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Abstract #3587

3D Histogram Analysis of Apparent Diffusion Coefficient Maps Predicts Relief of Fibroid Symptoms after MR Imaging–guided High-Intensity Focused Ultrasound Ablation

HAO FU1,2, Chenxia Li1, Rong Wang1, Jianxin Guo1, Bilgin Keserci3, and Jian Yang1

1Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, xi'an, China, People's Republic of, 2MR Marketing, Philips Healthcare, xi'an, China, People's Republic of, 3MR Therapy Clinical Science, Philips Healthcare, Seoul, Korea, Republic of

The aim of the study was to investigate the variation among screening fibroids through analysis of ADC histogram, in order to predict fibroids residual NPV proportion (residual NPV%=NPV at 6 months follow up/ NPV immediately after treatment ) and patients Symptom Severity Score (SSS). Thirty five patients who accepted MRgHIFU ablation were divided into group 1 (residual NPV%≥20%) of 19 patients and group 2 (residual NPV%<20%) of 16 patients, respectively. The SSS of patients were obtained at two time-point, screening and 6 months follow up. ADCmean, ADCq, kurtosis and skewness are derived from ADC histogram. The results showed that values of ADCmean, ADCq and kurtosis were significant difference between two groups. The average SSS reduction of group 1 between pre and post treatment was more obvious than that of group 2. Therefore, histogram analysis of ADC maps can provide the quantitative information to predict fibroids ablation outcome and patients symptom relief, which may be indicated as a useful screening tool to guide patients selection for MRgHIFU ablation.

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