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 |
|---|---|---|---|---|---|
| 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 |
| Machine Learning with Low Dose CT Data | Bennett Landman | Vanderbilt University | NLST | Dec 8, 2022 | NLST-993 |
| Development of anti-lung cancer screening system based on target recognition and natural language | Yuan Dan | Wuhan University of Science and Technology | NLST | Dec 6, 2022 | NLST-991 |
| Whole slide images based cancer survival prediction using multiple instance learning with graph neural networks | Weijia Zhang | Southeast University | NLST | Dec 5, 2022 | NLST-988 |
| Using delta radiomic features to construct a model for predicting growth and prognosis of persistent pulmonary subsolid nodules. | Linyu Wu | The First Affiliated Hospital of Zhejiang Chinese Medical University | NLST | Nov 30, 2022 | NLST-987 |
| Association between Changes among Multiple Rounds Chest X-ray and Lung Cancer Risk in Two Screening Trials | Ya Liu | Tianjin Medical University Cancer Institute and Hospital | NLST | Nov 1, 2022 | NLST-982 |
| Deep learning for indirect and direct cardiovascular risk estimation from ungated chest CT | Piotr Slomka | Cedars-Sinai | NLST | Nov 1, 2022 | NLST-981 |
| Survival analysis based on pathological images of lung cancer patients | xiaofei xia | Anhui University | NLST | Oct 19, 2022 | NLST-976 |
| Machine Learning Analysis for Lung Cancer Progression | Anderson Nnewihe | Johnson & Johnson Enterprise Innovation, Inc. | NLST | Oct 18, 2022 | NLST-973 |
| Early diagnosis of lung cancer based on imbalance class data | Xiaowen Yang | Chongqing University of Posts and Telecommunications | NLST | Oct 18, 2022 | NLST-967 |
| Lung Nodule Malignancy Classification Based On Time-Series Model | Chaoran Jia | Dalian University of Technology | NLST | Oct 18, 2022 | NLST-969 |
| 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 |
| Study on the Evolution and Diagnostic Model of Early Stage Lung Cancer | Ning Xiao | Shanxi University of Finance and Economics | NLST | Sep 29, 2022 | NLST-964 |