Associations between CT Radiomics Analyses and Hematopoietic Cell Mobilization in Patients with Multiple Myeloma: An Exploratory Analysis

CT radiomics features can predict apheresis yield in patients undergoing hematopoietic cell mobilization in patients with MM. Further analyses are needed to validate the identified radiomics signature in clinical routine and to test the predictive abilities.

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Publication Details

Journal
Transfusion Medicine and Hemotherapy
Published
2026-01-19
DOI
https://doi.org/10.1159/000549972
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Associations between CT Radiomics Analyses and Hematopoietic Cell Mobilization in Patients with Multiple Myeloma: An Exploratory Analysis

Klaus Hans Metzeler, Simone Heyn, Timm Denecke, Jakob Leonhardi et al.
Transfusion Medicine and Hemotherapy
Radiomics and Machine Learning in Medical Imaging
article

Associations between CT Radiomics Analyses and Hematopoietic Cell Mobilization in Patients with Multiple Myeloma: An Exploratory Analysis

Klaus Hans Metzeler, Simone Heyn, Timm Denecke, Jakob Leonhardi, Maximilian Merz, Mandy Brückner, Uwe Platzbecker, Vladan Vucinic, Madlen Jentzsch, Song-Yau Wang, Enrica Bach, Georg-Nikolaus Franke, Tihomir Dermenziev
article en

Abstract

CT radiomics features can predict apheresis yield in patients undergoing hematopoietic cell mobilization in patients with MM. Further analyses are needed to validate the identified radiomics signature in clinical routine and to test the predictive abilities.

Transfusion Medicine and Hemotherapy
University Hospital Leipzig (DE), Fraunhofer Institute for Cell Therapy and Immunology (DE)
Openalex Percentile: Top 85%
Radiomics and Machine Learning in Medical Imaging
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