BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 36959807)

  • 1. An ultrasound-based radiomics model to distinguish between sclerosing adenosis and invasive ductal carcinoma.
    Huang Q; Nong W; Tang X; Gao Y
    Front Oncol; 2023; 13():1090617. PubMed ID: 36959807
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics Based on DCE-MRI Improved Diagnostic Performance Compared to BI-RADS Analysis in Identifying Sclerosing Adenosis of the Breast.
    Ruan M; Ding Z; Shan Y; Pan S; Shao C; Xu W; Zhen T; Pang P; Shen Q
    Front Oncol; 2022; 12():888141. PubMed ID: 35646630
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Preoperative prediction of lymphovascular invasion in patients with T1 breast invasive ductal carcinoma based on radiomics nomogram using grayscale ultrasound.
    Xu ML; Zeng SE; Li F; Cui XW; Liu GF
    Front Oncol; 2022; 12():1071677. PubMed ID: 36568215
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The use of mammography-based radiomics nomograms for the preoperative prediction of the histological grade of invasive ductal carcinoma.
    Rong XC; Kang YH; Shi GF; Ren JL; Liu YH; Li ZG; Yang G
    J Cancer Res Clin Oncol; 2023 Oct; 149(13):11635-11645. PubMed ID: 37405478
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnostic value of radiomics model based on gray-scale and contrast-enhanced ultrasound for inflammatory mass stage periductal mastitis/duct ectasia.
    Zheng Y; Bai L; Sun J; Zhu L; Huang R; Duan S; Dong F; Tang Z; Li Y
    Front Oncol; 2022; 12():981106. PubMed ID: 36203455
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. MRI-Based Radiomics and Urine Creatinine for the Differentiation of Renal Angiomyolipoma With Minimal Fat From Renal Cell Carcinoma: A Preliminary Study.
    Jian L; Liu Y; Xie Y; Jiang S; Ye M; Lin H
    Front Oncol; 2022; 12():876664. PubMed ID: 35719934
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multimodal ultrasound imaging for diagnostic differentiation of sclerosing adenosis from invasive ductal carcinoma.
    Li W; Zheng Y; Liu H; Tai Z; Zhu H; Li Z; Gu Q; Li Y
    Quant Imaging Med Surg; 2024 Jan; 14(1):877-887. PubMed ID: 38223094
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Nomogram Based on Conventional Ultrasound Radiomics for Differentiating Between Radial Scar and Invasive Ductal Carcinoma of the Breast.
    Su HZ; Hong LC; Su YM; Chen XS; Zhang ZB; Zhang XD
    Ultrasound Q; 2024 Sep; 40(3):. PubMed ID: 38889436
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions.
    Li T; Sun L; Li Q; Luo X; Luo M; Xie H; Wang P
    Front Oncol; 2021; 11():825429. PubMed ID: 35155214
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients.
    Li Q; Song Z; Zhang D; Li X; Liu Q; Yu J; Li Z; Zhang J; Ren X; Wen Y; Tang Z
    Front Oncol; 2022; 12():992906. PubMed ID: 36276058
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ultrasound-based radiomics score for pre-biopsy prediction of prostate cancer to reduce unnecessary biopsies.
    Ou W; Lei J; Li M; Zhang X; Liang R; Long L; Wang C; Chen L; Chen J; Zhang J; Wang Z
    Prostate; 2023 Jan; 83(1):109-118. PubMed ID: 36207777
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
    Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
    BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Breast Cancer in Breast Imaging Reporting and Data System (BI-RADS) Ultrasound Category 4 or 5 Lesions: A Nomogram Combining Radiomics and BI-RADS.
    Luo WQ; Huang QX; Huang XW; Hu HT; Zeng FQ; Wang W
    Sci Rep; 2019 Aug; 9(1):11921. PubMed ID: 31417138
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.
    Jiang L; Zhang Z; Guo S; Zhao Y; Zhou P
    Cancers (Basel); 2023 Mar; 15(5):. PubMed ID: 36900404
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comparative study on the features of breast sclerosing adenosis and invasive ductal carcinoma via ultrasound and establishment of a predictive nomogram.
    Li Y; Wei XL; Pang KK; Ni PJ; Wu M; Xiao J; Zhang LL; Zhang FX
    Front Oncol; 2023; 13():1276524. PubMed ID: 37936612
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for Identifying Benign and Malignant Breast Lesions of Sub-1 cm.
    Lin F; Wang Z; Zhang K; Yang P; Ma H; Shi Y; Liu M; Wang Q; Cui J; Mao N; Xie H
    Front Oncol; 2020; 10():573630. PubMed ID: 33194677
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.