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

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Abstract
Objectives 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. Methods 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. Results 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. Conclusion EPT reveals low conductivity habitats that can improve the diagnosis of tumor progression in post-treatment glioblastoma.
Author(s)
박지은김호성김낙영김영훈김정훈김은주황진우Ulrich Katscher
Issued Date
2021
Type
Article
Keyword
Electrical conductivityGlioblastomaMagnetic resonance imagingTreatment outcome.
DOI
10.1007/s00330-021-07976-w
URI
https://oak.ulsan.ac.kr/handle/2021.oak/8183
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_proquest_miscellaneous_2516224343&amp;context=PC&amp;vid=ULSAN&amp;lang=ko_KR&amp;search_scope=default_scope&amp;adaptor=primo_central_multiple_fe&amp;tab=default_tab&amp;query=any,contains,Low%20conductivity%20on%20electrical%20properties%20tomography%20demonstrates%20unique%20tumor%20habitats%20indicating%20progression%20in%20glioblastoma&amp;offset=0&amp;pcAvailability=true
Publisher
EUROPEAN RADIOLOGY
Location
대한민국
Language
영어
ISSN
0938-7994
Citation Volume
31
Citation Number
9
Citation Start Page
6655
Citation End Page
6665
Appears in Collections:
Medicine > Medicine
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