| 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 |
| Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules. |
37526548
|
Venkadesh KV, Aleef TA, Scholten ET, Saghir Z, Silva M, Sverzellati N, Pastorino U, van Ginneken B, Prokop M, Jacobs C |
Radiology |
2023 |
NLST |
| Overall Survival Among Patients With De Novo Stage IV Metastatic and Distant Metastatic Recurrent Non-Small Cell Lung Cancer. |
37751203
|
Su CC, Wu JT, Choi E, Myall NJ, Neal JW, Kurian AW, Stehr H, Wood D, Henry SM, Backhus LM, Leung AN, Wakelee HA, Han SS |
JAMA Netw Open |
2023 |
NLST |
| Level of Education Matters in Regard to Participants' Compliance With Screening in the National Lung Screening Trial. |
37732698
|
Alali AA |
J Thorac Imaging |
2023 |
NLST |
| Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study. |
37788223
|
Callender T, Imrie F, Cebere B, Pashayan N, Navani N, van der Schaar M, Janes SM |
PLoS Med |
2023 |
NLST, PLCO |
| Absolute lung cancer risk increases among individuals with >15 quit-years: Analyses to inform the update of the American Cancer Society lung cancer screening guidelines. |
37909885
|
Landy R, Cheung LC, Young CD, Chaturvedi AK, Katki HA |
Cancer |
2023 |
NLST, PLCO |
| Benefit-to-radiation-risk of low-dose computed tomography lung cancer screening. |
37909872
|
Hendrick RE, Smith RA |
Cancer |
2023 |
NLST |
| Age-related Muscle Fat Infiltration in Lung Screening Participants: Impact of Smoking Cessation. |
38106099
|
Xu K, Li TZ, Terry JG, Krishnan AR, Deppen SA, Huo Y, Maldonado F, Carr JJ, Landman BA, Sandler KL |
medRxiv |
2023 |
NLST |
| Privacy-preserving analysis of time-to-event data under nested case-control sampling. |
38093410
|
Juwara L, Yang YA, Velly AM, Saha-Chaudhuri P |
Stat Methods Med Res |
2023 |
NLST |
| Modeling oral cancer screening in the United States population. |
34864525
|
Cramer JD, Grauer J |
Oral Oncol |
2022 |
NLST |
| Long-term Outcomes After Lung Cancer Resection in Smokers: Analysis of the National Lung Screening Trial. |
34591149
|
Sesti J, Decker J, Bell J, Nguyen A, Lackey A, Turner AL, Hilden P, Paul S |
World J Surg |
2022 |
NLST |
| Surgical Outcomes in the National Lung Screening Trial Compared With Contemporary Practice. |
35007506
|
Savitch SL, Zheng R, Abdelsattar ZM, Barta JA, Okusanya OT, Evans NR, Grenda TR |
Ann Thorac Surg |
2022 |
NLST |
| Incidence of Head and Neck Cancer With Lung Cancer Screening: Secondary Analysis of a Randomized Controlled Trial. |
34984679
|
Jassal JS, Grauer JS, Cramer JD |
Laryngoscope |
2022 |
NLST |
| Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image. |
34982683
|
Di D, Zhang J, Lei F, Tian Q, Gao Y |
IEEE Trans Image Process |
2022 |
NLST |
| Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach. |
35201409
|
Sun J, Liao X, Yan Y, Zhang X, Sun J, Tan W, Liu B, Wu J, Guo Q, Gao S, Li Z, Wang K, Li Q |
Eur Radiol |
2022 |
NLST |
| AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation. |
35182291
|
Nagaraj Y, Wisselink HJ, Rook M, Cai J, Nagaraj SB, Sidorenkov G, Veldhuis R, Oudkerk M, Vliegenthart R, van Ooijen P |
J Digit Imaging |
2022 |
NLST |
| Strategies for Reducing False-Positive Screening Results for Intermediate-Size Nodules Evaluated Using Lung-RADS: A Secondary Analysis of National Lung Screening Trial Data. |
35319912
|
Hammer MM, Hunsaker AR |
AJR Am J Roentgenol |
2022 |
NLST |
| Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model. |
35238972
|
Chetan MR, Dowson N, Price NW, Ather S, Nicolson A, Gleeson FV |
Eur Radiol |
2022 |
NLST |
