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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