607 related articles for article (PubMed ID: 27422797)
1. Predicting Malignant Nodules from Screening CT Scans.
Hawkins S; Wang H; Liu Y; Garcia A; Stringfield O; Krewer H; Li Q; Cherezov D; Gatenby RA; Balagurunathan Y; Goldgof D; Schabath MB; Hall L; Gillies RJ
J Thorac Oncol; 2016 Dec; 11(12):2120-2128. PubMed ID: 27422797
[TBL] [Abstract][Full Text] [Related]
2. Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.
Tu SJ; Wang CW; Pan KT; Wu YC; Wu CT
Phys Med Biol; 2018 Mar; 63(6):065005. PubMed ID: 29446758
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Early detection of lung cancer using ultra-low-dose computed tomography in coronary CT angiography scans among patients with suspected coronary heart disease.
Zanon M; Pacini GS; de Souza VVS; Marchiori E; Meirelles GSP; Szarf G; Torres FS; Hochhegger B
Lung Cancer; 2017 Dec; 114():1-5. PubMed ID: 29173759
[TBL] [Abstract][Full Text] [Related]
5. Assessment of indeterminate pulmonary nodules detected in lung cancer screening: Diagnostic accuracy of FDG PET/CT.
Garcia-Velloso MJ; Bastarrika G; de-Torres JP; Lozano MD; Sanchez-Salcedo P; Sancho L; Nuñez-Cordoba JM; Campo A; Alcaide AB; Torre W; Richter JA; Zulueta JJ
Lung Cancer; 2016 Jul; 97():81-6. PubMed ID: 27237032
[TBL] [Abstract][Full Text] [Related]
6. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
7. Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?
Digumarthy SR; Padole AM; Rastogi S; Price M; Mooradian MJ; Sequist LV; Kalra MK
Cancer Imaging; 2019 Jun; 19(1):36. PubMed ID: 31182167
[TBL] [Abstract][Full Text] [Related]
8. External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis.
Garau N; Paganelli C; Summers P; Choi W; Alam S; Lu W; Fanciullo C; Bellomi M; Baroni G; Rampinelli C
Med Phys; 2020 Sep; 47(9):4125-4136. PubMed ID: 32488865
[TBL] [Abstract][Full Text] [Related]
9. Occurrence and lung cancer probability of new solid nodules at incidence screening with low-dose CT: analysis of data from the randomised, controlled NELSON trial.
Walter JE; Heuvelmans MA; de Jong PA; Vliegenthart R; van Ooijen PMA; Peters RB; Ten Haaf K; Yousaf-Khan U; van der Aalst CM; de Bock GH; Mali W; Groen HJM; de Koning HJ; Oudkerk M
Lancet Oncol; 2016 Jul; 17(7):907-916. PubMed ID: 27283862
[TBL] [Abstract][Full Text] [Related]
10. Positron emission tomography in the diagnostic work-up of screening-detected lung nodules.
Veronesi G; Travaini LL; Maisonneuve P; Rampinelli C; Bertolotti R; Spaggiari L; Bellomi M; Paganelli G
Eur Respir J; 2015 Feb; 45(2):501-10. PubMed ID: 25261326
[TBL] [Abstract][Full Text] [Related]
11. Differences in Patient Outcomes of Prevalence, Interval, and Screen-Detected Lung Cancers in the CT Arm of the National Lung Screening Trial.
Schabath MB; Massion PP; Thompson ZJ; Eschrich SA; Balagurunathan Y; Goldof D; Aberle DR; Gillies RJ
PLoS One; 2016; 11(8):e0159880. PubMed ID: 27509046
[TBL] [Abstract][Full Text] [Related]
12. Lung cancer screening with low-dose computed tomography: a non-invasive diagnostic protocol for baseline lung nodules.
Veronesi G; Bellomi M; Mulshine JL; Pelosi G; Scanagatta P; Paganelli G; Maisonneuve P; Preda L; Leo F; Bertolotti R; Solli P; Spaggiari L
Lung Cancer; 2008 Sep; 61(3):340-9. PubMed ID: 18308420
[TBL] [Abstract][Full Text] [Related]
13. Lung cancer screening with low-dose computed tomography: Experiences from a tertiary hospital in Taiwan.
Chen CY; Chen CH; Shen TC; Cheng WC; Hsu CN; Liao CH; Chen CY; Hsia TC; Liao WC; Tu CY; Shih CM; Hsu WH
J Formos Med Assoc; 2016 Mar; 115(3):163-70. PubMed ID: 26714425
[TBL] [Abstract][Full Text] [Related]
14. Characteristics of new solid nodules detected in incidence screening rounds of low-dose CT lung cancer screening: the NELSON study.
Walter JE; Heuvelmans MA; Bock GH; Yousaf-Khan U; Groen HJM; Aalst CMV; Nackaerts K; Ooijen PMAV; Koning HJ; Vliegenthart R; Oudkerk M
Thorax; 2018 Aug; 73(8):741-747. PubMed ID: 29661918
[TBL] [Abstract][Full Text] [Related]
15. Relationship between the number of new nodules and lung cancer probability in incidence screening rounds of CT lung cancer screening: The NELSON study.
Walter JE; Heuvelmans MA; de Bock GH; Yousaf-Khan U; Groen HJM; van der Aalst CM; Nackaerts K; van Ooijen PMA; de Koning HJ; Vliegenthart R; Oudkerk M
Lung Cancer; 2018 Nov; 125():103-108. PubMed ID: 30429006
[TBL] [Abstract][Full Text] [Related]
16. Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers.
van Riel SJ; Ciompi F; Winkler Wille MM; Dirksen A; Lam S; Scholten ET; Rossi SE; Sverzellati N; Naqibullah M; Wittenberg R; Hovinga-de Boer MC; Snoeren M; Peters-Bax L; Mets O; Brink M; Prokop M; Schaefer-Prokop C; van Ginneken B
PLoS One; 2017; 12(11):e0185032. PubMed ID: 29121063
[TBL] [Abstract][Full Text] [Related]
17. Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT.
Uthoff J; Stephens MJ; Newell JD; Hoffman EA; Larson J; Koehn N; De Stefano FA; Lusk CM; Wenzlaff AS; Watza D; Neslund-Dudas C; Carr LL; Lynch DA; Schwartz AG; Sieren JC
Med Phys; 2019 Jul; 46(7):3207-3216. PubMed ID: 31087332
[TBL] [Abstract][Full Text] [Related]
18. Development and Validation of a Multivariable Lung Cancer Risk Prediction Model That Includes Low-Dose Computed Tomography Screening Results: A Secondary Analysis of Data From the National Lung Screening Trial.
Tammemägi MC; Ten Haaf K; Toumazis I; Kong CY; Han SS; Jeon J; Commins J; Riley T; Meza R
JAMA Netw Open; 2019 Mar; 2(3):e190204. PubMed ID: 30821827
[TBL] [Abstract][Full Text] [Related]
19. Combined use of positron emission tomography and volume doubling time in lung cancer screening with low-dose CT scanning.
Ashraf H; Dirksen A; Loft A; Bertelsen AK; Bach KS; Hansen H; Pedersen JH; Mortensen J
Thorax; 2011 Apr; 66(4):315-9. PubMed ID: 21169285
[TBL] [Abstract][Full Text] [Related]
20. The relationship of cancer characteristics and patient outcome with time to lung cancer diagnosis after an abnormal screening CT.
Sonavane SK; Pinsky P; Watts J; Gierada DS; Munden R; Singh SP; Nath H
Eur Radiol; 2017 Dec; 27(12):5113-5118. PubMed ID: 28616728
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]