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Based on hematoma and perihematomal tissue NCCT imaging radiomics predicts early clinical outcome of conservatively treated spontaneous cerebral hemorrhage.
Song, Xuelin; Zhang, Hao; Han, Yuxuan; Lou, Shiyun; Zhao, Endong; Dong, Yang; Yang, Chao.
Afiliación
  • Song X; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
  • Zhang H; Department of Interventional Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Han Y; Department of Radiology, The Second Hospital of Dalian Medical University, Dalian, 116023, China.
  • Lou S; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
  • Zhao E; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
  • Dong Y; Department of Radiology, The Second Hospital of Dalian Medical University, Dalian, 116023, China.
  • Yang C; Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. dryangchao@163.com.
Sci Rep ; 14(1): 18546, 2024 08 09.
Article en En | MEDLINE | ID: mdl-39122887
ABSTRACT
Spontaneous intracerebral hemorrhage (ICH) is a very serious kind of stroke. If the outcome of patients can be accurately assessed at the early stage of disease occurrence, it will be of great significance to the patients and clinical treatment. The present study was conducted to investigate whether non-contrast computer tomography (NCCT) models of hematoma and perihematomal tissues could improve the accuracy of short-term prognosis prediction in ICH patients with conservative treatment. In this retrospective analysis, a total of 166 ICH patients with conservative treatment during hospitalization were included. Patients were randomized into a training group (N = 132) and a validation group (N = 34) in a ratio of 82, and the functional outcome at 90 days after clinical treatment was assessed by the modified Rankin Scale (mRS). Radiomic features of hematoma and perihematomal tissues of 5 mm, 10 mm, 15 mm were extracted from NCCT images. Clinical factors were analyzed by univariate and multivariate logistic regression to identify independent predictive factors. In the validation group, the mean area under the ROC curve (AUC) of the hematoma was 0.830, the AUC of the perihematomal tissue within 5 mm, 10 mm, 15 mm was 0.792, 0.826, 0.774, respectively, and the AUC of the combined model of hematoma and perihematomal tissue within 10 mm was 0.795. The clinical-radiomics nomogram consisting of five independent predictors and radiomics score (Rad-score) of the hematoma model were used to assess 90-day functional outcome in ICH patients with conservative treatment. Our findings found that the hematoma model had better discriminative efficacy in evaluating the early prognosis of conservatively managed ICH patients. The visual clinical-radiomics nomogram provided a more intuitive individualized risk assessment for 90-day functional outcome in ICH patients with conservative treatment. The hematoma could remain the primary therapeutic target for conservatively managed ICH patients, emphasizing the need for future clinical focus on the biological significance of the hematoma itself.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Hemorragia Cerebral / Hematoma Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Hemorragia Cerebral / Hematoma Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: China