Pan-cancer analyses of imaging-clinical phenotype associations using updated PLCO cohorts
Principal Investigator
Name
Kun-Hsing Yu
Degrees
M.D., Ph.D.
Institution
President and Fellows of Harvard College
Position Title
Assistant Professor
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCOI-1509
Initial CDAS Request Approval
Mar 25, 2024
Title
Pan-cancer analyses of imaging-clinical phenotype associations using updated PLCO cohorts
Summary
Machine learning methods can extract previously unknown associations from high-dimensional datasets. In this project, we will develop quantitative algorithms to process the radiology and histopathology images collected by the PLCO study. We will apply machine learning methods to identify the associations among radiology image patterns, microscopic pathology images, and clinical phenotypes of patients who participated in the updated PLCO cohorts. Our approach is expected to extract clinically relevant image patterns from radiology and pathology data.
Aims
Aim 1: To connect radiology image patterns with clinical phenotypes.
Aim 2: To associate the pathology image features with clinical phenotypes.
Aim 3: To correlate pathology and radiology image features.
Collaborators
Kun-Hsing Yu, MD, PhD, Harvard Medical School.