Premium
Diffusion‐weighted signal models in healthy and cancerous peripheral prostate tissues: Comparison of outcomes obtained at different b‐values
Author(s) -
Mazzoni Lorenzo N.,
Lucarini Silvia,
Chiti Stefano,
Busoni Simone,
Gori Cesare,
Menchi Ilario
Publication year - 2014
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24184
Subject(s) - kurtosis , receiver operating characteristic , effective diffusion coefficient , nuclear medicine , prostate cancer , diffusion mri , medicine , analysis of variance , prostate , nuclear magnetic resonance , peripheral , diffusion imaging , mathematics , magnetic resonance imaging , radiology , statistics , physics , cancer
Purpose To evaluate the dependence on the b‐values adopted of apparent diffusion coefficient (ADC), perfusion fraction (PF), slow and fast diffusion coefficient (D slow , D fast ), corrected diffusion coefficient (D) and kurtosis (K), in healthy peripheral (HP) and peripheral cancerous (PCa) prostate tissues. Materials and Methods Patients who underwent multiparametric prostate MR examination were retrospectively evaluated for possible inclusion. ADC, PF, D slow , D fast , D, and K were estimated both in HP and PCa tissues, using three different ranges of b‐values: 0–2300, 0–1800, 0–800 s/mm 2 (group A, B and C, respectively). Analysis of variance (ANOVA) and receiver operating characteristic (ROC) analysis were performed, to establish differences among groups and to evaluate sensitivity and specificity of every parameter in distinguishing HP and PCa tissues when calculated with different b‐values. Results In all, 57 patients were included. ANOVA showed significant differences of all parameters between group A‐B vs. C, both in HP and PCa tissues. In ROC analysis K showed the best area under the curve (AUC) when calculated in groups A and B (0.87 and 0.86), while it was comparable with the ADC one in group C (both 0.82). Conclusion A significant dependence on the adopted b‐values of DWI parameters is shown. The best performance in distinguishing HP from PCa tissues was obtained by K, calculated using a high b‐value sequence. J. Magn. Reson. Imaging 2014;39:512–518 . © 2013 Wiley Periodicals, Inc .