IDH genotypes differentiation in glioblastomas using DWI and DSC-PWI in the enhancing and peri-enhancing region

医学 佩里 基因型 病理 内科学 遗传学 基因 生物
作者
Zhen Xing,Hua Zhang,Dejun She,Yu Lin,Xiaofan Zhou,Zheng Zeng,Dairong Cao
出处
期刊:Acta Radiologica [SAGE Publishing]
卷期号:60 (12): 1663-1672 被引量:25
标识
DOI:10.1177/0284185119842288
摘要

Background Isocitrate dehydrogenase (IDH) mutation has diagnostic and prognostic values in glioblastomas. Peritumoral invasion of glioma cells is a cardinal feature of glioblastomas. Purpose To evaluate the contribution of DWI and DSC-PWI in the enhancing and peri-enhancing region for discriminating glioblastomas IDH genotypes, and the diagnostic values of combining two techniques in the peri-enhancing region compared with those in the enhancing region. Material and Methods We retrospectively reviewed the conventional MRI (cMRI), DWI and DSC-PWI obtained from 10 patients with IDH-mutated (IDH-m) glioblastomas and 65 patients with IDH wild-type (IDH-w) glioblastomas. Features of cMRI, relative minimum ADC in the enhancing region (rADC min-t ) and peri-enhancing area (rADC min-p ), and relative maximum CBV values in the enhancing region (rCBV max-t ) and peri-enhancing region (rCBV max-p ) were compared between two groups. Receiver operating characteristic curves and logistic regression analysis were used to assess diagnostic performance. Results IDH-m glioblastomas tended to present in frontal lobes and younger patients. The rADC min-t ( P = 0.042) were significantly lower in IDH-w than IDH-m. Both rCBV max-t and rCBV max-p showed significant differences between two subgroups (all P < 0.001). The optimal cutoff values in prediction of IDH-m were >0.98 for rADC min-t , <7.27 for rCBV max-t , and < 0.97 for rCBV max-p . Multivariate logistic regression revealed that the combination of rADC min-t and rCBV max-t yielded the highest sensitivity and specificity. Conclusion The rCBV max-t or rCBV max-p may serve as preferable and comparable imaging biomarkers for evaluation of glioblastomas IDH status. The combination of rADC min-t and rCBV max-t may yield the maximum predictive power for differentiating IDH status.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
1秒前
超级发布了新的文献求助10
1秒前
2秒前
Fannia完成签到,获得积分10
3秒前
科研狗应助Zeger116采纳,获得30
3秒前
4秒前
4秒前
Cica完成签到 ,获得积分10
4秒前
高贵路灯完成签到,获得积分10
4秒前
泪西瓜发布了新的文献求助10
5秒前
鱼鱼鱼发布了新的文献求助10
5秒前
5秒前
lin发布了新的文献求助10
6秒前
6秒前
7秒前
南桑完成签到 ,获得积分10
8秒前
Waldinsamkeit发布了新的文献求助10
8秒前
8秒前
8秒前
ami完成签到,获得积分10
8秒前
9秒前
核桃发布了新的文献求助10
9秒前
11秒前
旺旺仙貝发布了新的文献求助10
11秒前
zpeng发布了新的文献求助10
12秒前
骆十八完成签到,获得积分10
12秒前
zhou完成签到,获得积分10
12秒前
Polly完成签到,获得积分10
13秒前
科研通AI6.4应助鱼鱼鱼采纳,获得10
13秒前
小徐发布了新的文献求助10
14秒前
ly完成签到,获得积分10
14秒前
牛牛发布了新的文献求助10
14秒前
曾绍炜完成签到,获得积分10
14秒前
15秒前
胡萝贝完成签到,获得积分10
16秒前
小胡完成签到,获得积分10
17秒前
17秒前
18秒前
19秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
Transdermal drug delivery systems market size report 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7642116
求助须知:如何正确求助?哪些是违规求助? 9215191
关于积分的说明 19767902
捐赠科研通 7207492
什么是DOI,文献DOI怎么找? 3276322
关于科研通互助平台的介绍 2438071
邀请新用户注册赠送积分活动 2274067