Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers
Abstract
The tumor-associated vasculature (TAV) differs from healthy blood vessels by its convolutedness, leakiness, and chaotic architecture, and these attributes facilitate the creation of a treatment-resistant tumor microenvironment. Measurable differences in these attributes might also help stratify patients by likely benefit of systemic therapy (e.g., chemotherapy). In this work, we present a new category of computational image-based biomarkers called quantitative tumor-associated vasculature (QuanTAV) features, and demonstrate their ability to predict response and survival across multiple cancer types, imaging modalities, and treatment regimens involving chemotherapy.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jun 21, 2022
- Source ID
- 10.1158/1078-0432.ccr-21-4148
Entities
People
- Amit Gupta
- Anant Madabhushi
- Donna Plecha
- Jame Abraham
- Kaustav Bera
- Manasa Vulchi
- Maryam Etesami
- Mehdi Alilou
- Mohammadhadi Khorrami
- Nathan A Pennell
- Nathaniel M Braman
- Patrick Leo
- Paulette Turk
- Pingfu Fu
- Prantesh Jain
- Prateek Prasanna
- Vamsidhar Velcheti
Organizations
- Cleveland Clinic
- Hartwell Foundation
- National Cancer Institute
- National Center for Advancing Translational Sciences
- National Center for Research Resources
- National Heart, Lung, and Blood Institute
- National Institute of Biomedical Imaging and Bioengineering
- New York University
- Office of the Secretary of Defense
- UH Cleveland Medical Center
- United States Department of Veterans Affairs
- Wallace H. Coulter Foundation