Cargando…

Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma

PURPOSE: To identify disease-specific profiles comprising patient characteristics and imaging biomarkers on contrast-enhanced (CE)-computed tomography (CT) that enable the non-invasive prediction of the hepatopulmonary shunt fraction (HPSF) in patients with hepatocellular carcinoma (HCC) before resi...

Descripción completa

Detalles Bibliográficos
Autores principales: Hamm, Charlie Alexander, Busch, Felix, Pöhlmann, Anna, Shewarega, Annabella, He, Yubei, Schmidt, Robin, Xu, Han, Wieners, Gero, Gebauer, Bernhard, Savic, Lynn Jeanette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842483/
https://www.ncbi.nlm.nih.gov/pubmed/36660411
http://dx.doi.org/10.2147/JHC.S391537
_version_ 1784870136187977728
author Hamm, Charlie Alexander
Busch, Felix
Pöhlmann, Anna
Shewarega, Annabella
He, Yubei
Schmidt, Robin
Xu, Han
Wieners, Gero
Gebauer, Bernhard
Savic, Lynn Jeanette
author_facet Hamm, Charlie Alexander
Busch, Felix
Pöhlmann, Anna
Shewarega, Annabella
He, Yubei
Schmidt, Robin
Xu, Han
Wieners, Gero
Gebauer, Bernhard
Savic, Lynn Jeanette
author_sort Hamm, Charlie Alexander
collection PubMed
description PURPOSE: To identify disease-specific profiles comprising patient characteristics and imaging biomarkers on contrast-enhanced (CE)-computed tomography (CT) that enable the non-invasive prediction of the hepatopulmonary shunt fraction (HPSF) in patients with hepatocellular carcinoma (HCC) before resin-based transarterial radioembolization (TARE). PATIENTS AND METHODS: This institutional review board-approved (EA2/071/19) retrospective study included 56 patients with HCC recommended for TARE. All patients received tri-phasic CE-CT within 6 weeks prior to an angiographic TARE evaluation study using technetium-99m macroaggregated albumin. Imaging biomarkers representative of tumor extent, morphology, and perfusion, as well as disease-specific clinical parameters, were used to perform data-driven variable selection with backward elimination to generate multivariable linear regression models predictive of HPSF. Results were used to create clinically applicable risk scores for patients scheduled for TARE. Additionally, Cox regression was used to identify independent risk factors for poor overall survival (OS). RESULTS: Mean HPSF was 13.11% ± 7.6% (range: 2.8– 35.97%). Index tumor diameter (p = 0.014) or volume (p = 0.034) in combination with index tumor non-rim arterial phase enhancement (APHE) (p < 0.001) and washout (p < 0.001) were identified as significant non-invasive predictors of HPSF on CE-CT. Specifically, the prediction models revealed that the HPSF increased with index lesion diameter or volume and showed higher HPSF if non-rim APHE was present. In contrast, index tumor washout was associated with decreased HPSF levels. Independent risk factors of poorer OS were radiogenomic venous invasion and ascites at baseline. CONCLUSION: The featured prediction models can be used for the initial non-invasive estimation of HPSF in patients with HCC before TARE to assist in clinical treatment evaluation while potentially sparing ineligible patients from the angiographic shunt evaluation study.
format Online
Article
Text
id pubmed-9842483
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-98424832023-01-18 Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma Hamm, Charlie Alexander Busch, Felix Pöhlmann, Anna Shewarega, Annabella He, Yubei Schmidt, Robin Xu, Han Wieners, Gero Gebauer, Bernhard Savic, Lynn Jeanette J Hepatocell Carcinoma Original Research PURPOSE: To identify disease-specific profiles comprising patient characteristics and imaging biomarkers on contrast-enhanced (CE)-computed tomography (CT) that enable the non-invasive prediction of the hepatopulmonary shunt fraction (HPSF) in patients with hepatocellular carcinoma (HCC) before resin-based transarterial radioembolization (TARE). PATIENTS AND METHODS: This institutional review board-approved (EA2/071/19) retrospective study included 56 patients with HCC recommended for TARE. All patients received tri-phasic CE-CT within 6 weeks prior to an angiographic TARE evaluation study using technetium-99m macroaggregated albumin. Imaging biomarkers representative of tumor extent, morphology, and perfusion, as well as disease-specific clinical parameters, were used to perform data-driven variable selection with backward elimination to generate multivariable linear regression models predictive of HPSF. Results were used to create clinically applicable risk scores for patients scheduled for TARE. Additionally, Cox regression was used to identify independent risk factors for poor overall survival (OS). RESULTS: Mean HPSF was 13.11% ± 7.6% (range: 2.8– 35.97%). Index tumor diameter (p = 0.014) or volume (p = 0.034) in combination with index tumor non-rim arterial phase enhancement (APHE) (p < 0.001) and washout (p < 0.001) were identified as significant non-invasive predictors of HPSF on CE-CT. Specifically, the prediction models revealed that the HPSF increased with index lesion diameter or volume and showed higher HPSF if non-rim APHE was present. In contrast, index tumor washout was associated with decreased HPSF levels. Independent risk factors of poorer OS were radiogenomic venous invasion and ascites at baseline. CONCLUSION: The featured prediction models can be used for the initial non-invasive estimation of HPSF in patients with HCC before TARE to assist in clinical treatment evaluation while potentially sparing ineligible patients from the angiographic shunt evaluation study. Dove 2023-01-12 /pmc/articles/PMC9842483/ /pubmed/36660411 http://dx.doi.org/10.2147/JHC.S391537 Text en © 2023 Hamm et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Hamm, Charlie Alexander
Busch, Felix
Pöhlmann, Anna
Shewarega, Annabella
He, Yubei
Schmidt, Robin
Xu, Han
Wieners, Gero
Gebauer, Bernhard
Savic, Lynn Jeanette
Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma
title Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma
title_full Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma
title_fullStr Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma
title_full_unstemmed Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma
title_short Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma
title_sort non-invasive imaging biomarkers to predict the hepatopulmonary shunt fraction before transarterial radioembolization in patients with hepatocellular carcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842483/
https://www.ncbi.nlm.nih.gov/pubmed/36660411
http://dx.doi.org/10.2147/JHC.S391537
work_keys_str_mv AT hammcharliealexander noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT buschfelix noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT pohlmannanna noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT shewaregaannabella noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT heyubei noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT schmidtrobin noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT xuhan noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT wienersgero noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT gebauerbernhard noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma
AT saviclynnjeanette noninvasiveimagingbiomarkerstopredictthehepatopulmonaryshuntfractionbeforetransarterialradioembolizationinpatientswithhepatocellularcarcinoma