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Related Experiment Video

Updated: Jul 16, 2025

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

Voxel-based analysis: Roadmap for clinical translation.

Alan McWilliam¹, Giuseppe Palma², Azadeh Abravan¹

¹The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK.

Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology

|September 8, 2023

Summary

This summary is machine-generated.

Voxel-based analysis (VBA) in radiotherapy offers new insights into dose-response relationships by analyzing the full 3D dose distribution. This roadmap guides the clinical translation of VBA for improved patient outcomes.

Keywords:

Clinical translation Outcome modelling Radiotherapy Validation Voxel-based analysis

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Published on: July 6, 2022

Area of Science:

Radiation Oncology
Medical Physics
Radiotherapy Research

Background:

Voxel-based analysis (VBA) enables comprehensive 3D dose distribution evaluation in radiotherapy.
It bypasses the need for predefined organs, revealing insights into anatomical variability, pathophysiology, and radiosensitivity.
VBA can uncover radiobiological heterogeneity and dose-response associations across tissues.

Purpose of the Study:

To present a comprehensive roadmap for the clinical translation of Voxel-based analysis (VBA).
To outline key considerations and best practices for implementing VBA in clinical settings.
To facilitate the translation of VBA findings into tangible patient benefits.

Main Methods:

Technical validation focusing on methodological robustness.
Clinical validation assessing generalizability to external datasets and pathophysiological plausibility.
Clinical utility assessment to demonstrate potential patient benefit.

Main Results:

A structured roadmap for VBA clinical translation is presented.
Key considerations for technical, clinical validation, and utility are discussed.
Recommendations for best practices are provided for each step.

Conclusions:

Successful clinical translation of VBA requires rigorous validation and demonstration of patient benefit.
The proposed roadmap provides a framework for implementing VBA effectively in radiotherapy.
VBA holds significant potential for advancing personalized radiotherapy and improving patient outcomes.