1.中山大学附属第五医院放射科,广东 珠海 519000
2.中山大学数学学院,广东 广州 510275
牛姗姗,硕士生,研究方向:放射诊断学,E-mail:niushsh@mail.sysu.edu.cn
收稿:2022-01-30,
纸质出版:2022-05-20
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牛姗姗,钟利平,宋腾飞等.低密度征和斑点征预测自发性脑出血早期血肿扩大[J].中山大学学报(医学科学版),2022,43(03):496-503.
NIU Shan-shan,ZHONG Li-ping,SONG Teng-fei,et al.Predictive Value of Hypodensities and Spot Sign for Hematoma Enlargement in Early Stage of Spontaneous Cerebral Hemorrhage[J].Journal of Sun Yat-sen University(Medical Sciences),2022,43(03):496-503.
牛姗姗,钟利平,宋腾飞等.低密度征和斑点征预测自发性脑出血早期血肿扩大[J].中山大学学报(医学科学版),2022,43(03):496-503. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2022.0318.
NIU Shan-shan,ZHONG Li-ping,SONG Teng-fei,et al.Predictive Value of Hypodensities and Spot Sign for Hematoma Enlargement in Early Stage of Spontaneous Cerebral Hemorrhage[J].Journal of Sun Yat-sen University(Medical Sciences),2022,43(03):496-503. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2022.0318.
目的
2
探讨自发性脑出血(ICH)患者CT平扫“低密度征”和CT血管造影(CTA)“斑点征”在预测急性期血肿扩大的应用价值。
方法
2
回顾性分析急性自发性脑出血患者232例,在232例急性ICH患者中,根据血肿体积是否扩大,分为血肿扩大组(62例),血肿无扩大组(170例)。发病24 h内行基线CT平扫和CTA扫描,并进行CT复查。分析所有患者临床资料及影像学资料,测量血肿体积并判断血肿体积是否扩大,通过单因素方差分析、二元Logistic回归分析及ROC曲线比较CT“低密度征”和CTA“斑点征”在预测血肿扩大的应用价值。
结果
2
单因素分析得到入院时GCS评分、首次CT检查时间、“斑点征”、“低密度征”在两组间差异有统计学意义(
P
值分别为0.003,0.012,<0.001,0.001);二元Logistic回归分析得到首次CT检查时间、“斑点征”及“低密度征”在两组间差异有统计学意义(
P
<0.05);“斑点征”“低密度征”“斑点征联合低密度征”的ROC曲线下面积分别为0.669,0.606,0.726,“斑点征”“低密度征”“斑点征联合低密度征”预测血肿扩大的敏感性、特异性分别是41.9%和91.8%、93.5%和27.6%、95.2%和27.6%。
结论
2
“斑点征”和“低密度征”都是预测急性期自发性脑出血患者血肿扩大的独立危险因素,“斑点征”的特异性高,“低密度征”的敏感性高,“斑点征联合低密度征”预测血肿扩大的敏感性优于单一征象。
Objective
2
To explore the application of hypodensities on computed tomography (CT) and the spot sign on CT angiography (CTA) in predicting hematoma expansion in patients with acute intracerebral hemorrhage.
Methods
2
A total of 232 patients with acute intracerebral hemorrhage were retrospectively analyzed. All the patients were divided into hematoma expansion group (62) and hematoma non-expansion group (170). All patients were examined with CT and CT angiography within 24 hours after onset to determine the volume,and reexamined with CT to determine whether hematoma expansion occurred. General clinical and imaging data of all patients were collected. Univariate survival analysis, Logistic regression analysis and ROC curve were carried out to compare the diagnostic value of hypodensities on CT and the spot sign on CTA in predicting hematoma expansion in patients with acute intracerebral hemorrhage.
Results
2
Univariate survival analysis showed the GCS score, initial CT time, spot sign and hypodensities were significantly different between the two groups (
P
values are 0.003, 0.012, <0.001, 0.001, respectively). Logistic regression analysis showed the initial CT time, spot sign and hypodensities were significantly different between the two groups (
P
<0.05). The area under ROC curve of spot sign, hypodensities, spot sign combined with hypodensities were respectively 0.669, 0.606, 0.726; The sensitivity and specificity of spot sign, hypodensities, spot sign combined with hypodensities were 41.9% and 91.8%, 93.5% and 27.6%, 95.2% and 27.6%, respectively.
Conclusions
2
The spot sign and hypodensities are independent risk factors for hematoma enlargement. The hypodensities shows a higher sensitivity, the spot sign shows a higher specificity, and the prediction ability of spot sign combined with hypodensities is better than that of alternatively single sign.
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