BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

377 related articles for article (PubMed ID: 33646452)

  • 1. Multiparametric MRI-based machine learning models for preoperatively predicting rectal adenoma with canceration.
    Li P; Song G; Wu R; Li H; Zhang R; Zuo P; Li A
    MAGMA; 2021 Oct; 34(5):707-716. PubMed ID: 33646452
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
    Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
    Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
    Wang X; Wan Q; Chen H; Li Y; Li X
    Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
    Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
    Tong P; Sun D; Chen G; Ni J; Li Y
    BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors.
    Wang H; Hu D; Yao H; Chen M; Li S; Chen H; Luo J; Feng Y; Guo Y
    Eur Radiol; 2019 Nov; 29(11):6182-6190. PubMed ID: 31016445
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [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]  

  • 8. 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]  

  • 9. Predicting Mismatch-Repair Status in Rectal Cancer Using Multiparametric MRI-Based Radiomics Models: A Preliminary Study.
    Jing G; Chen Y; Ma X; Li Z; Lu H; Xia Y; Lu Y; Lu J; Shen F
    Biomed Res Int; 2022; 2022():6623574. PubMed ID: 36033579
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Voxel-based supervised machine learning of peripheral zone prostate cancer using noncontrast multiparametric MRI.
    Gholizadeh N; Simpson J; Ramadan S; Denham J; Lau P; Siddique S; Dowling J; Welsh J; Chalup S; Greer PB
    J Appl Clin Med Phys; 2020 Oct; 21(10):179-191. PubMed ID: 32770600
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A combinatorial MRI sequence-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer.
    Xing X; Li D; Peng J; Shu Z; Zhang Y; Song Q
    Sci Rep; 2024 May; 14(1):11760. PubMed ID: 38783014
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model.
    Zheng Y; Chen L; Liu M; Wu J; Yu R; Lv F
    Front Oncol; 2021; 11():618604. PubMed ID: 34567999
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Radiomics-based prediction of microsatellite instability in stage Ⅱ and Ⅲ rectal cancer patients based on T2WI MRI and diffusion-weighted imaging].
    Xiang S; Zheng LB; Zhu L; Gao Y; Wang DS; Liu SL; Zhang S; Wang TY; Lu Y
    Zhonghua Wai Ke Za Zhi; 2023 Sep; 61(9):782-787. PubMed ID: 37491171
    [No Abstract]   [Full Text] [Related]  

  • 14. Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients.
    Wang J; Chen J; Zhou R; Gao Y; Li J
    BMC Cancer; 2022 Apr; 22(1):420. PubMed ID: 35439946
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas.
    Dai M; Liu Y; Hu Y; Li G; Zhang J; Xiao Z; Lv F
    Eur Radiol; 2022 Nov; 32(11):7988-7997. PubMed ID: 35583712
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The feasibility of MRI-based radiomics model in presurgical evaluation of tumor budding in locally advanced rectal cancer.
    Li Z; Chen F; Zhang S; Ma X; Xia Y; Shen F; Lu Y; Shao C
    Abdom Radiol (NY); 2022 Jan; 47(1):56-65. PubMed ID: 34673995
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preoperative MR radiomics based on high-resolution T2-weighted images and amide proton transfer-weighted imaging for predicting lymph node metastasis in rectal adenocarcinoma.
    Wei Q; Yuan W; Jia Z; Chen J; Li L; Yan Z; Liao Y; Mao L; Hu S; Liu X; Chen W
    Abdom Radiol (NY); 2023 Feb; 48(2):458-470. PubMed ID: 36460837
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
    Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
    Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
    Lin K; Cidan W; Qi Y; Wang X
    Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models.
    İnce O; Uysal E; Durak G; Önol S; Dönmez Yılmaz B; Ertürk ŞM; Önder H
    Diagn Interv Radiol; 2023 May; 29(3):460-468. PubMed ID: 36994859
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.