NLST Publications
Here you can browse the complete list of publications for NLST
| Title | PubMed | Authors | Journal | Year | Studies |
|---|---|---|---|---|---|
| Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. | 38833895 | Aslani S, Alluri P, Gudmundsson E, Chandy E, McCabe J, Devaraj A, Horst C, Janes SM, Chakkara R, Alexander DC, SUMMIT consortium, Nair A, Jacob J | Comput Med Imaging Graph | 2024 | NLST |
| Impact of OLD/Emphysema in LC Mortality Risk in Screening Programs: An Analysis of NLST and P-IELCAP. | 38825431 | González J, Seijo LM, de-Torres JP, Benítez ID, Ocón MDM, Barbé F, Wisnivesky JP, Zulueta JJ | Arch Bronconeumol | 2024 | NLST |
| Differential Radiomics-Based Signature Predicts Lung Cancer Risk Accounting for Imaging Parameters in NLST Cohort. | 39463128 | Ebrahimpour L, Després P, Manem VSK | Cancer Med | 2024 | NLST |
| Significance of Image Reconstruction Parameters for Future Lung Cancer Risk Prediction Using Low-Dose Chest Computed Tomography and the Open-Access Sybil Algorithm. | 39437009 | Simon J, Mikhael P, Graur A, Chang AEB, Skates SJ, Osarogiagbon RU, Sequist LV, Fintelmann FJ | Invest Radiol | 2024 | NLST |
| OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations. | 36701900 | Pan Z, Zhang R, Shen S, Lin Y, Zhang L, Wang X, Ye Q, Wang X, Chen J, Zhao Y, Christiani DC, Li Y, Chen F, Wei Y | EBioMedicine | 2023 | NLST, PLCO |
| Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography. | 36634294 | Mikhael PG, Wohlwend J, Yala A, Karstens L, Xiang J, Takigami AK, Bourgouin PP, Chan P, Mrah S, Amayri W, Juan YH, Yang CT, Wan YL, Lin G, Sequist LV, Fintelmann FJ, Barzilay R | J Clin Oncol | 2023 | NLST |
| Updated cost-effectiveness analysis of lung cancer screening for Australia, capturing differences in the health economic impact of NELSON and NLST outcomes. | 36323879 | Behar Harpaz S, Weber MF, Wade S, Ngo PJ, Vaneckova P, Sarich PEA, Cressman S, Tammemagi MC, Fong K, Marshall H, McWilliams A, Zalcberg JR, Caruana M, Canfell K | Br J Cancer | 2023 | NLST |
| GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. | 36841107 | Liu P, Ji L, Ye F, Fu B | Comput Methods Programs Biomed | 2023 | NLST |
| Risk Model-Based Lung Cancer Screening : A Cost-Effectiveness Analysis. | 36745885 | Toumazis I, Cao P, de Nijs K, Bastani M, Munshi V, Hemmati M, Ten Haaf K, Jeon J, Tammemägi M, Gazelle GS, Feuer EJ, Kong CY, Meza R, de Koning HJ, Plevritis SK, Han SS | Ann Intern Med | 2023 | NLST |
| An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification. | 36463674 | Huang YS, Wang TC, Huang SZ, Zhang J, Chen HM, Chang YC, Chang RF | Comput Methods Programs Biomed | 2023 | NLST |
| Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals. | 36929398 | Landy R, Wang VL, Baldwin DR, Pinsky PF, Cheung LC, Castle PE, Skarzynski M, Robbins HA, Katki HA | JAMA Netw Open | 2023 | NLST |
| Early Detection of Lung Cancer in the NLST Dataset. | 36909593 | Mukherjee P, Brezhneva A, Napel S, Gevaert O | medRxiv | 2023 | NLST |
| Significant Incidental Findings in the National Lung Screening Trial. | 37155190 | Gareen IF, Gutman R, Sicks J, Tailor TD, Hoffman RM, Trivedi AN, Flores E, Underwood E, Cochancela J, Chiles C | JAMA Intern Med | 2023 | NLST |
| Prevention, Risk Reduction, and Hereditary Cancer | Ellen T. Chang, Sam M. Janes, Allan Hackshaw, Christina A. Clarke Dur, Diana SM Buist, Earl A. Hubbell | J Clin Oncol 41, 2023 (suppl 16; abstr 10633) | 2023 | NLST | |
| Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency. | 37015696 | Fan L, Sowmya A, Meijering E, Song Y | IEEE Trans Med Imaging | 2023 | NLST |
| Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification. | 35933282 | Masquelin AH, Alshaabi T, Cheney N, Estépar RSJ, Bates JHT, Kinsey CM | Acad Radiol | 2023 | NLST |
| Recurrence After Surgery for Non-small-cell Lung Cancer in the National Lung Screening Trial. | 37356517 | Potter AL, Costantino CL, Suliman RA, Haridas CS, Senthil P, Kumar A, Mayne NR, Panda N, Martin LW, Jeffrey Yang CF | Ann Thorac Surg | 2023 | NLST |
| AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection. | 37489991 | Xu K, Khan MS, Li TZ, Gao R, Terry JG, Huo Y, Lasko TA, Carr JJ, Maldonado F, Landman BA, Sandler KL | Radiology | 2023 | NLST |
| Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation. | 37469854 | Li TZ, Hin Lee H, Xu K, Gao R, Dawant BM, Maldonado F, Sandler KL, Landman BA | J Med Imaging (Bellingham) | 2023 | NLST |
| Overestimation of screening-related complications in the National Lung Screening Trial. | 36503729 | Kamel MK, Kariyawasam S, Stiles B | J Thorac Cardiovasc Surg | 2023 | NLST |