Evidence map›Paper›PMID 42563268›Full record

ArticleMagnetic resonance in medicine2026

Free-Breathing Hepatic Oxygen Extraction Fraction (OEF) Mapping Using Radial GESSE.

Ke Zhang, Simon M F Triphan, Felix T Kurz, Congcong Fu, Na Zhang, Christian H Ziener, Mark E Ladd, Heinz-Peter Schlemmer, Hans-Ulrich Kauczor, Oliver Sedlaczek

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Article in Magnetic resonance in medicine, 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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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

10 authors.

Ke ZhangDepartment of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.ORCID https://orcid.org/0000-0002-7244-8483
Simon M F TriphanDepartment of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-2068-1184
Felix T KurzDivison of Radiology, German Cancer Research Center, Heidelberg, Germany.
Congcong FuDepartment of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
Na ZhangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0001-9510-4520
Christian H ZienerDivison of Radiology, German Cancer Research Center, Heidelberg, Germany.
Mark E LaddDivision of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.
Heinz-Peter SchlemmerDivison of Radiology, German Cancer Research Center, Heidelberg, Germany.
Hans-Ulrich KauczorDepartment of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
Oliver SedlaczekDepartment of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.

Funding

Guangdong Science and Technology Program 2025A0505020070SIAT International Joint Lab E6G107
6 · The paper itself

Abstract

purposeNoninvasive assessment of hepatic oxygenation is relevant for evaluating liver both in acute and long-term liver pathologies. However, existing methods are limited to single-slice acquisitions and require breath-holding. This study aims to develop and evaluate a motion-robust technique for whole-liver oxygen extraction fraction (OEF) mapping using a radial gradient-echo sampling of spin-echo (rGESSE) sequence in combination with an artificial neural network (ANN) for quantification.

methodsSeven healthy volunteers were scanned using a 1.5 T MRI system with an 18-channel body coil. A multi-slice rGESSE sequence with radial sampling was employed under free-breathing conditions to acquire volumetric liver data. Signal processing included bias-field correction and 3D median filtering. OEF, deoxygenated blood volume (DBV), and transverse relaxation rate (R

resultsWhole-liver OEF maps were successfully obtained in all volunteers under free-breathing. Representative parameter maps showed consistent spatial patterns and anatomical correspondence. The mean hepatic OEF across subjects was 55.75% ± 6.88%, and the mean DBV was 0.568 ± 0.039. Comparison with literature values suggested a systematic overestimation, likely arising from a combination of model approximations, residual B

conclusionThis study demonstrates the feasibility of using rGESSE combined with ANN analysis for free-breathing, whole-liver OEF mapping. The proposed approach allows for noninvasive, volumetric hepatic oxygenation assessment with improved motion robustness, offering potential for clinical application in liver disease diagnosis and monitoring.

Indexed as

Image Processing, Computer-AssistedLiverMagnetic Resonance ImagingOxygenAdultAlgorithmsFemaleHealthy VolunteersHumansMaleNeural Networks, ComputerReproducibility of ResultsRespirationOxygenartificial neural networkoxygen extraction fractionquantitative BOLDradial gradient‐echo sampling of spin‐echo

Identifiers

PMID42563268
PMCPMC13619852

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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.