Radiomic and Volumetric Measurements as Clinical Trial Endpoints-A Comprehensive Review

Ionut-Gabriel Funingana1,2,3,4, Pubudu Piyatissa5, Marika Reinius1,2,3,4

  • 1Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK.

Cancers
|October 27, 2022
PubMed

Insights

Volumetric and radiomics metrics show promise for oncology clinical trial endpoints beyond RECIST v1.1. Standardization in segmentation, validation, and data sharing is crucial for their wider implementation in cancer drug development.

Area of Science:

  • Oncology
  • Radiology
  • Biomarkers

Background:

  • Current oncology drug development relies on surrogate biomarkers like RECIST v1.1, assessing tumor burden changes.
  • Tumor size reduction is an imperfect surrogate for drug activity, yet objective response rate is a common Phase 2 endpoint.
  • Novel therapies targeting complex biological systems necessitate integrative response and outcome biomarkers.

Purpose of the Study:

  • To review the literature on volumetric and radiomics metrics for oncology clinical trial endpoints.
  • To assess the readiness of these advanced metrics across four tumor types: breast cancer, rectal cancer, lung cancer, and glioblastoma.
  • To identify key areas for development to enable wider clinical implementation.

Main Methods:

  • Literature review focusing on volumetric and radiomics metrics in oncology.
  • Analysis of preparedness for these metrics as clinical trial endpoints in representative tumor types.
  • Identification of critical development areas including segmentation, validation, and data sharing.

Main Results:

  • Volumetric and radiomics metrics offer potential for more predictive endpoints in oncology trials.
  • The current literature review highlights the need for standardization in these advanced imaging techniques.
  • Three critical areas require concerted efforts: segmentation, validation, and data sharing strategies.

Conclusions:

  • Volumetric and radiomics metrics hold significant potential to enhance oncology clinical trial endpoints.
  • Standardization in segmentation, validation, and data sharing is essential for the clinical implementation of these metrics.
  • Addressing these key areas will facilitate the progress of volumetric and radiomics-based endpoints for broader clinical use.

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