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Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer

The aim of the present study was to identify a novel strategy that predicts the metastatic status of lymph nodes (LNs) in patients diagnosed with colorectal cancer, using detailed characteristics of contrast-enhanced CT scan images. A total of 284 preoperative CT scans derived from patients diagnose...

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Autores principales: Miao, Shi-Song, Lu, Yuan-Fei, Chen, Hai-Yan, Liu, Qing-Meng, Chen, Jie-Yu, Pan, Yao, Yu, Ri-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114938/
https://www.ncbi.nlm.nih.gov/pubmed/32269618
http://dx.doi.org/10.3892/ol.2020.11454
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author Miao, Shi-Song
Lu, Yuan-Fei
Chen, Hai-Yan
Liu, Qing-Meng
Chen, Jie-Yu
Pan, Yao
Yu, Ri-Sheng
author_facet Miao, Shi-Song
Lu, Yuan-Fei
Chen, Hai-Yan
Liu, Qing-Meng
Chen, Jie-Yu
Pan, Yao
Yu, Ri-Sheng
author_sort Miao, Shi-Song
collection PubMed
description The aim of the present study was to identify a novel strategy that predicts the metastatic status of lymph nodes (LNs) in patients diagnosed with colorectal cancer, using detailed characteristics of contrast-enhanced CT scan images. A total of 284 preoperative CT scans derived from patients diagnosed with colorectal cancer at Second Affiliated Hospital, Zhejiang University School of Medicine between January 2013 and July 2018 were retrospectively reviewed. A total of 794 LNs were assessed for size, margins, morphology and subtle internal enhancements in the equilibrium phase. Imaging features were analyzed by two abdominal radiologists (Department of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine and Departments of Radiology; Shaoxing Second Hospital Departments of Radiology, Shaoxing Second Hospital) in a blind manner. If the conclusions were not concordant, the final score was determined by a senior radiologist who specialized in abdominal radiology for ≥30 years. According to the histopathology results, 27.3% (217/794) of LNs were metastatic (LN+). In addition, LNs >10 mm in size demonstrated sensitivity, specificity, positive predictive values (PPVs) and negative predictive values (NPVs) of 47.0, 80.9, 48.1 and 80.2%, respectively [odds ratio (OR), 3.77; 95% confidence interval (CI), 2.69–5.28]. LNs in the shape of a kidney bean (middle fat depression like kidney) and/or those with an oblong shape were more likely to be metastasis negative LNs (LN-), while lobulated and irregular LNs were more likely to be LN+. In magnified images, internal enhancement characteristics of LN- were defined as homogeneous, spotted, striped and core enhancing. By contrast, rim and heterogeneity enhancement features for LN+ demonstrated sensitivity, specificity, PPVs and NPVs of 46.5, 89.9, 63.5 and 81.7%, respectively (OR, 7.79; 95% CI, 5.33–11.40). The results demonstrated that the internal enhancement features of LNs may be used as a predictor of metastasis. The detailed benign characteristics, such as homogeneity, spotted, striped and core enhancement of LNs may facilitate the identification of LN- in patients with colorectal cancer.
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spelling pubmed-71149382020-04-08 Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer Miao, Shi-Song Lu, Yuan-Fei Chen, Hai-Yan Liu, Qing-Meng Chen, Jie-Yu Pan, Yao Yu, Ri-Sheng Oncol Lett Articles The aim of the present study was to identify a novel strategy that predicts the metastatic status of lymph nodes (LNs) in patients diagnosed with colorectal cancer, using detailed characteristics of contrast-enhanced CT scan images. A total of 284 preoperative CT scans derived from patients diagnosed with colorectal cancer at Second Affiliated Hospital, Zhejiang University School of Medicine between January 2013 and July 2018 were retrospectively reviewed. A total of 794 LNs were assessed for size, margins, morphology and subtle internal enhancements in the equilibrium phase. Imaging features were analyzed by two abdominal radiologists (Department of Radiology, Second Affiliated Hospital, Zhejiang University School of Medicine and Departments of Radiology; Shaoxing Second Hospital Departments of Radiology, Shaoxing Second Hospital) in a blind manner. If the conclusions were not concordant, the final score was determined by a senior radiologist who specialized in abdominal radiology for ≥30 years. According to the histopathology results, 27.3% (217/794) of LNs were metastatic (LN+). In addition, LNs >10 mm in size demonstrated sensitivity, specificity, positive predictive values (PPVs) and negative predictive values (NPVs) of 47.0, 80.9, 48.1 and 80.2%, respectively [odds ratio (OR), 3.77; 95% confidence interval (CI), 2.69–5.28]. LNs in the shape of a kidney bean (middle fat depression like kidney) and/or those with an oblong shape were more likely to be metastasis negative LNs (LN-), while lobulated and irregular LNs were more likely to be LN+. In magnified images, internal enhancement characteristics of LN- were defined as homogeneous, spotted, striped and core enhancing. By contrast, rim and heterogeneity enhancement features for LN+ demonstrated sensitivity, specificity, PPVs and NPVs of 46.5, 89.9, 63.5 and 81.7%, respectively (OR, 7.79; 95% CI, 5.33–11.40). The results demonstrated that the internal enhancement features of LNs may be used as a predictor of metastasis. The detailed benign characteristics, such as homogeneity, spotted, striped and core enhancement of LNs may facilitate the identification of LN- in patients with colorectal cancer. D.A. Spandidos 2020-05 2020-03-10 /pmc/articles/PMC7114938/ /pubmed/32269618 http://dx.doi.org/10.3892/ol.2020.11454 Text en Copyright: © Miao et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Miao, Shi-Song
Lu, Yuan-Fei
Chen, Hai-Yan
Liu, Qing-Meng
Chen, Jie-Yu
Pan, Yao
Yu, Ri-Sheng
Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer
title Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer
title_full Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer
title_fullStr Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer
title_full_unstemmed Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer
title_short Contrast-enhanced CT imaging for the assessment of lymph node status in patients with colorectal cancer
title_sort contrast-enhanced ct imaging for the assessment of lymph node status in patients with colorectal cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114938/
https://www.ncbi.nlm.nih.gov/pubmed/32269618
http://dx.doi.org/10.3892/ol.2020.11454
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