266 related articles for article (PubMed ID: 33219848)
1. Natural history of pathologically confirmed pulmonary subsolid nodules with deep learning-assisted nodule segmentation.
Qi LL; Wang JW; Yang L; Huang Y; Zhao SJ; Tang W; Jin YJ; Zhang ZW; Zhou Z; Yu YZ; Wang YZ; Wu N
Eur Radiol; 2021 Jun; 31(6):3884-3897. PubMed ID: 33219848
[TBL] [Abstract][Full Text] [Related]
2. Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation.
Qi LL; Wu BT; Tang W; Zhou LN; Huang Y; Zhao SJ; Liu L; Li M; Zhang L; Feng SC; Hou DH; Zhou Z; Li XL; Wang YZ; Wu N; Wang JW
Eur Radiol; 2020 Feb; 30(2):744-755. PubMed ID: 31485837
[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. Volume and mass doubling times of persistent pulmonary subsolid nodules detected in patients without known malignancy.
Song YS; Park CM; Park SJ; Lee SM; Jeon YK; Goo JM
Radiology; 2014 Oct; 273(1):276-84. PubMed ID: 24927472
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A Subsolid Nodules Imaging Reporting System (SSN-IRS) for Classifying 3 Subtypes of Pulmonary Adenocarcinoma.
Cui X; Heuvelmans MA; Fan S; Han D; Zheng S; Du Y; Zhao Y; Sidorenkov G; Groen HJM; Dorrius MD; Oudkerk M; de Bock GH; Vliegenthart R; Ye Z
Clin Lung Cancer; 2020 Jul; 21(4):314-325.e4. PubMed ID: 32273256
[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. Qualitative and quantitative imaging features of pulmonary subsolid nodules: differentiating invasive adenocarcinoma from minimally invasive adenocarcinoma and preinvasive lesions.
Qi L; Lu W; Yang L; Tang W; Zhao S; Huang Y; Wu N; Wang J
J Thorac Dis; 2019 Nov; 11(11):4835-4846. PubMed ID: 31903274
[TBL] [Abstract][Full Text] [Related]
9. Long-term follow-up of persistent pulmonary subsolid nodules: Natural course of pure, heterogeneous, and real part-solid ground-glass nodules.
Zhang Z; Zhou L; Min X; Li H; Qi Q; Sun C; Sun K; Yang F; Li X
Thorac Cancer; 2023 Apr; 14(12):1059-1070. PubMed ID: 36922372
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Indeterminate pulmonary subsolid nodules in patients with no history of cancer: growing prediction, CT pattern, and pathological diagnosis.
Guo X; Jia X; Zhang D; Feng H; Dou Y; Shi G
Diagn Interv Radiol; 2022 May; 28(3):230-238. PubMed ID: 35748205
[TBL] [Abstract][Full Text] [Related]
12. CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists.
Kim H; Lee D; Cho WS; Lee JC; Goo JM; Kim HC; Park CM
Eur Radiol; 2020 Jun; 30(6):3295-3305. PubMed ID: 32055949
[TBL] [Abstract][Full Text] [Related]
13. Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis.
Silva M; Schaefer-Prokop CM; Jacobs C; Capretti G; Ciompi F; van Ginneken B; Pastorino U; Sverzellati N
Invest Radiol; 2018 Aug; 53(8):441-449. PubMed ID: 29543693
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. HRCT features distinguishing pre-invasive from invasive pulmonary adenocarcinomas appearing as ground-glass nodules.
Zhang Y; Shen Y; Qiang JW; Ye JD; Zhang J; Zhao RY
Eur Radiol; 2016 Sep; 26(9):2921-8. PubMed ID: 26662263
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Applying CT texture analysis to determine the prognostic value of subsolid nodules detected during low-dose CT screening.
Sun Q; Huang Y; Wang J; Zhao S; Zhang L; Tang W; Wu N
Clin Radiol; 2019 Jan; 74(1):59-66. PubMed ID: 30501892
[TBL] [Abstract][Full Text] [Related]
18. Screen-detected subsolid pulmonary nodules: long-term follow-up and application of the PanCan lung cancer risk prediction model.
Zhao H; Marshall HM; Yang IA; Bowman RV; Ayres J; Crossin J; Lau M; Slaughter RE; Redmond S; Passmore L; McCaul E; Courtney D; Leong SC; Windsor M; Zimmerman PV; Fong KM
Br J Radiol; 2016; 89(1060):20160016. PubMed ID: 26882046
[TBL] [Abstract][Full Text] [Related]
19. Prognostic Implications of Synchronous Subsolid Nodules in Patients with Resected Subsolid Lung Adenocarcinoma.
Ahn Y; Lee SM; Choi S; Kim MJ; Choe J; Do KH; Seo JB
Radiology; 2023 Jul; 308(1):e230313. PubMed ID: 37462496
[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]
