| 段淼,张开元,武春雪,李京凯,张越,王臣,张苗,卢洁.多模态MR一站式检查诊断颅内静脉血栓[J].中国医学影像技术,2025,41(12):1985~1989 |
| 多模态MR一站式检查诊断颅内静脉血栓 |
| One-stop multimodal MR examinations for diagnosing cerebral venous thrombosis |
| 投稿时间：2024-12-23 修订日期：2025-06-16 |
| DOI：10.13929/j.issn.1003-3289.2025.12.010 |
| 中文关键词: 颅内血栓形成 磁共振成像 回顾性研究 |
| 英文关键词:intracranial thrombosis magnetic resonance imaging retrospective studies |
| 基金项目:首都医科大学宣武医院"汇智"人才工程学者计划(HZ2021ZCLJ005)。 |
| 作者 | 单位 | E-mail | | 段淼 | 首都医科大学宣武医院放射与核医学科, 北京 100053
北京中医医院顺义医院放射科, 北京 101300 | | | 张开元 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 武春雪 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 李京凯 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 张越 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 王臣 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 张苗 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | zhangmiao_smile@163.com | | 卢洁 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | |
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| 中文摘要: |
| 目的 观察多模态MR一站式检查诊断颅内静脉血栓(CVT)的价值。方法 回顾性分析80例CVT的影像学资料,包括增强MRI(CE-MRI)、增强MR静脉成像(CE-MRV)及MR黑血血栓成像(MRBTI);评估并比较不同MRI技术的诊断效能。结果 CE-MRI显示37例存在脑实质改变,包括17例静脉性脑水肿、12例静脉性脑梗死及8例脑出血。观察者间诊断CVT的一致性较好(k=0.850~0.927,P均＜0.001)。MRBTI对皮层静脉血栓的检出率高于CE-MRV(χ2=11.182、P=0.001)。CE-MRI+CE-MRV+MRBTI对皮层静脉和全部节段血栓的检出率均高于CE-MRI+CE-MRV(P均＜0.05)。CE-MRI+CE-MRV诊断静脉节段CVT的敏感度为83.02%、特异度为94.19%、阳性预测值为92.12%、阴性预测值为87.12%;CE-MRI+CE-MRV+MRBTI分别为97.85%、98.98%、98.76%及98.23%;CE-MRI+CE-MRV+MRBTI对于静脉节段CVT的诊断效能(曲线下面积=0.980)优于CE-MRI+CE-MRV(曲线下面积=0.880,Z=4.159,P＜0.001)。结论 多模态MR一站式检查可有效诊断CVT。 |
| 英文摘要: |
| Objective To observe the value of one-stop multimodal MR examinations for diagnosing cerebral venous thrombosis (CVT). Methods Imaging data, including contrast-enhanced MRI (CE-MRI), contrast-enhanced MR venography (CE-MRV) and MR black-blood thrombus imaging (MRBTI)of 80 cases of CVT were retrospectively analyzed, and the diagnostic efficacy of different MRI techniques were evaluated and compared. Results CE-MRI revealed cerebral parenchymal changes in 37 cases, including 17 cases of venous cerebral edema, 12 cases of venous cerebral infarction and 8 cases of cerebral hemorrhage. The interobserver consistency for diagnosing CVT was good (k=0.850—0.927, all P＜0.001). The detection rate of cortical venous thrombosis of MRBTI was higher than that of CE-MRV (χ2=11.182, P=0.001). The detection rate of CE-MRI+CE-MRV+MRBTI for cortical venous and total segmental thrombosis were both higher than that of CE-MRI+CE-MRV (both P＜0.05). The sensitivity, specificity, positive predictive value and negative predictive value of CE-MRI+CE-MRV for diagnosing segmental CVT was 83.02%, 94.19%, 92.12% and 87.12%, respectively, of CE-MRI+CE-MRV+MRBTI was 97.85%, 98.98%, 98.76% and 98.23%, respectively. The diagnostic performance of CE-MRI+CE-MRV+MRBTI (area under the curve=0.980) was superior to that of CE-MRI+CE-MRV (area under the curve=0.880, Z=4.159, P＜0.001). Conclusion One-stop multimodal MR examinations could effectively diagnose CVT. |
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