Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma

•Imaging data can be automatically leveraged using computational models.•We validate key assumptions of previous models for Multiple Myeloma.•We provide new insight in the basic understanding of the progression of the disease.•Model-based biomarkers are better predictors of future evolution than sta...

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Veröffentlicht in:	Medical image analysis 2019-10, Vol.57, p.214-225
Hauptverfasser:	Piraud, Marie, Wennmann, Markus, Kintzelé, Laurent, Hillengass, Jens, Keller, Ulrich, Langs, Georg, Weber, Marc-André, Menze, Björn H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayes Theorem Bayesian analysis Biological evolution Biological models (mathematics) Biomarkers Biomarkers, Tumor - analysis Clinical decision making Correlation analysis Data acquisition Decision making Disease Progression Female Humans Image acquisition Image analysis Image Interpretation, Computer-Assisted - methods Image processing Lesions Longitudinal Studies Magnetic Resonance Imaging - methods Male Mathematical models Medical imaging Metastases Models, Theoretical Multiple myeloma Multiple Myeloma - diagnostic imaging Multiple Myeloma - pathology Neoplasm Staging Parametric statistics Precision medicine Risk Assessment Smoldering Statistical analysis Tumor Burden Tumors Whole Body Imaging
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