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
学术蟑螂完成签到,获得积分10
刚刚
waytrue发布了新的文献求助10
刚刚
1秒前
1秒前
slp完成签到,获得积分10
2秒前
共享精神应助Vary采纳,获得10
2秒前
2秒前
难过立辉完成签到 ,获得积分10
4秒前
暴发户发布了新的文献求助10
4秒前
5秒前
5秒前
共享精神应助零食不好吃采纳,获得10
5秒前
6秒前
研友_5Y9775完成签到,获得积分10
6秒前
6秒前
巨型计算机关注了科研通微信公众号
6秒前
6秒前
学术蟑螂发布了新的文献求助10
6秒前
6秒前
张楚完成签到,获得积分10
6秒前
fighting完成签到 ,获得积分10
7秒前
7秒前
7秒前
一一完成签到,获得积分10
8秒前
浮华乱世完成签到,获得积分10
8秒前
molihuakai应助小小富采纳,获得60
8秒前
自信的易云完成签到,获得积分10
8秒前
爆米花应助白泽采纳,获得10
8秒前
9秒前
fen发布了新的文献求助10
9秒前
外向的如柏完成签到,获得积分10
9秒前
22完成签到,获得积分10
9秒前
阔达宝莹完成签到,获得积分20
9秒前
Jason完成签到,获得积分10
9秒前
10秒前
MMM完成签到 ,获得积分10
10秒前
10秒前
清秀晓筠完成签到,获得积分10
10秒前
11秒前
dd发布了新的文献求助10
11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
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
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 6391154
求助须知:如何正确求助?哪些是违规求助? 8206306
关于积分的说明 17369208
捐赠科研通 5444756
什么是DOI,文献DOI怎么找? 2878705
邀请新用户注册赠送积分活动 1855187
关于科研通互助平台的介绍 1698459