Revisiting oligodendroglioma grading in the 2021 WHO classification: calcification and larger contrast-enhancing tumor volume may predict higher oligodendroglioma grade.

Autor: Lee DY; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea., Choi KE; Department of Statistics and Data Science, Yonsei University, Seoul, Korea., Han K; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea., Choi SH; Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea., Lee N; Department of Nuclear Medicine, Catholic University of Korea Seoul St. Mary's Hospital, Seoul, Korea., Ahn SS; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea., Chang JH; Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea., Kim SH; Department of Pathology, Yonsei University College of Medicine, Seoul, Korea., Lee SK; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea., Park YW; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea. yaewonpark@yuhs.ac.

Publikováno v: Neuroradiology [Neuroradiology] 2024 Sep; Vol. 66 (9), pp. 1527-1535. Date of Electronic Publication: 2024 Jul 17.

Identification of schizophrenia by applying interpretable radiomics modeling with structural magnetic resonance imaging of the cerebellum.

Autor: Bang M; Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea., Park K; Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea., Choi SH; National Program Excellence in Software at Kwangwoon University, Seoul, Republic of Korea., Ahn SS; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim J; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea., Lee SK; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea., Park YW; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea., Lee SH; Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea.

Publikováno v: Psychiatry and clinical neurosciences [Psychiatry Clin Neurosci] 2024 Sep; Vol. 78 (9), pp. 527-535. Date of Electronic Publication: 2024 Jul 02.

Correction: Revisiting gliomatosis cerebri in adult-type diffuse gliomas: a comprehensive imaging, genomic and clinical analysis.

Autor: Shin I; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea., Park YW; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, College of Medicine, Yonsei University, 50 Yonsei-ro, Sedaemun-gu, Seoul, 03722, Republic of Korea. yaewonpark@yuhs.ac., Sim Y; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, College of Medicine, Yonsei University, 50 Yonsei-ro, Sedaemun-gu, Seoul, 03722, Republic of Korea., Choi SH; Department of Radiation Oncology, Yonsei University College of Medicine, 50 Yonsei-ro, Sedaemun-gu, Seoul, 03722, Republic of Korea., Ahn SS; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, College of Medicine, Yonsei University, 50 Yonsei-ro, Sedaemun-gu, Seoul, 03722, Republic of Korea., Chang JH; Department of Neurosurgery, Yonsei University College of Medicine, 50 Yonsei-ro, Sedaemun-gu, Seoul, 03722, Republic of Korea., Kim SH; Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Sedaemun-gu, Seoul, 03722, Republic of Korea., Lee SK; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, College of Medicine, Yonsei University, 50 Yonsei-ro, Sedaemun-gu, Seoul, 03722, Republic of Korea., Jain R; Department of Radiology, New York University Grossman School of Medicine, 550 1 Ave, New York, NY States, USA.; Department of Neurosurgery, New York University Grossman School of Medicine, 550 1 Ave, New York, NY States, USA.

Publikováno v: Acta neuropathologica communications [Acta Neuropathol Commun] 2024 Nov 06; Vol. 12 (1), pp. 173. Date of Electronic Publication: 2024 Nov 06.

Incorporating Supramaximal Resection into Survival Stratification of IDH-wildtype Glioblastoma: A Refined Multi-institutional Recursive Partitioning Analysis.

Autor: Park YW; Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea., Choi KS; Department of Radiology, Seoul National University Hospital, Seoul, Korea., Foltyn-Dumitru M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Brugnara G; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Banan R; Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany., Kim S; Department of Statistics and Data Science, Yonsei University, Seoul, Korea., Han K; Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea., Park JE; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, Korea., Kessler T; Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany.; Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany., Bendszus M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Krieg S; Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany., Wick W; Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany.; Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany., Sahm F; Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany.; Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany., Choi SH; Department of Radiology, Seoul National University Hospital, Seoul, Korea., Kim HS; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, Korea., Chang JH; Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea., Kim SH; Department of Pathology, Yonsei University College of Medicine, Seoul, Korea., Wongsawaeng D; Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.; Department of Radiology, Neuroradiology Section, Oregon Health & Science University, Portland, Oregon., Pollock JM; Department of Radiology, Neuroradiology Section, Oregon Health & Science University, Portland, Oregon., Lee SK; Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea., Barajas RF Jr; Department of Radiology, Neuroradiology Section, Oregon Health & Science University, Portland, Oregon.; Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon.; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon., Vollmuth P; Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.; Division for Computational Radiology and Clinical AI (CCIBonn.ai), Clinic for Neuroradiology, University Hospital Bonn, Bonn, Germany.; Medical Faculty Bonn, University of Bonn, Bonn, Germany., Ahn SS; Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea.

Publikováno v: Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2024 Nov 01; Vol. 30 (21), pp. 4866-4875.

MRI radiomics may predict early tumor recurrence in patients with sinonasal squamous cell carcinoma.

Autor: Park CJ; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Choi SH; Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim D; Graduate School of Artificial Intelligence, Pohang University of Science and Technology, Pohang, Republic of Korea., Kim SB; Undergraduate School of Biomedical Engineering, Korea University College of Health Science, Seoul, Republic of Korea., Han K; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea., Ahn SS; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea., Lee WH; Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea., Choi EC; Department of Otorhinolaryngology, Yongin Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Keum KC; Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim J; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea. jinna@yuhs.ac.

Publikováno v: European radiology [Eur Radiol] 2024 May; Vol. 34 (5), pp. 3151-3159. Date of Electronic Publication: 2023 Nov 06.