BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

256 related articles for article (PubMed ID: 32755226)

  • 1. Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade.
    Xu W; Hao D; Hou F; Zhang D; Wang H
    AJR Am J Roentgenol; 2020 Oct; 215(4):963-969. PubMed ID: 32755226
    [No Abstract]   [Full Text] [Related]  

  • 2. Soft Tissue Sarcomas: Preoperative Predictive Histopathological Grading Based on Radiomics of MRI.
    Zhang Y; Zhu Y; Shi X; Tao J; Cui J; Dai Y; Zheng M; Wang S
    Acad Radiol; 2019 Sep; 26(9):1262-1268. PubMed ID: 30377057
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics and Machine Learning With Multiparametric Preoperative MRI May Accurately Predict the Histopathological Grades of Soft Tissue Sarcomas.
    Wang H; Chen H; Duan S; Hao D; Liu J
    J Magn Reson Imaging; 2020 Mar; 51(3):791-797. PubMed ID: 31486565
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
    Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
    J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MRI-Based Computer-Aided Diagnostic Model to Predict Tumor Grading and Clinical Outcomes in Patients With Soft Tissue Sarcoma.
    Yang Y; Zhou Y; Zhou C; Zhang X; Ma X
    J Magn Reson Imaging; 2022 Dec; 56(6):1733-1745. PubMed ID: 35303756
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-institutional validation of a radiomics signature for identification of postoperative progression of soft tissue sarcoma.
    Yu Y; Guo H; Zhang M; Hou F; Yang S; Huang C; Duan L; Wang H
    Cancer Imaging; 2024 May; 24(1):59. PubMed ID: 38720384
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas.
    Tian L; Zhang D; Bao S; Nie P; Hao D; Liu Y; Zhang J; Wang H
    Clin Radiol; 2021 Feb; 76(2):158.e19-158.e25. PubMed ID: 33293024
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Tumor grading of soft tissue sarcomas using MRI-based radiomics.
    Peeken JC; Spraker MB; Knebel C; Dapper H; Pfeiffer D; Devecka M; Thamer A; Shouman MA; Ott A; von Eisenhart-Rothe R; Nüsslin F; Mayr NA; Nyflot MJ; Combs SE
    EBioMedicine; 2019 Oct; 48():332-340. PubMed ID: 31522983
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Soft-Tissue Sarcomas: Assessment of MRI Features Correlating with Histologic Grade and Patient Outcome.
    Crombé A; Marcellin PJ; Buy X; Stoeckle E; Brouste V; Italiano A; Le Loarer F; Kind M
    Radiology; 2019 Jun; 291(3):710-721. PubMed ID: 30964422
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.
    Park YW; Oh J; You SC; Han K; Ahn SS; Choi YS; Chang JH; Kim SH; Lee SK
    Eur Radiol; 2019 Aug; 29(8):4068-4076. PubMed ID: 30443758
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Tumor grade in soft-tissue sarcoma: Prediction with magnetic resonance imaging texture analysis.
    Hong JH; Jee WH; Jung CK; Chung YG
    Medicine (Baltimore); 2020 Jul; 99(27):e20880. PubMed ID: 32629676
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.
    Mao B; Zhang L; Ning P; Ding F; Wu F; Lu G; Geng Y; Ma J
    Eur Radiol; 2020 Dec; 30(12):6924-6932. PubMed ID: 32696256
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Can MR imaging be used to predict tumor grade in soft-tissue sarcoma?
    Zhao F; Ahlawat S; Farahani SJ; Weber KL; Montgomery EA; Carrino JA; Fayad LM
    Radiology; 2014 Jul; 272(1):192-201. PubMed ID: 24611604
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Soft tissue sarcoma: can dynamic contrast-enhanced (DCE) MRI be used to predict the histological grade?
    Li X; Wang Q; Dou Y; Zhang Y; Tao J; Yang L; Wang S
    Skeletal Radiol; 2020 Nov; 49(11):1829-1838. PubMed ID: 32519183
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions.
    Corino VDA; Montin E; Messina A; Casali PG; Gronchi A; Marchianò A; Mainardi LT
    J Magn Reson Imaging; 2018 Mar; 47(3):829-840. PubMed ID: 28653477
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
    Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
    Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors.
    Fields BKK; Demirjian NL; Hwang DH; Varghese BA; Cen SY; Lei X; Desai B; Duddalwar V; Matcuk GR
    Eur Radiol; 2021 Nov; 31(11):8522-8535. PubMed ID: 33893534
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.
    Hamerla G; Meyer HJ; Schob S; Ginat DT; Altman A; Lim T; Gihr GA; Horvath-Rizea D; Hoffmann KT; Surov A
    Magn Reson Imaging; 2019 Nov; 63():244-249. PubMed ID: 31425811
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Distinguishing soft tissue sarcomas of different histologic grades based on quantitative MR assessment of intratumoral heterogeneity.
    Xiang P; Zhang X; Liu D; Wang C; Ding L; Wang F; Zhang Z
    Eur J Radiol; 2019 Sep; 118():194-199. PubMed ID: 31439242
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.