BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

262 related articles for article (PubMed ID: 36987661)

  • 21. 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]  

  • 22. 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]  

  • 23. Radiomics nomogram based on digital breast tomosynthesis: preoperative evaluation of axillary lymph node metastasis in breast carcinoma.
    Xu M; Yang H; Yang Q; Teng P; Hao H; Liu C; Yu S; Liu G
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):9317-9328. PubMed ID: 37208454
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A nomogram based on radiomics signature and deep-learning signature for preoperative prediction of axillary lymph node metastasis in breast cancer.
    Wang D; Hu Y; Zhan C; Zhang Q; Wu Y; Ai T
    Front Oncol; 2022; 12():940655. PubMed ID: 36338691
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Ultrasound images-based deep learning radiomics nomogram for preoperative prediction of
    Yu J; Zhang Y; Zheng J; Jia M; Lu X
    Front Endocrinol (Lausanne); 2022; 13():1062571. PubMed ID: 36605945
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
    Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
    Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Ultrasonography and clinicopathological features of breast cancer in predicting axillary lymph node metastases.
    Xiong J; Zuo W; Wu Y; Wang X; Li W; Wang Q; Zhou H; Xie M; Qin X
    BMC Cancer; 2022 Nov; 22(1):1155. PubMed ID: 36352378
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep learning radiomics based prediction of axillary lymph node metastasis in breast cancer.
    Liu H; Zou L; Xu N; Shen H; Zhang Y; Wan P; Wen B; Zhang X; He Y; Gui L; Kong W
    NPJ Breast Cancer; 2024 Mar; 10(1):22. PubMed ID: 38472210
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. 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]  

  • 33. Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study.
    Tian Z; Cheng Y; Zhao S; Li R; Zhou J; Sun Q; Wang D
    Cancer Imaging; 2024 Apr; 24(1):52. PubMed ID: 38627828
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study.
    Mao N; Yin P; Li Q; Wang Q; Liu M; Ma H; Dong J; Che K; Wang Z; Duan S; Zhang X; Hong N; Xie H
    Eur Radiol; 2020 Dec; 30(12):6732-6739. PubMed ID: 32607630
    [TBL] [Abstract][Full Text] [Related]  

  • 35. MRI-Based Radiomics Nomogram: Prediction of Axillary Non-Sentinel Lymph Node Metastasis in Patients With Sentinel Lymph Node-Positive Breast Cancer.
    Qiu Y; Zhang X; Wu Z; Wu S; Yang Z; Wang D; Le H; Mao J; Dai G; Tian X; Zhou R; Huang J; Hu L; Shen J
    Front Oncol; 2022; 12():811347. PubMed ID: 35296027
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Optimized Radiomics Nomogram Based on Automated Breast Ultrasound System: A Potential Tool for Preoperative Prediction of Metastatic Lymph Node Burden in Breast Cancer.
    Li N; Song C; Huang X; Zhang H; Su J; Yang L; He J; Cui G
    Breast Cancer (Dove Med Press); 2023; 15():121-132. PubMed ID: 36776542
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Nomogram Based on Breast MRI and Clinicopathologic Features for Predicting Axillary Lymph Node Metastasis in Patients with Early-Stage Invasive Breast Cancer: A Retrospective Study.
    Xue M; Che S; Tian Y; Xie L; Huang L; Zhao L; Guo N; Li J
    Clin Breast Cancer; 2022 Jun; 22(4):e428-e437. PubMed ID: 34865995
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Prediction of recurrence risk factors in patients with early-stage cervical cancers by nomogram based on MRI handcrafted radiomics features and deep learning features: a dual-center study.
    Zhang Y; Wu C; Du J; Xiao Z; Lv F; Liu Y
    Abdom Radiol (NY); 2024 Jan; 49(1):258-270. PubMed ID: 37987856
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Development and Validation of a Nomogram for Predicting Axillary Lymph Node Metastasis in Breast Cancer.
    Li X; Yang L; Jiao X
    Clin Breast Cancer; 2023 Jul; 23(5):538-545. PubMed ID: 37137800
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.