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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

303 related items for PubMed ID: 38088478

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. [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 23; 46(5):428-437. PubMed ID: 38742356
    [Abstract] [Full Text] [Related]

  • 3.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 4.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. Evaluating Tumor-Infiltrating Lymphocytes in Breast Cancer Using Preoperative MRI-Based Radiomics.
    Bian T, Wu Z, Lin Q, Mao Y, Wang H, Chen J, Chen Q, Fu G, Cui C, Su X.
    J Magn Reson Imaging; 2022 Mar 23; 55(3):772-784. PubMed ID: 34453461
    [Abstract] [Full Text] [Related]

  • 7. Radiomic Nomogram for Predicting Axillary Lymph Node Metastasis in Patients with Breast Cancer.
    Chen Y, Li J, Zhang J, Yu Z, Jiang H.
    Acad Radiol; 2024 Mar 23; 31(3):788-799. PubMed ID: 37932165
    [Abstract] [Full Text] [Related]

  • 8. Non-invasive prediction model of axillary lymph node status in patients with early-stage breast cancer: a feasibility study based on dynamic contrast-enhanced-MRI radiomics.
    Chen W, Lin G, Kong C, Wu X, Hu Y, Chen M, Xia S, Lu C, Xu M, Ji J.
    Br J Radiol; 2024 Feb 02; 97(1154):439-450. PubMed ID: 38308028
    [Abstract] [Full Text] [Related]

  • 9.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 10. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
    Liu C, Ding J, Spuhler K, Gao Y, Serrano Sosa M, Moriarty M, Hussain S, He X, Liang C, Huang C.
    J Magn Reson Imaging; 2019 Jan 02; 49(1):131-140. PubMed ID: 30171822
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram.
    Liu Y, Li X, Zhu L, Zhao Z, Wang T, Zhang X, Cai B, Li L, Ma M, Ma X, Ming J.
    Contrast Media Mol Imaging; 2022 Jan 02; 2022():6729473. PubMed ID: 36051932
    [Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15. Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.
    Yang X, Fan X, Lin S, Zhou Y, Liu H, Wang X, Zuo Z, Zeng Y.
    J Magn Reson Imaging; 2024 Jun 02; 59(6):2238-2249. PubMed ID: 37855421
    [Abstract] [Full Text] [Related]

  • 16. Intratumoral and Peritumoral Radiomics Based on Functional Parametric Maps from Breast DCE-MRI for Prediction of HER-2 and Ki-67 Status.
    Li C, Song L, Yin J.
    J Magn Reson Imaging; 2021 Sep 02; 54(3):703-714. PubMed ID: 33955619
    [Abstract] [Full Text] [Related]

  • 17. 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 02; 52(2):596-607. PubMed ID: 32061014
    [Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19. Radiomics-based analysis of dynamic contrast-enhanced magnetic resonance image: A prediction nomogram for lymphovascular invasion in breast cancer.
    Yang X, Wang X, Zuo Z, Zeng W, Liu H, Zhou L, Wen Y, Long C, Tan S, Li X, Zeng Y.
    Magn Reson Imaging; 2024 Oct 02; 112():89-99. PubMed ID: 38971267
    [Abstract] [Full Text] [Related]

  • 20.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 16.