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Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas

Purpose: To identify novel radiological features and clinical characteristics to improve diagnostic criteria for early detection of small hepatocellular carcinoma (HCC). Patients and Methods: We retrospectively recruited asymptomatic patients with no history of HCC but a high risk of HCC in whom a n...

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Autores principales: Chiang, Ming-Feng, Tseng, Tse-Kai, Shih, Chia-Wen, Yang, Tzeng-Huey, Wu, Szu-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646160/
https://www.ncbi.nlm.nih.gov/pubmed/33193879
http://dx.doi.org/10.7150/jca.47245
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author Chiang, Ming-Feng
Tseng, Tse-Kai
Shih, Chia-Wen
Yang, Tzeng-Huey
Wu, Szu-Yuan
author_facet Chiang, Ming-Feng
Tseng, Tse-Kai
Shih, Chia-Wen
Yang, Tzeng-Huey
Wu, Szu-Yuan
author_sort Chiang, Ming-Feng
collection PubMed
description Purpose: To identify novel radiological features and clinical characteristics to improve diagnostic criteria for early detection of small hepatocellular carcinoma (HCC). Patients and Methods: We retrospectively recruited asymptomatic patients with no history of HCC but a high risk of HCC in whom a new, solitary, well-defined, solid nodule between 10 and 20 mm was detected through a screening ultrasound. We retrospectively collected all clinical data, and patients were examined using dynamic contrast-enhanced computed tomography or magnetic resonance imaging; subsequently, fine-needle biopsy was performed. A multivariate analysis of the predictors of small HCCs was performed by fitting a multiple logistic regression model with the stepwise variable selection method. Results: In total, 392 and 347 patients with a small liver nodule received a final pathologic confirmation of HCC and non-HCC, respectively. The estimated odds ratios and 95% confidence intervals of tumor size > 12.45 mm, age > 56.61 years, liver cirrhosis, hepatitis C virus (HCV) carrier status, ln alpha-fetoprotein (AFP) > 1.954, arterial phase enhancement, and portal or venous phase washout appearance without arterial phase enhancement were 2.0735 (1.4746-2.9155), 1.8878 (1.2949-2.7521), 1.6927 (1.1294-2.5369), 1.6186 (1.0347-2.5321), 2.0297 (1.3342-3.0876), 3.7451 (2.3845-5.8821), and 2.0327 (1.3500-3.0608), respectively. The area under the receiver operating characteristic curves for the diagnosis of small HCCs was 0.79 for arterial phase enhancement and 0.75 for portal or venous phase washout appearance without arterial phase enhancement. Conclusion: Clinical and contrast-enhanced image features are valuable in the prediction model for the detection and early diagnosis of small HCCs in patients with a high risk of HCC. In addition to negative portal or venous washout and negative arterial enhancement in images, age > 56.61 years, tumor size > 12.45 mm, HCV carrier status, and ln(AFP) > 1.954, are useful indicators for the early detection of small HCCs.
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spelling pubmed-76461602020-11-12 Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas Chiang, Ming-Feng Tseng, Tse-Kai Shih, Chia-Wen Yang, Tzeng-Huey Wu, Szu-Yuan J Cancer Research Paper Purpose: To identify novel radiological features and clinical characteristics to improve diagnostic criteria for early detection of small hepatocellular carcinoma (HCC). Patients and Methods: We retrospectively recruited asymptomatic patients with no history of HCC but a high risk of HCC in whom a new, solitary, well-defined, solid nodule between 10 and 20 mm was detected through a screening ultrasound. We retrospectively collected all clinical data, and patients were examined using dynamic contrast-enhanced computed tomography or magnetic resonance imaging; subsequently, fine-needle biopsy was performed. A multivariate analysis of the predictors of small HCCs was performed by fitting a multiple logistic regression model with the stepwise variable selection method. Results: In total, 392 and 347 patients with a small liver nodule received a final pathologic confirmation of HCC and non-HCC, respectively. The estimated odds ratios and 95% confidence intervals of tumor size > 12.45 mm, age > 56.61 years, liver cirrhosis, hepatitis C virus (HCV) carrier status, ln alpha-fetoprotein (AFP) > 1.954, arterial phase enhancement, and portal or venous phase washout appearance without arterial phase enhancement were 2.0735 (1.4746-2.9155), 1.8878 (1.2949-2.7521), 1.6927 (1.1294-2.5369), 1.6186 (1.0347-2.5321), 2.0297 (1.3342-3.0876), 3.7451 (2.3845-5.8821), and 2.0327 (1.3500-3.0608), respectively. The area under the receiver operating characteristic curves for the diagnosis of small HCCs was 0.79 for arterial phase enhancement and 0.75 for portal or venous phase washout appearance without arterial phase enhancement. Conclusion: Clinical and contrast-enhanced image features are valuable in the prediction model for the detection and early diagnosis of small HCCs in patients with a high risk of HCC. In addition to negative portal or venous washout and negative arterial enhancement in images, age > 56.61 years, tumor size > 12.45 mm, HCV carrier status, and ln(AFP) > 1.954, are useful indicators for the early detection of small HCCs. Ivyspring International Publisher 2020-10-18 /pmc/articles/PMC7646160/ /pubmed/33193879 http://dx.doi.org/10.7150/jca.47245 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Chiang, Ming-Feng
Tseng, Tse-Kai
Shih, Chia-Wen
Yang, Tzeng-Huey
Wu, Szu-Yuan
Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas
title Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas
title_full Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas
title_fullStr Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas
title_full_unstemmed Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas
title_short Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas
title_sort clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646160/
https://www.ncbi.nlm.nih.gov/pubmed/33193879
http://dx.doi.org/10.7150/jca.47245
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