Publications
Here you can browse the complete list of publications for studies listed on CDAS.
| Title | PubMed | Authors | Journal | Year | Studies |
|---|---|---|---|---|---|
| Personalised follow-up and management schema for patients with screen-detected pulmonary nodules: A dynamic modelling study. | 38614860 | Wang Z, Xue F, Sui X, Han W, Song W, Jiang J | Pulmonology | 2024 | NLST |
| Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction. | 38741014 | Jia G, Ping J, Guo X, Yang Y, Tao R, Li B, Ambs S, Barnard ME, Chen Y, Garcia-Closas M, Gu J, Hu JJ, Huo D, John EM, Li CI, Li JL, Nathanson KL, Nemesure B, Olopade OI, Pal T, Press MF, Sanderson M, Sandler DP, Shu XO, Troester MA, Yao S, Adejumo PO… | Nat Genet | 2024 | PLCO |
| A Self-supervised Learning-Based Fine-Grained Classification Model for Distinguishing Malignant From Benign Subcentimeter Solid Pulmonary Nodules. | 38777719 | Liu J, Qi L, Xu Q, Chen J, Cui S, Li F, Wang Y, Cheng S, Tan W, Zhou Z, Wang J | Acad Radiol | 2024 | NLST |
| Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening. | 38752718 | Wang Y, Zhou C, Ying L, Lee E, Chan HP, Chughtai A, Hadjiiski LM, Kazerooni EA | Radiol Cardiothorac Imaging | 2024 | NLST |
| Cloud-based large-scale curation of medical imaging data using AI segmentation. | 38746269 | Thiriveedhi VK, Krishnaswamy D, Clunie D, Pieper S, Kikinis R, Fedorov A | Res Sq | 2024 | NLST |
| Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. | 38729092 | Hermoza R, Nascimento JC, Carneiro G | Comput Med Imaging Graph | 2024 | NLST |
| Epidermal Growth Factor Receptor Inhibition With Erlotinib in Liver: Dose De-Escalation Pilot Trial as an Initial Step in a Chemoprevention Strategy | Tanabe, K. K., Zahrieh, D., Strand, C. A., Hoshida, Y., Flotte, T. J., Della’Zanna, G., Umar, A., Chavin, K. D., Cleary, S., Kubota, N., Llovet, J. M., Patel, T., Siegel, C., & Limburg, P. J. | Gastro Hep Advances | 2024 | EPPT | |
| Overall and non- lung cancer incidence and mortality in the National Lung Screening Trial: Opportunities for multi-cancer early detection | Alpa V. Patel 1 | Ellen T. Chang 2 | Allan Hackshaw 3 | Sam M. Janes 4 |Diana S. M. Buist 2 | Earl Hubbell 2 | Christina A. Clarke 2 | Graham A. Colditz 5 | Cancer Med. | 2024 | NLST | |
| Reinforcement learning for individualized lung cancer screening schedules: A nested case-control study. | 38949177 | Wang Z, Sui X, Song W, Xue F, Han W, Hu Y, Jiang J | Cancer Med | 2024 | NLST |
| Risk of Lung Cancer in Peripheral Pulmonary Nodules. | 38945743 | Hammer MM, Hunsaker AR | Acad Radiol | 2024 | NLST |
| Large cell carcinoma of the lung: LDCT features and survival in screen-detected cases. | 39163805 | Mascalchi M, Puliti D, Cavigli E, Cortés-Ibáñez FO, Picozzi G, Carrozzi L, Gorini G, Delorme S, Zompatori M, Raffaella De Luca G, Diciotti S, Eva Comin C, Alì G, Kaaks R | Eur J Radiol | 2024 | NLST |
| Deep Learning Model for Pathological Grading and Prognostic Assessment of Lung Cancer Using CT Imaging: A Study on NLST and External Validation Cohorts. | 39294054 | Yang R, Li W, Yu S, Wu Z, Zhang H, Liu X, Tao L, Li X, Huang J, Guo X | Acad Radiol | 2024 | NLST |
| AI for Multistructure Incidental Findings and Mortality Prediction at Chest CT in Lung Cancer Screening. | 39287522 | Marcinkiewicz AM, Buchwald M, Shanbhag A, Bednarski BP, Killekar A, Miller RJH, Builoff V, Lemley M, Berman DS, Dey D, Slomka PJ | Radiology | 2024 | NLST |
| The Azygos Esophageal Recess Is Not to Be Missed in Screening Lung Cancer With LDCT. | 39267479 | Mascalchi M, Cavigli E, Picozzi G, Cozzi D, De Luca GR, Diciotti S | J Thorac Imaging | 2024 | NLST |
| 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 |
| 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 |