NLST Publications
Here you can browse the complete list of publications for NLST
Title | PubMed | Authors | Journal | Year | Studies |
---|---|---|---|---|---|
Chr15q25 genetic variant (rs16969968) independently confers risk of lung cancer, COPD and smoking intensity in a prospective study of high-risk smokers. | 33419953 | Hopkins RJ, Duan F, Gamble GD, Chiles C, Cavadino A, Billings P, Aberle D, Young RP | Thorax | 2021 | NLST |
Using Prediction Models to Reduce Persistent Racial and Ethnic Disparities in the Draft 2020 USPSTF Lung Cancer Screening Guidelines. | 33399825 | Landy R, Young CD, Skarzynski M, Cheung LC, Berg CD, Rivera MP, Robbins HA, Chaturvedi AK, Katki HA | J Natl Cancer Inst | 2021 | NLST |
Estimating the Impact of Extended Delay to Surgery for Stage I Non-small-cell Lung Cancer on Survival. | 33630435 | Mayne NR, Elser HC, Darling AJ, Raman V, Liou DZ, Colson YL, D'Amico TA, Yang CJ | Ann Surg | 2021 | NLST |
Lung Cancer Screening With Low Dose Computed Tomography in Patients With and Without Prior History of Cancer in the National Lung Screening Trial. | 33581343 | Henderson LM, Durham DD, Tammemägi MC, Benefield T, Marsh MW, Rivera MP | J Thorac Oncol | 2021 | NLST |
Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening. | 33574075 | Schreuder A, Jacobs C, Lessmann N, Broeders MJM, Silva M, Išgum I, de Jong PA, Sverzellati N, Prokop M, Pastorino U, Schaefer-Prokop CM, van Ginneken B | Eur Respir J | 2021 | NLST |
Lung cancer prediction by Deep Learning to identify benign lung nodules. | 33556604 | Heuvelmans MA, van Ooijen PMA, Ather S, Silva CF, Han D, Heussel CP, Hickes W, Kauczor HU, Novotny P, Peschl H, Rook M, Rubtsov R, von Stackelberg O, Tsakok MT, Arteta C, Declerck J, Kadir T, Pickup L, Gleeson F, Oudkerk M | Lung Cancer | 2021 | NLST |
Do competing causes of mortality contribute to overdiagnosis in lung cancer screening? | 33445120 | Durham DD, Croswell JM, Marcus PM | Lung Cancer | 2021 | NLST |
Clinical Significance of Lung-RADS Category 3 Lesions in the National Lung Screening Trial. | 33722708 | Han DH, Duan F, Wu Y, Goo JM, Kim HY, Patz EF | J Thorac Oncol | 2021 | NLST |
Deep Learning to Estimate Biological Age From Chest Radiographs. | 33744131 | Raghu VK, Weiss J, Hoffmann U, Aerts HJWL, Lu MT | JACC Cardiovasc Imaging | 2021 | NLST, PLCO |
Patient Perspectives on the Risk-Based NLST Outcomes Tool for Lung Cancer Screening. | 33686613 | Roberts MC, Seaman EL, Klein WMP, Ferrer RA, Han PKJ, Katki HA, Land SR, Liotta RA, Nations JA, Peterson PG | J Cancer Educ | 2021 | NLST |
Microsimulation modeling of extended annual CT screening among lung cancer cases in the National Lung Screening Trial. | 33866117 | Schreuder A, Mets OM, Schaefer-Prokop CM, Jacobs C, Prokop M | Lung Cancer | 2021 | NLST |
High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels. | 33836677 | Chillakuru YR, Kranen K, Doppalapudi V, Xiong Z, Fu L, Heydari A, Sheth A, Seo Y, Vu T, Sohn JH | BMC Med Imaging | 2021 | NLST |
Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT. | 34003056 | Venkadesh KV, Setio AAA, Schreuder A, Scholten ET, Chung K, W Wille MM, Saghir Z, van Ginneken B, Prokop M, Jacobs C | Radiology | 2021 | NLST |
Lung-RADS Version 1.0 versus Lung-RADS Version 1.1: Comparison of Categories Using Nodules from the National Lung Screening Trial. | 33944631 | Kastner J, Hossain R, Jeudy J, Dako F, Mehta V, Dalal S, Dharaiya E, White C | Radiology | 2021 | NLST |
Estimating heterogeneous survival treatment effects of lung cancer screening approaches: A causal machine learning analysis. | 34157399 | Hu L, Lin JY, Sigel K, Kale M | Ann Epidemiol | 2021 | NLST |
Impact of Low-Dose Computed Tomography Screening for Primary Lung Cancer on Subsequent Risk of Brain Metastasis. | 34091050 | Su CC, Wu JT, Neal JW, Popat RA, Kurian AW, Backhus LM, Nagpal S, Leung AN, Wakelee HA, Han SS | J Thorac Oncol | 2021 | NLST |
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset. | 34089072 | Yoo H, Lee SH, Arru CD, Doda Khera R, Singh R, Siebert S, Kim D, Lee Y, Park JH, Eom HJ, Digumarthy SR, Kalra MK | Eur Radiol | 2021 | NLST |
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning. | 33895622 | Trajanovski S, Mavroeidis D, Swisher CL, Gebre BG, Veeling BS, Wiemker R, Klinder T, Tahmasebi A, Regis SM, Wald C, McKee BJ, Flacke S, MacMahon H, Pien H | Comput Med Imaging Graph | 2021 | NLST |
Development and Validation of a Risk Prediction Model for Second Primary Lung Cancer. | 34255071 | Choi E, Sanyal N, Ding VY, Gardner RM, Aredo JV, Lee J, Wu JT, Hickey TP, Barrett B, Riley TL, Wilkens LR, Leung AN, Le Marchand L, Tammemägi MC, Hung RJ, Amos CI, Freedman ND, Cheng I, Wakelee HA, Han SS | J Natl Cancer Inst | 2021 | NLST, PLCO |
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. | 34264825 | Balagurunathan Y, Beers A, Mcnitt-Gray M, Hadjiiski L, Napel S, Goldgof D, Perez G, Arbelaez P, Mehrtash A, Kapur T, Yang E, Moon JW, Perez GB, Delgado-Gonzalo R, Farhangi MM, Amini AA, Ni R, Feng X, Bagari A, Vaidhya K, Veasey B, Safta W, Frigui H,… | IEEE Trans Med Imaging | 2021 | NLST |