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      Reduced-FOV excitation decreases susceptibility artifact in diffusion-weighted MRI with endorectal coil for prostate cancer detection.

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          Abstract

          The purposes of this study were to determine if image distortion is less in prostate MR apparent diffusion coefficient (ADC) maps generated from a reduced-field-of-view (rFOV) diffusion-weighted-imaging (DWI) technique than from a conventional DWI sequence (CONV), and to determine if the rFOV ADC tumor contrast is as high as or better than that of the CONV sequence. Fifty patients underwent a 3T MRI exam. CONV and rFOV (utilizing a 2D, echo-planar, rectangularly-selective RF pulse) sequences were acquired using b=600, 0s/mm(2). Distortion was visually scored 0-4 by three independent observers and quantitatively measured using the difference in rectal wall curvature between the ADC maps and T2-weighted images. Distortion scores were lower with the rFOV sequence (p<0.012, Wilcoxon Signed-Rank Test, n=50), and difference in distortion scores did not differ significantly among observers (p=0.99, Kruskal-Wallis Rank Sum Test). The difference in rectal curvature was less with rFOV ADC maps (26%±10%) than CONV ADC maps (34%±13%) (p<0.011, Student's t-test). In seventeen patients with untreated, biopsy confirmed prostate cancer, the rFOV sequence afforded significantly higher ADC tumor contrast (44.0%) than the CONV sequence (35.9%), (p<0.0012, Student's t-test). The rFOV sequence yielded significantly decreased susceptibility artifact and significantly higher contrast between tumor and healthy tissue.

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          Author and article information

          Journal
          Magn Reson Imaging
          Magnetic resonance imaging
          Elsevier BV
          1873-5894
          0730-725X
          Jan 2015
          : 33
          : 1
          Affiliations
          [1 ] Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, United States. Electronic address: Natalie.Korn@ucsf.edu.
          [2 ] Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, United States; The Graduate Group in Bioengineering, University of California at San Francisco & Berkeley, CA, United States.
          [3 ] General Electric Healthcare, Menlo Park, CA, United States.
          [4 ] Department of Bioengineering, University of California at Berkeley, Berkeley, CA, United States.
          Article
          S0730-725X(14)00287-2 NIHMS638391
          10.1016/j.mri.2014.08.040
          4342000
          25200645
          316f315e-ab1c-4545-8ff3-950ca7ff814b
          History

          Reduced FOV,ADC,Diffusion-weighted imaging,Endorectal,MRI,Prostate

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