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Abstract #0934

Radiomics Features of Hippocampal Regions in Conventional and Diffusion Tensor Imagings can Differentiate Temporal Lobe Epilepsy Patients

Yae Won Park1, Dongmin Choi2, Kyunghwa Han1, Sung Soo Ahn1, Hwiyoung Kim1, and Hyang Woon Lee3
1Yonsei University College of Medicine, Seoul, Republic of Korea, 2Department of Computer Science, Yonsei University, Seoul, Republic of Korea, 3Department of Neurology, Ewha Womans University College of Medicine, Seoul, Republic of Korea

A total of 92 subjects(66 TLE [35 right and 31 left] and 26 healthy controls) were allocated to training(n=66) and test(n=26) sets. Radiomics features (n=558) from the bilateral hippocampi were extracted from T1WI and DTI. Machine learning models were trained. Identical processes were performed to differentiate right TLE from HC and left TLE from HC. The radiomics model in test set showed better performance than hippocampal volume for identifying TLE (AUC 0.82 vs. AUC 0.62, P=0.08). Radiomics models of both subgroups showed better performance than those of hippocampal volume(AUC 0.76 vs. AUC 0.54 [P=0.12] and AUC 0.95 vs 0.68 [P=0.04]).

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