126 related articles for article (PubMed ID: 38686712)
21. Establishment and validation of multiclassification prediction models for pulmonary nodules based on machine learning.
Liu Q; Lv X; Zhou D; Yu N; Hong Y; Zeng Y
Clin Respir J; 2024 May; 18(5):e13769. PubMed ID: 38736274
[TBL] [Abstract][Full Text] [Related]
22. Development and validation of a prediction model for malignant pulmonary nodules: A cohort study.
Ren Z; Ding H; Cai Z; Mu Y; Wang L; Pan S
Medicine (Baltimore); 2021 Dec; 100(51):e28110. PubMed ID: 34941053
[TBL] [Abstract][Full Text] [Related]
23. Comparisons of clinical outcomes in patients with and without a preoperative tissue diagnosis in the persistent malignant-looking, ground-glass-opacity nodules.
Choi SH; Chae EJ; Shin SY; Kim EY; Kim JE; Lee HJ; Oh SY; Lee SM
Medicine (Baltimore); 2016 Aug; 95(34):e4359. PubMed ID: 27559945
[TBL] [Abstract][Full Text] [Related]
24. Three-dimensional analysis of pulmonary nodules by MSCT with Advanced Lung Analysis (ALA1) software.
Volterrani L; Mazzei MA; Scialpi M; Carcano M; Carbone SF; Ricci V; Guazzi G; Lupattelli L
Radiol Med; 2006 Apr; 111(3):343-54. PubMed ID: 16683082
[TBL] [Abstract][Full Text] [Related]
25. Natural Progression of Ground-glass Nodules after Curative Resection for Non-small Cell Lung Cancer.
Lee K; Kim HR; Park SI; Kim DK; Kim YH; Choi S; Lee GD
J Korean Med Sci; 2021 Nov; 36(43):e266. PubMed ID: 34751007
[TBL] [Abstract][Full Text] [Related]
26. Comparison of three software systems for semi-automatic volumetry of pulmonary nodules on baseline and follow-up CT examinations.
Zhao YR; van Ooijen PM; Dorrius MD; Heuvelmans M; de Bock GH; Vliegenthart R; Oudkerk M
Acta Radiol; 2014 Jul; 55(6):691-8. PubMed ID: 24132766
[TBL] [Abstract][Full Text] [Related]
27. Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
Wu G; Woodruff HC; Sanduleanu S; Refaee T; Jochems A; Leijenaar R; Gietema H; Shen J; Wang R; Xiong J; Bian J; Wu J; Lambin P
Eur Radiol; 2020 May; 30(5):2680-2691. PubMed ID: 32006165
[TBL] [Abstract][Full Text] [Related]
28. A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.
Gong J; Liu J; Hao W; Nie S; Zheng B; Wang S; Peng W
Eur Radiol; 2020 Apr; 30(4):1847-1855. PubMed ID: 31811427
[TBL] [Abstract][Full Text] [Related]
29. Persistent pulmonary subsolid nodules with solid portions of 5 mm or smaller: Their natural course and predictors of interval growth.
Lee JH; Park CM; Lee SM; Kim H; McAdams HP; Goo JM
Eur Radiol; 2016 Jun; 26(6):1529-37. PubMed ID: 26385803
[TBL] [Abstract][Full Text] [Related]
30. [The intra-observer variability of volumetric measurement of pulmonary nodules: comparison of two-dimensional and three-dimensional method].
Guo X; Wang Y; Li D; Zhang C; Cao Y; Su D; Yu T
Zhongguo Fei Ai Za Zhi; 2014 Apr; 17(4):336-41. PubMed ID: 24758909
[TBL] [Abstract][Full Text] [Related]
31. Probability of cancer in pulmonary nodules detected on first screening CT.
McWilliams A; Tammemagi MC; Mayo JR; Roberts H; Liu G; Soghrati K; Yasufuku K; Martel S; Laberge F; Gingras M; Atkar-Khattra S; Berg CD; Evans K; Finley R; Yee J; English J; Nasute P; Goffin J; Puksa S; Stewart L; Tsai S; Johnston MR; Manos D; Nicholas G; Goss GD; Seely JM; Amjadi K; Tremblay A; Burrowes P; MacEachern P; Bhatia R; Tsao MS; Lam S
N Engl J Med; 2013 Sep; 369(10):910-9. PubMed ID: 24004118
[TBL] [Abstract][Full Text] [Related]
32. Computed tomography quantitative analysis of components: a new method monitoring the growth of pulmonary nodule.
Linning E; Wu S; Wang K; Meng H; Sun D; Wu Z
Acta Radiol; 2013 Oct; 54(8):904-8. PubMed ID: 23761548
[TBL] [Abstract][Full Text] [Related]
33. Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis.
Wang Q; Xu S; Zhang G; Zhang X; Gu J; Yang S; Zeng M; Zhang Z
J Appl Clin Med Phys; 2022 Nov; 23(11):e13759. PubMed ID: 35998185
[TBL] [Abstract][Full Text] [Related]
34. Quantitative CT analysis of lung parenchyma to improve malignancy risk estimation in incidental pulmonary nodules.
Peters AA; Weinheimer O; von Stackelberg O; Kroschke J; Piskorski L; Debic M; Schlamp K; Welzel L; Pohl M; Christe A; Ebner L; Kauczor HU; Heußel CP; Wielpütz MO
Eur Radiol; 2023 Jun; 33(6):3908-3917. PubMed ID: 36538071
[TBL] [Abstract][Full Text] [Related]
35. [Diagnosis and Treatment of Pulmonary Multifocal Ground-glass Nodules].
Liu B
Zhongguo Fei Ai Za Zhi; 2020 Aug; 23(8):679-684. PubMed ID: 32741190
[TBL] [Abstract][Full Text] [Related]
36. Computed tomography-guided patent blue vital dye localization of pulmonary nodules in uniportal thoracoscopy.
Lin MW; Tseng YH; Lee YF; Hsieh MS; Ko WC; Chen JY; Hsu HH; Chang YC; Chen JS
J Thorac Cardiovasc Surg; 2016 Aug; 152(2):535-544.e2. PubMed ID: 27189890
[TBL] [Abstract][Full Text] [Related]
37. Risk factors associated with an increase in the size of ground-glass lung nodules on chest computed tomography.
Yoon HY; Bae JY; Kim Y; Shim SS; Park S; Park SY; Kim SJ; Ryu YJ; Chang JH; Lee JH
Thorac Cancer; 2019 Jul; 10(7):1544-1551. PubMed ID: 31155851
[TBL] [Abstract][Full Text] [Related]
38. Computed tomography-guided preoperative semi-rigid hook-wire localization of small pulmonary nodules: 74 cases report.
Zhao G; Yu X; Chen W; Geng G; Li N; Liu H; Yin P; Sun L; Jiang J
J Cardiothorac Surg; 2019 Aug; 14(1):149. PubMed ID: 31426812
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Lung Adenocarcinoma Invasiveness Risk in Pure Ground-Glass Opacity Lung Nodules Smaller than 2 cm.
Lee GD; Park CH; Park HS; Byun MK; Lee IJ; Kim TH; Lee S
Thorac Cardiovasc Surg; 2019 Jun; 67(4):321-328. PubMed ID: 29359309
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]