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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

442 related articles for article (PubMed ID: 33968722)

  • 1. Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma
    Shi L; Shi W; Peng X; Zhan Y; Zhou L; Wang Y; Feng M; Zhao J; Shan F; Liu L
    Front Oncol; 2021; 11():618677. PubMed ID: 33968722
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of a novel nomogram-based model incorporating 3D radiomic signatures and lung CT radiological features for differentiating invasive adenocarcinoma from adenocarcinoma in situ and minimally invasive adenocarcinoma.
    Ren H; Xiao Z; Ling C; Wang J; Wu S; Zeng Y; Li P
    Quant Imaging Med Surg; 2023 Jan; 13(1):237-248. PubMed ID: 36620176
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules.
    Zhao W; Xu Y; Yang Z; Sun Y; Li C; Jin L; Gao P; He W; Wang P; Shi H; Hua Y; Li M
    Eur J Radiol; 2019 Mar; 112():161-168. PubMed ID: 30777206
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Differentiating minimally invasive and invasive adenocarcinomas in patients with solitary sub-solid pulmonary nodules with a radiomics nomogram.
    Feng B; Chen X; Chen Y; Li Z; Hao Y; Zhang C; Li R; Liao Y; Zhang X; Huang Y; Long W
    Clin Radiol; 2019 Jul; 74(7):570.e1-570.e11. PubMed ID: 31056198
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Invasive Prediction of Ground Glass Nodule Based on Clinical Characteristics and Radiomics Feature.
    Zheng H; Zhang H; Wang S; Xiao F; Liao M
    Front Genet; 2021; 12():783391. PubMed ID: 35069686
    [No Abstract]   [Full Text] [Related]  

  • 7. Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules.
    Meng F; Guo Y; Li M; Lu X; Wang S; Zhang L; Zhang H
    Transl Oncol; 2021 Jan; 14(1):100936. PubMed ID: 33221688
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Predicting the Ki-67 proliferation index in pulmonary adenocarcinoma patients presenting with subsolid nodules: construction of a nomogram based on CT images.
    Yan J; Xue X; Gao C; Guo Y; Wu L; Zhou C; Chen F; Xu M
    Quant Imaging Med Surg; 2022 Jan; 12(1):642-652. PubMed ID: 34993108
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis.
    Yu Z; Xu C; Zhang Y; Ji F
    BMC Med Imaging; 2022 Jul; 22(1):133. PubMed ID: 35896975
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Development and validation of a preoperative CT‑based radiomics nomogram to differentiate tuberculosis granulomas from lung adenocarcinomas: an external validation study.
    Yang L; Jiang Z; Tong J; Li N; Dong Q; Wang K
    BMC Cancer; 2024 Jun; 24(1):670. PubMed ID: 38824514
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A delta-radiomics model for preoperative prediction of invasive lung adenocarcinomas manifesting as radiological part-solid nodules.
    Chen W; Wang R; Ma Z; Hua Y; Mao D; Wu H; Yang Y; Li C; Li M
    Front Oncol; 2022; 12():927974. PubMed ID: 36465372
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma.
    Tong Y; Li J; Chen J; Hu C; Xu Z; Duan S; Wang X; Yu R; Cheng X
    Front Oncol; 2022; 12():865548. PubMed ID: 35912185
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Bi-LSTM and multihead attention-based model incorporating radiomics signatures and radiological features for differentiating the main subtypes of lung adenocarcinoma.
    Ren J; Chen L; Xu H; Zheng X; Ren H
    Quant Imaging Med Surg; 2023 Jul; 13(7):4245-4256. PubMed ID: 37456282
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CT-Imaging Based Analysis of Invasive Lung Adenocarcinoma Presenting as Ground Glass Nodules Using Peri- and Intra-nodular Radiomic Features.
    Wu L; Gao C; Xiang P; Zheng S; Pang P; Xu M
    Front Oncol; 2020; 10():838. PubMed ID: 32537436
    [No Abstract]   [Full Text] [Related]  

  • 17. Value of
    Shao X; Niu R; Shao X; Jiang Z; Wang Y
    EJNMMI Res; 2020 Jul; 10(1):80. PubMed ID: 32661639
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinical and CT Radiomics Nomogram for Preoperative Differentiation of Pulmonary Adenocarcinoma From Tuberculoma in Solitary Solid Nodule.
    Zhuo Y; Zhan Y; Zhang Z; Shan F; Shen J; Wang D; Yu M
    Front Oncol; 2021; 11():701598. PubMed ID: 34712605
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer.
    Xie Y; Zhao H; Guo Y; Meng F; Liu X; Zhang Y; Huai X; Wong Q; Fu Y; Zhang H
    Eur Radiol; 2021 Aug; 31(8):6030-6038. PubMed ID: 33560457
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.