Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview
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 im...
| Published in: | PeerJ |
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| Main Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2024-06-01
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| Online Access: | https://peerj.com/articles/17556.pdf |
| _version_ | 1850376372712636416 |
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| author | Min Ai Hanghang Zhang Junbang Feng Hongying Chen Di Liu Chang Li Fei Yu Chuanming Li |
| author_facet | Min Ai Hanghang Zhang Junbang Feng Hongying Chen Di Liu Chang Li Fei Yu Chuanming Li |
| author_sort | Min Ai |
| collection | DOAJ |
| container_title | PeerJ |
| description | 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. |
| format | Article |
| id | doaj-art-e9e807a126d34030860ec0e82fbb4c20 |
| institution | Directory of Open Access Journals |
| issn | 2167-8359 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| spelling | doaj-art-e9e807a126d34030860ec0e82fbb4c202025-08-19T22:59:13ZengPeerJ Inc.PeerJ2167-83592024-06-0112e1755610.7717/peerj.17556Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overviewMin Ai0Hanghang Zhang1Junbang Feng2Hongying Chen3Di Liu4Chang Li5Fei Yu6Chuanming Li7Department of Anesthesiology, Nanan District People’s Hospital of Chongqing, Chongqing, ChinaDepartment of Breast and Thyroid Surgery, Chongqing Bishan District Maternal and Child Health Care Hospital, Chongqing, ChinaMedical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, ChinaMedical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, ChinaDepartment of Anesthesiology, Nanan District People’s Hospital of Chongqing, Chongqing, ChinaMedical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, ChinaMedical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, ChinaMedical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, ChinaHematoma 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.https://peerj.com/articles/17556.pdfHypertensive intracerebral hemorrhageHematoma expansionImaging signsRadiomicsArtificial intelligence |
| spellingShingle | Min Ai Hanghang Zhang Junbang Feng Hongying Chen Di Liu Chang Li Fei Yu Chuanming Li Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview Hypertensive intracerebral hemorrhage Hematoma expansion Imaging signs Radiomics Artificial intelligence |
| title | Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview |
| title_full | Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview |
| title_fullStr | Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview |
| title_full_unstemmed | Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview |
| title_short | Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview |
| title_sort | research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on ct images an overview |
| topic | Hypertensive intracerebral hemorrhage Hematoma expansion Imaging signs Radiomics Artificial intelligence |
| url | https://peerj.com/articles/17556.pdf |
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