Tumor localization strategies of multicancer early detection tests: a quantitative assessment
An imaging-based diagnostic strategy is more efficient than a molecular tissue of origin-informed approach across almost all PPV and tissue of origin accuracy combinations. The use of an imaging-based approach for cancer localization can be efficient and low-risk compared with a molecular-informed approach.
Authors
- Elliot K. Fishman (ORCID: https://orcid.org/0000-0002-2567-1658)
- Tomasz M. Beer (ORCID: https://orcid.org/0000-0001-5600-9993)
- Elizabeth O’Donnell (ORCID: https://orcid.org/0000-0002-4042-1526)
- Carlos E. Durán (ORCID: https://orcid.org/0000-0003-1853-3641)
- Christopher Tyson (ORCID: https://orcid.org/0009-0003-0418-3502)
- Omair A. Choudhry
- Vijay Parthasarathy
- Kevin H. Li
- Seema P. Rego
- James M. O’Brien
- Xiting Cao
Institutions
- Harvard University (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Exact Sciences (United States) (US)
- VisionQuest Biomedical (United States) (US)
- Dana-Farber Cancer Institute (US)
- Dana-Farber/Harvard Cancer Center (US)
- Sidney Kimmel Comprehensive Cancer Center (US)
Publication Details
- Journal
- JNCI Cancer Spectrum
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1093/jncics/pkaf011
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36