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Abstract #4287

Whole-Body Tumor Load ADC Histogram Analysis for Therapy Response Prediction and Evaluation for Multiple Myeloma

Yuhan Gao1, Qin Wang1, Lu Zhang1, Shuang Xia2, Jinxia Zhu3, Rober Grimm4, Alto Stemmer4, Shuo Li1, Dong Liu1, Huadan Xue1, and Zhengyu Jin1
1Peking Union Medical College Hospital, Beijing, China, 2Tianjin First Central Hospital, Tianjin, China, 3Siemens Healthcare, Beijing, China, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany


This study aimed to explore the value of histogram analysis of apparent diffusion coefficient (ADC) maps for whole-body tumor load(WBTL) in predicting and evaluating the treatment response based on International Myeloma Working Group (IMWG) 2016 consensus criteria in patients with multiple myeloma (MM).Histogram analysis of ADC maps extracted eight parameters: mean, median, standard-deviation, entropy, skewness, kurtosis, ADC_5%, and ADC_95%. Seven parameters at baseline were significantly associated with therapy response. Three parameters in treatment percentage change were significantly associated with therapy response. ADC histogram analysis may be considered as an adjunct tool to the MM therapy response evaluation and prediction.

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