Prospective longitudinal analysis of imaging-based spatiotemporal tumor habitats in glioblastoma, IDH-wild type: implication in patient outcome using multiparametric physiologic MRI

被引：0

作者：

Moon, Hye Hyeon ^{[1
,2
]}

Park, Ji Eun ^{[1
,2
]}

Kim, Nakyoung ^{[3
]}

Kim, Young-Hoon ^{[4
]}

Song, Sang Woo ^{[4
]}

Hong, Chang Ki ^{[4
]}

Kim, Jeong Hoon ^{[4
]}

Kim, Ho Sung ^{[1
,2
]}

机构：

[1] Univ Ulsan, Asan Med Ctr, Dept Radiol, Coll Med, 43 Olymp Ro 88, Seoul 05505, South Korea

[2] Univ Ulsan, Res Inst Radiol, Asan Med Ctr, Coll Med, 43 Olymp Ro 88, Seoul 05505, South Korea

[3] Dynapex LLC, Seoul, South Korea

[4] Univ Ulsan, Asan Med Ctr, Dept Neurosurg, Coll Med, Seoul, South Korea

来源：

BMC CANCER | 2024年 / 24卷 / 01期

基金：

新加坡国家研究基金会;

关键词：

Glioblastoma; Tumor habitat; Physiologic MRI; Outcome; HIGH-GRADE GLIOMAS; CENTRAL-NERVOUS-SYSTEM; RESPONSE ASSESSMENT; CLASSIFICATION; DIFFUSION;

D O I：

10.1186/s12885-024-12939-7

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

BackgroundPhysiologic MRI-based tumor habitat analysis has the potential to predict patient outcomes by identifying the spatiotemporal habitats of glioblastoma. This study aims to prospectively validate the cut-off for tumor progression obtained from tumor habitat analysis based on physiologic MRI in ascertaining time-to-progression (TTP) and the site of progression in glioblastoma patients following concurrent chemoradiotherapy (CCRT).MethodsIn this prospective study (ClinicalTrials.gov ID: NCT02613988), we will recruit patients with IDH-wild type glioblastoma who underwent CCRT and obtained immediate post-operative and three serial post-CCRT MRI scans within a three-month interval, conducted using diffusion-weighted imaging and dynamic susceptibility contrast imaging. Voxels from cerebral blood volume and apparent diffusion coefficient maps will be grouped using k-means clustering into three spatial habitats (hypervascular cellular, hypovascular cellular, and nonviable tissue). The spatiotemporal habitats of the tumor will be evaluated by comparing changes in each habitat between the serial MRI scans (post-operative and post-CCRT #1, #2, and #3). Associations between spatiotemporal habitats and TTP will be analyzed using cox proportional hazard modeling. The site of progression will be matched with spatiotemporal habitats.DiscussionThe perfusion- and diffusion-derived tumor habitat in glioblastoma is expected to stratify TTP and may serve as an early predictor for tumor progression in patients with IDH wild-type glioblastoma.Trial registrationClinicalTrials.gov ID: NCT02613988.

引用

页数：8