Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls
- 주제(기타) Multidisciplinary Sciences
- 설명문(일반) [Park, Yae Won; Han, Kyunghwa; Kim, Hwiyoung; Ahn, Sung Soo; Lee, Seung-Koo] Yonsei Univ, Dept Radiol, Coll Med, Seoul, South Korea; [Park, Yae Won; Han, Kyunghwa; Kim, Hwiyoung; Ahn, Sung Soo; Lee, Seung-Koo] Yonsei Univ, Res Inst Radiol Sci, Coll Med, Seoul, South Korea; [Park, Yae Won; Han, Kyunghwa; Kim, Hwiyoung; Ahn, Sung Soo; Lee, Seung-Koo] Yonsei Univ, Ctr Clin Imaging Data Sci, Coll Med, Seoul, South Korea; [Choi, Yun Seo; Kim, Song E.; Kim, Sol-Ah; Kim, Hyeon Jin; Lee, Hyang Woon] Ewha Womans Univ, Epilepsy & Sleep Ctr, Dept Neurol, Sch Med, 1071 Anyangcheon Ro, Seoul 07985, South Korea; [Choi, Yun Seo; Kim, Song E.; Kim, Sol-Ah; Kim, Hyeon Jin; Lee, Hyang Woon] Ewha Med Res Inst, 1071 Anyangcheon Ro, Seoul 07985, South Korea; [Choi, Yun Seo; Kim, Song E.; Kim, Sol-Ah; Kim, Hyeon Jin; Lee, Hyang Woon] Ewha Womans Univ, Dept Med Sci, Sch Med, Seoul, South Korea; [Kim, Sol-Ah; Lee, Hyang Woon] Ewha Womans Univ, Syst Hlth & Engn Major, Interdisciplinary Programs Computat Med, Grad Sch, Seoul, South Korea; [Choi, Dongmin] Yonsei Univ, Dept Comp Sci, Seoul, South Korea
- 등재 SCIE, SCOPUS
- OA유형 gold, Green Published
- 발행기관 NATURE RESEARCH
- 발행년도 2020
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000175136
- 본문언어 영어
- Published As http://dx.doi.org/10.1038/s41598-020-76283-z
- PubMed https://pubmed.ncbi.nlm.nih.gov/33177624
초록/요약
To investigative whether radiomics features in bilateral hippocampi from MRI can identify temporal lobe epilepsy (TLE). A total of 131 subjects with MRI (66 TLE patients [35 right and 31 left TLE] and 65 healthy controls [HC]) were allocated to training (n=90) and test (n=41) sets. Radiomics features (n=186) from the bilateral hippocampi were extracted from T1-weighted images. After feature selection, machine learning models were trained. The performance of the classifier was validated in the test set to differentiate TLE from HC and ipsilateral TLE from HC. Identical processes were performed to differentiate right TLE from HC (training set, n=69; test set; n=31) and left TLE from HC (training set, n=66; test set, n=30). The best-performing model for identifying TLE showed an AUC, accuracy, sensitivity, and specificity of 0.848, 84.8%, 76.2%, and 75.0% in the test set, respectively. The best-performing radiomics models for identifying right TLE and left TLE subgroups showed AUCs of 0.845 and 0.840 in the test set, respectively. In addition, multiple radiomics features significantly correlated with neuropsychological test scores (false discovery rate-corrected p-values<0.05). The radiomics model from hippocampus can be a potential biomarker for identifying TLE.
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