Low conductivity on electrical properties tomography demonstrates unique tumor habitats indicating progression in glioblastoma

医学 神经组阅片室 栖息地 曲线下面积 胶质母细胞瘤 灌注 核医学 放射科 内科学 病理 生物 癌症研究 生态学 神经学 精神科
作者
Ji Eun Park,Ho Sung Kim,NakYoung Kim,Young‐Hoon Kim,Jeong Hoon Kim,Eun-Ju Kim,Jin-Woo Hwang,Ulrich Katscher
出处
期刊:European Radiology [Springer Science+Business Media]
卷期号:31 (9): 6655-6665 被引量:14
标识
DOI:10.1007/s00330-021-07976-w
摘要

Tissue conductivity measurements made with electrical properties tomography (EPT) can be used to define temporal changes in tissue habitats on longitudinal multiparametric MRI. We aimed to demonstrate the added insights for identifying tumor habitats obtained by including EPT with diffusion- and perfusion-weighted MRI, and to evaluate the use of these tumor habitats for determining tumor treatment response in post-treatment glioblastoma. Tumor habitats were developed from EPT, diffusion-weighted, and perfusion-weighted MRI in 60 patients with glioblastoma who underwent concurrent chemoradiotherapy. Voxels from EPT, apparent diffusion coefficient (ADC), and cerebral blood volume (CBV) maps were clustered into habitats, and each habitat was serially examined to assess its temporal change. The usefulness of temporal changes in tumor habitats for diagnosing tumor progression and treatment-related change was investigated using logistic regression. The performance of significant predictors was measured using the area under the curve (AUC) from receiver-operating-characteristics analysis with 1000-fold bootstrapping. Five tumor habitats were identified, and of these, the hypervascular cellular habitat (odds ratio [OR] 5.45; 95% CI, 1.75–31.42; p = .02), hypovascular low conductivity habitat (OR 2.00; 95% CI, 1.45–3.05; p < .001), and hypovascular intermediate habitat (OR 1.57; 95% CI, 1.18–2.30; p = .006) were predictive of tumor progression. Low EPT and low CBV reflected a unique hypovascular low conductivity habitat that showed the highest diagnostic performance (AUC 0.86; 95% CI, 0.76–0.96). The combined habitats showed high performance (AUC 0.90; 95% CI, 0.82–0.98) in the differentiation of tumor progression from treatment-related change. EPT reveals low conductivity habitats that can improve the diagnosis of tumor progression in post-treatment glioblastoma. • Electrical properties tomography (EPT) demonstrated lower conductivity in tumor progression than in treatment-related change. • EPT allowed identification of a unique hypovascular low conductivity habitat when combined with cerebral blood volume mapping. • Tumor habitats with a hypovascular low conductivity habitat, hypervascular cellular habitat, and hypovascular intermediate habitat yielded high diagnostic performance for diagnosing tumor progression.
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
一定xing完成签到 ,获得积分10
1秒前
魔幻的觅珍完成签到,获得积分10
2秒前
yu完成签到 ,获得积分10
2秒前
2秒前
Alexa应助naive采纳,获得10
3秒前
残剑月发布了新的文献求助10
3秒前
123完成签到,获得积分20
3秒前
吴瑶完成签到 ,获得积分10
3秒前
Melody完成签到,获得积分10
4秒前
Keyl完成签到,获得积分10
4秒前
5秒前
惠香香的完成签到,获得积分10
5秒前
6秒前
7秒前
大方的笑萍完成签到 ,获得积分10
8秒前
隐形曼青应助小宇采纳,获得10
8秒前
9秒前
chenalong发布了新的文献求助10
9秒前
梦初醒处完成签到,获得积分10
9秒前
Leofar发布了新的文献求助10
10秒前
2259778949发布了新的文献求助10
10秒前
SciGPT应助bobo采纳,获得10
10秒前
11秒前
13秒前
sheng杜笙笙完成签到,获得积分10
13秒前
打打应助神勇的半兰采纳,获得20
14秒前
11111应助徐彬荣采纳,获得20
14秒前
15秒前
微瑕发布了新的文献求助10
16秒前
17秒前
vigour发布了新的文献求助10
18秒前
Rolling完成签到,获得积分10
18秒前
王金浪完成签到,获得积分10
18秒前
19秒前
Jacinta完成签到 ,获得积分10
19秒前
Diss完成签到,获得积分10
20秒前
王焕玉完成签到,获得积分10
20秒前
丘比特应助vigour采纳,获得10
21秒前
23秒前
chenalong完成签到,获得积分10
23秒前
高分求助中
Metallurgy at high pressures and high temperatures 2000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
Relationship between smartphone usage in changes of ocular biometry components and refraction among elementary school children 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
应急管理理论与实践 530
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6335875
求助须知:如何正确求助?哪些是违规求助? 8151850
关于积分的说明 17119973
捐赠科研通 5391447
什么是DOI,文献DOI怎么找? 2857587
邀请新用户注册赠送积分活动 1835162
关于科研通互助平台的介绍 1685903