Volumetric T2-weighted MRI improves the diagnostic accuracy of spinal vascular malformations: comparative analysis with a conventional MR study

医学 放射科 磁共振成像
作者
Santhosh Kumar Kannath,Adhithyan Rajendran,Bejoy Thomas,Jayadevan Enakshy Rajan
出处
期刊:Journal of NeuroInterventional Surgery [BMJ]
卷期号:11 (10): 1019-1023 被引量:7
标识
DOI:10.1136/neurintsurg-2018-014522
摘要

To date, very little study of the importance of a volumetric T2-weighted MR sequence in the evaluation of spinal vascular malformations (SVMs) has been carried out.To determine the utility and accuracy of a volumetric T2 MR sequence compared with conventional T2 in the diagnosis of SVMs.Retrospective analysis of all patients who underwent spinal DSA for suspected SVMs was conducted. Conventional T2 and volumetric T2 MR images were analysed for the presence of flow voids and parenchymal changes, and SVMs were characterized. The sensitivity, specificity, and overall diagnostic accuracy of these MRI diagnoses were calculated.Of 89 subjects included in the final analysis, 70 patients had angiographically proved SVMs (38 patients with spinal cord arteriovenous malformations [SCAVM-intramedullary or perimedullary] and 32 cases of spinal dural arteriovenous fistula (SDAVF)) and the remaining 19 subjects were normal. The sensitivity and specificity for identification of SVMs were 98.1% and 90% for volumetric T2 sequences, compared with 82.8% and 89.4% for conventional T2 MRI, respectively. For characterization of spinal vascular lesions, volumetric MRI showed high sensitivity, specificity, and accuracy for SDAVF (100%, 90%, 97%, respectively) compared with conventional T2 MRI (71.8%, 89%, 79%, respectively). The positive likelihood ratio was high and negative likelihood ratio was zero for volumetric MRI evaluation of SDAVF, while these ratios were comparable between the two sequences for SCAVM.Volumetric T2 MRI is highly sensitive for the detection of SVMs, especially for SDAVF. Volumetric T2 MRI could be introduced into routine clinical practice in the screening of suspected SVMs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
NexusExplorer应助21采纳,获得10
1秒前
宇月幸成发布了新的文献求助10
2秒前
MXNCVDN发布了新的文献求助10
2秒前
CCC发布了新的文献求助10
3秒前
3秒前
哼哼发布了新的文献求助10
3秒前
科目三应助加菲丰丰采纳,获得10
3秒前
4秒前
老吴完成签到,获得积分10
4秒前
4秒前
wwww完成签到,获得积分10
4秒前
我是老大应助科研通管家采纳,获得10
4秒前
wjx发布了新的文献求助30
4秒前
乐乐应助科研通管家采纳,获得10
4秒前
Owen应助科研通管家采纳,获得10
5秒前
上官若男应助科研通管家采纳,获得10
5秒前
pluto应助科研通管家采纳,获得10
5秒前
在水一方应助科研通管家采纳,获得10
5秒前
Owen应助科研通管家采纳,获得10
5秒前
pluto应助科研通管家采纳,获得10
5秒前
共享精神应助科研通管家采纳,获得10
5秒前
Phosphene应助科研通管家采纳,获得10
5秒前
在水一方应助科研通管家采纳,获得10
5秒前
慕青应助科研通管家采纳,获得10
5秒前
李健应助科研通管家采纳,获得10
5秒前
pluto应助科研通管家采纳,获得10
5秒前
科研通AI2S应助科研通管家采纳,获得10
5秒前
CodeCraft应助科研通管家采纳,获得10
5秒前
桐桐应助科研通管家采纳,获得10
5秒前
酷波er应助夏日星采纳,获得10
6秒前
7秒前
玖颜完成签到 ,获得积分10
8秒前
小刘发布了新的文献求助10
8秒前
顾矜应助轻松的盼兰采纳,获得10
8秒前
12秒前
篮乐艺完成签到 ,获得积分10
12秒前
信德维拉发布了新的文献求助10
12秒前
李爱国应助瞿冷之采纳,获得10
13秒前
不安青牛应助mayanyu采纳,获得10
13秒前
高分求助中
Handbook of Fuel Cells, 6 Volume Set 1666
求助这个网站里的问题集 1000
Floxuridine; Third Edition 1000
Tracking and Data Fusion: A Handbook of Algorithms 1000
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 800
Neuromorphic Circuits for Nanoscale Devices 501
消化器内視鏡関連の偶発症に関する第7回全国調査報告2019〜2021年までの3年間 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 冶金 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2862748
求助须知:如何正确求助?哪些是违规求助? 2468519
关于积分的说明 6694072
捐赠科研通 2159398
什么是DOI,文献DOI怎么找? 1147075
版权声明 585193
科研通“疑难数据库(出版商)”最低求助积分说明 563591