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 |
|---|---|---|---|---|---|
| Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer | Liangrui Pan | Hunan university | NLST | May 9, 2023 | NLST-1057 |
| Volume-Based Consolidation-to-Tumor Ratio Predicting the Invasiveness of Part-Solid Lung Cancers by Using CT | he qiangfeng | Linfen Central Hospital | NLST | May 2, 2023 | NLST-1053 |
| Non-invasive multiomics anlaysis based lung cancer diagnosis | Mavis Mu | Key Laboratory of Molecular Imaging, Chinese Academy of Science | NLST | Apr 24, 2023 | NLST-1051 |
| Developing an Accurate and Interpretable Risk-Based Model for Lung Cancer Screening | Yi Luo | Moffitt Cancer Center | NLST | Apr 19, 2023 | NLST-1050 |
| Study on classification of pulmonary nodules based on Lung-RADS standard | Zhiwei Deng | Zhengzhou University | NLST | Apr 19, 2023 | NLST-1047 |
| Feature Selection of Non-Small Cell Lung Cancer Nodules | Jiaqi Ou | School of Software Engineering, Chengdu University of Information Technology | NLST | Apr 13, 2023 | NLST-1045 |
| Weakly Supervised Pulmonary Nodule Detection | Yan Yan | Xiamen University | NLST | Apr 13, 2023 | NLST-1041 |
| Retrospective Evaluation of CT Based Biomarkers on Cancer and Non-Cancer Related Patient Outcomes | Steven Rothenberg | The University of Alabama at Birmingham | NLST | Apr 13, 2023 | NLST-1044 |
| Intelligent diagnosis system based on artificial intelligence for malignancy grading of lung nodule CT images | zhe quan | Zhengzhou University | NLST | Apr 13, 2023 | NLST-1043 |
| Development of a pathological image analysis and cell classification pipeline with convolutional neural network | Honglei Zhang | Yunnan University of Traditional Chinese Medicine | NLST | Mar 30, 2023 | NLST-1036 |
| AI-based tools to support decision-making in lung cancer screening | Johanna Topalis | Department of Radiology, University Hospital, LMU Munich | NLST | Mar 28, 2023 | NLST-1034 |
| Causal Counterfactual visualisation for human causal decision making – A case study in healthcare | xujiong ye | University of Lincoln | NLST | Mar 28, 2023 | NLST-1033 |
| The Relationship between lung cancer and regular screenings | Abbie Anderson | Des Moines Area Community College | NLST | Mar 28, 2023 | NLST-1031 |
| Multimodal self-supervised medical image segmentation | xin lin | Hangzhou Dianzi University | NLST | Mar 21, 2023 | NLST-1029 |
| Imaging Biomarkers and Lung Cancer Development and Mortality | DAVID WILSON | University of pittsburgh | NLST | Mar 21, 2023 | NLST-1025 |
| Quantifying cancer screening overdiagnosis using synthetic excess incidence | Stuart Baker | National Cancer Institute | NLST | Mar 20, 2023 | NLST-1026 |
| 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 |
| A Graph-transformer for Lung Subtype Classification on Whole Slide Images | Yuxin Kang | Northwest University | NLST | Mar 8, 2023 | NLST-1021 |
| Virtual NLST | Joseph Lo | Center for Virtual Imaging Trials (CVIT), Dept. of Radiology, Duke University School of Medicine | NLST | Feb 28, 2023 | NLST-1020 |