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 *

174 related articles for article (PubMed ID: 37088646)

  • 21. Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography.
    Wang Q; Lin Y; Ding C; Guan W; Zhang X; Jia J; Zhou W; Liu Z; Bai G
    Eur Radiol; 2024 Sep; 34(9):6121-6131. PubMed ID: 38337068
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Ultrasound-based radiomics nomogram: A potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer.
    Yu FH; Wang JX; Ye XH; Deng J; Hang J; Yang B
    Eur J Radiol; 2019 Oct; 119():108658. PubMed ID: 31521878
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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; 31(3):788-799. PubMed ID: 37932165
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammography.
    Mao N; Shi Y; Lian C; Wang Z; Zhang K; Xie H; Zhang H; Chen Q; Cheng G; Xu C; Dai Y
    Eur Radiol; 2022 May; 32(5):3207-3219. PubMed ID: 35066632
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Radiomics model based on shear-wave elastography in the assessment of axillary lymph node status in early-stage breast cancer.
    Jiang M; Li CL; Luo XM; Chuan ZR; Chen RX; Tang SC; Lv WZ; Cui XW; Dietrich CF
    Eur Radiol; 2022 Apr; 32(4):2313-2325. PubMed ID: 34671832
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The use of longitudinal CT-based radiomics and clinicopathological features predicts the pathological complete response of metastasized axillary lymph nodes in breast cancer.
    Wang J; Tian C; Zheng BJ; Zhang J; Jiao DC; Qu JR; Liu ZZ
    BMC Cancer; 2024 May; 24(1):549. PubMed ID: 38693523
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Comparison of Traditional Radiomics, Deep Learning Radiomics and Fusion Methods for Axillary Lymph Node Metastasis Prediction in Breast Cancer.
    Li X; Yang L; Jiao X
    Acad Radiol; 2023 Jul; 30(7):1281-1287. PubMed ID: 36376154
    [TBL] [Abstract][Full Text] [Related]  

  • 31. MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study.
    Li H; Chen XL; Liu H; Liu YS; Li ZL; Pang MH; Pu H
    Eur Radiol; 2023 Nov; 33(11):7561-7572. PubMed ID: 37160427
    [TBL] [Abstract][Full Text] [Related]  

  • 32. MRI-based peritumoral radiomics analysis for preoperative prediction of lymph node metastasis in early-stage cervical cancer: A multi-center study.
    Shi J; Dong Y; Jiang W; Qin F; Wang X; Cui L; Liu Y; Jin Y; Luo Y; Jiang X
    Magn Reson Imaging; 2022 May; 88():1-8. PubMed ID: 34968703
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI.
    Gao J; Zhong X; Li W; Li Q; Shao H; Wang Z; Dai Y; Ma H; Shi Y; Zhang H; Duan S; Zhang K; Yang P; Zhao F; Zhang H; Xie H; Mao N
    J Magn Reson Imaging; 2023 Jun; 57(6):1842-1853. PubMed ID: 36219519
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Development and validation of radiomics machine learning model based on contrast-enhanced computed tomography to predict axillary lymph node metastasis in breast cancer.
    Zhang J; Cao G; Pang H; Li J; Yao X
    Biomol Biomed; 2023 Mar; 23(2):317-326. PubMed ID: 36226600
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Clinical study on the prediction of ALN metastasis based on intratumoral and peritumoral DCE-MRI radiomics and clinico-radiological characteristics in breast cancer.
    Wang Y; Shang Y; Guo Y; Hai M; Gao Y; Wu Q; Li S; Liao J; Sun X; Wu Y; Wang M; Tan H
    Front Oncol; 2024; 14():1357145. PubMed ID: 38567148
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence.
    Tan H; Gan F; Wu Y; Zhou J; Tian J; Lin Y; Wang M
    Acad Radiol; 2020 Sep; 27(9):1217-1225. PubMed ID: 31879160
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Could Ultrasound-Based Radiomics Noninvasively Predict Axillary Lymph Node Metastasis in Breast Cancer?
    Qiu X; Jiang Y; Zhao Q; Yan C; Huang M; Jiang T
    J Ultrasound Med; 2020 Oct; 39(10):1897-1905. PubMed ID: 32329142
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A radiomics model development via the associations with genomics features in predicting axillary lymph node metastasis of breast cancer: a study based on a public database and single-centre verification.
    Chen H; Wang X; Lan X; Yu T; Li L; Tang S; Liu S; Jiang F; Wang L; Zhang J
    Clin Radiol; 2023 Mar; 78(3):e279-e287. PubMed ID: 36623978
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.