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Is There an Added Value of Quantitative DCE-MRI by Magnetic Resonance Dispersion Imaging for Prostate Cancer Diagnosis?

  • Auke Jager
  • , Jorg R Oddens
  • , Arnoud W Postema
  • , Razvan L Miclea
  • , Ivo G Schoots
  • , Peet G T A Nooijen
  • , Hans van der Linden
  • , Jelle O Barentsz
  • , Stijn W T P J Heijmink
  • , Hessel Wijkstra
  • , Massimo Mischi
  • , Simona Turco
  • University of Amsterdam
  • Eindhoven University of Technology
  • Leiden University
  • Maastricht University Medical Centre+
  • Maastricht University
  • Erasmus University Rotterdam
  • Netherlands Cancer Institute
  • Jeroen Bosch Hospital
  • Jeroen Bosch Ziekenhuis
  • Department of Medical Imaging Radboud University Medical Center Nijmegen The Netherlands
  • Radboud University Nijmegen

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

In this multicenter, retrospective study, we evaluated the added value of magnetic resonance dispersion imaging (MRDI) to standard multiparametric MRI (mpMRI) for PCa detection. The study included 76 patients, including 51 with clinically significant prostate cancer (csPCa), who underwent radical prostatectomy and had an mpMRI including dynamic contrast-enhanced MRI. Two radiologists performed three separate randomized scorings based on mpMRI, MRDI and mpMRI+MRDI. Radical prostatectomy histopathology was used as the reference standard. Imaging and histopathology were both scored according to the Prostate Imaging-Reporting and Data System V2.0 sector map. Sensitivity and specificity for PCa detection were evaluated for mpMRI, MRDI and mpMRI+MRDI. Inter- and intra-observer variability for both radiologists was evaluated using Cohen's Kappa. On a per-patient level, sensitivity for csPCa for radiologist 1 (R1) for mpMRI, MRDI and mpMRI+MRDI was 0.94, 0.82 and 0.94, respectively. For the second radiologist (R2), these were 0.78, 0.94 and 0.96. R1 detected 4% additional csPCa cases using MRDI compared to mpMRI, and R2 detected 20% extra csPCa cases using MRDI. Inter-observer agreement was significant only for MRDI (Cohen's Kappa = 0.4250, p = 0.004). The results of this study show the potential of MRDI to improve inter-observer variability and the detection of csPCa.

Original languageEnglish
Article number2431
JournalCancers
Volume16
Issue number13
DOIs
Publication statusPublished - 1 Jul 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • dynamic constrast-enhanced MRI
  • multiparametric MRI
  • pharmacokinetic analysis
  • prostate cancer

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