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Articles published in Invest Radiol

Retrieve available abstracts of 10 articles:
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Single Articles


    October 2022
  1. LI Y, Gao S, Jiang H, Ayat N, et al
    Evaluation of Physicochemical Properties, Pharmacokinetics, Biodistribution, Toxicity, and Contrast-Enhanced Cancer MRI of a Cancer-Targeting Contrast Agent, MT218.
    Invest Radiol. 2022;57:639-654.
    PubMed     Abstract available


    April 2022
  2. ZHANG KS, Schelb P, Netzer N, Tavakoli AA, et al
    Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration.
    Invest Radiol. 2022 Apr 22. pii: 00004424-990000000-00010.
    PubMed     Abstract available


    December 2021
  3. NETZER N, Weisser C, Schelb P, Wang X, et al
    Fully Automatic Deep Learning in Bi-institutional Prostate Magnetic Resonance Imaging: Effects of Cohort Size and Heterogeneity.
    Invest Radiol. 2021;56:799-808.
    PubMed     Abstract available


    November 2021
  4. RACZECK P, Frenzel F, Woerner T, Graeber S, et al
    Noninferiority of Monoparametric MRI Versus Multiparametric MRI for the Detection of Prostate Cancer: Diagnostic Accuracy of ADC Ratios Based on Advanced "Zoomed" Diffusion-Weighted Imaging.
    Invest Radiol. 2021 Nov 4. pii: 00004424-900000000-98655.
    PubMed     Abstract available


    October 2021
  5. WINKEL DJ, Tong A, Lou B, Kamen A, et al
    A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study.
    Invest Radiol. 2021;56:605-613.
    PubMed     Abstract available


    September 2021
  6. BREIT HC, Block TK, Winkel DJ, Gehweiler JE, et al
    Revisiting DCE-MRI: Classification of Prostate Tissue Using Descriptive Signal Enhancement Features Derived From DCE-MRI Acquisition With High Spatiotemporal Resolution.
    Invest Radiol. 2021;56:553-562.
    PubMed     Abstract available


    July 2021
  7. KHALIGHINEJAD P, Parrott D, Jordan VC, Chirayil S, et al
    Magnetic Resonance Imaging Detection of Glucose-Stimulated Zinc Secretion in the Enlarged Dog Prostate as a Potential Method for Differentiating Prostate Cancer From Benign Prostatic Hyperplasia.
    Invest Radiol. 2021;56:450-457.
    PubMed     Abstract available


    May 2021
  8. LANGBEIN BJ, Szczepankiewicz F, Westin CF, Bay C, et al
    A Pilot Study of Multidimensional Diffusion MRI for Assessment of Tissue Heterogeneity in Prostate Cancer.
    Invest Radiol. 2021 May 27. pii: 00004424-900000000-98695.
    PubMed     Abstract available


    April 2021
  9. MAKOWSKI MR, Bressem KK, Franz L, Kader A, et al
    De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer.
    Invest Radiol. 2021 Apr 22. doi: 10.1097/RLI.0000000000000788.
    PubMed     Abstract available


    February 2021
  10. TAVAKOLI AA, Kuder TA, Tichy D, Radtke JP, et al
    Measured Multipoint Ultra-High b-Value Diffusion MRI in the Assessment of MRI-Detected Prostate Lesions.
    Invest Radiol. 2021;56:94-102.
    PubMed     Abstract available


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