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Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

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
Reconstruction of 3D Thoracic CT Volumes from Single Plane Thoracic CTs Jaykar Panchmatia Rothman Institute at Thomas Jefferson University Hospital NLST Oct 17, 2020 NLST-718
Reconstructing volumetric Computed Tomography data from 2D X-ray projections with deep learning Tianyu Han Physics of Molecular Imaging Systems, Experimental Molecular Imaging, RWTH Aachen University NLST Oct 13, 2020 NLST-717
Incidence of Second Primary Lung Cancer in Patients with a History of Head and Neck Cancer John Cramer Karmanos Cancer Institute NLST Oct 8, 2020 NLST-714
Automated Coronary Calcium Screening from Chest CT Ryan Chamberlain Minnesota HealthSolutions NLST Oct 8, 2020 NLST-716
Detecting, Identifying, Grouping and Analysing All Existing Diseases in Large-Scale Chest CT Database with Deep Learning Le Lu PAII Inc. NLST Sep 22, 2020 NLST-710
Transportation of Diagnostic Accuracy Measures to a New Target Population Bing Li Brown University NLST Sep 20, 2020 NLST-712
3D Convolutional Neural Network for Classifying Lung Nodule Malignancy Albert Hsiao UC San Diego NLST Sep 16, 2020 NLST-706
DEEP LEARNING USING CHEST COMPUTED TOMOGRAPHY FOR THE DETECTION AND DIAGNOSIS OF LUNG CANCER Jeremy Burt Medical University of South Carolina NLST Sep 12, 2020 NLST-709
Smart Bronchoscopy James Shen Noah Medical Corporation NLST Sep 12, 2020 NLST-708
Deep Learning for Prediction of Progression and Overall Survival of Lung Cancer using CT Examinations Brian Huang University of Pennsylvania NLST Aug 18, 2020 NLST-705
Development of Ultra High Resolution CT for Differential Diagnosis of Lung Nodules found using Low Dose CT Rasika Rajapakshe BC Cancer Agency Sindi Ahluwalia Hawkins Centre for the Southern Interior NLST Aug 18, 2020 NLST-703
Development of deep-learning software for the detection, classification, and malignancy risk assessment of lung nodules on LDCT Kenneth Tang AIRdx NLST Aug 18, 2020 NLST-702
Subgroup Identification based on Lung Cancer Risk Prediction Model Jon Steingrimsson Brown University NLST Aug 5, 2020 NLST-701
Blood-based biomarkers as a complement to CT screening for lung cancer Edwin Ostrin University of Texas MD Anderson Cancer Center NLST Jul 29, 2020 NLST-698
Deep Learning Reconstruction of Chest CT Volumes from Single or Multi View Chest Radiographs Nadav Shapira University of Pennsylvania NLST Jul 24, 2020 NLST-697
DeepCoronaScan Christophe Zimmer Institut Pasteur Paris NLST Jul 21, 2020 NLST-696
Effect of lung morphology on particle deposition in the airways Uduak George San Diego State University NLST Jul 17, 2020 NLST-694
Prognostic implication of thoracic muscle and visceral fat in chest CT image in lung cancer screening participants Soon Ho Yoon Seoul National University Hospital NLST Jul 17, 2020 NLST-695
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images Mohammad Soltanieh-ha Boston University NLST Jul 13, 2020 NLST-692
Deep learning model using multi-modal data for lung cancer survival prediction yingying zhu University of Texas, Arlington NLST Jul 7, 2020 NLST-684