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 |
|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| Non-lung cancer incidence in NLST | Ellen Chang | GRAIL, LLC | NLST | Dec 8, 2022 | NLST-995 |
| Machine Learning with Low Dose CT Data | Bennett Landman | Vanderbilt University | NLST | Dec 8, 2022 | NLST-993 |
| What does the National Lung Cancer Screening Trial imply for the effectiveness of computerized tomography screening in the US population? | Issa Dahabreh | Harvard University | NLST | Nov 2, 2022 | NLST-983 |
| Deep learning for indirect and direct cardiovascular risk estimation from ungated chest CT | Piotr Slomka | Cedars-Sinai | NLST | Nov 1, 2022 | NLST-981 |
| Development of CAD for lung nodule screening | Naïm Jalal | GE HEALTHCARE | NLST | Oct 27, 2022 | NLST-977 |
| Time Lag to Benefit: A Systematic Review and Meta-Analysis of Lung Cancer Screening Trials | Alison Rustagi | University of California, San Francisco | NLST | Oct 18, 2022 | NLST-972 |
| Machine Learning Analysis for Lung Cancer Progression | Anderson Nnewihe | Johnson & Johnson Enterprise Innovation, Inc. | NLST | Oct 18, 2022 | NLST-973 |
| Comparative analysis of the cost-effectiveness and implementation of lung cancer screening with LDCT in the US and EU | Tanya Rajabi | Semmelweis University | NLST | Oct 11, 2022 | NLST-968 |
| Lung cancer risk assessment | Adam Vasserstrom | Nucleix | NLST | Oct 11, 2022 | NLST-965 |