ArticleNeuro-oncology2022
Volumetric endpoints in diffuse intrinsic pontine glioma: comparison to cross-sectional measures and outcome correlations in the International DIPG/DMG Registry.
Article in Neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Toward uncertainty-aware manual delineation of brain tumours using eye-tracking and image-derived features.Physics and imaging in radiation oncology · 2026Article
- AI-powered segmentation and prognosis with missing MRI in pediatric brain tumors.NPJ precision oncology · 2026Article
- Operative performance of RAPNO DIPG imaging criteria-a study from the International DIPG/DMG Registry.Neuro-oncology practice · 2025Article
- Applications of artificial intelligence and advanced imaging in pediatric diffuse midline glioma.Neuro-oncology · 2025Review
- Letter to the Editor: "The relationship between imaging features, therapeutic response, and overall survival in pediatric diffuse intrinsic pontine glioma".Neurosurgical review · 2024Article
- Article
- The relationship between imaging features, therapeutic response, and overall survival in pediatric diffuse intrinsic pontine glioma.Neurosurgical review · 2024Article
- Correlation of Molecular Status with Preoperative Olfactory Function in Olfactory Groove Meningioma.Cancers · 2024Article
- Early prognostication of overall survival for pediatric diffuse midline gliomas using MRI radiomics and machine learning: a two-center study.medRxiv : the preprint server for health sciences · 2024Article
- Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities.Frontiers in medicine · 2023Article
- Early prognostication of overall survival for pediatric diffuse midline gliomas using MRI radiomics and machine learning: A two-center study.Neuro-oncology advancesArticle
- Tumor volume features predict survival outcomes for patients diagnosed with diffuse intrinsic pontine glioma.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
19 authors at 10 institutions in 3 countries.
Funding
Abstract
backgroundCross-sectional tumor measures are traditional clinical trial endpoints; however volumetric measures may better assess tumor growth. We determined the correlation and compared the prognostic impact of cross-sectional and volumetric measures of progressive disease (PD) among patients with DIPG.
methodsImaging and clinical data were abstracted from the International DIPG Registry. Tumor volume and cross-sectional product (CP) were measured with mint Lesion™ software using manual contouring. Correlation between CP and volume (segmented and mathematical [ellipsoid] model) thresholds of PD were assessed by linear regression. Landmark analyses determined differences in survival (via log-rank) between patients classified as PD versus non-PD by CP and volumetric measurements at 1, 3, 5, 7, and 9 months postradiotherapy (RT). Hazard ratios (HR) for survival after these time points were calculated by Cox regression.
resultsA total of 312 MRIs (46 patients) were analyzed. Comparing change from the previous smallest measure, CP increase of 25% (PD) correlated with a segmented volume increase of 30% (R2 = 0.710), rather than 40% (spherical model extrapolation). CP-determined PD predicted survival at 1 month post-RT (HR = 2.77), but not other time points. Segmented volumetric-determined PD (40% threshold) predicted survival at all imaging timepoints (HRs = 2.57, 2.62, 3.35, 2.71, 16.29), and 30% volumetric PD threshold predicted survival at 1, 3, 5, and 9 month timepoints (HRs = 2.57, 2.62, 4.65, 5.54). Compared to ellipsoid volume, segmented volume demonstrated superior survival associations.
conclusionsSegmented volumetric assessments of PD correlated better with survival than CP or ellipsoid volume at most time points. Semiautomated tumor volume likely represents a more accurate, prognostically-relevant measure of disease burden in DIPG.
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