| Autor: |
Jie-hua Su, Ling-wei Meng, Di Dong, Wen-yan Zhuo, Jian-ming Wang, Li-bin Liu, Yi Qin, Ye Tian, Jie Tian, Zhao-hui Li |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-11 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2342 |
| DOI: |
10.1186/s12880-020-00470-7 |
| Popis: |
Abstract Background This study aimed to investigate integrating radiomics with clinical factors in cranial computed tomography (CT) to predict ischemic strokes in patients with silent lacunar infarction (SLI). Methods Radiomic features were extracted from baseline cranial CT images of patients with SLI. A least absolute shrinkage and selection operator (LASSO)–Cox regression analysis was used to select significant prognostic factors based on ModelC with clinical factors, ModelR with radiomic features, and ModelCR with both factors. The Kaplan–Meier method was used to compare stroke-free survival probabilities. A nomogram and a calibration curve were used for further evaluation. Results Radiomic signature (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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