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 *

295 related articles for article (PubMed ID: 36219519)

  • 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. Predictive value of MRI-based deep learning model for lymphovascular invasion status in node-negative invasive breast cancer.
    Liang R; Li F; Yao J; Tong F; Hua M; Liu J; Shi C; Sui L; Lu H
    Sci Rep; 2024 Jul; 14(1):16204. PubMed ID: 39003325
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A delta-radiomic lymph node model using dynamic contrast enhanced MRI for the early prediction of axillary response after neoadjuvant chemotherapy in breast cancer patients.
    Liu S; Du S; Gao S; Teng Y; Jin F; Zhang L
    BMC Cancer; 2023 Jan; 23(1):15. PubMed ID: 36604679
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer.
    Hong M; Fan S; Xu Z; Fang Z; Ling K; Lai P; Han C; Chen Z; Hou J; Liang Y; Zhou C; Wang J; Chen X; Huang Y; Xu M
    J Transl Med; 2024 Sep; 22(1):826. PubMed ID: 39243024
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Artificial intelligence assisted ultrasound for the non-invasive prediction of axillary lymph node metastasis in breast cancer.
    Wang X; Nie L; Zhu Q; Zuo Z; Liu G; Sun Q; Zhai J; Li J
    BMC Cancer; 2024 Jul; 24(1):910. PubMed ID: 39075447
    [TBL] [Abstract][Full Text] [Related]  

  • 27. MRI-Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning.
    Cong C; Li X; Zhang C; Zhang J; Sun K; Liu L; Ambale-Venkatesh B; Chen X; Wang Y
    J Magn Reson Imaging; 2024 Jan; 59(1):148-161. PubMed ID: 37013422
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Deep Learning Prediction of Axillary Lymph Node Metastasis in Breast Cancer Patients Using Clinical Implication-Applied Preprocessed CT Images.
    Park TY; Kwon LM; Hyeon J; Cho BJ; Kim BJ
    Curr Oncol; 2024 Apr; 31(4):2278-2288. PubMed ID: 38668072
    [No Abstract]   [Full Text] [Related]  

  • 29. Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
    Zhu Y; Ma Y; Zhai Z; Liu A; Wang Y; Zhang Y; Li H; Zhao M; Han P; Yin L; He N; Wu Y; Sechopoulos I; Ye Z; Caballo M
    Eur Radiol; 2024 Apr; 34(4):2576-2589. PubMed ID: 37782338
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer.
    Song D; Yang F; Zhang Y; Guo Y; Qu Y; Zhang X; Zhu Y; Cui S
    Cancer Imaging; 2022 Apr; 22(1):17. PubMed ID: 35379339
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.
    Zhou LQ; Wu XL; Huang SY; Wu GG; Ye HR; Wei Q; Bao LY; Deng YB; Li XR; Cui XW; Dietrich CF
    Radiology; 2020 Jan; 294(1):19-28. PubMed ID: 31746687
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer.
    Chen Y; Xie Y; Li B; Shao H; Na Z; Wang Q; Jing H
    BMC Cancer; 2023 Apr; 23(1):340. PubMed ID: 37055722
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Magnetic resonance imaging features for predicting axillary lymph node metastasis in patients with breast cancer.
    Zhao M; Wu Q; Guo L; Zhou L; Fu K
    Eur J Radiol; 2020 Aug; 129():109093. PubMed ID: 32512504
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer.
    Song BI
    Breast Cancer; 2021 May; 28(3):664-671. PubMed ID: 33454875
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
    Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
    JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Diagnostic accuracy of pre-operative breast magnetic resonance imaging (MRI) in predicting axillary lymph node metastasis: variations in intrinsic subtypes, and strategy to improve negative predictive value-an analysis of 2473 invasive breast cancer patients.
    Chen ST; Lai HW; Chang JH; Liao CY; Wen TC; Wu WP; Wu HK; Lin YJ; Chang YJ; Chen ST; Chen DR; Huang HI; Hung CL
    Breast Cancer; 2023 Nov; 30(6):976-985. PubMed ID: 37500823
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer.
    Zhang X; Yang Z; Cui W; Zheng C; Li H; Li Y; Lu L; Mao J; Zeng W; Yang X; Zheng J; Shen J
    Eur Radiol; 2021 Aug; 31(8):5924-5939. PubMed ID: 33569620
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Development of MRI-Based Deep Learning Signature for Prediction of Axillary Response After NAC in Breast Cancer.
    Zhang B; Yu Y; Mao Y; Wang H; Lv M; Su X; Wang Y; Li Z; Zhang Z; Bian T; Wang Q
    Acad Radiol; 2024 Mar; 31(3):800-811. PubMed ID: 37914627
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Axillary lymph node metastasis status prediction of early-stage breast cancer using convolutional neural networks.
    Lee YW; Huang CS; Shih CC; Chang RF
    Comput Biol Med; 2021 Mar; 130():104206. PubMed ID: 33421823
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 15.