Reduced field-of-view diffusion-weighted magnetic resonance imaging of the prostate at 3 tesla: Comparison with standard echo-planar imaging technique for image quality and tumor assessment

Tsutomu Tamada, Justin M. Ream, Ankur M. Doshi, Samir S. Taneja, Andrew B. Rosenkrantz

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: The purpose of this study was to compare image quality and tumor assessment at prostate magnetic resonance imaging (MRI) between reduced field-of-view diffusion-weighted imaging (rFOV-DWI) and standard DWI (st-DWI). Methods: Atotal of 49 patients undergoing prostateMRI and MRI/ultrasound fusion-targeted biopsy were included. Examinations included st-DWI (field of view [FOV], 200 × 200 mm) and rFOV-DWI (FOV, 140 × 64 mm) using a 2-dimensional (2D) spatially-selective radiofrequency pulse and parallel transmission. Two readers performed qualitative assessments; a third reader performed quantitative evaluation. Results: Overall image quality, anatomic distortion, visualization of capsule, and visualization of peripheral/transition zone edge were better for rFOV-DWI for reader 1 (P ≤ 0.002), although not for reader 2 (P ≥ 0.567). For both readers, sensitivity, specificity, and accuracy for tumor with a Gleason Score (GS) of 3 + 4 or higher were not different (P ≥ 0.289). Lesion clarity was higher for st-DWI for reader 2 (P = 0.008), although similar for reader 1 (P = 0.409). Diagnostic confidence was not different for either reader (P ≥ 0.052). Tumor-to-benign apparent diffusion coefficient ratio was not different (P = 0.675). Conclusions: Potentially improved image quality of rFOV-DWI did not yield improved tumor assessment. Continued optimization is warranted.

Original languageEnglish (US)
Pages (from-to)949-956
Number of pages8
JournalJournal of Computer Assisted Tomography
Volume41
Issue number6
DOIs
StatePublished - 2017

Keywords

  • 3 T
  • DWI
  • MRI
  • Prostate biopsy
  • Prostatic cancer

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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