267 related articles for article (PubMed ID: 29279151)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid nodules.
Wu YJ; Liu YC; Liao CY; Tang EK; Wu FZ
Sci Rep; 2021 Jan; 11(1):66. PubMed ID: 33462251
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Subsolid Lung Nodule Classification: A CT Criterion for Improving Interobserver Agreement.
Revel MP; Mannes I; Benzakoun J; Guinet C; Léger T; Grenier P; Lupo A; Fournel L; Chassagnon G; Bommart S
Radiology; 2018 Jan; 286(1):316-325. PubMed ID: 28796590
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Comparison of multiplanar reformatted CT lung tumor measurements to axial tumor measurement alone: impact on maximal tumor dimension and T stage.
Ridge CA; Huang J; Cardoza S; Zabor EC; Moskowitz CS; Zakowski MF; Ginsberg MS
AJR Am J Roentgenol; 2013 Nov; 201(5):959-63. PubMed ID: 24147464
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. Use of a Commercially Available Deep Learning Algorithm to Measure the Solid Portions of Lung Cancer Manifesting as Subsolid Lesions at CT: Comparisons with Radiologists and Invasive Component Size at Pathologic Examination.
Ahn Y; Lee SM; Noh HN; Kim W; Choe J; Do KH; Seo JB
Radiology; 2021 Apr; 299(1):202-210. PubMed ID: 33529136
[TBL] [Abstract][Full Text] [Related]
15. Radiologic-Pathologic Correlation of Solid Portions on Thin-section CT Images in Lung Adenocarcinoma: A Multicenter Study.
Yanagawa M; Kusumoto M; Johkoh T; Noguchi M; Minami Y; Sakai F; Asamura H; Tomiyama N;
Clin Lung Cancer; 2018 May; 19(3):e303-e312. PubMed ID: 29307591
[TBL] [Abstract][Full Text] [Related]
16. Inter-reader variability when applying the 2013 Fleischner guidelines for potential solitary subsolid lung nodules.
Penn A; Ma M; Chou BB; Tseng JR; Phan P
Acta Radiol; 2015 Oct; 56(10):1180-6. PubMed ID: 25293951
[TBL] [Abstract][Full Text] [Related]
17. Solid Components in the Mediastinal Window of Computed Tomography Define a Distinct Subtype of Subsolid Nodules in Clinical Stage I Lung Cancers.
Yin J; Xi J; Liang J; Zhan C; Jiang W; Lin Z; Xu S; Wang Q
Clin Lung Cancer; 2021 Jul; 22(4):324-331. PubMed ID: 33789831
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. CT Evaluation for Clinical Lung Cancer Staging: Do Multiplanar Measurements Better Reflect Pathologic T-Stage than Axial Measurements?
Park S; Lee SM; Choe J; Lee JG; Lee SM; Do KH; Seo JB
Korean J Radiol; 2019 Jul; 20(7):1207-1215. PubMed ID: 31270984
[TBL] [Abstract][Full Text] [Related]
20. Clinical T categorization in stage IA lung adenocarcinomas: prognostic implications of CT display window settings for solid portion measurement.
Kim H; Goo JM; Kim YT; Park CM
Eur Radiol; 2019 Nov; 29(11):6069-6079. PubMed ID: 31016444
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
