Evidence map›Paper›PMID 39934533›Full record

ArticleJournal of imaging informatics in medicine2025

Impact of MRI Texture Analysis on Complication Rate in MRI-Guided Liver Biopsies.

Jakob Leonhardi, Maike Niebur, Anne-Kathrin Höhn, Sebastian Ebel, Manuel Florian Struck, Hans-Michael Tautenhahn, Daniel Seehofer, Silke Zimmermann, Timm Denecke, Hans-Jonas Meyer

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Article in Journal of imaging informatics in medicine, 2025. 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.

Jakob LeonhardiDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Maike NieburDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Anne-Kathrin HöhnDepartment of Pathology, University Hospital Leipzig, Leipzig, Germany.
Sebastian EbelDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Manuel Florian StruckDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Leipzig, Leipzig, Germany.
Hans-Michael TautenhahnDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany.
Daniel SeehoferDepartment of Visceral, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany.
Silke ZimmermannInstitute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany.
Timm DeneckeDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Hans-Jonas MeyerDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Liebigstraße 20, 04103, Leipzig, Germany. Hans-jonas.meyer@medizin.uni-leipzig.de.ORCID http://orcid.org/0000-0001-8489-706X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI)-derived texture features are quantitative imaging parameters that may have valuable associations with clinical aspects. Their prognostic ability in patients undergoing percutaneous MRI-guided liver biopsy to identify associations with post-interventional bleeding complications and biopsy success rate has not been sufficiently investigated. The patient sample consisted 79 patients (32 females, 40.5%) with a mean age of 58.7 ± 12.4 years. Clinical parameters evaluated included comorbidities, pre-existing liver disease, known cancer diagnosis, and hemostaseological parameters. Several puncture-related parameters such as biopsy angle, distance of needle entry to capsule, and lesion were analyzed. MRI texture features of the target lesion were extracted from the planning sequence of the MRI-guided liver biopsy. Mann-Whitney U test and Fisher's exact test were used for group comparison; multivariate regression model was used for outcome prediction. Overall, the diagnostic outcome of biopsy was malignant in 38 cases (48.1%) and benign in 32 cases (40.5%). A total of 11 patients (13.9%) had post-interventional bleeding, while nine patients (11.4%) had a negative biopsy result. Several texture features were statistically significantly different between patients with and without hemorrhage. The texture feature GrVariance (1.37 ± 0.78 vs. 0.80 ± 0.35, p = 0.007) reached the highest statistical significance. Regarding unsuccessful biopsy results, S(1,1)DifEntrp (0.80 ± 0.10 vs. 0.89 ± 0.12, p = 0.022) and S(0,4)DifEntrp (1.14 ± 0.10 vs. 1.22 ± 0.11, p = 0.021) reached statistical significance between groups. Several MRI texture features of the target lesion were associated with bleeding complications or negative biopsy after MRI-guided percutaneous liver biopsy. This could be used to identify at-risk patients at the beginning of the procedure and should be further analyzed.

Indexed as

Image-Guided BiopsyLiverLiver NeoplasmsMagnetic Resonance ImagingAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesHemorrhageLiver biopsyMRIRadiomicsTexture analysis

Identifiers

PMID39934533
PMCPMC12701194

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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.