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基于 CT 图像预测高血压性脑出血扩大的研究进展：综述。

Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview.

机构信息

Department of Anesthesiology, Nanan District People's Hospital of Chongqing, Chongqing, China.

Department of Breast and Thyroid Surgery, Chongqing Bishan District Maternal and Child Health Care Hospital, Chongqing, China.

出版信息

PeerJ. 2024 Jun 7;12:e17556. doi: 10.7717/peerj.17556. eCollection 2024.

DOI:10.7717/peerj.17556
PMID:38860211
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11164062/
Abstract

Hematoma expansion (HE) is an important risk factor for death or poor prognosis in patients with hypertensive intracerebral hemorrhage (HICH). Accurately predicting the risk of HE in patients with HICH is of great clinical significance for timely intervention and improving patient prognosis. Many imaging signs reported in literatures showed the important clinical value for predicting HE. In recent years, the development of radiomics and artificial intelligence has provided new methods for HE prediction with high accuracy. Therefore, this article reviews the latest research progress in CT imaging, radiomics, and artificial intelligence of HE, in order to help identify high-risk patients for HE in clinical practice.

摘要

血肿扩大（HE）是高血压性脑出血（HICH）患者死亡或预后不良的重要危险因素。准确预测 HICH 患者发生 HE 的风险，对于及时干预和改善患者预后具有重要的临床意义。文献中报道的许多影像学征象均显示出对预测 HE 的重要临床价值。近年来，影像组学和人工智能的发展为 HE 预测提供了高精度的新方法。因此，本文综述了 HE 的 CT 影像学、影像组学和人工智能的最新研究进展，以期有助于在临床实践中识别出 HE 的高危患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c37f/11164062/c5bdc8c38d10/peerj-12-17556-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c37f/11164062/3f82b5f29f7d/peerj-12-17556-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c37f/11164062/615fa357fd53/peerj-12-17556-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c37f/11164062/551e00921acb/peerj-12-17556-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c37f/11164062/11a5a22eb34c/peerj-12-17556-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c37f/11164062/30c58ca296e7/peerj-12-17556-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c37f/11164062/c5bdc8c38d10/peerj-12-17556-g010.jpg

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