BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

108 related articles for article (PubMed ID: 36553012)

  • 1. MRI-Based Radiomics Nomogram for Predicting Prostate Cancer with Gray-Zone Prostate-Specific Antigen Levels to Reduce Unnecessary Biopsies.
    Zhang L; Zhang J; Tang M; Lei XY; Li LC
    Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553012
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of pelvic lymph node metastasis in prostate cancer using radiomics based on T
    Liu X; Zhang Y; Sun Z; Wang X; Zhang X; Wang X
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1025-1036. PubMed ID: 36097770
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of clinically significant prostate cancer using radiomics models in real-world clinical practice: a retrospective multicenter study.
    Bao J; Qiao X; Song Y; Su Y; Ji L; Shen J; Yang G; Shen H; Wang X; Hu C
    Insights Imaging; 2024 Feb; 15(1):68. PubMed ID: 38424368
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy.
    Hu C; Qiao X; Hu C; Cao C; Wang X; Bao J
    Cancer Imaging; 2024 Feb; 24(1):23. PubMed ID: 38326860
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Investigation of radiomics models for predicting biochemical recurrence of advanced prostate cancer on pretreatment MR ADC maps based on automatic image segmentation.
    Wang H; Wang K; Ma S; Gao G; Wang X
    J Appl Clin Med Phys; 2024 Apr; 25(4):e14244. PubMed ID: 38146796
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of a nomogram for predicting prostate cancer based on combining contrast-enhanced transrectal ultrasound and biparametric MRI imaging.
    Nong W; Huang Q; Gao Y
    Front Oncol; 2023; 13():1275773. PubMed ID: 38044995
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Magnetic resonance imaging radiomics-based prediction of clinically significant prostate cancer in equivocal PI-RADS 3 lesions in the transitional zone.
    Zhao YY; Xiong ML; Liu YF; Duan LJ; Chen JL; Xing Z; Lin YS; Chen TH
    Front Oncol; 2023; 13():1247682. PubMed ID: 38074651
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning based on radiomics features combing B-mode transrectal ultrasound and contrast-enhanced ultrasound to improve peripheral zone prostate cancer detection.
    Sun Y; Fang J; Shi Y; Li H; Wang J; Xu J; Zhang B; Liang L
    Abdom Radiol (NY); 2024 Jan; 49(1):141-150. PubMed ID: 37796326
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A dynamic online nomogram predicting prostate cancer short-term prognosis based on
    Bian S; Hong W; Su X; Yao F; Yuan Y; Zhang Y; Xie J; Li T; Pan K; Xue Y; Zhang Q; Yu Z; Tang K; Yang Y; Zhuang Y; Lin J; Xu H
    Abdom Radiol (NY); 2024 Jun; ():. PubMed ID: 38890216
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predictive Value of Magnetic Resonance Imaging Radiomics Combined with Serum PSA for the Extracapsular Extension of Prostate Cancer Prediction.
    Wu J; Yu X; Zuo Z; Li J; Du F; Wang P; Jiang R
    Arch Esp Urol; 2024 Mar; 77(2):217-223. PubMed ID: 38583015
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion.
    Yang L; Li Z; Liang X; Xu J; Cai Y; Huang C; Zhang M; Yao J; Song B
    Front Oncol; 2022; 12():934291. PubMed ID: 35837116
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours.
    Du Y; Xiao Y; Guo W; Yao J; Lan T; Li S; Wen H; Zhu W; He G; Zheng H; Chen H
    Biomed Eng Online; 2024 Apr; 23(1):41. PubMed ID: 38594729
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of a clinical-radiomics model for prediction of prostate cancer: a multicenter study.
    Huang J; He C; Xu P; Song B; Zhao H; Yin B; He M; Lu X; Wu J; Wang H
    World J Urol; 2024 Apr; 42(1):275. PubMed ID: 38689190
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A radiomics approach based on MR imaging for classification of deficiency and excess syndrome of traditional Chinese medicine in prostate cancer.
    Zhang Y; Yang H; Li Z; Gao C; Chen Y; Huang Y; Yue X; Shu C; Wei Y; Cui F; Xu M
    Heliyon; 2023 Dec; 9(12):e23242. PubMed ID: 38144279
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Risk score model to automatically detect prostate cancer patients by integrating diagnostic parameters.
    Castaldo R; Brancato V; Cavaliere C; Pecchia L; Illiano E; Costantini E; Ragozzino A; Salvatore M; Nicolai E; Franzese M
    Front Oncol; 2024; 14():1323247. PubMed ID: 38873254
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics analysis using magnetic resonance imaging of bone marrow edema for diagnosing knee osteoarthritis.
    Li X; Chen W; Liu D; Chen P; Li P; Li F; Yuan W; Wang S; Chen C; Chen Q; Li F; Guo S; Hu Z
    Front Bioeng Biotechnol; 2024; 12():1368188. PubMed ID: 38933540
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A clinical-radiomics nomogram based on multimodal ultrasound for predicting the malignancy risk in solid hypoechoic breast lesions.
    Shiyan G; Liqing J; Yueqiong Y; Yan Z
    Front Oncol; 2023; 13():1256146. PubMed ID: 37916158
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluating the Role of Morphological Parameters in the Prostate Transition Zone in PHI-Based Predictive Models for Detecting Gray Zone Prostate Cancer.
    Qian YH; Shi YT; Sheng XJ; Liao HH; Chen HJ; Shi BW; Yu YJ
    Clin Med Insights Oncol; 2023; 17():11795549231201122. PubMed ID: 37869472
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Establishment and validation of novel predictive models to predict bone metastasis in newly diagnosed prostate adenocarcinoma based on single-photon emission computed tomography radiomics.
    Wang N; Qu S; Kong W; Hua Q; Hong Z; Liu Z; Shi Y
    Ann Nucl Med; 2024 Jun; ():. PubMed ID: 38822897
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomic nomogram based on bi-parametric magnetic resonance imaging to predict the International Society of Urological Pathology grading ≥ 3 prostate cancer: a multicenter study.
    Zhang Y; Li Z; Gao C; Zhang L; Huang Y; Qu H; Shu C; Wei Y; Xu M; Cui F
    Clin Radiol; 2024 Apr; ():. PubMed ID: 38763807
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.