BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 38424620)

  • 1. Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer.
    Deng T; Liang J; Yan C; Ni M; Xiang H; Li C; Ou J; Lin Q; Liu L; Tang G; Luo R; An X; Gao Y; Lin X
    Cancer Imaging; 2024 Feb; 24(1):31. PubMed ID: 38424620
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A nomogram model combining ultrasound-based radiomics features and clinicopathological factors to identify germline BRCA1/2 mutation in invasive breast cancer patients.
    Guo R; Yu Y; Huang Y; Lin M; Liao Y; Hu Y; Li Q; Peng C; Zhou J
    Heliyon; 2024 Jan; 10(1):e23383. PubMed ID: 38169922
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study.
    Du Y; Cai M; Zha H; Chen B; Gu J; Zhang M; Liu W; Liu X; Liu X; Zong M; Li C
    Eur Radiol; 2024 Jan; 34(1):136-148. PubMed ID: 37518678
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Intratumoral and Peritumoral Analysis of Mammography, Tomosynthesis, and Multiparametric MRI for Predicting Ki-67 Level in Breast Cancer: a Radiomics-Based Study.
    Jiang T; Song J; Wang X; Niu S; Zhao N; Dong Y; Wang X; Luo Y; Jiang X
    Mol Imaging Biol; 2022 Aug; 24(4):550-559. PubMed ID: 34904187
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer.
    Liu J; Wang X; Hu M; Zheng Y; Zhu L; Wang W; Hu J; Zhou Z; Dai Y; Dong F
    Front Oncol; 2022; 12():963925. PubMed ID: 36046035
    [TBL] [Abstract][Full Text] [Related]  

  • 7. T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.
    Li H; Chai L; Pu H; Yin LL; Li M; Zhang X; Liu YS; Pang MH; Lu T
    Insights Imaging; 2024 Feb; 15(1):57. PubMed ID: 38411722
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dynamic contrast-enhanced magnetic resonance imaging radiomics analysis based on intratumoral subregions for predicting luminal and nonluminal breast cancer.
    Feng S; Yin J
    Quant Imaging Med Surg; 2023 Oct; 13(10):6735-6749. PubMed ID: 37869317
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Mammography-Based Radiomic Nomogram for Predicting Malignancy in Breast Suspicious Microcalcifications.
    Chen Y; Jiang H; Li J; Zhang J; Wu P; Dai Z
    Acad Radiol; 2024 Feb; 31(2):492-502. PubMed ID: 37940427
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma.
    Wu J; Fang Q; Yao J; Ge L; Hu L; Wang Z; Jin G
    Front Oncol; 2022; 12():979358. PubMed ID: 36276108
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of Ki-67 of Invasive Ductal Breast Cancer Based on Ultrasound Radiomics Nomogram.
    Zhu Y; Dou Y; Qin L; Wang H; Wen Z
    J Ultrasound Med; 2023 Feb; 42(3):649-664. PubMed ID: 35851691
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. MRI-based multiregional radiomics for predicting lymph nodes status and prognosis in patients with resectable rectal cancer.
    Li H; Chen XL; Liu H; Lu T; Li ZL
    Front Oncol; 2022; 12():1087882. PubMed ID: 36686763
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Development and Validation of an Ultrasound-Based Radiomics Nomogram for Identifying HER2 Status in Patients with Breast Carcinoma.
    Guo Y; Wu J; Wang Y; Jin Y
    Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553137
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
    Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
    J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Radiomics Nomogram Based on Radiomics Score from Multiregional Diffusion-Weighted MRI and Clinical Factors for Evaluating HER-2 2+ Status of Breast Cancer.
    Li C; Yin J
    Diagnostics (Basel); 2021 Aug; 11(8):. PubMed ID: 34441425
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.