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Development and validation of the nomogram model derived non-contrast CT score to predict hematoma expansion in patients with spontaneous intracerebral hemorrhage

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机构： [1]Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, China [2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, China [3]Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University, No.197 Ruijinerlu, Huangpu District, Shanghai, China [4]Neuroradiology Department, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No.119 Nansihuanxilu, Fengtai District, Beijing, China

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Develop and validate new non-contrast computed tomography (NCCT) score to predict hematoma expansion (HE) in spontaneous intracerebral hemorrhage (SICH) patients based on hematoma's shape irregularity and density heterogeneity.Retrospective study was conducted among 136 patients for development and 90 patients for validation at two separate hospitals. SICH patients with NCCT scanned within 6 hours of symptoms and follow-up NCCT scanned within 24 hours were enrolled. Black hole sign and blend sign were integrated as combined heterogeneity; likewise, satellite sign and island sign were integrated as combined irregularity. Binary logistic regression analysis screened the covariates associated with HE. Nomogram was generated using the predicted value of binary logistic regression model to derive NCCT score to predict HE.A total of 65 patients had HE in developmental cohort, where history of hypertension [odds ratio (OR) 2.56; 95% CI 1.169-5.607; P=0.019], initial NCCT time ≤ 3 hours (OR 2.50; 95% CI 1.169-5.327; P=0.018), combined heterogeneity (OR 2.50; 95% CI 1.160-5.365; P=0.019), and combined irregularity (OR 2.63; 95% CI 1.164-5.942; P=0.020) were independently associated with HE. A score was derived and a single point was allocated to each independently associated variable. HE was observed in 35 patients in validation cohort, which showed a proportional increase in the probability of HE with an increase in score accumulated.New four-point NCCT score to predict HE was developed and validated, which may be regarded as fair predictive score where advance facilities are rarely available.Copyright © 2024. Published by Elsevier Ltd.

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最新[2023]版：

大类 | 3 区医学

小类 | 3 区核医学

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出版当年[2023]版：

Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

最新[2023]版：

Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 2.1 最新[2023版] 2.2 最新五年平均 2.1 出版当年[2023版] 2.2 出版当年五年平均 2.6 出版前一年[2022版]

第一作者：

第一作者机构： [1]Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, China [2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, China

通讯作者：

通讯机构： [1]Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, China [2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, China

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