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

Synopsis

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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