BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 31456317)

  • 1. Fully automated localization of prostate peripheral zone tumors on apparent diffusion coefficient map MR images using an ensemble learning method.
    Zabihollahy F; Ukwatta E; Krishna S; Schieda N
    J Magn Reson Imaging; 2020 Apr; 51(4):1223-1234. PubMed ID: 31456317
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fully automated detection of prostate transition zone tumors on T2-weighted and apparent diffusion coefficient (ADC) map MR images using U-Net ensemble.
    Wong T; Schieda N; Sathiadoss P; Haroon M; Abreu-Gomez J; Ukwatta E
    Med Phys; 2021 Nov; 48(11):6889-6900. PubMed ID: 34418108
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated segmentation of prostate zonal anatomy on T2-weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U-Nets.
    Zabihollahy F; Schieda N; Krishna Jeyaraj S; Ukwatta E
    Med Phys; 2019 Jul; 46(7):3078-3090. PubMed ID: 31002381
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.
    Ginsburg SB; Algohary A; Pahwa S; Gulani V; Ponsky L; Aronen HJ; Boström PJ; Böhm M; Haynes AM; Brenner P; Delprado W; Thompson J; Pulbrock M; Taimen P; Villani R; Stricker P; Rastinehad AR; Jambor I; Madabhushi A
    J Magn Reson Imaging; 2017 Jul; 46(1):184-193. PubMed ID: 27990722
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Fully automatic segmentation on prostate MR images based on cascaded fully convolution network.
    Zhu Y; Wei R; Gao G; Ding L; Zhang X; Wang X; Zhang J
    J Magn Reson Imaging; 2019 Apr; 49(4):1149-1156. PubMed ID: 30350434
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Segmentation of prostate zones using probabilistic atlas-based method with diffusion-weighted MR images.
    Singh D; Kumar V; Das CJ; Singh A; Mehndiratta A
    Comput Methods Programs Biomed; 2020 Nov; 196():105572. PubMed ID: 32544780
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Peritumoral Radiomics Strategy Based on Ensemble Learning for the Prediction of Gleason Grade Group of Prostate Cancer.
    Qiu Y; Liu YF; Shu X; Qiao XF; Ai GY; He XJ
    Acad Radiol; 2023 Sep; 30 Suppl 1():S1-S13. PubMed ID: 37393175
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiparametric MRI in detection and staging of prostate cancer.
    Boesen L
    Dan Med J; 2017 Feb; 64(2):. PubMed ID: 28157066
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Voxel-level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four-Compartment Restriction Spectrum Imaging.
    Feng CH; Conlin CC; Batra K; Rodríguez-Soto AE; Karunamuni R; Simon A; Kuperman J; Rakow-Penner R; Hahn ME; Dale AM; Seibert TM
    J Magn Reson Imaging; 2021 Sep; 54(3):975-984. PubMed ID: 33786915
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prostate cancer: identification with combined diffusion-weighted MR imaging and 3D 1H MR spectroscopic imaging--correlation with pathologic findings.
    Mazaheri Y; Shukla-Dave A; Hricak H; Fine SW; Zhang J; Inurrigarro G; Moskowitz CS; Ishill NM; Reuter VE; Touijer K; Zakian KL; Koutcher JA
    Radiology; 2008 Feb; 246(2):480-8. PubMed ID: 18227542
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prostate cancer: apparent diffusion coefficient map with T2-weighted images for detection--a multireader study.
    Lim HK; Kim JK; Kim KA; Cho KS
    Radiology; 2009 Jan; 250(1):145-51. PubMed ID: 19017927
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.