Voxel-based analysis: Roadmap for clinical translation
McWilliam, Alan Palma, G. Abravan, Azadeh Acosta, O. Appelt, A. Aznar, Marianne Camille Monti, S. Onjukka, E. Panettieri, V. Placidi, L.
McWilliam, Alan
Palma, G.
Abravan, Azadeh
Acosta, O.
Appelt, A.
Aznar, Marianne Camille
Monti, S.
Onjukka, E.
Panettieri, V.
Placidi, L.
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Abstract
Voxel-based analysis (VBA) allows the full, 3-dimensional, dose distribution to be considered in radiotherapy outcome analysis. This provides new insights into anatomical variability of pathophysiology and radiosensitivity by removing the need for a priori definition of organs assumed to drive the dose response associated with patient outcomes. This approach may offer powerful biological insights demonstrating the heterogeneity of the radiobiology across tissues and potential associations of the radiotherapy dose with further factors. As this methodological approach becomes established, consideration needs to be given to translating VBA results to clinical implementation for patient benefit. Here, we present a comprehensive roadmap for VBA clinical translation. Technical validation needs to demonstrate robustness to methodology, where clinical validation must show generalisability to external datasets and link to a plausible pathophysiological hypothesis. Finally, clinical utility requires demonstration of potential benefit for patients in order for successful translation to be feasible. For each step on the roadmap, key considerations are discussed and recommendations provided for best practice.
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Date
2023
Publisher
Collections
Keywords
Type
Article
Citation
McWilliam A, Palma G, Abravan A, Acosta O, Appelt A, Aznar M, et al. Voxel-based analysis: Roadmap for clinical translation. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 2023 Sep 6;188:109868. PubMed PMID: 37683811. Epub 2023/09/09. eng.