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 |
|---|---|---|---|---|---|
| Joint segmentation and registration of lung nodules | Feng Shixiang | South China University of Technology | NLST | Nov 13, 2023 | NLST-1158 |
| Lung Function Prediction Project Based on CT Images | boyu zhang | Artificial Intelligence Research and Development Center of Zhuhai Sanmed BIOTECH Ltd. | NLST | Nov 2, 2023 | NLST-1153 |
| Deep Learning Model Predicting Patient Prognosis based on Lung Cancer Pathological and Radiological Images | tian lin | Harbin Medical University | NLST | Nov 2, 2023 | NLST-1154 |
| Association between BMI and OS with immune checkpoint inhibitor therapy for SCLC | Sinbad Xia | The First Affiliated Hospital, School of Medicine, Zhejiang University | NLST | Oct 31, 2023 | NLST-1150 |
| Advancing Lung Cancer Detection with AI: Screening Models and Risk Factor Analysis | IVAN MACIA | Fundación Centro de Tecnologías de Interacción Visual y Comunicaciones - Vicomtech | NLST | Oct 31, 2023 | NLST-1149 |
| Causal Estimators in Meta-analysis with Missing Data | Ruofan Bie | Brown University | NLST | Oct 24, 2023 | NLST-1146 |
| Risk Profile Assessment to Aid in Patient Selection Criteria for a Novel Lung Tissue Excision Tool in Lung Cancer Diagnosis and Intervention | Lance Black | Prana Thoracic | NLST | Oct 19, 2023 | NLST-1142 |
| Towards Explainable Deep Learning Model for Lung Nodule Diagnosis | Chenglong Wang | East China Normal University | NLST | Oct 19, 2023 | NLST-1141 |
| Rural Lung Cancer Screening Patients and Participation in Recommended Diagnostic Follow-Up | Amanda McCoy | Lincoln Memorial University Debusk College of Osteopathic Medicine | NLST | Oct 10, 2023 | NLST-1136 |
| Development of lung cancer risk scores for determination of risk adapted screening intervals | Rudolf Kaaks | German Cancer Research Center (DKFZ) | NLST | Oct 10, 2023 | NLST-1134 |
| Addressing equity in lung cancer early detection through identification of high risk clinical and radiographic features in minority and disadvantaged patients. | Ameen Salahudeen | The Board of Trustees of the University of Illinois on behalf of The University of Illinois at Chicago. | NLST | Oct 3, 2023 | NLST-1125 |
| Lung Cancer Research | Md. Sultan Moheuddin | East West University | NLST | Oct 3, 2023 | NLST-1131 |
| Deep Learning Algorithm for Lung Adenocarcinoma Subtype Recognition Based on Multimodal Data | Ying Ji | Beijing Chao-Yang Hospital, Capital Medical University | NLST | Oct 3, 2023 | NLST-1133 |
| Incidental Finding of Coronary Calcium (CAC) in National Lung Screening Trial participants: Its Distribution and Potential Implication | Ilana Gareen | School of Public Health, Brown University | NLST | Sep 28, 2023 | NLST-1129 |
| Cancer risk after radiation exposure from low dose lung cancer screening | Soon Ho Yoon | Seoul National University Hospital | NLST | Sep 28, 2023 | NLST-1127 |
| Lung cancer classification on radiology reports using Natural language processing | Cyrille KESIKU | University of Deusto | NLST | Sep 19, 2023 | NLST-1124 |
| Evaluation and Optimization of Lung Cancer Screening Effectiveness Using the NLST Dataset | Ted Li | China Changzhou Lunghealth Medical Equipment Co., Ltd. | NLST | Sep 18, 2023 | NLST-1123 |
| Reevaluating the Use of Race and Ethnicity in Medical Risk Assessments | Sharad Goel | Harvard University | NLST | Sep 5, 2023 | NLST-1121 |
| Comparability of heterogeneity of treatment effect findings from two randomized clinical trials datasets: application of machine-learning based algorithms | Motohiko Adomi | Harvard T.H. Chan School of Public Health | NLST | Sep 5, 2023 | NLST-1119 |
| Malignant risk prediction model was constructed based on image omics. | YUE LI | Guang'anmen Hospital, China Academy of Chinese Medical Sciences | NLST | Sep 5, 2023 | NLST-1117 |