Value of dual-energy CT quantitative parameters combined with clinical features in diagnosis of stages T2 and T3 colorectal cancer

Objective‍ ‍To investigate the diagnostic value of our regression model based on quantitative parameters of dual-energy CT and clinical features for stages T2 and T3 colorectal cancer. Methods‍ ‍A cross-section study was performed on 91 patients with colorectal cancer confirmed by postoperative path...

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Main Authors: FANG Ni, WEI Xin, CHEN Weijuan
Format: Article
Language:zho
Published: Editorial Office of Journal of Army Medical University 2025-01-01
Series:陆军军医大学学报
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Online Access:https://aammt.tmmu.edu.cn/html/202408035.html
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author FANG Ni
WEI Xin
CHEN Weijuan
author_facet FANG Ni
WEI Xin
CHEN Weijuan
author_sort FANG Ni
collection DOAJ
description Objective‍ ‍To investigate the diagnostic value of our regression model based on quantitative parameters of dual-energy CT and clinical features for stages T2 and T3 colorectal cancer. Methods‍ ‍A cross-section study was performed on 91 patients with colorectal cancer confirmed by postoperative pathology in our hospital from January 2022 to November 2023. All of them underwent dual-energy CT examination. According to the pathological T staging criteria of Chinese Colorectal Cancer Diagnosis and Treatment Standard (2020 Edition), they were divided into T2 group (n=43) and T3 group (n=48). Univariate analysis was used to compare the differences in quantitative CT parameters and clinical features between the 2 groups, and the obtained significant variables were employed to construct diagnosis models by univariate or multivariate logistic regression analysis. The area under receiver operating characteristic curve (AUC) of the CT parametric model and the model combined with clinical features was compared to evaluate the efficacy of diagnosing T2 and T3 stages. Results‍ ‍Univariate analysis showed that carcinoembryonic antigen (CEA), N stage, tumor location, tumor longest diameter (LD), CT value of virtual noncontrast (CT-VNC), fat fraction, electron density (Rho) and dual energy index (DEI) were significantly different between the T2 and T3 groups (P<0.05). Multivariate logistic regression analysis found that N stage, tumor location, LD, fat fraction and DEI were independent risk factors for the diagnosis of stage T3. The AUC value of the model of above CT parameters in diagnosing stage T3 colorectal cancer was 0.671 (95%CI: 0.558~0.783), and the AUC value of the combined model of above CT parameters and clinical features was 0.886 (95%CI: 0.815~0.957), and statistical difference was observed in the AUC value between the combined model and the CT parametric model (P<0.01). Conclusion‍ ‍The regression model constructed with dual-energy CT quantitative parameters combined with clinical features has high value in the preoperative diagnosis of stages T2 and T3 colorectal cancer before surgery.
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series 陆军军医大学学报
spelling doaj-art-719e3cfb524b41c4ae03f26f5d51ce532025-01-23T08:18:19ZzhoEditorial Office of Journal of Army Medical University陆军军医大学学报2097-09272025-01-0147217718510.16016/j.2097-0927.202408035Value of dual-energy CT quantitative parameters combined with clinical features in diagnosis of stages T2 and T3 colorectal cancerFANG Ni0WEI Xin1CHEN Weijuan2Department of Radiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Radiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Radiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaObjective‍ ‍To investigate the diagnostic value of our regression model based on quantitative parameters of dual-energy CT and clinical features for stages T2 and T3 colorectal cancer. Methods‍ ‍A cross-section study was performed on 91 patients with colorectal cancer confirmed by postoperative pathology in our hospital from January 2022 to November 2023. All of them underwent dual-energy CT examination. According to the pathological T staging criteria of Chinese Colorectal Cancer Diagnosis and Treatment Standard (2020 Edition), they were divided into T2 group (n=43) and T3 group (n=48). Univariate analysis was used to compare the differences in quantitative CT parameters and clinical features between the 2 groups, and the obtained significant variables were employed to construct diagnosis models by univariate or multivariate logistic regression analysis. The area under receiver operating characteristic curve (AUC) of the CT parametric model and the model combined with clinical features was compared to evaluate the efficacy of diagnosing T2 and T3 stages. Results‍ ‍Univariate analysis showed that carcinoembryonic antigen (CEA), N stage, tumor location, tumor longest diameter (LD), CT value of virtual noncontrast (CT-VNC), fat fraction, electron density (Rho) and dual energy index (DEI) were significantly different between the T2 and T3 groups (P<0.05). Multivariate logistic regression analysis found that N stage, tumor location, LD, fat fraction and DEI were independent risk factors for the diagnosis of stage T3. The AUC value of the model of above CT parameters in diagnosing stage T3 colorectal cancer was 0.671 (95%CI: 0.558~0.783), and the AUC value of the combined model of above CT parameters and clinical features was 0.886 (95%CI: 0.815~0.957), and statistical difference was observed in the AUC value between the combined model and the CT parametric model (P<0.01). Conclusion‍ ‍The regression model constructed with dual-energy CT quantitative parameters combined with clinical features has high value in the preoperative diagnosis of stages T2 and T3 colorectal cancer before surgery. https://aammt.tmmu.edu.cn/html/202408035.html‍colorectal tumort stagetomography, x-ray computerdual energy imaging
spellingShingle FANG Ni
WEI Xin
CHEN Weijuan
Value of dual-energy CT quantitative parameters combined with clinical features in diagnosis of stages T2 and T3 colorectal cancer
陆军军医大学学报
‍colorectal tumor
t stage
tomography, x-ray computer
dual energy imaging
title Value of dual-energy CT quantitative parameters combined with clinical features in diagnosis of stages T2 and T3 colorectal cancer
title_full Value of dual-energy CT quantitative parameters combined with clinical features in diagnosis of stages T2 and T3 colorectal cancer
title_fullStr Value of dual-energy CT quantitative parameters combined with clinical features in diagnosis of stages T2 and T3 colorectal cancer
title_full_unstemmed Value of dual-energy CT quantitative parameters combined with clinical features in diagnosis of stages T2 and T3 colorectal cancer
title_short Value of dual-energy CT quantitative parameters combined with clinical features in diagnosis of stages T2 and T3 colorectal cancer
title_sort value of dual energy ct quantitative parameters combined with clinical features in diagnosis of stages t2 and t3 colorectal cancer
topic ‍colorectal tumor
t stage
tomography, x-ray computer
dual energy imaging
url https://aammt.tmmu.edu.cn/html/202408035.html
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AT weixin valueofdualenergyctquantitativeparameterscombinedwithclinicalfeaturesindiagnosisofstagest2andt3colorectalcancer
AT chenweijuan valueofdualenergyctquantitativeparameterscombinedwithclinicalfeaturesindiagnosisofstagest2andt3colorectalcancer