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 |
|---|---|---|---|---|---|
| Federated Validation of Lung Nodule Detection Algorithms. | Brian Ayers | Gesund AI | NLST | Jan 18, 2022 | NLST-869 |
| Pulmonary Adenocarcinoma of Low Malignant Potential | Eric Burks | Boston University School Of Medicine | NLST | Jan 7, 2022 | NLST-867 |
| Lower level of education matters when it comes to compliance to lung cancer screening | Akeel Alali | King Abdullah International Medical Research Center’s (KAIMRC) and King Saud bin Abdulaziz university for health sciences | NLST | Nov 30, 2021 | NLST-856 |
| The benefits and harms of lung cancer screening in Florida | Dr. Yi Guo | University of Florida Board of Trustees | NLST | Nov 30, 2021 | NLST-857 |
| Health economic evaluation for lung cancer screening alone or combined with screening for emphysema and coronary calcium scoring | Hendrik Koffijberg | University of Twente | NLST | Nov 15, 2021 | NLST-852 |
| Analysis of screening technology performance and patient demographics to improve blood-based early lung cancer detection | Toumy Guettouche | Mercy BioAnalytics | NLST | Nov 15, 2021 | NLST-851 |
| Modified Lung-RADS classification incorporating nodule risk calculator. | Alain Tremblay | THE GOVERNORS OF THE UNIVERSITY OF CALGARY | NLST | Nov 5, 2021 | NLST-849 |
| Validation of Automated Lung Nodule Detection, Segmentation, and Matching | Samuel Peterson | VIDA Diagnostics, Inc | NLST | Nov 3, 2021 | NLST-848 |
| Self-selection and decision to participate in clinical trials: evidence from screening trials | Hualong Diao | Stony Brook University | NLST | Nov 3, 2021 | NLST-845 |
| Accurate malignant risk estimation of pulmonary nodules using deep learning | Colin Jacobs | Radboud University Medical Center | NLST | Oct 19, 2021 | NLST-846 |
| Evaluation of Bach lung cancer risk prediction model in a lung screening cohort | Peter Bach | Delfi Diagnostics | NLST | Sep 28, 2021 | NLST-842 |
| Optimizing Lung Cancer Screening Nodule Evaluation | Mark Hammer | Brigham and Women's Hospital | NLST | Sep 24, 2021 | NLST-838 |
| Visual assessment of emphysema on low dose chest CT and risk of lung cancer | Jihang Kim | Seoul National University Bundang Hospital | NLST | Sep 14, 2021 | NLST-836 |
| Opportunistic AI - detection of spinal anomalies indicative of osteoporosis on routine imaging | Ronen Gordon | Zebra Medical Vision Ltd. | NLST | Sep 14, 2021 | NLST-834 |
| Deep Learning Pulmonary Nodule Classification | Yitzi Pfeffer | IMedis-AI LTD. | NLST | Sep 14, 2021 | NLST-832 |
| Lung Nodule Detection System | Rudolfs Latisenko | Thirona BV | NLST | Sep 14, 2021 | NLST-831 |
| Lung Screening Using Data Synthesis and Explainable Artificial Intelligence | Matthew Hamilton | Memorial University of Newfoundland | NLST | Sep 14, 2021 | NLST-830 |
| Generalization of deep learning based processing pipelines for lung examinations | Pedro Rodrigues | Philips Medical Systems Technologies, Ltd | NLST | Aug 6, 2021 | NLST-828 |
| Invasive Procedures and Associated Complications Following Initial Lung Cancer Screening in a National Cohort of Veterans. | Eduardo Nunez | Boston University | NLST | Jul 26, 2021 | NLST-822 |
| Cancer Detec - Lung Cancer Diagnosis Support System | Nelson Faria | Polytechnic Institute of Cávado and Ave | NLST | Jul 22, 2021 | NLST-818 |