Fully automated spleen segmentation predicts progression-free survival in HCC patients following transarterial radioembolization.

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Title: Fully automated spleen segmentation predicts progression-free survival in HCC patients following transarterial radioembolization.
Authors: Steinhelfer L; Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Klinikum Rechts der Isar Ismaninger Str. 22, Munich, 81675, Germany. lisa.steinhelfer@tum.de.; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. lisa.steinhelfer@tum.de.; Department of Nuclear Medicine, Technical University of Munich, School of Medicine and Health, TUM University Hospital Munich, Munich, Germany. lisa.steinhelfer@tum.de., Jungmann F; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany., Endroes L; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Nickel M; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany., Schweizer N; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany., Ehmer U; TUM School of Medicine and Health - Clinical Department of Internal Medicine II, TUM University Hospital, Munich, Germany.; Bavarian Cancer Research Center (BZKF), Erlangen, Germany.; German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and School of Medicine, Technical University of Munich, Munich, Germany., Haller B; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany., Walter R; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany., Spaeth C; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany., Einwächter H; TUM School of Medicine and Health - Clinical Department of Internal Medicine II, TUM University Hospital, Munich, Germany., Bodden J; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Knorr K; Department of Nuclear Medicine, Technical University of Munich, School of Medicine and Health, TUM University Hospital Munich, Munich, Germany., Eiber M; Department of Nuclear Medicine, Technical University of Munich, School of Medicine and Health, TUM University Hospital Munich, Munich, Germany.; Bavarian Cancer Research Center (BZKF), Erlangen, Germany., Braren R; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.; German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and School of Medicine, Technical University of Munich, Munich, Germany.
Source: European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2026 May; Vol. 53 (6), pp. 3904-3914. Date of Electronic Publication: 2026 Feb 17.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Berlin Country of Publication: Germany NLM ID: 101140988 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1619-7089 (Electronic) Linking ISSN: 16197070 NLM ISO Abbreviation: Eur J Nucl Med Mol Imaging Subsets: MEDLINE
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  Data: Fully automated spleen segmentation predicts progression-free survival in HCC patients following transarterial radioembolization.
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  Data: <searchLink fieldCode="AU" term="%22Steinhelfer+L%22">Steinhelfer L</searchLink>; Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Klinikum Rechts der Isar Ismaninger Str. 22, Munich, 81675, Germany. lisa.steinhelfer@tum.de.; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. lisa.steinhelfer@tum.de.; Department of Nuclear Medicine, Technical University of Munich, School of Medicine and Health, TUM University Hospital Munich, Munich, Germany. lisa.steinhelfer@tum.de.<br /><searchLink fieldCode="AU" term="%22Jungmann+F%22">Jungmann F</searchLink>; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Endroes+L%22">Endroes L</searchLink>; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Nickel+M%22">Nickel M</searchLink>; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Schweizer+N%22">Schweizer N</searchLink>; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Ehmer+U%22">Ehmer U</searchLink>; TUM School of Medicine and Health - Clinical Department of Internal Medicine II, TUM University Hospital, Munich, Germany.; Bavarian Cancer Research Center (BZKF), Erlangen, Germany.; German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and School of Medicine, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Haller+B%22">Haller B</searchLink>; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Walter+R%22">Walter R</searchLink>; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Spaeth+C%22">Spaeth C</searchLink>; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Einwächter+H%22">Einwächter H</searchLink>; TUM School of Medicine and Health - Clinical Department of Internal Medicine II, TUM University Hospital, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Bodden+J%22">Bodden J</searchLink>; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.<br /><searchLink fieldCode="AU" term="%22Knorr+K%22">Knorr K</searchLink>; Department of Nuclear Medicine, Technical University of Munich, School of Medicine and Health, TUM University Hospital Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Eiber+M%22">Eiber M</searchLink>; Department of Nuclear Medicine, Technical University of Munich, School of Medicine and Health, TUM University Hospital Munich, Munich, Germany.; Bavarian Cancer Research Center (BZKF), Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22Braren+R%22">Braren R</searchLink>; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; Department of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.; German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and School of Medicine, Technical University of Munich, Munich, Germany.
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