PLoS ONE (Jan 2019)

Histogram analysis of prostate cancer on dynamic contrast-enhanced magnetic resonance imaging: A preliminary study emphasizing on zonal difference.

  • Chih-Ching Lai,
  • Pin-Hsun Huang,
  • Fu-Nien Wang,
  • Shu-Huei Shen,
  • Hsin-Kai Wang,
  • Hsian-Tzu Liu,
  • Hsiao-Jen Chung,
  • Tzu-Ping Lin,
  • Yen-Hwa Chang,
  • Chin-Chen Pan,
  • Shin-Lei Peng

DOI
https://doi.org/10.1371/journal.pone.0212092
Journal volume & issue
Vol. 14, no. 2
p. e0212092

Abstract

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BackgroundThis study evaluated the performance of histogram analysis in the time course of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for differentiating cancerous tissues from benign tissues in the prostate.MethodsWe retrospectively analyzed the histograms of DCE-MRI of 30 patients. Histograms within regions of interest(ROI) in the peripheral zone (PZ) and transitional zone (TZ) were separately analyzed. The maximum difference wash-in slope (MWS) and delay phase slope (DPS) were defined for each voxel. Differences in histogram parameters, namely the mean, standard deviation (SD), the coefficient of variation (CV), kurtosis, skewness, interquartile range (IQR), percentile (P10, P25, P75, P90, and P90P10), Range, and modified full width at half-maximum (mFWHM) between cancerous and benign tissues were assessed.ResultsIn the TZ, CV for ROIs of 7.5 and 10mm was the only significantly different parameter of the MWS (P = 0.034 and P = 0.004, respectively), whereas many parameters of the DPS (mean, skewness, P10, P25, P50, P75 and P90) differed significantly (P = ConclusionThe histogram analysis of DCE-MRI is a potentially useful approach for differentiating prostate cancer from normal tissues. Different histogram parameters of the MWS and DPS should be applied in the TZ and PZ.