Estimating the accuracy and precision of quantitative imaging biomarkers as endpoints for clinical trials using standard-of-care CT Conference Paper
| Authors: | Kinahan, P.; Byrd, D.; Yang, H.; Aerts, H.; Zhao, B.; Fedorov, A.; Schwartz, L.; Allison, T.; Moskowitz, C. |
| Title: | Estimating the accuracy and precision of quantitative imaging biomarkers as endpoints for clinical trials using standard-of-care CT |
| Conference Title: | 7th International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022) |
| 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 SPIE. |
| Keywords: | clinical trial; biomarkers; computerized tomography; medical imaging; quantitative imaging; patient treatment; clinical trials; ct imaging; textures; distribution functions; imaging biomarkers; reproducibilities; standard of cares; accuracy and precision; repeatability and reproducibility; probability distribution functions; virtual imaging |
| Journal Title | Proceedings of SPIE |
| Volume: | 12304 |
| Conference Dates: | 2022 Jun 12-16 |
| Conference Location: | Baltimore, MD |
| ISBN: | 0277-786X |
| Publisher: | SPIE |
| Date Published: | 2022-01-01 |
| Start Page: | 123040R |
| Language: | English |
| DOI: | 10.1117/12.2646614 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Conference Paper -- (ISBN: 9781510656697) -- PDF lists incorrect footnote citation numbers -- Export Date: 1 December 2022 -- Source: Scopus |
