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Abstract
BACKGROUND AND PURPOSE: Response on imaging is widely used to evaluate treatment efficacy in clinical trials of pediatric gliomas. While conventional criteria rely on 2D measurements, volumetric analysis may provide a more comprehensive response assessment. There is sparse research on the role of volumetrics in pediatric gliomas. Our purpose was to compare 2D and volumetric analysis with the assessment of neuroradiologists using the Brain Tumor Reporting and Data System (BT-RADS) in BRAF V600E-mutant pediatric gliomas.
MATERIALS AND METHODS: Manual volumetric segmentations of whole and solid tumors were compared with 2D measurements in 31 participants (292 follow-up studies) in the Pacific Pediatric Neuro-Oncology Consortium 002 trial (NCT01748149). Two neuroradiologists evaluated responses using BT-RADS. Receiver operating characteristic analysis compared classification performance of 2D and volumetrics for partial response. Agreement between volumetric and 2D mathematically modeled longitudinal trajectories for 25 participants was determined using the model-estimated time to best response.
RESULTS: Of 31 participants, 20 had partial responses according to BT-RADS criteria. Receiver operating characteristic curves for the classification of partial responders at the time of first detection (median = 2 months) yielded an area under the curve of 0.84 (95% CI, 0.69–0.99) for 2D area, 0.91 (95% CI, 0.80–1.00) for whole-volume, and 0.92 (95% CI, 0.82–1.00) for solid volume change. There was no significant difference in the area under the curve between 2D and solid (P = .34) or whole volume (P = .39). There was no significant correlation in model-estimated time to best response (ρ = 0.39, P >.05) between 2D and whole-volume trajectories. Eight of the 25 participants had a difference of ≥90 days in transition from partial response to stable disease between their 2D and whole-volume modeled trajectories.
CONCLUSIONS: Although there was no overall difference between volumetrics and 2D in classifying partial response assessment using BT-RADS, further prospective studies will be critical to elucidate how the observed differences in tumor 2D and volumetric trajectories affect clinical decision-making and outcomes in some individuals.
ABBREVIATIONS:
- AUC
- area under the curve
- BT-RADS
- Brain Tumor Reporting and Data System
- MinR
- minor response
- nRMSE
- normalized root mean squared error
- PD
- progressive disease
- PNOC
- Pacific Pediatric Neuro-Oncology Consortium
- PR
- partial response
- RAPNO
- Response Assessment in Pediatric Neuro-Oncology
- ROC
- receiver operating characteristic
- SD
- stable disease
Footnotes
D.R. was supported by the RSNA Research & Education Foundation’s Research Medical Student Grant and the Gershon, Gardner, Hirsch, Weiss Yale One-Year Sponsored Fellowship award. S.C.B. was supported by the Botnar Research Center for Child Health Postdoctoral Excellence Program (#PEP-2021-1008). M.v.R. received funding from the German Academic Scholarship Foundation. M.S.A. received funding from the American Society of Neuroradiology Fellow Award 2018.
This publication was made possible by KL2 TR001862 (M.S.A.) from the National Center for Advancing Translational Science, components of the National Institutes of Health, and National Institutes of Health Roadmap for Medical Research.
Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the National Institutes of Health.
D. Ramakrishnan and S.C. Brüningk are co-first authors.
The Pacific Pediatric Neuro-Oncology Consortium (PNOC) PNOC-002 was supported by funds from Genentech/Roche, the PNOC Foundation, and the Pediatric Brain Tumor Foundation.
Disclosure forms provided by the authors are available with the full text and PDF of this article at www.ajnr.org.
- © 2024 by American Journal of Neuroradiology