These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
196 related articles for article (PubMed ID: 37624396)
1. A nomogram for predicting invasiveness of lung adenocarcinoma manifesting as pure ground-glass nodules: incorporating subjective CT signs and histogram parameters based on artificial intelligence. Gao R; Gao Y; Zhang J; Zhu C; Zhang Y; Yan C J Cancer Res Clin Oncol; 2023 Nov; 149(17):15323-15333. PubMed ID: 37624396 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. CT quantitative parameters to predict the invasiveness of lung pure ground-glass nodules (pGGNs). Han L; Zhang P; Wang Y; Gao Z; Wang H; Li X; Ye Z Clin Radiol; 2018 May; 73(5):504.e1-504.e7. PubMed ID: 29397913 [TBL] [Abstract][Full Text] [Related]
5. Analysis of CT morphologic features and attenuation for differentiating among transient lesions, atypical adenomatous hyperplasia, adenocarcinoma in situ, minimally invasive and invasive adenocarcinoma presenting as pure ground-glass nodules. Qi L; Xue K; Li C; He W; Mao D; Xiao L; Hua Y; Li M Sci Rep; 2019 Oct; 9(1):14586. PubMed ID: 31601919 [TBL] [Abstract][Full Text] [Related]
6. Histogram analysis combined with morphological characteristics to discriminate adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma appearing as pure ground-glass nodule. Zhang T; Pu XH; Yuan M; Zhong Y; Li H; Wu JF; Yu TF Eur J Radiol; 2019 Apr; 113():238-244. PubMed ID: 30927953 [TBL] [Abstract][Full Text] [Related]
7. A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules. Zhu M; Yang Z; Wang M; Zhao W; Zhu Q; Shi W; Yu H; Liang Z; Chen L Respir Res; 2022 Apr; 23(1):96. PubMed ID: 35429974 [TBL] [Abstract][Full Text] [Related]
8. Computed Tomography Findings for Predicting Invasiveness of Lung Adenocarcinomas Manifesting as Pure Ground-Glass Nodules. Park J; Doo KW; Sung YE; Jung JI; Chang S Can Assoc Radiol J; 2023 Feb; 74(1):137-146. PubMed ID: 35840350 [No Abstract] [Full Text] [Related]
9. Identification of pathological subtypes of early lung adenocarcinoma based on artificial intelligence parameters and CT signs. Fang W; Zhang G; Yu Y; Chen H; Liu H Biosci Rep; 2022 Jan; 42(1):. PubMed ID: 35005775 [TBL] [Abstract][Full Text] [Related]
10. Computed tomography radiomics-based distinction of invasive adenocarcinoma from minimally invasive adenocarcinoma manifesting as pure ground-glass nodules with bubble-like signs. Jiang Y; Xiong Z; Zhao W; Zhang J; Guo Y; Li G; Li Z Gen Thorac Cardiovasc Surg; 2022 Oct; 70(10):880-890. PubMed ID: 35301662 [TBL] [Abstract][Full Text] [Related]
11. Discriminating invasive adenocarcinoma among lung pure ground-glass nodules: a multi-parameter prediction model. Hu F; Huang H; Jiang Y; Feng M; Wang H; Tang M; Zhou Y; Tan X; Liu Y; Xu C; Ding N; Bai C; Hu J; Yang D; Zhang Y J Thorac Dis; 2021 Sep; 13(9):5383-5394. PubMed ID: 34659805 [TBL] [Abstract][Full Text] [Related]
12. Nomogram for Predicting the Risk of Invasive Pulmonary Adenocarcinoma for Pure Ground-Glass Nodules. Wang L; Shen W; Xi Y; Liu S; Zheng D; Jin C Ann Thorac Surg; 2018 Apr; 105(4):1058-1064. PubMed ID: 29452996 [TBL] [Abstract][Full Text] [Related]
13. Lung-PNet: An Automated Deep Learning Model for the Diagnosis of Invasive Adenocarcinoma in Pure Ground-Glass Nodules on Chest CT. Qi K; Wang K; Wang X; Zhang YD; Lin G; Zhang X; Liu H; Huang W; Wu J; Zhao K; Liu J; Li J; Zhang X AJR Am J Roentgenol; 2024 Jan; 222(1):e2329674. PubMed ID: 37493322 [No Abstract] [Full Text] [Related]
14. A nomogram based on the quantitative and qualitative features of CT imaging for the prediction of the invasiveness of ground glass nodules in lung adenocarcinoma. Yang Y; Xu J; Wang W; Ma M; Huang Q; Zhou C; Zhao J; Duan Y; Luo J; Jiang J; Ye L BMC Cancer; 2024 Apr; 24(1):438. PubMed ID: 38594670 [TBL] [Abstract][Full Text] [Related]
15. CT Characteristics for Predicting Invasiveness in Pulmonary Pure Ground-Glass Nodules. Chu ZG; Li WJ; Fu BJ; Lv FJ AJR Am J Roentgenol; 2020 Aug; 215(2):351-358. PubMed ID: 32348187 [No Abstract] [Full Text] [Related]
16. Quantitative CT analysis of pulmonary pure ground-glass nodule predicts histological invasiveness. Li Q; Fan L; Cao ET; Li QC; Gu YF; Liu SY Eur J Radiol; 2017 Apr; 89():67-71. PubMed ID: 28267551 [TBL] [Abstract][Full Text] [Related]
17. Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules. Chen W; Li M; Mao D; Ge X; Wang J; Tan M; Ma W; Huang X; Lu J; Li C; Hua Y; Wu H Sci Rep; 2021 Feb; 11(1):3633. PubMed ID: 33574448 [TBL] [Abstract][Full Text] [Related]
18. A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images. Gong J; Liu J; Hao W; Nie S; Zheng B; Wang S; Peng W Eur Radiol; 2020 Apr; 30(4):1847-1855. PubMed ID: 31811427 [TBL] [Abstract][Full Text] [Related]
19. The value of percentile base on computed tomography histogram in differentiating the invasiveness of adenocarcinoma appearing as pure ground-glass nodules. Hu D; Zhen T; Ruan M; Wu L Medicine (Baltimore); 2020 Nov; 99(45):e23114. PubMed ID: 33157987 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]