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 |
|---|---|---|---|---|---|
| AI-Enhanced Exploration of Lung Cancer Risk Factors | Antonio Jesus Diaz Honrubia | Universidad Politécnica de Madrid | NLST | Jun 17, 2024 | NLST-1273 |
| SynapticEdge: Deep learning-based diagnostic tool for lung cancer pathology images | Oke Dimas Asmara | University of Groningen | NLST | Jun 17, 2024 | NLST-1272 |
| AI-Enhanced Lung Cancer Risk Prediction and Nodule Detection | Mohammad Monir Uddin | North South University | NLST | Jun 17, 2024 | NLST-1270 |
| Design and development of an AI algorithm to predict recurrence and treatment response in NSCLC patients from CT and pathology images | Raffaella Massafra | Istituto Tumori "Giovanni Paolo II" I.R.C.C.S. | NLST | Jun 17, 2024 | NLST-1269 |
| Automated classification/ detection of Incidental Findings in LCS scans | Colin Jacobs | Radboud University Medical Center | NLST | Jun 17, 2024 | NLST-1268 |
| Investigating Potential of Ethnicity Information Embedded in Medical Images | Rasika Rajapakshe | BC Cancer, part of the Provincial Health Services Authority | NLST | Jun 17, 2024 | NLST-1264 |
| Analyzing the Utility of Smoking Cessation Requirements in the Morbidity and Mortality of Current and Former Smokers Undergoing Lung Resection | Robert Van Haren | University of Cincinnati Medical Center | NLST | Jun 17, 2024 | NLST-1262 |
| AI-based multi-dimensional characterization of pulmonary nodules to improve lung cancer screening | Francesco Sforazzini | Siena Imaging SRL | NLST | May 29, 2024 | NLST-1257 |
| Predicting mortality risk using cardiac LDCT regions | chen yingchi | National Yang Ming Chiao Tung University | NLST | May 16, 2024 | NLST-1255 |
| Using foundation model for cardiovascular disease detection. | Xiaofeng Yang | Emory University | NLST | May 16, 2024 | NLST-1249 |
| Nodule risk assessment | Scott Morris | Maverix Medical | NLST | May 16, 2024 | NLST-1252 |
| Underlying risk of developing and dying from lung cancer | Louise Henderson | University of North Carolina at Chapel Hill | NLST | May 16, 2024 | NLST-1248 |
| Comparing Non-Malignancy Rate Definitions Utilizing the NLST Cohort | Christopher Caruso | University of Pennsylvania | NLST | May 16, 2024 | NLST-1245 |
| 5DCT Radiation Oncology | RICKY SAVJANI | University of California Los Angeles | NLST | Apr 29, 2024 | NLST-1240 |
| Development of a Woman-Specific Risk Model for Participation in Lung Cancer CT Screening | Marie-Pierre Revel | APHP | NLST | Apr 29, 2024 | NLST-1237 |
| From clinical trials to real world practice: health status of community-dwelling veterans receiving lung cancer screening compared to randomized trial participants | Alison Rustagi | University of California, San Francisco | NLST | Apr 18, 2024 | NLST-1236 |
| Evaluating the Cost-Effectiveness of the Sybil Model for Lung Nodule Surveillance in Cancer Screening | Kei Chuen Ma | Massachusetts Institute of Technology | NLST | Apr 18, 2024 | NLST-1235 |
| Screening lung cancer from CT scans through deep learning and assistive AI | Amulya Mathur | Carnegie Mellon University | NLST | Apr 2, 2024 | NLST-1225 |
| Probabilistic Analysis of NLST data and prediction | Jyoti Bhadana | University of Alberta | NLST | Apr 2, 2024 | NLST-1224 |
| Predicting Pulmonary Function Abnormalities with a Texture-Based Quantification of Normal Lung Parenchyma in Chest Computed Tomography | Alysson Carvalho | ID'Or Institute Research and Education | NLST | Apr 2, 2024 | NLST-1223 |