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Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study

Disseminated bone marrow (BM) involvement is frequent in multiple myeloma (MM). Whole-body magnetic resonance imaging (wb-MRI) enables to evaluate the whole BM. Reading of such whole-body scans is time-consuming, and yet radiologists can transfer only a small fraction of the information of the imagi...

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Main Authors: Wennmann, Markus (Author) , Klein, André (Author) , Bauer, Fabian (Author) , Chmelik, Jiri (Author) , Grözinger, Martin (Author) , Uhlenbrock, Charlotte (Author) , Lochner, Jakob (Author) , Nonnenmacher, Tobias (Author) , Rotkopf, Lukas Thomas (Author) , Sauer, Sandra (Author) , Hielscher, Thomas (Author) , Götz, Michael (Author) , Floca, Ralf (Author) , Neher, Peter (Author) , Bonekamp, David (Author) , Hillengaß, Jens (Author) , Kleesiek, Jens Philipp (Author) , Weinhold, Niels (Author) , Weber, Tim (Author) , Goldschmidt, Hartmut (Author) , Delorme, Stefan (Author) , Maier-Hein, Klaus H. (Author) , Schlemmer, Heinz-Peter (Author)
Format: Article (Journal)
Language:English
Published: November 2022
In: Investigative radiology
Year: 2022, Volume: 57, Issue: 11, Pages: 752-763
ISSN:1536-0210
DOI:10.1097/RLI.0000000000000891
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1097/RLI.0000000000000891
Verlag, lizenzpflichtig, Volltext: https://journals.lww.com/investigativeradiology/Abstract/2022/11000/Combining_Deep_Learning_and_Radiomics_for.6.aspx
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Author Notes:Markus Wennmann, André Klein, Fabian Bauer, Jiri Chmelik, Martin Grözinger, Charlotte Uhlenbrock, Jakob Lochner, Tobias Nonnenmacher, Lukas Thomas Rotkopf, Sandra Sauer, Thomas Hielscher, Michael Götz, Ralf Omar Floca, Peter Neher, David Bonekamp, Jens Hillengass, Jens Kleesiek, Niels Weinhold, Tim Frederik Weber, Hartmut Goldschmidt, Stefan Delorme, Klaus Maier-Hein, Heinz-Peter Schlemmer
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Summary:Disseminated bone marrow (BM) involvement is frequent in multiple myeloma (MM). Whole-body magnetic resonance imaging (wb-MRI) enables to evaluate the whole BM. Reading of such whole-body scans is time-consuming, and yet radiologists can transfer only a small fraction of the information of the imaging data set to the report. This limits the influence that imaging can have on clinical decision-making and in research toward precision oncology. The objective of this feasibility study was to implement a concept for automatic, comprehensive characterization of the BM from wb-MRI, by automatic BM segmentation and subsequent radiomics analysis of 30 different BM spaces (BMS).
Item Description:Gesehen am 03.01.2023
Physical Description:Online Resource
ISSN:1536-0210
DOI:10.1097/RLI.0000000000000891

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