Clinical utility of apparent diffusion coefficient values obtained using high b-value when diagnosing prostate cancer using 3 tesla MRI: Comparison between ultra-high b-value (2000 s/mm 2) and standard high b-value (1000 s/mm 2)

Kazuhiro Kitajima, Satoru Takahashi, Yoshiko Ueno, Takeshi Yoshikawa, Yoshiharu Ohno, Makoto Obara, Hideaki Miyake, Masato Fujisawa, Kazuro Sugimura

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Abstract

Purpose: To determine whether the apparent diffusion coefficient (ADC) obtained using b = 2000 s/mm 2 upon 3 Tesla (T) diffusion-weighted MRI is superior to b = 1000 s/mm 2 for discriminating malignant from normal prostate tissue and predicting the aggressiveness of prostate cancer, using histopathological findings of radical prostatectomy as a reference. Materials and Methods: Eighty prostate cancer patients underwent preoperative 3T MRI including diffusion weighted imaging with b-values of 0, 1000, and 2000 s/mm 2. ADCs were measured for malignant lesions and normal sites on three sets of ADC maps calculated with monoexponential fitting between b = 0 and 1000, 0 and 2000, and 1000 and 2000, respectively. The relationship between the ADC and Gleason score was evaluated. Results: The areas under the ROC curves for b = 0,1000, b = 0,2000, and b = 1000,2000 were 0.896, 0.937, and 0.857, respectively, in the peripheral zone (PZ) and 0.877, 0.889, and 0.731, respectively, in the transition zone (TZ). The difference between b = 0,1000 and b = 0,2000 was significant in PZ (P = 0.033), but not in TZ (P = 0.84). Weak but significant negative correlations were identified between ADCs and Gleason score in both PZ and TZ cancer at b = 0,1000 and b = 0,2000 (r = -0.323 to -0.341). Conclusion: For 3T MRI, ADCs using b = 0,2000 are more accurate than b = 0,1000 for diagnosing PZ cancer, and as accurate for TZ cancer.

Original languageEnglish
Pages (from-to)198-205
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Volume36
Issue number1
DOIs
Publication statusPublished - 07-2012

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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