716 related articles for article (PubMed ID: 31182167)
1. Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?
Digumarthy SR; Padole AM; Rastogi S; Price M; Mooradian MJ; Sequist LV; Kalra MK
Cancer Imaging; 2019 Jun; 19(1):36. PubMed ID: 31182167
[TBL] [Abstract][Full Text] [Related]
2. Prediction of Interval Growth of Lung Adenocarcinomas Manifesting as Persistent Subsolid Nodules ≤3 cm Based on Radiomic Features.
Wu FZ; Wu YJ; Chen CS; Tang EK
Acad Radiol; 2023 Dec; 30(12):2856-2869. PubMed ID: 37080884
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. Computed Tomography-Based Radiomics Signature: A Potential Indicator of Epidermal Growth Factor Receptor Mutation in Pulmonary Adenocarcinoma Appearing as a Subsolid Nodule.
Yang X; Dong X; Wang J; Li W; Gu Z; Gao D; Zhong N; Guan Y
Oncologist; 2019 Nov; 24(11):e1156-e1164. PubMed ID: 30936378
[TBL] [Abstract][Full Text] [Related]
7. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
[TBL] [Abstract][Full Text] [Related]
8. Effect of CT Reconstruction Algorithm on the Diagnostic Performance of Radiomics Models: A Task-Based Approach for Pulmonary Subsolid Nodules.
Kim H; Park CM; Gwak J; Hwang EJ; Lee SY; Jung J; Hong H; Goo JM
AJR Am J Roentgenol; 2019 Mar; 212(3):505-512. PubMed ID: 30476456
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Comparison of a radiomic biomarker with volumetric analysis for decoding tumour phenotypes of lung adenocarcinoma with different disease-specific survival.
Yuan M; Zhang YD; Pu XH; Zhong Y; Li H; Wu JF; Yu TF
Eur Radiol; 2017 Nov; 27(11):4857-4865. PubMed ID: 28523350
[TBL] [Abstract][Full Text] [Related]
11. Utility of CT radiomics for prediction of PD-L1 expression in advanced lung adenocarcinomas.
Yoon J; Suh YJ; Han K; Cho H; Lee HJ; Hur J; Choi BW
Thorac Cancer; 2020 Apr; 11(4):993-1004. PubMed ID: 32043309
[TBL] [Abstract][Full Text] [Related]
12. The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules.
She Y; Zhang L; Zhu H; Dai C; Xie D; Xie H; Zhang W; Zhao L; Zou L; Fei K; Sun X; Chen C
Eur Radiol; 2018 Dec; 28(12):5121-5128. PubMed ID: 29869172
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features.
Zhang R; Sun H; Chen B; Xu R; Li W
J Thorac Dis; 2021 Jul; 13(7):4156-4168. PubMed ID: 34422345
[TBL] [Abstract][Full Text] [Related]
17. Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
Digumarthy SR; Padole AM; Gullo RL; Sequist LV; Kalra MK
Medicine (Baltimore); 2019 Jan; 98(1):e13963. PubMed ID: 30608433
[TBL] [Abstract][Full Text] [Related]
18. Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
Wu G; Woodruff HC; Shen J; Refaee T; Sanduleanu S; Ibrahim A; Leijenaar RTH; Wang R; Xiong J; Bian J; Wu J; Lambin P
Radiology; 2020 Nov; 297(2):451-458. PubMed ID: 32840472
[TBL] [Abstract][Full Text] [Related]
19. [Value of CT Features on Differential Diagnosis of Pulmonary Subsolid Nodules and Degree of invasion Prediction in Pulmonary Adenocarcinoma].
Guo F; Li X; Wang X; Zheng W; Wang Q; Song W; Yu T; Fan Y; Wang Y
Zhongguo Fei Ai Za Zhi; 2018 Jun; 21(6):451-457. PubMed ID: 29945703
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
