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 Nature]
卷期号:31 (9): 6655-6665 被引量:8
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.
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