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Lung and Cardiovascular Disease Detection with Large Scale, Disease Screening Chest X-rays

Principal Investigator
Name
Pingkun Yan
Degrees
Ph.D.
Institution
Rensselaer Polytechnic Institute
Position Title
Associate Professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCOI-1505
Initial CDAS Request Approval
Mar 25, 2024
Title
Lung and Cardiovascular Disease Detection with Large Scale, Disease Screening Chest X-rays
Summary
Lung and heart diseases are the leading causes of death in the United States. Computerized lung and heart disease detection tools can detect nuanced imaging features related to lung and heart diseases to diagnose patients at high disease risk. Such predictive capability is key to devising effective health management strategies, enabling early intervention, and potentially saving lives by mitigating disease progession. This study aims to use the large scale lung cancer screening chest X-rays and detailed follow-up data in Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial to conduct thorough research investigating the viability of utilizing chest X-rays to develop computed-aid diagnosis models for lung and heart disease detection.
Aims

To develop advanced deep learning models that can build robust association between imaging information and the risk of diseases related to the lung and heart through the training on the large scale dataset made available by the lung cancer screening arm in Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.

Collaborators

Prof. Ge Wang, Fellow of IEEE, SPIE, OSA, AIMBE, AAPM, AAAS, and NAI; Professor, Biomedical Engineering Department, Rensselaer Polytechnic Institute
Dr. Mannudeep K. Kalra, Radiologist, Massachusetts General Hospital; Professor of Radiology, Harvard Medical School