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Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization

BACKGROUND: Portal vein embolization (PVE) is used to induce remnant liver hypertrophy prior to major hepatectomy. The purpose of this study was to evaluate the predictive value of baseline computed tomography (CT) data for future remnant liver (FRL) hypertrophy after PVE. METHODS: In this retrospec...

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Autores principales: Gerwing, Mirjam, Schindler, Philipp, Katou, Shadi, Köhler, Michael, Stamm, Anna Christina, Schmidt, Vanessa Franziska, Heindel, Walter, Struecker, Benjamin, Morgul, Haluk, Pascher, Andreas, Wildgruber, Moritz, Masthoff, Max
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625940/
https://www.ncbi.nlm.nih.gov/pubmed/37670120
http://dx.doi.org/10.1245/s10434-023-14241-5
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author Gerwing, Mirjam
Schindler, Philipp
Katou, Shadi
Köhler, Michael
Stamm, Anna Christina
Schmidt, Vanessa Franziska
Heindel, Walter
Struecker, Benjamin
Morgul, Haluk
Pascher, Andreas
Wildgruber, Moritz
Masthoff, Max
author_facet Gerwing, Mirjam
Schindler, Philipp
Katou, Shadi
Köhler, Michael
Stamm, Anna Christina
Schmidt, Vanessa Franziska
Heindel, Walter
Struecker, Benjamin
Morgul, Haluk
Pascher, Andreas
Wildgruber, Moritz
Masthoff, Max
author_sort Gerwing, Mirjam
collection PubMed
description BACKGROUND: Portal vein embolization (PVE) is used to induce remnant liver hypertrophy prior to major hepatectomy. The purpose of this study was to evaluate the predictive value of baseline computed tomography (CT) data for future remnant liver (FRL) hypertrophy after PVE. METHODS: In this retrospective study, all consecutive patients undergoing right-sided PVE with or without hepatic vein embolization between 2018 and 2021 were included. CT volumetry was performed before and after PVE to assess standardized FRL volume (sFRLV). Radiomic features were extracted from baseline CT after segmenting liver (without tumor), spleen and bone marrow. For selecting features that allow classification of response (hypertrophy ≥ 1.33), a stepwise dimension reduction was performed. Logistic regression models were fitted and selected features were tested for their predictive value. Decision curve analysis was performed on the test dataset. RESULTS: A total of 53 patients with liver tumor were included in this study. sFRLV increased significantly after PVE, with a mean hypertrophy of FRL of 1.5 ± 0.3-fold. sFRLV hypertrophy ≥ 1.33 was reached in 35 (66%) patients. Three independent radiomic features, i.e. liver-, spleen- and bone marrow-associated, differentiated well between responders and non-responders. A logistic regression model revealed the highest accuracy (area under the curve 0.875) for the prediction of response, with sensitivity of 1.0 and specificity of 0.5. Decision curve analysis revealed a positive net benefit when applying the model. CONCLUSIONS: This proof-of-concept study provides first evidence of a potential predictive value of baseline multi-organ radiomics CT data for FRL hypertrophy after PVE. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-023-14241-5.
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spelling pubmed-106259402023-11-07 Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization Gerwing, Mirjam Schindler, Philipp Katou, Shadi Köhler, Michael Stamm, Anna Christina Schmidt, Vanessa Franziska Heindel, Walter Struecker, Benjamin Morgul, Haluk Pascher, Andreas Wildgruber, Moritz Masthoff, Max Ann Surg Oncol Hepatobiliary Tumors BACKGROUND: Portal vein embolization (PVE) is used to induce remnant liver hypertrophy prior to major hepatectomy. The purpose of this study was to evaluate the predictive value of baseline computed tomography (CT) data for future remnant liver (FRL) hypertrophy after PVE. METHODS: In this retrospective study, all consecutive patients undergoing right-sided PVE with or without hepatic vein embolization between 2018 and 2021 were included. CT volumetry was performed before and after PVE to assess standardized FRL volume (sFRLV). Radiomic features were extracted from baseline CT after segmenting liver (without tumor), spleen and bone marrow. For selecting features that allow classification of response (hypertrophy ≥ 1.33), a stepwise dimension reduction was performed. Logistic regression models were fitted and selected features were tested for their predictive value. Decision curve analysis was performed on the test dataset. RESULTS: A total of 53 patients with liver tumor were included in this study. sFRLV increased significantly after PVE, with a mean hypertrophy of FRL of 1.5 ± 0.3-fold. sFRLV hypertrophy ≥ 1.33 was reached in 35 (66%) patients. Three independent radiomic features, i.e. liver-, spleen- and bone marrow-associated, differentiated well between responders and non-responders. A logistic regression model revealed the highest accuracy (area under the curve 0.875) for the prediction of response, with sensitivity of 1.0 and specificity of 0.5. Decision curve analysis revealed a positive net benefit when applying the model. CONCLUSIONS: This proof-of-concept study provides first evidence of a potential predictive value of baseline multi-organ radiomics CT data for FRL hypertrophy after PVE. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-023-14241-5. Springer International Publishing 2023-09-05 2023 /pmc/articles/PMC10625940/ /pubmed/37670120 http://dx.doi.org/10.1245/s10434-023-14241-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Hepatobiliary Tumors
Gerwing, Mirjam
Schindler, Philipp
Katou, Shadi
Köhler, Michael
Stamm, Anna Christina
Schmidt, Vanessa Franziska
Heindel, Walter
Struecker, Benjamin
Morgul, Haluk
Pascher, Andreas
Wildgruber, Moritz
Masthoff, Max
Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization
title Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization
title_full Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization
title_fullStr Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization
title_full_unstemmed Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization
title_short Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization
title_sort multi-organ radiomics-based prediction of future remnant liver hypertrophy following portal vein embolization
topic Hepatobiliary Tumors
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625940/
https://www.ncbi.nlm.nih.gov/pubmed/37670120
http://dx.doi.org/10.1245/s10434-023-14241-5
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