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 |
|---|---|---|---|---|---|
| Early Detection and Prognosis of Lung Cancer | Yun Li | UNC Chapel Hill | NLST | Dec 2, 2016 | NLST-262 |
| Statistical models to predict future subject’s lung cancer risk: application to NLST and PLCO data | Ping Hu | NCI | NLST | Nov 21, 2016 | NLST-259 |
| Clinical Decision Support System (CDSS) and self-learning tool for radiologists for Lung CT using Content Based Image Retrieval (CBIR). | Sudipta Mukhopadhyay | Indian Institute of Technology Kharagpur, India | NLST | Nov 10, 2016 | NLST-255 |
| Longitudinal Deep Radiomic Signatures for Lung Cancer Prognosis and Treatment Response Prediction | Nicolas Chapados | Imagia Inc. | NLST | Nov 10, 2016 | NLST-256 |
| Tumor early detection and prognosis | Hongtu Zhu | University of Texas MD Anderson Cancer Center | NLST | Nov 3, 2016 | NLST-254 |
| Development and evaluation of a retrieval system for a medical image database | Georg Langs | ContextFlow GmbH | NLST | Oct 27, 2016 | NLST-253 |
| Validation of Emphysema in NLST CT scans | david wilson | University of Pittsburgh | NLST | Oct 18, 2016 | NLST-252 |
| Development of CADx for pulmonary nodules | Lyndsey Pickup | Optellum Ltd. | NLST | Oct 13, 2016 | NLST-251 |
| Longitudinal assessment of the lung images | Yul Kang | Columbia University | NLST | Oct 13, 2016 | NLST-249 |
| Outcomes among patients with self-reported occupational exposures in the NLST | Christopher Donatelli | University Hospitals Cleveland Medical Center | NLST | Oct 13, 2016 | NLST-250 |
| Cancer Risk with New Nodules | Paul Pinsky | NCI | NLST | Oct 7, 2016 | NLST-248 |
| Cancer detection using deep learning | Hunter Park | Innovation Dx | NLST | Oct 7, 2016 | NLST-247 |
| LDCT Cardiovascular Automatic Biomarker Screening Study | Eldad Elnekave | Zebra Medical Vision, LTD | NLST | Oct 4, 2016 | NLST-246 |
| Expert Witness, Medical Malpractice Case for Missed Lung Mass | Daniel Pennington | Mercy Medical Center North Iowa | NLST | Sep 26, 2016 | NLST-244 |
| Lung cancer diagnosis in real time using deep learning AI techniques over cloud | Reddy Reddy | MCE | NLST | Sep 26, 2016 | NLST-242 |
| The Relationship Of Cancer Characteristics And Patient Outcome With Time To Lung Cancer Diagnosis After An Abnormal Screening CT | Sushilkumar Sonavane | University of Alabama at Birmingham | NLST | Sep 19, 2016 | NLST-243 |
| Improved lung cancer screening with cognitive computing | Shawn Stapleton | Philips Research North America | NLST | Sep 16, 2016 | NLST-241 |
| A machine learning approach for lung nodule classification. | Alexander Kagen | Mount Sinai Hospital System | NLST | Sep 2, 2016 | NLST-239 |
| Automatic Lung Nodule Detection | Paul Sajda | Columbia University | NLST | Aug 23, 2016 | NLST-236 |
| Regions-of-Interest Detection in big histopathological images | Li Sulimowicz | University of Texas at Arlington | NLST | Aug 22, 2016 | NLST-237 |