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Here you can browse the complete list of publications for studies listed on CDAS.

Publication Year
Results: 1446 (Showing 1 to 20)
Title PubMed Authors Journal Year Studies
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
Risk prediction models for endometrial cancer: development and validation in an international consortium. 36688725 Shi J, Kraft P, Rosner B, Benavente Y, Black A, Brinton LA, Chen C, Clarke MA, Cook LS, Costas L, Dal Maso L, Freudenheim JL, Frias-Gomez J, Friedenreich CM, Garcia-Closas M, Goodman MT, Johnson L, La Vecchia C, Levi F, Lissowska J, Lu L, McCann SE,… J Natl Cancer Inst 2023 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
Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: A pooled analysis. 36151863 Rhee J, Birmann BM, De Roos AJ, Epstein MM, Martinez-Maza O, Breen EC, Magpantay LI, Levin LI, Visvanathan K, Hosgood HD, Rohan TE, Smoller SW, Bassig BA, Qi L, Shu XO, Koh WP, Zheng W, Yuan JM, Weinstein SJ, Albanes D, Lan Q, Rothman N, Purdue MP Int J Cancer 2023 PLCO
Association between Dietary and Supplemental Antioxidants Intake and Lung Cancer Risk: Evidence from a Cancer Screening Trial 36829901 Jiaqi Yang 1,2ORCID,Sicheng Qian 1,3,Xiaona Na 1 and Ai Zhao 1, Antiox 2023 PLCO
Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival. 36689693 Lopes Cardozo JMN, Andrulis IL, Bojesen SE, Dörk T, Eccles DM, Fasching PA, Hooning MJ, Keeman R, Nevanlinna H, Rutgers EJT, Easton DF, Hall P, Pharoah PDP, van 't Veer LJ, Schmidt MK, Breast Cancer Association Consortium and MINDACT Collaborators J Clin Oncol 2023 PLCO
Validation of a genetic-enhanced risk prediction model for colorectal cancer in a large community-based cohort. 36622766 Su YR, Sakoda LC, Jeon J, Thomas M, Lin Y, Schneider JL, Udaltsova N, Lee JK, Lansdorp-Vogelaar I, Peterse EFP, Zauber AG, Zheng J, Zheng Y, Hauser E, Baron JA, Barry EL, Bishop DT, Brenner H, Buchanan DD, Burnett-Hartman A, Campbell PT, Casey G, Ca… Cancer Epidemiol Biomarkers Prev 2023 PLCO
Separating the effects of early and later life adiposity on colorectal cancer risk: a Mendelian randomization study. 36600297 Papadimitriou N, Bull CJ, Jenab M, Hughes DJ, Bell JA, Sanderson E, Timpson NJ, Smith GD, Albanes D, Campbell PT, Küry S, Le Marchand L, Ulrich CM, Visvanathan K, Figueiredo JC, Newcomb PA, Pai RK, Peters U, Tsilidis KK, Boer JMA, Vincent EE, Marios… BMC Med 2023 PLCO
Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries. 36539618 Fernandez-Rozadilla C, Timofeeva M, Chen Z, Law P, Thomas M, Schmit S, Díez-Obrero V, Hsu L, Fernandez-Tajes J, Palles C, Sherwood K, Briggs S, Svinti V, Donnelly K, Farrington S, Blackmur J, Vaughan-Shaw P, Shu XO, Long J, Cai Q, Guo X, Lu Y, Brode… Nat Genet 2023 PLCO
Genetic Predictors for Fecal Propionate and Butyrate-Producing Microbiome Pathway Are Not Associated with Colorectal Cancer Risk: A Mendelian Randomization Analysis. 36512731 Lu Y, Zhao YC, Chang-Claude J, Gruber SB, Gsur A, Offit K, Vodickova L, Woods MO, Nguyen LH, Wade KH, Carreras-Torres R, Moreno V, Buchanan DD, Cotterchio M, Chan AT, Phipps AI, Peters U, Song M Cancer Epidemiol Biomarkers Prev 2023 PLCO
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
Phase I Trial of a Therapeutic DNA Vaccine for Preventing Hepatocellular Carcinoma from Chronic Hepatitis C Virus (HCV) Infection. 36534786 Jacobson JM, Zahrieh D, Strand CA, Cruz-Correa M, Pungpapong S, Roberts LR, Mandrekar SJ, Rodriguez LM, Boyer J, Marrero I, Kraynyak KA, Morrow MP, Sylvester AJ, Pawlicki JM, Gillespie E, Barranco E, Richmond E, Umar A, Weiner DB, Limburg PJ, Cancer… Cancer Prev Res (Phila) 2023
Body mass index and molecular subtypes of colorectal cancer. 36445035 Murphy N, Newton CC, Song M, Papadimitriou N, Hoffmeister M, Phipps AI, Harrison TA, Newcomb PA, Aglago EK, Berndt SI, Brenner H, Buchanan DD, Cao Y, Chan AT, Chen X, Cheng I, Chang-Claude J, Dimou N, Drew D, Farris AB, French AJ, Gallinger S, Georg… J Natl Cancer Inst 2023 PLCO
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