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 *

344 related articles for article (PubMed ID: 33647031)

  • 21. Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer.
    Chen Y; Wang L; Dong X; Luo R; Ge Y; Liu H; Zhang Y; Wang D
    J Digit Imaging; 2023 Aug; 36(4):1323-1331. PubMed ID: 36973631
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 3D CT Radiomic Analysis Improves Detection of Axillary Lymph Node Metastases Compared to Conventional Features in Patients With Locally Advanced Breast Cancer.
    Barszczyk M; Singh N; Alikhassi A; Van Oirschot M; Kuling G; Kiss A; Gandhi S; Nofech-Mozes S; Look Hong N; Bilbily A; Martel A; Matsuura N; Curpen B
    J Breast Imaging; 2024 Jul; 6(4):397-406. PubMed ID: 38752527
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Non-invasive prediction of axillary lymph node dissection exemption in breast cancer patients post-neoadjuvant therapy: A radiomics and deep learning analysis on longitudinal DCE-MRI data.
    Yu Y; Chen R; Yi J; Huang K; Yu X; Zhang J; Song C
    Breast; 2024 Oct; 77():103786. PubMed ID: 39137488
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Value of Contrast-Enhanced Ultrasound Combined with Immune-Inflammatory Markers in Predicting Axillary Lymph Node Metastasis of Breast Cancer.
    Song Y; Liu J; Jin C; Zheng Y; Zhao Y; Zhang K; Zhou M; Zhao D; Hou L; Dong F
    Acad Radiol; 2024 Sep; 31(9):3535-3545. PubMed ID: 38918153
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Added Value of MRI for Invasive Breast Cancer including the Entire Axilla for Evaluation of High-Level or Advanced Axillary Lymph Node Metastasis in the Post-ACOSOG Z0011 Trial Era.
    Byon JH; Park YV; Yoon JH; Moon HJ; Kim EK; Kim MJ; You JK
    Radiology; 2021 Jul; 300(1):46-54. PubMed ID: 33904772
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Usefulness of preoperative breast magnetic resonance imaging with a dedicated axillary sequence for the detection of axillary lymph node metastasis in patients with early ductal breast cancer.
    Ahn HS; Jang M; Kim SM; La Yun B; Lee SH
    Radiol Med; 2019 Dec; 124(12):1220-1228. PubMed ID: 31422573
    [TBL] [Abstract][Full Text] [Related]  

  • 27. An unsupervised learning model based on CT radiomics features accurately predicts axillary lymph node metastasis in breast cancer patients: diagnostic study.
    Qu L; Mei X; Yi Z; Zou Q; Zhou Q; Zhang D; Zhou M; Pei L; Long Q; Meng J; Zhang H; Chen Q; Yi W
    Int J Surg; 2024 Sep; 110(9):5363-5373. PubMed ID: 38847776
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Radiomic features of Pk-DCE MRI parameters based on the extensive Tofts model in application of breast cancer.
    Zhou X; Gao F; Duan S; Zhang L; Liu Y; Zhou J; Bai G; Tao W
    Phys Eng Sci Med; 2020 Jun; 43(2):517-524. PubMed ID: 32524436
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Pharmacokinetic parameters and radiomics model based on dynamic contrast enhanced MRI for the preoperative prediction of sentinel lymph node metastasis in breast cancer.
    Liu M; Mao N; Ma H; Dong J; Zhang K; Che K; Duan S; Zhang X; Shi Y; Xie H
    Cancer Imaging; 2020 Sep; 20(1):65. PubMed ID: 32933585
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer.
    Chung J; Youk JH; Kim JA; Gweon HM; Kim EK; Ryu YH; Son EJ
    Acta Radiol; 2014 Oct; 55(8):909-16. PubMed ID: 24234236
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer.
    Liu Y; Luo H; Wang C; Chen X; Wang M; Zhou P; Ren J
    Acta Radiol; 2022 Apr; 63(4):447-457. PubMed ID: 33779304
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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; 2022():6729473. PubMed ID: 36051932
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI.
    Wang Z; Sun H; Li J; Chen J; Meng F; Li H; Han L; Zhou S; Yu T
    J Magn Reson Imaging; 2022 Sep; 56(3):700-709. PubMed ID: 35108415
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Multiregional dynamic contrast-enhanced MRI-based integrated system for predicting pathological complete response of axillary lymph node to neoadjuvant chemotherapy in breast cancer: multicentre study.
    Li Z; Gao J; Zhou H; Li X; Zheng T; Lin F; Wang X; Chu T; Wang Q; Wang S; Cao K; Liang Y; Zhao F; Xie H; Xu C; Zhang H; Niu Q; Ma H; Mao N
    EBioMedicine; 2024 Sep; 107():105311. PubMed ID: 39191174
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Risk Stratification For Axillary Lymph Node Metastases in Breast Cancer Patients: What Clinicopathological and Radiological Factors of Primary Breast Cancer Can Predict Preoperatively Axillary Lymph Node Metastases?
    Yun SJ; Sohn YM; Seo M
    Ultrasound Q; 2017 Mar; 33(1):15-22. PubMed ID: 27428815
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.
    Liu S; Zhou Y; Wang C; Shen J; Zheng Y
    BMC Med Imaging; 2023 Aug; 23(1):101. PubMed ID: 37528338
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era.
    Schacht DV; Drukker K; Pak I; Abe H; Giger ML
    Eur J Radiol; 2015 Mar; 84(3):392-397. PubMed ID: 25547328
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Radiomics model based on features of axillary lymphatic nodes to predict axillary lymphatic node metastasis in breast cancer.
    Tang Y; Che X; Wang W; Su S; Nie Y; Yang C
    Med Phys; 2022 Dec; 49(12):7555-7566. PubMed ID: 35869750
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model.
    Zhang X; Liu M; Ren W; Sun J; Wang K; Xi X; Zhang G
    Front Oncol; 2022; 12():1069733. PubMed ID: 36561533
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Intra-peritumoral Textural Transition Analysis based on Dynamic Contrast-enhanced Magnetic Resonance Imaging.
    Zhan C; Hu Y; Wang X; Liu H; Xia L; Ai T
    Acad Radiol; 2022 Jan; 29 Suppl 1():S107-S115. PubMed ID: 33712393
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 18.