Hye Hyeon Moon, Ji Eun Park, Nak Young Kim, Seo Young Park, Young-Hoon Kim, Sang Woo Song, Chang Ki Hong, Jeong Hoon Kim, Ho Sung Kim
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Pre-defined cutoffs for increases in hypervascular and hypovascular cellular habitat were applied to calculate the habitat risk score. Associations between spatiotemporal habitats, habitat risk score, TTP, and OS were investigated using Cox proportional hazards modeling. Habitat risk score was compared to tumor volume using time-dependent receiver operating characteristics analysis. Progression sites were matched with spatial habitats.</p><p><strong>Results: </strong>Increases in hypervascular and hypovascular cellular habitats and habitat risk scores were associated with shorter TTP and OS (all p < .05). Hypovascular cellular habitat and habitat risk scores 1 and 2 independently predicted TTP (hazard ratio [HR], 4.14; p=.03, HR, 4.51; p=.001 and HR, 10.02; p<.001, respectively). Hypovascular cellular habitat and habitat risk score 2 independently predicted OS (HR, 4.01, p=.003; and HR, 3.27, p<.001, respectively). Habitat risk score outperformed tumor volume in predicting TTP (12-month AUC, 0.762 vs. 0.646, p=.048). Hypovascular cellular habitat predicted progression sites (mean Dice index: 0.31).</p><p><strong>Conclusions: </strong>Multiparametric physiologic MRI-based spatiotemporal tumor habitats and habitat risk scores are useful biomarkers for early tumor progression and outcomes in IDH-wildtype glioblastoma patients.</p>","PeriodicalId":19377,"journal":{"name":"Neuro-oncology","volume":" ","pages":""},"PeriodicalIF":16.4000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prospective Longitudinal Analysis of Physiologic MRI-based Tumor Habitat Predicts Short-term Patient Outcomes in IDH-wildtype Glioblastoma.\",\"authors\":\"Hye Hyeon Moon, Ji Eun Park, Nak Young Kim, Seo Young Park, Young-Hoon Kim, Sang Woo Song, Chang Ki Hong, Jeong Hoon Kim, Ho Sung Kim\",\"doi\":\"10.1093/neuonc/noae227\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>This study validates MRI-based tumor habitats in predicting time-to-progression (TTP), overall survival (OS), and progression site in isocitrate dehydrogenase (IDH)-wildtype glioblastoma patients.</p><p><strong>Methods: </strong>Seventy-nine patients were prospectively enrolled between January 2020 and June 2022. MRI, including diffusion-weighted and dynamic susceptibility contrast imaging, were obtained immediately post-operation and at three serial timepoints. Voxels from cerebral blood volume and apparent diffusion coefficient maps were grouped into three habitats (hypervascular cellular, hypovascular cellular, and nonviable tissue) using k-means clustering. Pre-defined cutoffs for increases in hypervascular and hypovascular cellular habitat were applied to calculate the habitat risk score. Associations between spatiotemporal habitats, habitat risk score, TTP, and OS were investigated using Cox proportional hazards modeling. Habitat risk score was compared to tumor volume using time-dependent receiver operating characteristics analysis. Progression sites were matched with spatial habitats.</p><p><strong>Results: </strong>Increases in hypervascular and hypovascular cellular habitats and habitat risk scores were associated with shorter TTP and OS (all p < .05). 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引用次数: 0
摘要
背景:本研究验证了基于核磁共振成像的肿瘤生境在预测异柠檬酸脱氢酶(IDH)-野生型胶质母细胞瘤患者的进展时间(TTP)、总生存期(OS)和进展部位方面的作用:在2020年1月至2022年6月期间,79名患者被纳入前瞻性研究。磁共振成像包括弥散加权成像和动态感度对比成像,分别在手术后立即和三个连续时间点进行。利用k均值聚类将脑血容量和表观弥散系数图中的体素分为三种生境(高血管细胞、低血管细胞和无活力组织)。在计算生境风险评分时,采用了预先确定的高血管细胞生境和低血管细胞生境增加的临界值。使用 Cox 比例危险模型研究了时空栖息地、栖息地风险评分、TTP 和 OS 之间的关联。使用时间依赖性接收器操作特征分析将生境风险评分与肿瘤体积进行比较。进展部位与空间生境相匹配:结果:高血管细胞生境和低血管细胞生境及生境风险评分的增加与较短的TTP和OS相关(所有P < .05)。下血管细胞生境和生境风险评分1和2可独立预测TTP(危险比[HR],4.14;p=.03,HR,4.51;p=.001和HR,10.02;p结论:多参数生理学核磁共振成像(MRI)的结果显示,下血管细胞生境和生境风险评分1和2可独立预测TTP:基于多参数生理学磁共振成像的时空肿瘤生境和生境风险评分是IDH野生型胶质母细胞瘤患者早期肿瘤进展和预后的有用生物标志物。
Prospective Longitudinal Analysis of Physiologic MRI-based Tumor Habitat Predicts Short-term Patient Outcomes in IDH-wildtype Glioblastoma.
Background: This study validates MRI-based tumor habitats in predicting time-to-progression (TTP), overall survival (OS), and progression site in isocitrate dehydrogenase (IDH)-wildtype glioblastoma patients.
Methods: Seventy-nine patients were prospectively enrolled between January 2020 and June 2022. MRI, including diffusion-weighted and dynamic susceptibility contrast imaging, were obtained immediately post-operation and at three serial timepoints. Voxels from cerebral blood volume and apparent diffusion coefficient maps were grouped into three habitats (hypervascular cellular, hypovascular cellular, and nonviable tissue) using k-means clustering. Pre-defined cutoffs for increases in hypervascular and hypovascular cellular habitat were applied to calculate the habitat risk score. Associations between spatiotemporal habitats, habitat risk score, TTP, and OS were investigated using Cox proportional hazards modeling. Habitat risk score was compared to tumor volume using time-dependent receiver operating characteristics analysis. Progression sites were matched with spatial habitats.
Results: Increases in hypervascular and hypovascular cellular habitats and habitat risk scores were associated with shorter TTP and OS (all p < .05). Hypovascular cellular habitat and habitat risk scores 1 and 2 independently predicted TTP (hazard ratio [HR], 4.14; p=.03, HR, 4.51; p=.001 and HR, 10.02; p<.001, respectively). Hypovascular cellular habitat and habitat risk score 2 independently predicted OS (HR, 4.01, p=.003; and HR, 3.27, p<.001, respectively). Habitat risk score outperformed tumor volume in predicting TTP (12-month AUC, 0.762 vs. 0.646, p=.048). Hypovascular cellular habitat predicted progression sites (mean Dice index: 0.31).
Conclusions: Multiparametric physiologic MRI-based spatiotemporal tumor habitats and habitat risk scores are useful biomarkers for early tumor progression and outcomes in IDH-wildtype glioblastoma patients.
期刊介绍:
Neuro-Oncology, the official journal of the Society for Neuro-Oncology, has been published monthly since January 2010. Affiliated with the Japan Society for Neuro-Oncology and the European Association of Neuro-Oncology, it is a global leader in the field.
The journal is committed to swiftly disseminating high-quality information across all areas of neuro-oncology. It features peer-reviewed articles, reviews, symposia on various topics, abstracts from annual meetings, and updates from neuro-oncology societies worldwide.