172 related articles for article (PubMed ID: 33241512)
1. External validation and comparison of the Brock model and Lung-RADS for the baseline lung cancer CT screening using data from the Korean Lung Cancer Screening Project.
Kim H; Kim HY; Goo JM; Kim Y
Eur Radiol; 2021 Jun; 31(6):4004-4015. PubMed ID: 33241512
[TBL] [Abstract][Full Text] [Related]
2. Lung Cancer CT Screening and Lung-RADS in a Tuberculosis-endemic Country: The Korean Lung Cancer Screening Project (K-LUCAS).
Kim H; Kim HY; Goo JM; Kim Y
Radiology; 2020 Jul; 296(1):181-188. PubMed ID: 32286195
[TBL] [Abstract][Full Text] [Related]
3. Cancer Risk in Subsolid Nodules in the National Lung Screening Trial.
Hammer MM; Palazzo LL; Kong CY; Hunsaker AR
Radiology; 2019 Nov; 293(2):441-448. PubMed ID: 31526256
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography.
González Maldonado S; Delorme S; Hüsing A; Motsch E; Kauczor HU; Heussel CP; Kaaks R
JAMA Netw Open; 2020 Feb; 3(2):e1921221. PubMed ID: 32058555
[TBL] [Abstract][Full Text] [Related]
5. External validation and recalibration of the Brock model to predict probability of cancer in pulmonary nodules using NLST data.
Winter A; Aberle DR; Hsu W
Thorax; 2019 Jun; 74(6):551-563. PubMed ID: 30898897
[TBL] [Abstract][Full Text] [Related]
6. Validation of prediction models for risk stratification of incidentally detected pulmonary subsolid nodules: a retrospective cohort study in a Korean tertiary medical centre.
Kim H; Park CM; Jeon S; Lee JH; Ahn SY; Yoo RE; Lim HJ; Park J; Lim WH; Hwang EJ; Lee SM; Goo JM
BMJ Open; 2018 May; 8(5):e019996. PubMed ID: 29794091
[TBL] [Abstract][Full Text] [Related]
7. Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines.
van Riel SJ; Ciompi F; Jacobs C; Winkler Wille MM; Scholten ET; Naqibullah M; Lam S; Prokop M; Schaefer-Prokop C; van Ginneken B
Eur Radiol; 2017 Oct; 27(10):4019-4029. PubMed ID: 28293773
[TBL] [Abstract][Full Text] [Related]
8. Modified Lung-RADS Improves Performance of Screening LDCT in a Population with High Prevalence of Non-smoking-related Lung Cancer.
Hsu HT; Tang EK; Wu MT; Wu CC; Liang CH; Chen CS; Mar GY; Lai RS; Wang JC; Wu CL; Huang YL; Wu FZ
Acad Radiol; 2018 Oct; 25(10):1240-1251. PubMed ID: 29530488
[TBL] [Abstract][Full Text] [Related]
9. Real-World Lung Cancer CT Screening Performance, Smoking Behavior, and Adherence to Recommendations: Lung-RADS Category and Smoking Status Predict Adherence.
Barbosa EJM; Yang R; Hershman M
AJR Am J Roentgenol; 2021 Apr; 216(4):919-926. PubMed ID: 32755178
[No Abstract] [Full Text] [Related]
10. Comparison Between Radiological Semantic Features and Lung-RADS in Predicting Malignancy of Screen-Detected Lung Nodules in the National Lung Screening Trial.
Li Q; Balagurunathan Y; Liu Y; Qi J; Schabath MB; Ye Z; Gillies RJ
Clin Lung Cancer; 2018 Mar; 19(2):148-156.e3. PubMed ID: 29137847
[TBL] [Abstract][Full Text] [Related]
11. A Comparison of the PanCan Model and Lung-RADS to Assess Cancer Probability Among People With Screening-Detected, Solid Lung Nodules.
Sundaram V; Gould MK; Nair VS
Chest; 2021 Mar; 159(3):1273-1282. PubMed ID: 33393476
[TBL] [Abstract][Full Text] [Related]
12. Lung cancer screening by nodule volume in Lung-RADS v1.1: negative baseline CT yields potential for increased screening interval.
Silva M; Milanese G; Sestini S; Sabia F; Jacobs C; van Ginneken B; Prokop M; Schaefer-Prokop CM; Marchianò A; Sverzellati N; Pastorino U
Eur Radiol; 2021 Apr; 31(4):1956-1968. PubMed ID: 32997182
[TBL] [Abstract][Full Text] [Related]
13. A simple prediction model using size measures for discrimination of invasive adenocarcinomas among incidental pulmonary subsolid nodules considered for resection.
Kim H; Goo JM; Park CM
Eur Radiol; 2019 Apr; 29(4):1674-1683. PubMed ID: 30255253
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of Lung Cancer Risk Among Persons Undergoing Screening or Guideline-Concordant Monitoring of Lung Nodules in the Mississippi Delta.
Osarogiagbon RU; Liao W; Faris NR; Fehnel C; Goss J; Shepherd CJ; Qureshi T; Matthews AT; Smeltzer MP; Pinsky PF
JAMA Netw Open; 2023 Feb; 6(2):e230787. PubMed ID: 36848089
[TBL] [Abstract][Full Text] [Related]
15. Rate of benign nodule resection in a lung cancer screening program.
El Alam R; Byrne SC; Hammer MM
Clin Imaging; 2023 Dec; 104():109984. PubMed ID: 37832324
[TBL] [Abstract][Full Text] [Related]
16. Cancer Risk in Nodules Detected at Follow-Up Lung Cancer Screening CT.
Hammer MM; Byrne SC
AJR Am J Roentgenol; 2022 Apr; 218(4):634-641. PubMed ID: 34755524
[No Abstract] [Full Text] [Related]
17. Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population.
Chung K; Mets OM; Gerke PK; Jacobs C; den Harder AM; Scholten ET; Prokop M; de Jong PA; van Ginneken B; Schaefer-Prokop CM
Thorax; 2018 Sep; 73(9):857-863. PubMed ID: 29777062
[TBL] [Abstract][Full Text] [Related]
18. Application of Lung-Screening Reporting and Data System Versus Pan-Canadian Early Detection of Lung Cancer Nodule Risk Calculation in the Alberta Lung Cancer Screening Study.
Tremblay A; Taghizadeh N; MacGregor JH; Armstrong G; Bristow MS; Guo LLQ; Lydell C; Pereira R; Lee A; Elliot T; MacEachern P; Graham A; Dickinson JA; Koetzler R; Lam SC; Yang H; Bédard EL; Tammemagi M; Burrowes P
J Am Coll Radiol; 2019 Oct; 16(10):1425-1432. PubMed ID: 31103442
[TBL] [Abstract][Full Text] [Related]
19. Artificial neural networks improve LDCT lung cancer screening: a comparative validation study.
Hsu YC; Tsai YH; Weng HH; Hsu LS; Tsai YH; Lin YC; Hung MS; Fang YH; Chen CW
BMC Cancer; 2020 Oct; 20(1):1023. PubMed ID: 33092589
[TBL] [Abstract][Full Text] [Related]
20. Performance of the Vancouver Risk Calculator Compared with Lung-RADS in an Urban, Diverse Clinical Lung Cancer Screening Cohort.
Kessler A; Peng R; Mardakhaev E; Haramati LB; White CS
Radiol Imaging Cancer; 2020 Mar; 2(2):e190021. PubMed ID: 33778703
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]