171 related articles for article (PubMed ID: 31407521)
1. Can emphysema influence size discrepancy between radiologic and pathologic size measurement in subsolid lung adenocarcinomas?
Lim JK; Shin KM; Lee SY; Lee H; Hahm MH; Lee J; Kim CH; Cha SI; Jeong JY
Thorac Cancer; 2019 Oct; 10(10):1919-1927. PubMed ID: 31407521
[TBL] [Abstract][Full Text] [Related]
2. Effect of computed tomography window settings and reconstruction plane on 8th edition T-stage classification in patients with lung adenocarcinoma manifesting as a subsolid nodule.
Ahn H; Lee KW; Lee KH; Kim J; Kim K; Chung JH; Lee CT
Eur J Radiol; 2018 Jan; 98():130-135. PubMed ID: 29279151
[TBL] [Abstract][Full Text] [Related]
3. Size Measurement and T-staging of Lung Adenocarcinomas Manifesting as Solid Nodules ≤30 mm on CT: Radiology-Pathology Correlation.
Heidinger BH; Anderson KR; Moriarty EM; Costa DB; Gangadharan SP; VanderLaan PA; Bankier AA
Acad Radiol; 2017 Jul; 24(7):851-859. PubMed ID: 28256438
[TBL] [Abstract][Full Text] [Related]
4. Correlation between the size of the solid component on thin-section CT and the invasive component on pathology in small lung adenocarcinomas manifesting as ground-glass nodules.
Lee KH; Goo JM; Park SJ; Wi JY; Chung DH; Go H; Park HS; Park CM; Lee SM
J Thorac Oncol; 2014 Jan; 9(1):74-82. PubMed ID: 24346095
[TBL] [Abstract][Full Text] [Related]
5. CT Manifestations of Tumor Spread Through Airspaces in Pulmonary Adenocarcinomas Presenting as Subsolid Nodules.
de Margerie-Mellon C; Onken A; Heidinger BH; VanderLaan PA; Bankier AA
J Thorac Imaging; 2018 Nov; 33(6):402-408. PubMed ID: 30067571
[TBL] [Abstract][Full Text] [Related]
6. Improving the prediction of lung adenocarcinoma invasive component on CT: Value of a vessel removal algorithm during software segmentation of subsolid nodules.
Garzelli L; Goo JM; Ahn SY; Chae KJ; Park CM; Jung J; Hong H
Eur J Radiol; 2018 Mar; 100():58-65. PubMed ID: 29496080
[TBL] [Abstract][Full Text] [Related]
7. Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas.
Cohen JG; Goo JM; Yoo RE; Park CM; Lee CH; van Ginneken B; Chung DH; Kim YT
Eur Radiol; 2016 Dec; 26(12):4465-4474. PubMed ID: 27048527
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Effect of CT window settings on size measurements of the solid component in subsolid nodules: evaluation of prediction efficacy of the degree of pathological malignancy in lung adenocarcinoma.
Li Q; Gu YF; Fan L; Li QC; Xiao Y; Liu SY
Br J Radiol; 2018 Jul; 91(1088):20180251. PubMed ID: 29791206
[TBL] [Abstract][Full Text] [Related]
10. Diameter of the Solid Component in Subsolid Nodules on Low-Dose Unenhanced Chest Computed Tomography: Measurement Accuracy for the Prediction of Invasive Component in Lung Adenocarcinoma.
Ahn H; Lee KH; Kim J; Kim J; Kim J; Lee KW
Korean J Radiol; 2018; 19(3):508-515. PubMed ID: 29713229
[TBL] [Abstract][Full Text] [Related]
11. Emphysema is associated with the aggressiveness of COPD-related adenocarcinomas.
Lim CG; Shin KM; Lim JK; Kim HJ; Kim WH; Cho SH; Kim GC; Lim J; Jeong JY; Cha SI
Clin Respir J; 2020 Apr; 14(4):405-412. PubMed ID: 31903685
[TBL] [Abstract][Full Text] [Related]
12. Retrospective assessment of interobserver agreement and accuracy in classifications and measurements in subsolid nodules with solid components less than 8mm: which window setting is better?
