168 related articles for article (PubMed ID: 33880620)
1. Differentiating focal interstitial fibrosis from adenocarcinoma in persistent pulmonary subsolid nodules (> 5 mm and < 20 mm): the role of coronal thin-section CT images.
Ko KH; Huang TW; Chang WC; Huang HK; Tsai WC; Hsu HH
Eur Radiol; 2021 Nov; 31(11):8326-8334. PubMed ID: 33880620
[TBL] [Abstract][Full Text] [Related]
2. Thin-section computed tomography-histopathologic comparisons of pulmonary focal interstitial fibrosis, atypical adenomatous hyperplasia, adenocarcinoma in situ, and minimally invasive adenocarcinoma with pure ground-glass opacity.
Si MJ; Tao XF; Du GY; Cai LL; Han HX; Liang XZ; Zhao JM
Eur J Radiol; 2016 Oct; 85(10):1708-1715. PubMed ID: 27666606
[TBL] [Abstract][Full Text] [Related]
3. Whole-Lesion Computed Tomography-Based Entropy Parameters for the Differentiation of Minimally Invasive and Invasive Adenocarcinomas Appearing as Pulmonary Subsolid Nodules.
Chen X; Feng B; Chen Y; Hao Y; Duan X; Cui E; Liu Z; Zhang C; Long W
J Comput Assist Tomogr; 2019; 43(5):817-824. PubMed ID: 31343995
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Computer-aided Detection of Subsolid Nodules at Chest CT: Improved Performance with Deep Learning-based CT Section Thickness Reduction.
Park S; Lee SM; Kim W; Park H; Jung KH; Do KH; Seo JB
Radiology; 2021 Apr; 299(1):211-219. PubMed ID: 33560190
[TBL] [Abstract][Full Text] [Related]
6. Differentiation Between Invasive Adenocarcinoma and Focal Interstitial Fibrosis among Persistent Pulmonary Part-solid Nodules: With Emphasis on the CT Morphologic Analysis.
Woo JH; Kim JH; Jeong DY; Park SG; Jung M; Kim CH; Lee J; Kim HK; Han J; Kim TJ; Chung MJ; Cha YK
J Thorac Imaging; 2024 Apr; ():. PubMed ID: 38665005
[TBL] [Abstract][Full Text] [Related]
7. Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.
Huang C; Lv W; Zhou C; Mao L; Xu Q; Li X; Qi L; Xia F; Li X; Zhang Q; Zhang L; Lu G
Eur Radiol; 2020 Dec; 30(12):6913-6923. PubMed ID: 32696253
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Value of TSCT Features for Differentiating Preinvasive and Minimally Invasive Adenocarcinoma From Invasive Adenocarcinoma Presenting as Subsolid Nodules Smaller Than 3 cm.
Wang H; Weng Q; Hui J; Fang S; Wu X; Mao W; Chen M; Zheng L; Wang Z; Zhao Z; Zhou L; Tu J; Xu M; Huang Y; Ji J
Acad Radiol; 2020 Mar; 27(3):395-403. PubMed ID: 31201034
[TBL] [Abstract][Full Text] [Related]
10. Subsolid pulmonary nodules: imaging evaluation and strategic management.
Godoy MC; Sabloff B; Naidich DP
Curr Opin Pulm Med; 2012 Jul; 18(4):304-12. PubMed ID: 22575798
[TBL] [Abstract][Full Text] [Related]
11. Growth and Clinical Impact of 6-mm or Larger Subsolid Nodules after 5 Years of Stability at Chest CT.
Lee JH; Lim WH; Hong JH; Nam JG; Hwang EJ; Kim H; Goo JM; Park CM
Radiology; 2020 May; 295(2):448-455. PubMed ID: 32181731
[TBL] [Abstract][Full Text] [Related]
12. Transient subsolid nodules in patients with extrapulmonary malignancies: their frequency and differential features.
Choi WS; Park CM; Song YS; Lee SM; Wi JY; Goo JM
Acta Radiol; 2015 Apr; 56(4):428-37. PubMed ID: 24615419
[TBL] [Abstract][Full Text] [Related]
13. Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical population.
Mets OM; de Jong PA; Scholten ET; Chung K; van Ginneken B; Schaefer-Prokop CM
Eur Radiol; 2017 Feb; 27(2):689-696. PubMed ID: 27255399
[TBL] [Abstract][Full Text] [Related]
14. CT features and quantitative analysis of subsolid nodule lung adenocarcinoma for pathological classification prediction.
Li X; Zhang W; Yu Y; Zhang G; Zhou L; Wu Z; Liu B
BMC Cancer; 2020 Jan; 20(1):60. PubMed ID: 31992239
[TBL] [Abstract][Full Text] [Related]
15. Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact.
Jiang Y; Che S; Ma S; Liu X; Guo Y; Liu A; Li G; Li Z
Cancer Imaging; 2021 Jan; 21(1):1. PubMed ID: 33407884
[TBL] [Abstract][Full Text] [Related]
16. Clinical, pathological and thin-section CT features of persistent multiple ground-glass opacity nodules: comparison with solitary ground-glass opacity nodule.
Kim TJ; Goo JM; Lee KW; Park CM; Lee HJ
Lung Cancer; 2009 May; 64(2):171-8. PubMed ID: 18799230
[TBL] [Abstract][Full Text] [Related]
17. Predicting the Ki-67 proliferation index in pulmonary adenocarcinoma patients presenting with subsolid nodules: construction of a nomogram based on CT images.
Yan J; Xue X; Gao C; Guo Y; Wu L; Zhou C; Chen F; Xu M
Quant Imaging Med Surg; 2022 Jan; 12(1):642-652. PubMed ID: 34993108
[TBL] [Abstract][Full Text] [Related]
18. A narrative review of the clinical approach to subsolid pulmonary nodules.
Kim BG; Um SW
Ann Transl Med; 2023 Mar; 11(5):217. PubMed ID: 37007560
[TBL] [Abstract][Full Text] [Related]
19. Pulmonary subsolid nodules: what radiologists need to know about the imaging features and management strategy.
Kim H; Park CM; Koh JM; Lee SM; Goo JM
Diagn Interv Radiol; 2014; 20(1):47-57. PubMed ID: 24100062
[TBL] [Abstract][Full Text] [Related]
20. Deep learning-based differentiation of invasive adenocarcinomas from preinvasive or minimally invasive lesions among pulmonary subsolid nodules.
Park S; Park G; Lee SM; Kim W; Park H; Jung K; Seo JB
Eur Radiol; 2021 Aug; 31(8):6239-6247. PubMed ID: 33555355
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
