BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 35400556)

  • 21. Mammography-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in breast cancer.
    Tan H; Wu Y; Bao F; Zhou J; Wan J; Tian J; Lin Y; Wang M
    Br J Radiol; 2020 Jul; 93(1111):20191019. PubMed ID: 32401540
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.
    Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X
    BMC Cancer; 2022 Aug; 22(1):872. PubMed ID: 35945526
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
    Xu H; Liu J; Chen Z; Wang C; Liu Y; Wang M; Zhou P; Luo H; Ren J
    Eur Radiol; 2022 Jul; 32(7):4845-4856. PubMed ID: 35079887
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer.
    Park H; Lim Y; Ko ES; Cho HH; Lee JE; Han BK; Ko EY; Choi JS; Park KW
    Clin Cancer Res; 2018 Oct; 24(19):4705-4714. PubMed ID: 29914892
    [No Abstract]   [Full Text] [Related]  

  • 25. Prediction of neoadjuvant chemotherapy pathological complete response for breast cancer based on radiomics nomogram of intratumoral and derived tissue.
    Zheng G; Hou J; Shu Z; Peng J; Han L; Yuan Z; He X; Gong X
    BMC Med Imaging; 2024 Jan; 24(1):22. PubMed ID: 38245712
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
    Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
    Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Prognostic value of CT radiomics in evaluating lymphovascular invasion in rectal cancer: Diagnostic performance based on different volumes of interest.
    Ge YX; Xu WB; Wang Z; Zhang JQ; Zhou XY; Duan SF; Hu SD; Fei BJ
    J Xray Sci Technol; 2021; 29(4):663-674. PubMed ID: 34024807
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Evaluation of Lymphatic Vessel Invasion Determined by D2-40 Using Preoperative MRI-Based Radiomics for Invasive Breast Cancer.
    Wu Z; Lin Q; Song H; Chen J; Wang G; Fu G; Cui C; Su X; Li L; Bian T
    Acad Radiol; 2023 Nov; 30(11):2458-2468. PubMed ID: 36586760
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Radiomics in Gastric Cancer: First Clinical Investigation to Predict Lymph Vascular Invasion and Survival Outcome Using
    Yang L; Chu W; Li M; Xu P; Wang M; Peng M; Wang K; Zhang L
    Front Oncol; 2022; 12():836098. PubMed ID: 35433451
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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; 55(3):772-784. PubMed ID: 34453461
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Leveraging multimodal MRI-based radiomics analysis with diverse machine learning models to evaluate lymphovascular invasion in clinically node-negative breast cancer.
    Jiang Y; Zeng Y; Zuo Z; Yang X; Liu H; Zhou Y; Fan X
    Heliyon; 2024 Jan; 10(1):e23916. PubMed ID: 38192872
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer.
    Zhang K; Lin J; Lin F; Wang Z; Zhang H; Zhang S; Mao N; Qiao G
    J Xray Sci Technol; 2023; 31(4):669-683. PubMed ID: 37066960
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Prediction of Lymphovascular invasion status in breast cancer based on magnetic resonance imaging radiomics features.
    Li X; Luo K; Zhang N; Chen W; Li B; Lu Z; Chen Y; Wu K
    Magn Reson Imaging; 2024 Jun; 109():91-95. PubMed ID: 38467265
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
    Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
    Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Ultrasound-Based Deep Learning Radiomics Nomogram for the Assessment of Lymphovascular Invasion in Invasive Breast Cancer: A Multicenter Study.
    Zhang D; Zhou W; Lu WW; Qin XC; Zhang XY; Wang JL; Wu J; Luo YH; Duan YY; Zhang CX
    Acad Radiol; 2024 Apr; ():. PubMed ID: 38658211
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Automatic Breast Volume Scanner and B-Ultrasound-Based Radiomics Nomogram for Clinician Management of BI-RADS 4A Lesions.
    Ma Q; Wang J; Xu D; Zhu C; Qin J; Wu Y; Gao Y; Zhang C
    Acad Radiol; 2023 Aug; 30(8):1628-1637. PubMed ID: 36456445
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 40. MRI radiomics for the preoperative evaluation of lymphovascular invasion in breast cancer: A meta-analysis.
    Ma Q; Li Z; Li W; Chen Q; Liu X; Feng W; Lei J
    Eur J Radiol; 2023 Nov; 168():111127. PubMed ID: 37801997
    [TBL] [Abstract][Full Text] [Related]  

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