CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12304 > Article
Open Access Paper
17 October 2022 Estimating the accuracy and precision of quantitative imaging biomarkers as endpoints for clinical trials using standard-of-care CT
Paul Kinahan, Darrin Byrd, Hao Yang, Hugo Aerts, Binzhang Zhao, Andrey Fedorov, Lawrence Schwartz, Tavis Allison, Chaya Moskowitz
Author Affiliations +
Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 123040R (2022) https://doi.org/10.1117/12.2646614
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
Quantitative imaging biomarkers (QIBs) hold enormous potential to improve the efficiency of clinical trials that use standard-of-care CT imaging. Examples of QIBs include size, shape, intensity histogram characteristics, texture, radiomics, and more. There is, however, a well-recognized gap between discovery and the translation to practice of QIBs, which is driven in part by concerns about their repeatability and reproducibility in the diverse clinical environment. Our goal is to characterize QIB repeatability and reproducibility by using virtual imaging clinical trials (VICTs) to simulate the full data pathway. We start by estimating the probability distribution functions (PDFs) for patient-, disease-, treatment- , and imaging-related sources of variability. These are used to forward-model sinograms that are reconstructed and then analyzed by the QIB under evaluation in a virtual imaging pipeline. By repeatedly sampling from the variability PDFs, estimates of the bias, variance, repeatability and reproducibility of the QIB can be generated by comparison with the known ground truth. These estimates of QIB performance can be used as evidence of the utility of QIBs in clinical trials of new therapies.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Paul Kinahan, Darrin Byrd, Hao Yang, Hugo Aerts, Binzhang Zhao, Andrey Fedorov, Lawrence Schwartz, Tavis Allison, and Chaya Moskowitz "Estimating the accuracy and precision of quantitative imaging biomarkers as endpoints for clinical trials using standard-of-care CT", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 123040R (17 October 2022); https://doi.org/10.1117/12.2646614
PROCEEDINGS
 5 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Clinical trials
Computed tomography
Tumors
Therapeutics
Data modeling
Imaging systems
Error analysis
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top