%, respectively). Tumors in the ascending colon were more likely to be detected retrospectively than prospectively (odds ratio, 2.75; 95% CI 1.07–7.08; P = 0.04). Undetected tumors were smaller on average (2.9 cm) than prospective (6.0 cm) and retrospective (4.9 cm) tumors (P = 0.03). Detection confidence was lower for retrospectively detected tumors than for prospectively detected tumors (P = 0.03). Indications other than abdominal pain were most common for retrospectively detected tumors (P = 0.03). Use of intravenous contrast material was lowest in the undetected group (P = 0.003). The prospective group had more pericolonic abnormalities, regional/retroperitoneal lymph node involvement (P < 0.001), and distant metastases than did the retrospective group (P = 0.01). CONCLUSION: Half of all colorectal tumors were not detected prospectively. Radiologists should perform meticulous colon tracking regardless of the indication for CT. The right colon merits additional examination. Polypoid and asymmetric morphologic characteristics were most often overlooked, but these characteristics can be learned to improve detection. GRAPHICAL ABSTRACT: [Image: see text] Springer US 2023-03-24 2023 /pmc/articles/PMC10036972/ /pubmed/36961532 http://dx.doi.org/10.1007/s00261-023-03884-3 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Technical Johnson, C. Daniel Flicek, Kristina T. Mead-Harvey, Carolyn Quillen, Jaxon K. Strategies for improving colorectal cancer detection with routine computed tomography |
title | Strategies for improving colorectal cancer detection with routine computed tomography |
title_full | Strategies for improving colorectal cancer detection with routine computed tomography |
title_fullStr | Strategies for improving colorectal cancer detection with routine computed tomography |
title_full_unstemmed | Strategies for improving colorectal cancer detection with routine computed tomography |
title_short | Strategies for improving colorectal cancer detection with routine computed tomography |
title_sort | strategies for improving colorectal cancer detection with routine computed tomography |
topic | Technical |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036972/ https://www.ncbi.nlm.nih.gov/pubmed/36961532 http://dx.doi.org/10.1007/s00261-023-03884-3 |
work_keys_str_mv | AT johnsoncdaniel strategiesforimprovingcolorectalcancerdetectionwithroutinecomputedtomography AT flicekkristinat strategiesforimprovingcolorectalcancerdetectionwithroutinecomputedtomography AT meadharveycarolyn strategiesforimprovingcolorectalcancerdetectionwithroutinecomputedtomography AT quillenjaxonk strategiesforimprovingcolorectalcancerdetectionwithroutinecomputedtomography |