Evidence map›Paper›PMID 41699276›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

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

Lisa Steinhelfer, Friederike Jungmann, Lukas Endroes, Manuel Nickel, Noemi Schweizer, Ursula Ehmer, Bernhard Haller, Robert Walter, Christopher Spaeth, Henrik Einwächter and 4 more

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Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Lisa SteinhelferDepartment 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.ORCID 0000-0003-2452-4389
Friederike JungmannDepartment of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.
Lukas EndroesDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Manuel NickelChair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany.
Noemi SchweizerDepartment of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.
Ursula EhmerTUM School of Medicine and Health - Clinical Department of Internal Medicine II, TUM University Hospital, Munich, Germany.
Bernhard HallerChair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany.
Robert WalterDepartment of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.
Christopher SpaethDepartment of Radiology, Technical University of Munich, School of Medicine and Health, TUM University Hospital, Munich, Germany.
Henrik EinwächterTUM School of Medicine and Health - Clinical Department of Internal Medicine II, TUM University Hospital, Munich, Germany.
Jannis BoddenDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Karina KnorrDepartment of Nuclear Medicine, Technical University of Munich, School of Medicine and Health, TUM University Hospital Munich, Munich, Germany.
Matthias EiberDepartment of Nuclear Medicine, Technical University of Munich, School of Medicine and Health, TUM University Hospital Munich, Munich, Germany.
Rickmer BrarenDepartment of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTransarterial radioembolization (TARE) is a well-established treatment for unresectable hepatocellular carcinoma (HCC), though its effects on non-tumorous tissue remain a concern. In particular, the prognostic relevance of splenic volume changes after TARE is not fully understood. This study aimed to assess imaging-derived markers-specifically splenic volume dynamics-as predictors of disease progression.

methodsWe retrospectively analyzed laboratory and imaging data from 73 patients with histologically or imaging-confirmed HCC who underwent TARE with Yttrium-90 (

resultsA relative increase in splenic volume at 3 months was the only independent predictor of progression-free survival (PFS), yielding a ROC-AUC of 0.86 (95%-CI: 0.76-0.95). An increase of 18% or more most accurately identified patients with early disease progression (< 12 months) with a sensitivity 0.74 and specificity 0.97, outperforming conventional clinical and laboratory parameters, including two-dimensional craniocaudal spleen measurements.

conclusionsAutomated splenic volumetry showed superior prognostic value over traditional markers in HCC patients treated with TARE. A post-treatment increase in spleen volume represents an additional, robust, and readily accessible imaging biomarker for early risk stratification and individualized treatment planning.

Indexed as

Carcinoma, HepatocellularImage Processing, Computer-AssistedLiver NeoplasmsRadioembolization, TherapeuticSpleenAgedAutomationFemaleHumansMaleMiddle AgedPrognosisProgression-Free SurvivalRetrospective StudiesAI-based volumetryHCCImaging biomarkerSpleen volumeTARE

Identifiers

PMID41699276
PMCPMC13121415

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.