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Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features
BACKGROUND: We aimed to evaluate the value of using preoperative magnetic resonance imaging (MRI) features and clinical indicators to predict the early response of hepatocellular carcinoma (HCC) to transcatheter arterial chemoembolization (TACE). We also aimed to establish a preoperative prediction...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540694/ https://www.ncbi.nlm.nih.gov/pubmed/36207686 http://dx.doi.org/10.1186/s12880-022-00900-8 |
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author | Li, Zhi-Wei Ren, A-Hong Yang, Da-Wei Xu, Hui Wei, Jian Yuan, Chun-Wang Wang, Zhen-Chang Yang, Zheng-Han |
author_facet | Li, Zhi-Wei Ren, A-Hong Yang, Da-Wei Xu, Hui Wei, Jian Yuan, Chun-Wang Wang, Zhen-Chang Yang, Zheng-Han |
author_sort | Li, Zhi-Wei |
collection | PubMed |
description | BACKGROUND: We aimed to evaluate the value of using preoperative magnetic resonance imaging (MRI) features and clinical indicators to predict the early response of hepatocellular carcinoma (HCC) to transcatheter arterial chemoembolization (TACE). We also aimed to establish a preoperative prediction model. METHODS: We retrospectively reviewed data of 111 patients with HCC who underwent magnetic resonance imaging (MRI) before the first TACE and underwent MRI or computed tomography between 30 and 60 days after TACE. We used the modified response evaluation criteria in solid tumors for evaluating the TACE response. We used univariate and multivariate logistic regression analyses to identify independent predictors based on MRI features and clinical indicators. Moreover, receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of the prediction model and each independent predictor. RESULTS: Among the 111 included patients, 85 were men (76.6%). Patient age was 31–86 years (average age, 61.08 ± 11.50 years). After the first treatment session, 56/111 (50.5%) patients showed an objective response (complete response + partial response), whereas the remaining showed non-response (stable disease + local progressive disease). In the univariate analysis, we identified irregular margins, number of nodules, and satellite nodules as predictors of early objective response. However, in the multivariate logistic regression analysis, irregular margins, number of nodules and pretreatment platelet were identified as the independent predictors of early objective response. A combined prediction model was then established, which factored in irregular margins, the number of nodules, and the pretreatment platelet count. This model showed good diagnostic performance (area under the ROC curve = 0.755), with the sensitivity, specificity, positive predictive value, and negative predictive value being 78.6%, 69.1%, 72.1%, and 76.0%, respectively. CONCLUSIONS: Irregular margins, the number of nodules and the pretreatment platelet count are independent predictors of the early response of HCC to TACE. Our clinical combined model can provide a superior predictive power to a single indicator. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12880-022-00900-8. |
format | Online Article Text |
id | pubmed-9540694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95406942022-10-08 Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features Li, Zhi-Wei Ren, A-Hong Yang, Da-Wei Xu, Hui Wei, Jian Yuan, Chun-Wang Wang, Zhen-Chang Yang, Zheng-Han BMC Med Imaging Research BACKGROUND: We aimed to evaluate the value of using preoperative magnetic resonance imaging (MRI) features and clinical indicators to predict the early response of hepatocellular carcinoma (HCC) to transcatheter arterial chemoembolization (TACE). We also aimed to establish a preoperative prediction model. METHODS: We retrospectively reviewed data of 111 patients with HCC who underwent magnetic resonance imaging (MRI) before the first TACE and underwent MRI or computed tomography between 30 and 60 days after TACE. We used the modified response evaluation criteria in solid tumors for evaluating the TACE response. We used univariate and multivariate logistic regression analyses to identify independent predictors based on MRI features and clinical indicators. Moreover, receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of the prediction model and each independent predictor. RESULTS: Among the 111 included patients, 85 were men (76.6%). Patient age was 31–86 years (average age, 61.08 ± 11.50 years). After the first treatment session, 56/111 (50.5%) patients showed an objective response (complete response + partial response), whereas the remaining showed non-response (stable disease + local progressive disease). In the univariate analysis, we identified irregular margins, number of nodules, and satellite nodules as predictors of early objective response. However, in the multivariate logistic regression analysis, irregular margins, number of nodules and pretreatment platelet were identified as the independent predictors of early objective response. A combined prediction model was then established, which factored in irregular margins, the number of nodules, and the pretreatment platelet count. This model showed good diagnostic performance (area under the ROC curve = 0.755), with the sensitivity, specificity, positive predictive value, and negative predictive value being 78.6%, 69.1%, 72.1%, and 76.0%, respectively. CONCLUSIONS: Irregular margins, the number of nodules and the pretreatment platelet count are independent predictors of the early response of HCC to TACE. Our clinical combined model can provide a superior predictive power to a single indicator. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12880-022-00900-8. BioMed Central 2022-10-07 /pmc/articles/PMC9540694/ /pubmed/36207686 http://dx.doi.org/10.1186/s12880-022-00900-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Zhi-Wei Ren, A-Hong Yang, Da-Wei Xu, Hui Wei, Jian Yuan, Chun-Wang Wang, Zhen-Chang Yang, Zheng-Han Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
title | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
title_full | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
title_fullStr | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
title_full_unstemmed | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
title_short | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
title_sort | preoperatively predicting early response of hcc to tace using clinical indicators and mri features |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540694/ https://www.ncbi.nlm.nih.gov/pubmed/36207686 http://dx.doi.org/10.1186/s12880-022-00900-8 |
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