157 related articles for article (PubMed ID: 38356825)
1. Application of artificial intelligence-based dual source CT scanning in the differentiation of lung adenocarcinoma in situ and minimally invasive adenocarcinoma.
Liu L; Ni Z; Zhang J; Zhao J; Shen J
Pak J Med Sci; 2024; 40(3Part-II):271-276. PubMed ID: 38356825
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. [CT diagnosis of different pathological types of ground-glass nodules].
Gao F; Ge XJ; Li M; Chen Y; Lyu F; Hua Y; Ren Q; Qi L
Zhonghua Zhong Liu Za Zhi; 2014 Mar; 36(3):188-92. PubMed ID: 24785278
[TBL] [Abstract][Full Text] [Related]
4. High resolution CT in differentiating minimally invasive component in early lung adenocarcinoma.
Zhang Y; Qiang JW; Ye JD; Ye XD; Zhang J
Lung Cancer; 2014 Jun; 84(3):236-41. PubMed ID: 24679953
[TBL] [Abstract][Full Text] [Related]
5. Morphological factors differentiating between early lung adenocarcinomas appearing as pure ground-glass nodules measuring ≤10 mm on thin-section computed tomography.
Xiang W; Xing Y; Jiang S; Chen G; Mao H; Labh K; Jia X; Sun X
Cancer Imaging; 2014 Nov; 14(1):33. PubMed ID: 25608623
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. CT-Assisted Improvements in the Accuracy of the Intraoperative Frozen Section Examination of Ground-Glass Density Nodules.
Xinli W; Xiaoshuang S; Chengxin Y; Qiang Z
Comput Math Methods Med; 2022; 2022():8967643. PubMed ID: 35035526
[TBL] [Abstract][Full Text] [Related]
8. CT Texture Analysis for Differentiating Bronchiolar Adenoma, Adenocarcinoma
Sun J; Liu K; Tong H; Liu H; Li X; Luo Y; Li Y; Yao Y; Jin R; Fang J; Chen X
Front Oncol; 2021; 11():634564. PubMed ID: 33981603
[No Abstract] [Full Text] [Related]
9. HRCT texture analysis for pure or part-solid ground-glass nodules: distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma.
Yagi T; Yamazaki M; Ohashi R; Ogawa R; Ishikawa H; Yoshimura N; Tsuchida M; Ajioka Y; Aoyama H
Jpn J Radiol; 2018 Feb; 36(2):113-121. PubMed ID: 29273964
[TBL] [Abstract][Full Text] [Related]
10. [Differential diagnosis of the MDCT features between lung adenocarcinoma preinvasive lesions and minimally invasive adenocarcinoma appearing as ground-glass nodules].
Liu J; Li W; Huang Y; Mu D; Yu H; Li S
Zhonghua Zhong Liu Za Zhi; 2015 Aug; 37(8):611-6. PubMed ID: 26714603
[TBL] [Abstract][Full Text] [Related]
11. Discriminating between bronchiolar adenoma, adenocarcinoma in situ and minimally invasive adenocarcinoma of the lung with CT.
Cao L; Wang Z; Gong T; Wang J; Liu J; Jin L; Yuan Q
Diagn Interv Imaging; 2020 Dec; 101(12):831-837. PubMed ID: 32482582
[TBL] [Abstract][Full Text] [Related]
12. [Value of CT Quantitative Parameters in Prediction of Pathological Types
of Lung Ground Glass Nodules].
Shi Y; Shen Y; Chen J; Yan W; Liu K
Zhongguo Fei Ai Za Zhi; 2024 Feb; 27(2):118-125. PubMed ID: 38453443
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
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. 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]
17. Value of TSCT Features for Differentiating Preinvasive and Minimally Invasive Adenocarcinoma From Invasive Adenocarcinoma Presenting as Subsolid Nodules Smaller Than 3 cm.
Wang H; Weng Q; Hui J; Fang S; Wu X; Mao W; Chen M; Zheng L; Wang Z; Zhao Z; Zhou L; Tu J; Xu M; Huang Y; Ji J
Acad Radiol; 2020 Mar; 27(3):395-403. PubMed ID: 31201034
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma.
Xu F; Zhu W; Shen Y; Wang J; Xu R; Qutesh C; Song L; Gan Y; Pu C; Hu H
Front Oncol; 2020; 10():872. PubMed ID: 32850301
[No Abstract] [Full Text] [Related]
20. 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]
[Next] [New Search]