Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer

Finding prognostic biomarkers with high accuracy in patients with pancreatic cancer (PC) remains a challenging problem. To improve the prediction of survival and to investigate the relevance of quantitative imaging biomarkers (QIB) we combined QIB with established clinical parameters. In this retros...

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Autores principales:	Leonie Gebauer, Jan H. Moltz, Alexander Mühlberg, Julian W. Holch, Thomas Huber, Johanna Enke, Nils Jäger, Michael Haas, Stephan Kruger, Stefan Boeck, Michael Sühling, Alexander Katzmann, Horst Hahn, Wolfgang G. Kunz, Volker Heinemann, Dominik Nörenberg, Stefan Maurus
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	computed tomography radiomics quantitative imaging biomarker whole liver tumor burden spatial analysis metastatic pancreatic cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/cd6bd218ec444ae08b5c40194c7e5b54
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spelling	oai:doaj.org-article:cd6bd218ec444ae08b5c40194c7e5b542021-11-25T17:03:22ZQuantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer10.3390/cancers132257322072-6694https://doaj.org/article/cd6bd218ec444ae08b5c40194c7e5b542021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5732https://doaj.org/toc/2072-6694Finding prognostic biomarkers with high accuracy in patients with pancreatic cancer (PC) remains a challenging problem. To improve the prediction of survival and to investigate the relevance of quantitative imaging biomarkers (QIB) we combined QIB with established clinical parameters. In this retrospective study a total of 75 patients with metastatic PC and liver metastases were analyzed. Segmentations of whole liver tumor burden (WLTB) from baseline contrast-enhanced CT images were used to derive QIBs. The benefits of QIBs in multivariable Cox models were analyzed in comparison with two clinical prognostic models from the literature. To discriminate survival, the two clinical models had concordance indices of 0.61 and 0.62 in a statistical setting. Combined clinical and imaging-based models achieved concordance indices of 0.74 and 0.70 with WLTB volume, tumor burden score (TBS), and bilobar disease being the three WLTB parameters that were kept by backward elimination. These combined clinical and imaging-based models have significantly higher predictive performance in discriminating survival than the underlying clinical models alone (<i>p</i> < 0.003). Radiomics and geometric WLTB analysis of patients with metastatic PC with liver metastases enhances the modeling of survival compared with models based on clinical parameters alone.Leonie GebauerJan H. MoltzAlexander MühlbergJulian W. HolchThomas HuberJohanna EnkeNils JägerMichael HaasStephan KrugerStefan BoeckMichael SühlingAlexander KatzmannHorst HahnWolfgang G. KunzVolker HeinemannDominik NörenbergStefan MaurusMDPI AGarticlecomputed tomographyradiomicsquantitative imaging biomarkerwhole liver tumor burdenspatial analysismetastatic pancreatic cancerNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5732, p 5732 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	computed tomography radiomics quantitative imaging biomarker whole liver tumor burden spatial analysis metastatic pancreatic cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	computed tomography radiomics quantitative imaging biomarker whole liver tumor burden spatial analysis metastatic pancreatic cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Leonie Gebauer Jan H. Moltz Alexander Mühlberg Julian W. Holch Thomas Huber Johanna Enke Nils Jäger Michael Haas Stephan Kruger Stefan Boeck Michael Sühling Alexander Katzmann Horst Hahn Wolfgang G. Kunz Volker Heinemann Dominik Nörenberg Stefan Maurus Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer
description	Finding prognostic biomarkers with high accuracy in patients with pancreatic cancer (PC) remains a challenging problem. To improve the prediction of survival and to investigate the relevance of quantitative imaging biomarkers (QIB) we combined QIB with established clinical parameters. In this retrospective study a total of 75 patients with metastatic PC and liver metastases were analyzed. Segmentations of whole liver tumor burden (WLTB) from baseline contrast-enhanced CT images were used to derive QIBs. The benefits of QIBs in multivariable Cox models were analyzed in comparison with two clinical prognostic models from the literature. To discriminate survival, the two clinical models had concordance indices of 0.61 and 0.62 in a statistical setting. Combined clinical and imaging-based models achieved concordance indices of 0.74 and 0.70 with WLTB volume, tumor burden score (TBS), and bilobar disease being the three WLTB parameters that were kept by backward elimination. These combined clinical and imaging-based models have significantly higher predictive performance in discriminating survival than the underlying clinical models alone (<i>p</i> < 0.003). Radiomics and geometric WLTB analysis of patients with metastatic PC with liver metastases enhances the modeling of survival compared with models based on clinical parameters alone.
format	article
author	Leonie Gebauer Jan H. Moltz Alexander Mühlberg Julian W. Holch Thomas Huber Johanna Enke Nils Jäger Michael Haas Stephan Kruger Stefan Boeck Michael Sühling Alexander Katzmann Horst Hahn Wolfgang G. Kunz Volker Heinemann Dominik Nörenberg Stefan Maurus
author_facet	Leonie Gebauer Jan H. Moltz Alexander Mühlberg Julian W. Holch Thomas Huber Johanna Enke Nils Jäger Michael Haas Stephan Kruger Stefan Boeck Michael Sühling Alexander Katzmann Horst Hahn Wolfgang G. Kunz Volker Heinemann Dominik Nörenberg Stefan Maurus
author_sort	Leonie Gebauer
title	Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer
title_short	Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer
title_full	Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer
title_fullStr	Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer
title_full_unstemmed	Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer
title_sort	quantitative imaging biomarkers of the whole liver tumor burden improve survival prediction in metastatic pancreatic cancer
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/cd6bd218ec444ae08b5c40194c7e5b54
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Quantitative Imaging Biomarkers of the Whole Liver Tumor Burden Improve Survival Prediction in Metastatic Pancreatic Cancer

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