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Published on: December 19, 2020
Data sets for the qualification of volumetric CT as a quantitative imaging biomarker in lung cancer
A J Buckler1, L H Schwartz, N Petrick
1Buckler Biomedical LLC, Wenham, MA, USA. andrew@bucklerbiomedical.com
Abstract:
The drug development industry is faced with increasing costs and decreasing success rates. New ways to understand biology as well as the increasing interest in personalized treatments for smaller patient segments requires new capabilities for the rapid assessment of treatment responses. Deployment of qualified imaging biomarkers lags apparent technology capabilities. The lack of consensus methods and qualification evidence needed for large-scale multi-center trials, as well as the standardization that allows them, are widely acknowledged to be the limiting factors. The current fragmentation in imaging vendor offerings, coupled with the independent activities of individual biopharmaceutical companies and their contract research organizations (CROs), may stand in the way of the greater opportunity were these efforts to be drawn together. A preliminary report, "Volumetric CT: a potential biomarker of response," of the Quantitative Imaging Biomarkers Alliance (QIBA) activity was presented at the Medical Imaging Continuum: Path Forward for Advancing the Uses of Medical Imaging in the Development of New Biopharmaceutical Products meeting of the Extended Pharmaceutical Research and Manufacturers of America (PhRMA) Imaging Group sponsored by the Drug Information Agency (DIA) in October 2008. The clinical context in Lung Cancer and a methodology for approaching the qualification of volumetric CT as a biomarker has since been reported [Acad. Radiol. 17, 100-106, 107-115 (2010)]. This report reviews the effort to collect and utilize publicly available data sets to provide a transparent environment in which to pursue the qualification activities in such a way as to allow independent peer review and verification of results. This article focuses specifically on our role as stewards of image sets for developing new tools.
Insights
Developing qualified imaging biomarkers for drug development is challenging due to fragmented efforts. This work reviews using public data sets to qualify volumetric CT as a biomarker for transparent, verifiable results.
Area of Science:
- Biopharmaceutical drug development
- Medical imaging biomarkers
- Quantitative imaging analysis
Background:
- Rising drug development costs and declining success rates necessitate improved treatment response assessment.
- Personalized medicine and smaller patient segments require rapid evaluation capabilities.
- Qualified imaging biomarkers are crucial but face challenges in deployment and standardization.
Purpose of the Study:
- To review efforts in collecting and utilizing public data sets for biomarker qualification.
- To establish a transparent environment for independent peer review and verification of results.
- To focus on the stewardship of image sets for developing new quantitative imaging tools.
Main Methods:
- Review of preliminary reports and published methodologies for volumetric CT as a biomarker.
- Utilizing publicly available data sets for transparent qualification activities.
- Focusing on image set stewardship for tool development.
Main Results:
- Identified fragmentation in imaging vendor offerings and independent industry activities as barriers.
- Highlighted the need for consensus methods and standardization for multi-center trials.
- Emphasized the potential of volumetric CT as a biomarker for treatment response, particularly in lung cancer.
Conclusions:
- Publicly available data sets can facilitate transparent and verifiable biomarker qualification.
- Standardization and collaborative efforts are essential to overcome fragmentation in imaging biomarker development.
- Volumetric CT shows promise as a qualified imaging biomarker, requiring continued stewardship of image data.

