NLST Publications
Here you can browse the complete list of publications for NLST
| Title | PubMed | Authors | Journal | Year | Studies |
|---|---|---|---|---|---|
| Evidence for Expanding Invasive Mediastinal Staging for Peripheral T1 Lung Tumors. | 32599066 | DuComb EA, Tonelli BA, Tuo Y, Cole BF, Mori V, Bates JHT, Washko GR, San José Estépar R, Kinsey CM | Chest | 2020 | NLST |
| Quantitative Emphysema on Low-Dose CT Imaging of the Chest and Risk of Lung Cancer and Airflow Obstruction: An Analysis of the National Lung Screening Trial. | 33326807 | Labaki WW, Xia M, Murray S, Hatt CR, Al-Abcha A, Ferrera MC, Meldrum CA, Keith LA, Galbán CJ, Arenberg DA, Curtis JL, Martinez FJ, Kazerooni EA, Han MK | Chest | 2020 | NLST |
| Racial disparities in occupational risks and lung cancer incidence: Analysis of the National Lung Screening Trial. | 33301822 | Juon HS, Hong A, Pimpinelli M, Rojulpote M, McIntire R, Barta JA | Prev Med | 2020 | NLST |
| Lung cancer screening by low-dose computed tomography: a cost-effectiveness analysis of alternative programmes in the UK using a newly developed natural history-based economic model. | 33292800 | Griffin E, Hyde C, Long L, Varley-Campbell J, Coelho H, Robinson S, Snowsill T | Diagn Progn Res | 2020 | NLST |
| Incidence Lung Cancer after a Negative CT Screening in the National Lung Screening Trial: Deep Learning-Based Detection of Missed Lung Cancers. | 33276433 | Cho J, Kim J, Lee KJ, Nam CM, Yoon SH, Song H, Kim J, Choi YR, Lee KH, Lee KW | J Clin Med | 2020 | NLST |
| Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. | 32739769 | Yao J, Zhu X, Jonnagaddala J, Hawkins N, Huang J | Med Image Anal | 2020 | NLST |
| Lung Nodule Malignancy Classification Based ON NLSTx Data | Benjamin Veasey , Medical Imaging Lab, University of Lousiville, Louisville, KY, USA , M. Mehdi Farhangi , U.S. Food and Drug Administration, Silver Spring, MD, USA , Hichem Frigui , Multimedia Lab, University of Lousiville, Louisville, KY, USA , Ju… | IEEE | 2020 | NLST | |
| Lung Nodule Malignancy Prediction From Longitudinal CT Scans With Siamese Convolutional Attention Networks | Benjamin P. Veasey , University of Louisville, Louisville, KY, USA , Justin Broadhead , University of Louisville, Louisville, KY, USA , Michael Dahle , University of Louisville, Louisville, KY, USA , Albert Seow , University of Louisville, Louisvill… | IEEE | 2020 | NLST | |
| A Comparative Modeling Analysis of Risk-Based Lung Cancer Screening Strategies. | 31566216 | Ten Haaf K, Bastani M, Cao P, Jeon J, Toumazis I, Han SS, Plevritis SK, Blom EF, Kong CY, Tammemägi MC, Feuer EJ, Meza R, de Koning HJ | J Natl Cancer Inst | 2020 | NLST, PLCO |
| Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols. | 32043947 | van Velzen SGM, Lessmann N, Velthuis BK, Bank IEM, van den Bongard DHJG, Leiner T, de Jong PA, Veldhuis WB, Correa A, Terry JG, Carr JJ, Viergever MA, Verkooijen HM, Išgum I | Radiology | 2020 | NLST |
| Coronary artery calcium scoring: Can we do better? | Sanne G. M. Van velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Išgum | Medical Imaging 2020 | 2020 | NLST | |
| Semi-supervised Machine Learning with MixMatch and Equivalence Classes. | 34456459 | Hansen CB, Nath V, Gao R, Bermudez C, Huo Y, Sandler KL, Massion PP, Blume JD, Lasko TA, Landman BA | Lect Notes Monogr Ser | 2020 | NLST |
| Rates of positive lung cancer screening examinations in academic versus community practice. | 32953524 | Henderson LM, Bacchus L, Benefield T, Huamani Velasquez R, Rivera MP | Transl Lung Cancer Res | 2020 | NLST |
| Multi-path x-D Recurrent Neural Networks for Collaborative Image Classification. | 32863584 | Gao R, Huo Y, Bao S, Tang Y, Antic SL, Epstein ES, Deppen S, Paulson AB, Sandler KL, Massion PP, Landman BA | Neurocomputing | 2020 | NLST |
| Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. | 32658721 | Paul R, Schabath M, Gillies R, Hall L, Goldgof D | Comput Biol Med | 2020 | NLST |
| Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening. | 32601340 | Pérez-Morales J, Tunali I, Stringfield O, Eschrich SA, Balagurunathan Y, Gillies RJ, Schabath MB | Sci Rep | 2020 | NLST |
| Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection. | 34040274 | Yang Y, Gao R, Tang Y, Antic SL, Deppen S, Huo Y, Sandler KL, Massion PP, Landman BA | Proc SPIE Int Soc Opt Eng | 2020 | NLST |
| Long-term cancer risk associated with lung nodules observed on low-dose screening CT scans. | 31812129 | Pinsky P, Gierada DS | Lung Cancer | 2020 | NLST |
| Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances. | 30789954 | Schreuder A, Jacobs C, Gallardo-Estrella L, Prokop M, Schaefer-Prokop CM, van Ginneken B | PLoS ONE | 2019 | NLST |
| Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management. | 30066248 | van Riel SJ, Jacobs C, Scholten ET, Wittenberg R, Winkler Wille MM, de Hoop B, Sprengers R, Mets OM, Geurts B, Prokop M, Schaefer-Prokop C, van Ginneken B | Eur Radiol | 2019 | NLST |