Approved NLST Projects
Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
---|---|---|---|---|---|
Imaging Biomarkers and Lung Cancer Development and Mortality | DAVID WILSON | University of pittsburgh | NLST | Mar 21, 2023 | NLST-1025 |
Quantifying cancer screening overdiagnosis using synthetic excess incidence | Stuart Baker | National Cancer Institute | NLST | Mar 20, 2023 | NLST-1026 |
Gender Differences in Lung Cancer Screening in NLST Data: A Comparative Analysis | Mohamed Rahouma | Weill Cornell Medicine/ New York Presbyterian Hospital | NLST | Mar 8, 2023 | NLST-1023 |
Oncology department in India w.r.t the rest of the world | Saurabh Saurabh | Madras School of Economics, Chennai | NLST | Mar 8, 2023 | NLST-1022 |
A Graph-transformer for Lung Subtype Classification on Whole Slide Images | Yuxin Kang | Northwest University | NLST | Mar 8, 2023 | NLST-1021 |
Virtual NLST | Joseph Lo | Center for Virtual Imaging Trials (CVIT), Dept. of Radiology, Duke University School of Medicine | NLST | Feb 28, 2023 | NLST-1020 |
Rad-Ens: Texture-based Radiomics Machine Learning and Deep Learning Ensemble for COPD Classification using CT Images | Miranda Kirby | Toronto Metropolitan University | NLST | Feb 28, 2023 | NLST-1019 |
Building a POMDP for recommending lung cancer screening procedures | Maya Bedge | Stanford University | NLST | Feb 27, 2023 | NLST-1018 |
Longitudinal study on the growth and evolution of SSN | Li Zhang | National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College | NLST | Feb 21, 2023 | NLST-1016 |
Low dose CT image denoising using a coupled generative adversarial network with unpaired data | Fei Chen | Xidian University | NLST | Feb 21, 2023 | NLST-1017 |
Comparison of multi-cancer early detection with LDCT in a lung cancer screening population | Jonathan Heiss | GRAIL, LLC | NLST | Feb 8, 2023 | NLST-1014 |
Deep learning model for discriminating early lung cancer from TB nodule and risk assessment management for lung nodule | SANDRA VINAY KUMAR | National Institute of Technology ,Karnataka | NLST | Feb 8, 2023 | NLST-1013 |
Projecting the impact of multicancer early detection tests on stage at diagnosis: a modeling approach | JANE LANGE | OREGON HEALTH AND SCIENCES UNIVERSITY | NLST | Jan 30, 2023 | NLST-1012 |
lung nodule segmentation and shape analysis | DI XU | University of California, Los Angeles | NLST | Jan 18, 2023 | NLST-1011 |
Lung Cancer Screening and Risk Assessment | Edward Tan | iota Medtech | NLST | Jan 13, 2023 | NLST-1008 |
Risk assessment of individuals with screen-detected lung nodules | Stephen Duffy | Queen Mary University of London | NLST | Jan 12, 2023 | NLST-1007 |
Deep Learning for Analysis of Pulmonary Nodules at Low-Dose CT | Yajun Wu | Shenzhen Yorktal Digital Medical Imaging Technologies Company Ltd, China | NLST | Jan 10, 2023 | NLST-1005 |
Radiographic health assessment of cardiovascular disease risk, smoking damage, and lung cancer screening. | Richard Du | Detect Medical Technology Limited | NLST | Dec 12, 2022 | NLST-996 |
Non-lung cancer incidence in NLST | Ellen Chang | GRAIL, LLC | NLST | Dec 8, 2022 | NLST-995 |
Medical Image Based Prognosis for Lung Cancer Patients | Hongda Zhang | Nanjing University | NLST | Dec 8, 2022 | NLST-994 |