Open AccessEvaluation of different mathematical models and different b-value ranges of diffusion-weighted imaging in peripheral zone prostate cancer detection using b-value up to 4500 s/mm2
Author(s) -
Zhaoyan Feng,
Xiangde Min,
Daniel Margolis,
Caohui Duan,
Yuping Chen,
Vivek Kumar Sah,
Nabin Chaudhary,
Basen Li,
Ke Zan,
Peipei Zhang,
Liang Wang
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0172127
Subject(s) - nuclear medicine , receiver operating characteristic , effective diffusion coefficient , diffusion mri , medicine , kurtosis , magnetic resonance imaging , prostate cancer , diffusion imaging , area under curve , mathematics , cancer , nuclear magnetic resonance , radiology , statistics , physics , pharmacokinetics
Objectives To evaluate the diagnostic performance of different mathematical models and different b-value ranges of diffusion-weighted imaging (DWI) in peripheral zone prostate cancer (PZ PCa) detection. Methods Fifty-six patients with histologically proven PZ PCa who underwent DWI-magnetic resonance imaging (MRI) using 21 b-values (0–4500 s/mm 2 ) were included. The mean signal intensities of the regions of interest (ROIs) placed in benign PZs and cancerous tissues on DWI images were fitted using mono-exponential, bi-exponential, stretched-exponential, and kurtosis models. The b-values were divided into four ranges: 0–1000, 0–2000, 0–3200, and 0–4500 s/mm 2 , grouped as A, B, C, and D, respectively. ADC, , D*, f, DDC, α, D app , and K app were estimated for each group. The adjusted coefficient of determination (R 2 ) was calculated to measure goodness-of-fit. Receiver operating characteristic curve analysis was performed to evaluate the diagnostic performance of the parameters. Results All parameters except D* showed significant differences between cancerous tissues and benign PZs in each group. The area under the curve values (AUCs) of ADC were comparable in groups C and D ( p = 0.980) and were significantly higher than those in groups A and B ( p < 0.05 for all). The AUCs of ADC and K app in groups B and C were similar ( p = 0.07 and p = 0.954), and were significantly higher than the other parameters ( p < 0.001 for all). The AUCs of ADC in group D was slightly higher than K app ( p = 0.002), and both were significantly higher than the other parameters ( p < 0.001 for all). Conclusions ADC derived from conventional mono-exponential high b-value (3200 s/mm 2 ) models is an optimal parameter for PZ PCa detection.