Yoo RE; Goo JM; Hwang EJ; Yoon SH; Lee CH; Park CM; Ahn S
Eur Radiol; 2017 Apr; 27(4):1369-1376. PubMed ID: 27456963
[TBL] [Abstract][Full Text] [Related]
13. Growth Assessment of Pulmonary Adenocarcinomas Manifesting as Subsolid Nodules on CT: Comparison of Diameter-Based and Volume Measurements.
de Margerie-Mellon C; Gill RR; Monteiro Filho AC; Heidinger BH; Onken A; VanderLaan PA; Bankier AA
Acad Radiol; 2020 Oct; 27(10):1385-1393. PubMed ID: 31732419
[TBL] [Abstract][Full Text] [Related]
14. Prediction of pathologic prognostic factors in patients with lung adenocarcinomas: comparison of thin-section computed tomography and positron emission tomography/computed tomography.
Iwano S; Kishimoto M; Ito S; Kato K; Ito R; Naganawa S
Cancer Imaging; 2014 Apr; 14(1):3. PubMed ID: 25609076
[TBL] [Abstract][Full Text] [Related]
15. Imaging features of TSCT predict the classification of pulmonary preinvasive lesion, minimally and invasive adenocarcinoma presented as ground glass nodules.
Liu Y; Sun H; Zhou F; Su C; Gao G; Ren S; Zhou C; Zhang Z; Shi J
Lung Cancer; 2017 Jun; 108():192-197. PubMed ID: 28625634
[TBL] [Abstract][Full Text] [Related]
16. What CT characteristics of lepidic predominant pattern lung adenocarcinomas correlate with invasiveness on pathology?
Aherne EA; Plodkowski AJ; Montecalvo J; Hayan S; Zheng J; Capanu M; Adusumilli PS; Travis WD; Ginsberg MS
Lung Cancer; 2018 Apr; 118():83-89. PubMed ID: 29572008
[TBL] [Abstract][Full Text] [Related]
17. Natural History of Pulmonary Subsolid Nodules: A Prospective Multicenter Study.
Kakinuma R; Noguchi M; Ashizawa K; Kuriyama K; Maeshima AM; Koizumi N; Kondo T; Matsuguma H; Nitta N; Ohmatsu H; Okami J; Suehisa H; Yamaji T; Kodama K; Mori K; Yamada K; Matsuno Y; Murayama S; Murata K
J Thorac Oncol; 2016 Jul; 11(7):1012-28. PubMed ID: 27089851
[TBL] [Abstract][Full Text] [Related]
18. Semiquantative Visual Assessment of Sub-solid Pulmonary Nodules ≦3 cm in Differentiation of Lung Adenocarcinoma Spectrum.
Wu FZ; Chen PA; Wu CC; Kuo PL; Tsao SP; Chien CC; Tang EK; Wu MT
Sci Rep; 2017 Nov; 7(1):15790. PubMed ID: 29150624
[TBL] [Abstract][Full Text] [Related]
19. The effect of late-phase contrast enhancement on semi-automatic software measurements of CT attenuation and volume of part-solid nodules in lung adenocarcinomas.
Cohen JG; Goo JM; Yoo RE; Park SB; van Ginneken B; Ferretti GR; Lee CH; Park CM
Eur J Radiol; 2016 Jun; 85(6):1174-80. PubMed ID: 27161068
[TBL] [Abstract][Full Text] [Related]
20. Improved interobserver agreement on nodule type and Lung-RADS classification of subsolid nodules using computer-aided solid component measurement.
Shu J; Wen D; Xu Z; Meng X; Zhang Z; Lin S; Zheng M
Eur J Radiol; 2022 Jul; 152():110339. PubMed ID: 35537358
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
