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Factors associated with pericolic fat stranding of colon cancer on computed tomography colonography

BACKGROUND: Pericolic fat stranding on computed tomography (CT) scans has been an important feature for staging colon cancer. However, the factors associated with pericolic fat stranding have not been elucidated to date. PURPOSE: To determine factors associated with pericolic fat stranding of colon...

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Autores principales: Morimoto, Tsuyoshi, Yamada, Takayuki, Miyakawa, Kunihisa, Nakajima, Yasuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821301/
https://www.ncbi.nlm.nih.gov/pubmed/29487748
http://dx.doi.org/10.1177/2058460118757578
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author Morimoto, Tsuyoshi
Yamada, Takayuki
Miyakawa, Kunihisa
Nakajima, Yasuo
author_facet Morimoto, Tsuyoshi
Yamada, Takayuki
Miyakawa, Kunihisa
Nakajima, Yasuo
author_sort Morimoto, Tsuyoshi
collection PubMed
description BACKGROUND: Pericolic fat stranding on computed tomography (CT) scans has been an important feature for staging colon cancer. However, the factors associated with pericolic fat stranding have not been elucidated to date. PURPOSE: To determine factors associated with pericolic fat stranding of colon cancer on CT colonography (CTC). MATERIAL AND METHODS: Overall, 150 patients with 155 colon cancer lesions were retrospectively assessed by two radiologists for pericolic fat stranding on CTC. Circumferential proportion of the tumor (CPtumor; <50%, 50–75%, and ≥75%), longitudinal length, depth of invasion (≤T2, T3, T4), lymph node and distant metastasis, and lymphovascular invasion were recorded. Univariate and multivariate logistic regression analyses were performed between pericolic fat stranding and each factor. Multi-group comparisons were performed for the CPtumor and depth of invasion. RESULTS: Pericolic fat stranding was identified in 57 lesions (36.8%). Univariate analysis revealed significant associations of pericolic fat stranding with all factors (P < 0.027), except for lymph node metastasis (P = 0.087). Multi-group comparisons revealed that pericolic fat stranding was more frequent with increasing CPtumor (P < 0.001); however, no significant differences were observed beyond subserosal infiltration (P = 0.225). Logistic regression analysis revealed the CPtumor (<75% vs. ≥75%; P = 0.008, <50% vs. 50–75%; P = 0.047) and longitudinal length (P = 0.001) as explainable variables. CONCLUSION: Pericolic fat stranding identified on CT images of colon cancer is demonstrated more frequently with increasing circumferential proportion of the tumor and longitudinal length.
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spelling pubmed-58213012018-02-27 Factors associated with pericolic fat stranding of colon cancer on computed tomography colonography Morimoto, Tsuyoshi Yamada, Takayuki Miyakawa, Kunihisa Nakajima, Yasuo Acta Radiol Open Research BACKGROUND: Pericolic fat stranding on computed tomography (CT) scans has been an important feature for staging colon cancer. However, the factors associated with pericolic fat stranding have not been elucidated to date. PURPOSE: To determine factors associated with pericolic fat stranding of colon cancer on CT colonography (CTC). MATERIAL AND METHODS: Overall, 150 patients with 155 colon cancer lesions were retrospectively assessed by two radiologists for pericolic fat stranding on CTC. Circumferential proportion of the tumor (CPtumor; <50%, 50–75%, and ≥75%), longitudinal length, depth of invasion (≤T2, T3, T4), lymph node and distant metastasis, and lymphovascular invasion were recorded. Univariate and multivariate logistic regression analyses were performed between pericolic fat stranding and each factor. Multi-group comparisons were performed for the CPtumor and depth of invasion. RESULTS: Pericolic fat stranding was identified in 57 lesions (36.8%). Univariate analysis revealed significant associations of pericolic fat stranding with all factors (P < 0.027), except for lymph node metastasis (P = 0.087). Multi-group comparisons revealed that pericolic fat stranding was more frequent with increasing CPtumor (P < 0.001); however, no significant differences were observed beyond subserosal infiltration (P = 0.225). Logistic regression analysis revealed the CPtumor (<75% vs. ≥75%; P = 0.008, <50% vs. 50–75%; P = 0.047) and longitudinal length (P = 0.001) as explainable variables. CONCLUSION: Pericolic fat stranding identified on CT images of colon cancer is demonstrated more frequently with increasing circumferential proportion of the tumor and longitudinal length. SAGE Publications 2018-02-19 /pmc/articles/PMC5821301/ /pubmed/29487748 http://dx.doi.org/10.1177/2058460118757578 Text en © The Foundation Acta Radiologica 2018 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research
Morimoto, Tsuyoshi
Yamada, Takayuki
Miyakawa, Kunihisa
Nakajima, Yasuo
Factors associated with pericolic fat stranding of colon cancer on computed tomography colonography
title Factors associated with pericolic fat stranding of colon cancer on computed tomography colonography
title_full Factors associated with pericolic fat stranding of colon cancer on computed tomography colonography
title_fullStr Factors associated with pericolic fat stranding of colon cancer on computed tomography colonography
title_full_unstemmed Factors associated with pericolic fat stranding of colon cancer on computed tomography colonography
title_short Factors associated with pericolic fat stranding of colon cancer on computed tomography colonography
title_sort factors associated with pericolic fat stranding of colon cancer on computed tomography colonography
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821301/
https://www.ncbi.nlm.nih.gov/pubmed/29487748
http://dx.doi.org/10.1177/2058460118757578
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