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 *

574 related articles for article (PubMed ID: 38742356)

  • 1. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model].
    Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH
    Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356
    [No Abstract]   [Full Text] [Related]  

  • 2. Radiomics Nomogram Based on Dual-Sequence MRI for Assessing Ki-67 Expression in Breast Cancer.
    Zhang L; Shen M; Zhang D; He X; Du Q; Liu N; Huang X
    J Magn Reson Imaging; 2024 Sep; 60(3):1203-1212. PubMed ID: 38088478
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiparametric MRI-based radiomics nomogram for predicting the hormone receptor status of HER2-positive breast cancer.
    Sang L; Liu Z; Huang C; Xu J; Wang H
    Clin Radiol; 2024 Jan; 79(1):60-66. PubMed ID: 37838543
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
    Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
    J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multiphases DCE-MRI Radiomics Nomogram for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer.
    Ma Q; Lu X; Chen Q; Gong H; Lei J
    Acad Radiol; 2024 Dec; 31(12):4743-4758. PubMed ID: 39107190
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of MRI Radiomics Models in Evaluating the Low HER2 Expression in Breast Cancer.
    Li H; Hou Y; Xue LY; Fan WL; Gao BL; Yin XP
    Curr Med Imaging; 2024; 20():e15734056234429. PubMed ID: 38726785
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of Lymphovascular Space Invision in Endometrial Cancer based on Multi-parameter MRI Radiomics Model.
    Wang JJ; Zhang XH; Guo XH; Ying Y; Wang X; Luan ZH; Lv WQ; Wang PF
    Curr Med Imaging; 2024 Mar; ():. PubMed ID: 38529651
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase.
    Tang WJ; Kong QC; Cheng ZX; Liang YS; Jin Z; Chen LX; Hu WK; Liang YY; Wei XH; Guo Y; Jiang XQ
    Eur Radiol; 2022 Feb; 32(2):864-875. PubMed ID: 34430998
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of lymphovascular invasion in invasive breast cancer based on clinical-MRI radiomics features.
    Zhang C; Zhou P; Li R; Li Z; Ouyang A
    BMC Med Imaging; 2024 Oct; 24(1):277. PubMed ID: 39415127
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Discrimination between HER2-overexpressing, -low-expressing, and -zero-expressing statuses in breast cancer using multiparametric MRI-based radiomics.
    Zheng S; Yang Z; Du G; Zhang Y; Jiang C; Xu T; Li B; Wang D; Qiu Y; Lin D; Zhang X; Shen J
    Eur Radiol; 2024 Sep; 34(9):6132-6144. PubMed ID: 38363315
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
    Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S
    J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
    Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
    World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
    Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An MRI-Based Radiomics Model for Predicting the Benignity and Malignancy of BI-RADS 4 Breast Lesions.
    Zhang R; Wei W; Li R; Li J; Zhou Z; Ma M; Zhao R; Zhao X
    Front Oncol; 2021; 11():733260. PubMed ID: 35155178
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A pretreatment multiparametric MRI-based radiomics-clinical machine learning model for predicting radiation-induced temporal lobe injury in patients with nasopharyngeal carcinoma.
    Wang L; Qiu T; Zhou J; Zhu Y; Sun B; Yang G; Huang S; Wu L; He X
    Head Neck; 2024 Sep; 46(9):2132-2144. PubMed ID: 38887926
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics based on T2-weighted and diffusion-weighted MR imaging for preoperative prediction of tumor deposits in rectal cancer.
    Sun Z; Xia F; Lv W; Li J; Zou Y; Wu J
    Am J Surg; 2024 Jun; 232():59-67. PubMed ID: 38272767
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predictive value of triple negative breast cancer based on DCE-MRI multi-phase full-volume ROI clinical radiomics model.
    Qi X; Wang W; Pan S; Liu G; Xia L; Duan S; He Y
    Acta Radiol; 2024 Feb; 65(2):173-184. PubMed ID: 38017694
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiomics Based on DCE-MRI for Predicting Response to Neoadjuvant Therapy in Breast Cancer.
    Zeng Q; Xiong F; Liu L; Zhong L; Cai F; Zeng X
    Acad Radiol; 2023 Sep; 30 Suppl 2():S38-S49. PubMed ID: 37169624
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
    Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L
    J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.
    Li C; Yin J
    Front Oncol; 2021; 11():671354. PubMed ID: 34041033
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 29.