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Abstract #5064

Quantitative parameters of bone marrow segmentation on WB-DWI in the prognostic staging of R-ISS II multiple myeloma

Junde Zhou1, Qin Wang1, Jiao Li1, Shuang Xia1, Haibo Zhang1, Jinxia Zhu2, Robert Grimm3, Alto Stemmer3, Huadan Xue1, and Zhengyu Jin1
1Peking Union Medical College Hospital, Beijing, China, 2MR Research Collaboration, Siemens Healthineers Ltd, Beijing, China, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany

Synopsis

Keywords: DWI/DTI/DKI, Diffusion/other diffusion imaging techniques

Motivation: Revised International Staging System stage II multiple myeloma (R-ISS II MM) patients have considerable prognostic heterogeneity.

Goal(s): Use quantitative parameters of bone marrow segmentation on whole-body diffusion-weighted imaging (WB-DWI) for risk stratification among R-ISS II MM patients.

Approach: Univariate and multivariate analyses of clinical features and quantitative parameters of bone marrow segmentation extracted from MR Total Tumor Load software were used to identify predictors of progression-free survival and overall survival (OS).

Results: On multivariate analysis, mean apparent diffusion coefficient (odds ratio=1.003, p=0.029, 95% confidence interval [95%CI]: 1.000-1.003) and albumin (odds ratio=0.942, p=0.051, 95%CI: 0.888-1.000) were independent predictors of OS.

Impact: Quantitative parameters of bone marrow segmentation on WB-DWI can predict OS in R-ISS II MM patients, suggesting that these parameters can facilitate prognostic assessment of R-ISS II MM patients.

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Keywords