BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

278 related articles for article (PubMed ID: 31961049)

  • 1. Luminal Water Imaging: Comparison With Diffusion-Weighted Imaging (DWI) and PI-RADS for Characterization of Prostate Cancer Aggressiveness.
    Hectors SJ; Said D; Gnerre J; Tewari A; Taouli B
    J Magn Reson Imaging; 2020 Jul; 52(1):271-279. PubMed ID: 31961049
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Simplified Luminal Water Imaging for the Detection of Prostate Cancer From Multiecho T
    Devine W; Giganti F; Johnston EW; Sidhu HS; Panagiotaki E; Punwani S; Alexander DC; Atkinson D
    J Magn Reson Imaging; 2019 Sep; 50(3):910-917. PubMed ID: 30566264
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2.
    Chen T; Li M; Gu Y; Zhang Y; Yang S; Wei C; Wu J; Li X; Zhao W; Shen J
    J Magn Reson Imaging; 2019 Mar; 49(3):875-884. PubMed ID: 30230108
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparing diagnostic accuracy of luminal water imaging with diffusion-weighted and dynamic contrast-enhanced MRI in prostate cancer: A quantitative MRI study.
    Sabouri S; Chang SD; Goldenberg SL; Savdie R; Jones EC; Black PC; Fazli L; Kozlowski P
    NMR Biomed; 2019 Feb; 32(2):e4048. PubMed ID: 30575145
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DCE-MRI of the prostate using shutter-speed vs. Tofts model for tumor characterization and assessment of aggressiveness.
    Hectors SJ; Besa C; Wagner M; Jajamovich GH; Haines GK; Lewis S; Tewari A; Rastinehad A; Huang W; Taouli B
    J Magn Reson Imaging; 2017 Sep; 46(3):837-849. PubMed ID: 28092414
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnosis and Grading of Prostate Cancer by Relaxation Maps From Synthetic MRI.
    Cui Y; Han S; Liu M; Wu PY; Zhang W; Zhang J; Li C; Chen M
    J Magn Reson Imaging; 2020 Aug; 52(2):552-564. PubMed ID: 32027071
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of PI-RADS 2, ADC histogram-derived parameters, and their combination for the diagnosis of peripheral zone prostate cancer.
    Lin WC; Westphalen AC; Silva GE; Chodraui Filho S; Reis RB; Muglia VF
    Abdom Radiol (NY); 2016 Nov; 41(11):2209-2217. PubMed ID: 27364781
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of Weighted Diffusion Subtraction for Detection of Clinically Significant Prostate Cancer.
    Sato T; Isoda H; Fujimoto K; Furuta A; Fujimoto M; Ito K; Kobayashi T; Nakamoto Y
    J Magn Reson Imaging; 2021 Dec; 54(6):1979-1988. PubMed ID: 34085328
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Risk Stratification of Prostate Cancer Using the Combination of Histogram Analysis of Apparent Diffusion Coefficient Across Tumor Diffusion Volume and Clinical Information: A Pilot Study.
    Zhang Z; Xu H; Xue Y; Li J; Ye Q
    J Magn Reson Imaging; 2019 Feb; 49(2):556-564. PubMed ID: 30173421
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Clinically insignificant prostate cancer suitable for active surveillance according to Prostate Cancer Research International: Active surveillance criteria: Utility of PI-RADS v2.
    Yim JH; Kim CK; Kim JH
    J Magn Reson Imaging; 2018 Apr; 47(4):1072-1079. PubMed ID: 28901655
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Value of T
    Klingebiel M; Schimmöller L; Weiland E; Franiel T; Jannusch K; Kirchner J; Hilbert T; Strecker R; Arsov C; Wittsack HJ; Albers P; Antoch G; Ullrich T
    J Magn Reson Imaging; 2022 Aug; 56(2):413-422. PubMed ID: 35038203
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Intraductal carcinoma of the prostate (IDC-P) lowers apparent diffusion coefficient (ADC) values among intermediate risk prostate cancers.
    Currin S; Flood TA; Krishna S; Ansari A; McInnes MDF; Schieda N
    J Magn Reson Imaging; 2019 Jul; 50(1):279-287. PubMed ID: 30585372
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Probing structure of normal and malignant prostate tissue before and after radiation therapy with luminal water fraction and diffusion-weighted MRI.
    Carlin D; Orton MR; Collins D; deSouza NM
    J Magn Reson Imaging; 2019 Aug; 50(2):619-627. PubMed ID: 30589150
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Contribution of Dynamic Contrast-enhanced and Diffusion MRI to PI-RADS for Detecting Clinically Significant Prostate Cancer.
    Tavakoli AA; Hielscher T; Badura P; Görtz M; Kuder TA; Gnirs R; Schwab C; Hohenfellner M; Schlemmer HP; Bonekamp D
    Radiology; 2023 Jan; 306(1):186-199. PubMed ID: 35972360
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer.
    Roethke MC; Kuder TA; Kuru TH; Fenchel M; Hadaschik BA; Laun FB; Schlemmer HP; Stieltjes B
    Invest Radiol; 2015 Aug; 50(8):483-9. PubMed ID: 25867657
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Differentiation of prostate cancer lesions in the Transition Zone by diffusion-weighted MRI.
    Bao J; Wang X; Hu C; Hou J; Dong F; Guo L
    Eur J Radiol Open; 2017; 4():123-128. PubMed ID: 29034282
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes.
    Abreu-Gomez J; Walker D; Alotaibi T; McInnes MDF; Flood TA; Schieda N
    Eur Radiol; 2020 Aug; 30(8):4251-4261. PubMed ID: 32211965
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Transition zone prostate cancer: Logistic regression and machine-learning models of quantitative ADC, shape and texture features are highly accurate for diagnosis.
    Wu M; Krishna S; Thornhill RE; Flood TA; McInnes MDF; Schieda N
    J Magn Reson Imaging; 2019 Sep; 50(3):940-950. PubMed ID: 30701625
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis.
    Lim CS; Abreu-Gomez J; Thornhill R; James N; Al Kindi A; Lim AS; Schieda N
    Abdom Radiol (NY); 2021 Dec; 46(12):5647-5658. PubMed ID: 34467426
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics Models Based on Apparent Diffusion Coefficient Maps for the Prediction of High-Grade Prostate Cancer at Radical Prostatectomy: Comparison With Preoperative Biopsy.
    Han C; Ma S; Liu X; Liu Y; Li C; Zhang Y; Zhang X; Wang X
    J Magn Reson Imaging; 2021 Dec; 54(6):1892-1901. PubMed ID: 33682286
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.