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 *

241 related articles for article (PubMed ID: 36877755)

  • 1. Radiomics Analysis of Multiphasic Computed Tomography Images for Distinguishing High-Risk Thymic Epithelial Tumors From Low-Risk Thymic Epithelial Tumors.
    Liufu Y; Wen Y; Wu W; Su R; Liu S; Li J; Pan X; Chen K; Guan Y
    J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):220-228. PubMed ID: 36877755
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of a CT-texture analysis nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
    Ren C; Li M; Zhang Y; Zhang S
    Cancer Imaging; 2020 Dec; 20(1):86. PubMed ID: 33308325
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
    Chen X; Feng B; Xu K; Chen Y; Duan X; Jin Z; Li K; Li R; Long W; Liu X
    Eur Radiol; 2023 Oct; 33(10):6804-6816. PubMed ID: 37148352
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quantitative CT parameters combined with preoperative systemic inflammatory markers for differentiating risk subgroups of thymic epithelial tumors.
    Gao R; Zhou J; Zhang J; Zhu J; Wang T; Yan C
    BMC Cancer; 2023 Nov; 23(1):1158. PubMed ID: 38012604
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast‑enhanced computed tomography.
    Chen X; Feng B; Li C; Duan X; Chen Y; Li Z; Liu Z; Zhang C; Long W
    Oncol Rep; 2020 Apr; 43(4):1256-1266. PubMed ID: 32323834
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
    Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
    Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors.
    Yu C; Li T; Yang X; Zhang R; Xin L; Zhao Z; Cui J
    BMC Med Imaging; 2022 Mar; 22(1):37. PubMed ID: 35249531
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
    Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY
    Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CT-Based Radiomics Nomogram for Differentiation of Anterior Mediastinal Thymic Cyst From Thymic Epithelial Tumor.
    Zhang C; Yang Q; Lin F; Ma H; Zhang H; Zhang R; Wang P; Mao N
    Front Oncol; 2021; 11():744021. PubMed ID: 34956869
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes.
    Zhao W; Ozawa Y; Hara M; Okuda K; Hiwatashi A
    Jpn J Radiol; 2024 Apr; 42(4):367-373. PubMed ID: 38010596
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung.
    Chen Z; Yi L; Peng Z; Zhou J; Zhang Z; Tao Y; Lin Z; He A; Jin M; Zuo M
    Front Oncol; 2022; 12():949111. PubMed ID: 36505773
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The predictive value of a computed tomography-based radiomics model for the surgical separability of thymic epithelial tumors from the superior vena cava and the left innominate vein.
    Li Z; Wang F; Zhang H; Zheng H; Zhou X; Wang Z; Xie S; Peng L; Wang X; Wang Y
    Quant Imaging Med Surg; 2023 Sep; 13(9):5622-5640. PubMed ID: 37711814
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients.
    Li Q; Song Z; Zhang D; Li X; Liu Q; Yu J; Li Z; Zhang J; Ren X; Wen Y; Tang Z
    Front Oncol; 2022; 12():992906. PubMed ID: 36276058
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Differentiating low-risk thymomas from high-risk thymomas: preoperative radiomics nomogram based on contrast enhanced CT to minimize unnecessary invasive thoracotomy.
    Gao C; Yang L; Xu Y; Wang T; Ding H; Gao X; Li L
    BMC Med Imaging; 2024 Aug; 24(1):197. PubMed ID: 39090610
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantitative computed tomography texture analysis for estimating histological subtypes of thymic epithelial tumors.
    Yasaka K; Akai H; Nojima M; Shinozaki-Ushiku A; Fukayama M; Nakajima J; Ohtomo K; Kiryu S
    Eur J Radiol; 2017 Jul; 92():84-92. PubMed ID: 28624025
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a contrast-enhanced CT-based radiomics nomogram for differentiating mass-like thymic hyperplasia and low-risk thymoma.
    Dong W; Xiong S; Wang X; Hu S; Liu Y; Liu H; Wang X; Chen J; Qiu Y; Fan B
    J Cancer Res Clin Oncol; 2023 Nov; 149(16):14901-14910. PubMed ID: 37604939
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preoperative contrast-enhanced CT-based radiomics nomogram for differentiating benign and malignant primary retroperitoneal tumors.
    Xu J; Guo J; Yang HQ; Ji QL; Song RJ; Hou F; Liang HY; Liu SL; Tian LT; Wang HX
    Eur Radiol; 2023 Oct; 33(10):6781-6793. PubMed ID: 37148350
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
    Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
    Front Oncol; 2022; 12():944005. PubMed ID: 36081562
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours.
    Hu J; Zhao Y; Li M; Liu Y; Wang F; Weng Q; You R; Cao D
    Eur J Radiol; 2020 May; 126():108929. PubMed ID: 32169748
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of a contrast-enhanced CT-based radiomics nomogram for preoperative diagnosis in neuroendocrine carcinoma of digestive system.
    Xu L; Yang X; Xiang W; Hu P; Zhang X; Li Z; Li Y; Liu Y; Dai Y; Luo Y; Qiu H
    Front Endocrinol (Lausanne); 2023; 14():1155307. PubMed ID: 37124722
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.