BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 37723592)

  • 1. Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning.
    Zhong X; Peng J; Shu Z; Song Q; Li D
    Cancer Imaging; 2023 Sep; 23(1):88. PubMed ID: 37723592
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics based on T2-weighted and diffusion-weighted MR imaging for preoperative prediction of tumor deposits in rectal cancer.
    Sun Z; Xia F; Lv W; Li J; Zou Y; Wu J
    Am J Surg; 2024 Jun; 232():59-67. PubMed ID: 38272767
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pretreatment MR-based radiomics nomogram as potential imaging biomarker for individualized assessment of perineural invasion status in rectal cancer.
    Chen J; Chen Y; Zheng D; Pang P; Zhang H; Zheng X; Liao J
    Abdom Radiol (NY); 2021 Mar; 46(3):847-857. PubMed ID: 32870349
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma.
    Chen YD; Zhang L; Zhou ZP; Lin B; Jiang ZJ; Tang C; Dang YW; Xia YW; Song B; Long LL
    World J Gastroenterol; 2022 Aug; 28(31):4399-4416. PubMed ID: 36159011
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.
    Li C; Yin J
    Front Oncol; 2021; 11():671354. PubMed ID: 34041033
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Prediction of platinum-based chemotherapy sensitivity for epithelial ovarian cancer by multi-sequence MRI-based radiomic nomogram].
    Mao MM; Li HM; Shi J; Qiu QS; Feng F
    Zhonghua Yi Xue Za Zhi; 2022 Jan; 102(3):201-208. PubMed ID: 35042289
    [No Abstract]   [Full Text] [Related]  

  • 7. Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer.
    Shu Z; Mao D; Song Q; Xu Y; Pang P; Zhang Y
    Eur Radiol; 2022 Feb; 32(2):1002-1013. PubMed ID: 34482429
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Novel multiparametric MRI-based radiomics in preoperative prediction of perirectal fat invasion in rectal cancer.
    Wang H; Chen X; Ding J; Deng S; Mao G; Tian S; Zhu X; Ao W
    Abdom Radiol (NY); 2023 Feb; 48(2):471-485. PubMed ID: 36508131
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of high-grade soft-tissue sarcoma using a combined intratumoural and peritumoural MRI-based radiomics nomogram.
    Dou Y; Li X; Tao J; Dong Y; Xu N; Wang S
    Clin Radiol; 2023 Dec; 78(12):e1032-e1040. PubMed ID: 37748959
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-parameter diffusion and perfusion magnetic resonance imaging and radiomics nomogram for preoperative evaluation of aquaporin-1 expression in rectal cancer.
    Chen Y; Li B; Jiang Z; Li H; Dang Y; Tang C; Xia Y; Zhang H; Song B; Long L
    Abdom Radiol (NY); 2022 Apr; 47(4):1276-1290. PubMed ID: 35166938
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
    Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
    Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
    Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
    World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases.
    Shu Z; Fang S; Ding Z; Mao D; Cai R; Chen Y; Pang P; Gong X
    Sci Rep; 2019 Mar; 9(1):3374. PubMed ID: 30833648
    [TBL] [Abstract][Full Text] [Related]  

  • 14. High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer.
    Yang YS; Qiu YJ; Zheng GH; Gong HP; Ge YQ; Zhang YF; Feng F; Wang YT
    Cancer Imaging; 2021 May; 21(1):40. PubMed ID: 34039436
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
    Wang H; Zhang J; Bao S; Liu J; Hou F; Huang Y; Chen H; Duan S; Hao D; Liu J
    J Magn Reson Imaging; 2020 Sep; 52(3):873-882. PubMed ID: 32112598
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
    Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The Nomogram of MRI-based Radiomics with Complementary Visual Features by Machine Learning Improves Stratification of Glioblastoma Patients: A Multicenter Study.
    Xu Y; He X; Li Y; Pang P; Shu Z; Gong X
    J Magn Reson Imaging; 2021 Aug; 54(2):571-583. PubMed ID: 33559302
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.
    Li Y; Qian Z; Xu K; Wang K; Fan X; Li S; Jiang T; Liu X; Wang Y
    Neuroimage Clin; 2018; 17():306-311. PubMed ID: 29527478
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
    Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
    Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.