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Abstract #0593

Prognosis of Focused Ultrasound Ablation Therapy Adenomyosis by Radiomics

Jing Zhang1, Zhicong Li2, Yang Song1, Han Wang2, Yefeng Yao1, and Guang Yang1
1Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, shanghai, China, 2Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, shanghai, China

Patients with adenomyosis can be treated using Magnetic Resonance Imaging (MRI)-guided Focused Ultrasound Surgery (MRgFUS). However, note all patients have a good response to MRgFUS, some even equire pain management such as with Non-Steroidal Anti-inflammatory Drugs (NSAIDs) following MRgFUS. To evaluate the prognosis of MRgFUS using only MRI images, we used radiomics features together with clinical features to build a machine learning model with our homemade open-source software, namely FeAture Explorer (FAE), based on scikit-learn. We obtained a candidate model with AUC of 0.806 in test cohort.

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