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Added Value of Quantitative Apparent Diffusion Coefficients for Identifying Small Hepatocellular Carcinoma from Benign Nodule Categorized as LI-RADS 3 and 4 in Cirrhosis
BACKGROUND AND AIMS: Correct identification of small hepatocellular carcinomas (HCCs) and benign nodules in cirrhosis remains challenging, quantitative apparent diffusion coefficients (ADCs) have shown potential value in characterization of benign and malignant liver lesions. We aimed to explore the...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
XIA & HE Publishing Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845165/ https://www.ncbi.nlm.nih.gov/pubmed/35233371 http://dx.doi.org/10.14218/JCTH.2021.00053 |
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author | Zhong, Xi Tang, Hongsheng Guan, Tianpei Lu, Bingui Zhang, Chuangjia Tang, Danlei Li, Jiansheng Cui, Shuzhong |
author_facet | Zhong, Xi Tang, Hongsheng Guan, Tianpei Lu, Bingui Zhang, Chuangjia Tang, Danlei Li, Jiansheng Cui, Shuzhong |
author_sort | Zhong, Xi |
collection | PubMed |
description | BACKGROUND AND AIMS: Correct identification of small hepatocellular carcinomas (HCCs) and benign nodules in cirrhosis remains challenging, quantitative apparent diffusion coefficients (ADCs) have shown potential value in characterization of benign and malignant liver lesions. We aimed to explore the added value of ADCs in the identification of small (≤3 cm) HCCs and benign nodules categorized as Liver Imaging Reporting and Data System (LI-RADS) 3 (LR-3) and 4 (LR-4) in cirrhosis. METHODS: Ninety-seven cirrhosis patients with 109 small nodules (70 HCCs, 39 benign nodules) of LR-3 and 4 LR-4 based on major and ancillary magnetic resonance imaging features were included. Multiparametric quantitative ADCs of the lesions, including the mean ADC (ADC(mean)), minimum ADC (ADC(min)), maximal ADC (ADC(max)), ADC standard deviation (ADC(std)), and mean ADC value ratio of lesion-to-liver parenchyma (ADC(ratio)) were calculated. Regarding the joint diagnosis, a nomogram model was plotted using multivariate logistic regression analysis. The performance was assessed using the area under the receiver operating characteristic curve (AUC). RESULTS: The ADC(mean), ADC(min), ADC(ratio), and ADC(std) were significantly associated with the identification of small HCC and benign nodules (p<0.001). For the joint diagnosis, the LI-RADS category (odds ratio [OR]=12.50), ADC(min) (OR=0.14), and ADC(ratio) (OR=0.12) were identified as independent factors for distinguishing HCCs from benign nodules. The joint nomogram model showed good calibration and discrimination, with a C-index of 0.947. Compared with the LI-RADS category alone, this nomogram model demonstrated a significant improvement in diagnostic performance, with AUC increasing from 0.820 to 0.967 (p=0.001). CONCLUSIONS: The addition of quantitative ADCs could improve the identification of small HCC and benign nodules categorized as LR-3 and 4 LR-4 in patients with cirrhosis. |
format | Online Article Text |
id | pubmed-8845165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | XIA & HE Publishing Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88451652022-02-28 Added Value of Quantitative Apparent Diffusion Coefficients for Identifying Small Hepatocellular Carcinoma from Benign Nodule Categorized as LI-RADS 3 and 4 in Cirrhosis Zhong, Xi Tang, Hongsheng Guan, Tianpei Lu, Bingui Zhang, Chuangjia Tang, Danlei Li, Jiansheng Cui, Shuzhong J Clin Transl Hepatol Original Article BACKGROUND AND AIMS: Correct identification of small hepatocellular carcinomas (HCCs) and benign nodules in cirrhosis remains challenging, quantitative apparent diffusion coefficients (ADCs) have shown potential value in characterization of benign and malignant liver lesions. We aimed to explore the added value of ADCs in the identification of small (≤3 cm) HCCs and benign nodules categorized as Liver Imaging Reporting and Data System (LI-RADS) 3 (LR-3) and 4 (LR-4) in cirrhosis. METHODS: Ninety-seven cirrhosis patients with 109 small nodules (70 HCCs, 39 benign nodules) of LR-3 and 4 LR-4 based on major and ancillary magnetic resonance imaging features were included. Multiparametric quantitative ADCs of the lesions, including the mean ADC (ADC(mean)), minimum ADC (ADC(min)), maximal ADC (ADC(max)), ADC standard deviation (ADC(std)), and mean ADC value ratio of lesion-to-liver parenchyma (ADC(ratio)) were calculated. Regarding the joint diagnosis, a nomogram model was plotted using multivariate logistic regression analysis. The performance was assessed using the area under the receiver operating characteristic curve (AUC). RESULTS: The ADC(mean), ADC(min), ADC(ratio), and ADC(std) were significantly associated with the identification of small HCC and benign nodules (p<0.001). For the joint diagnosis, the LI-RADS category (odds ratio [OR]=12.50), ADC(min) (OR=0.14), and ADC(ratio) (OR=0.12) were identified as independent factors for distinguishing HCCs from benign nodules. The joint nomogram model showed good calibration and discrimination, with a C-index of 0.947. Compared with the LI-RADS category alone, this nomogram model demonstrated a significant improvement in diagnostic performance, with AUC increasing from 0.820 to 0.967 (p=0.001). CONCLUSIONS: The addition of quantitative ADCs could improve the identification of small HCC and benign nodules categorized as LR-3 and 4 LR-4 in patients with cirrhosis. XIA & HE Publishing Inc. 2022-02-28 2021-05-28 /pmc/articles/PMC8845165/ /pubmed/35233371 http://dx.doi.org/10.14218/JCTH.2021.00053 Text en © 2022 Authors. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Zhong, Xi Tang, Hongsheng Guan, Tianpei Lu, Bingui Zhang, Chuangjia Tang, Danlei Li, Jiansheng Cui, Shuzhong Added Value of Quantitative Apparent Diffusion Coefficients for Identifying Small Hepatocellular Carcinoma from Benign Nodule Categorized as LI-RADS 3 and 4 in Cirrhosis |
title | Added Value of Quantitative Apparent Diffusion Coefficients for Identifying Small Hepatocellular Carcinoma from Benign Nodule Categorized as LI-RADS 3 and 4 in Cirrhosis |
title_full | Added Value of Quantitative Apparent Diffusion Coefficients for Identifying Small Hepatocellular Carcinoma from Benign Nodule Categorized as LI-RADS 3 and 4 in Cirrhosis |
title_fullStr | Added Value of Quantitative Apparent Diffusion Coefficients for Identifying Small Hepatocellular Carcinoma from Benign Nodule Categorized as LI-RADS 3 and 4 in Cirrhosis |
title_full_unstemmed | Added Value of Quantitative Apparent Diffusion Coefficients for Identifying Small Hepatocellular Carcinoma from Benign Nodule Categorized as LI-RADS 3 and 4 in Cirrhosis |
title_short | Added Value of Quantitative Apparent Diffusion Coefficients for Identifying Small Hepatocellular Carcinoma from Benign Nodule Categorized as LI-RADS 3 and 4 in Cirrhosis |
title_sort | added value of quantitative apparent diffusion coefficients for identifying small hepatocellular carcinoma from benign nodule categorized as li-rads 3 and 4 in cirrhosis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845165/ https://www.ncbi.nlm.nih.gov/pubmed/35233371 http://dx.doi.org/10.14218/JCTH.2021.00053 |
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