@inproceedings{eeeecfc2bb8d434abdaf356f10ec7c09,
title = "Radiomics-based Prediction of Re-hemorrhage in Cerebral Cavernous Malformation after Gamma Knife Radiosurgery",
abstract = "We conducted a retrospective study of long-term follow-ups in patients with cerebral cavernous malformation (CCM) treated by Gamma Knife radiosurgery (GKRS). CCM is one of the common cerebral vascular diseases. Hemorrhage is a common and dangerous symptom of CCMs, and re-hemorrhage may still occur in 30% of patients after the treatment of GKRS. We aim to identify the reliable imaging biomarkers using radiomics of magnetic resonance images (MRI) to predict the re-hemorrhage after GKRS.Clinical Relevance - This study reported the longitudinal changes of MRI radiomic features in CCM after GKRS. Combining machine-learning approach with the longitudinal radiomic features can predict the re-hemorrhage of CCM after GKRS to guide the clinical management.",
author = "Kuo, {Pei Hsuan} and Lee, {Cheng Chia} and Lu, {Chia Feng}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 ; Conference date: 01-11-2021 Through 05-11-2021",
year = "2021",
doi = "10.1109/EMBC46164.2021.9629762",
language = "English",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3668--3671",
booktitle = "43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021",
address = "美國",
}