In:
The British Journal of Radiology, British Institute of Radiology, Vol. 92, No. 1100 ( 2019-08), p. 20190181-
Abstract:
The objectives of the study were to analyze the apparent diffusion coefficient (ADC), k trans , k ep metrics in dynamic contrast-enhanced multiparametric MRI (DCE-mpMRI) in biopsy proven cases of prostate cancer (PCa) and prostatitis and to establish “cut-off” values for various pharmacokinetic parameters that may distinguish PCa from chronic prostatitis. Methods: A retrospective review of all cases of PCa and chronic prostatitis patients, who underwent DCE-mpMRI in our institute was done from July 2017 to January 2019. Mean ADC, k trans , k ep for lesion “L” (ADCL, k trans L , k epL ) and normal prostate tissue “N” (ADCN, k trans N , k epN ,) were calculated for each region of interest. Different ratios ADC ratio (defined as ADCL/ ADCN), k trans ratio (k trans L / k trans N ), k ep ratio (k epL /k epN ) were calculated to differentiate PCa from chronic prostatitis. Results: Total of biopsy proven 14 cases of PCa and 18 cases of chronic prostatitis were included in the study. For k trans ratio, the optimal cut-off was at 1.49 units where sensitivity was 85.7%, specificity was 61.1 % and Youden’s index was 0.468 %. Similarly, optimal cut-offs determined for k ep lesion was 0.86 (sensitivity 85.7%, specificity 66.7%, J = 0.524) and for k ep ratio was 1.34 units (sensitivity 78.6%, specificity 66.7%, J = 0.543). Conclusion: DCE-mpMRI metrics could differentiate between PCa and chronic prostatitis with good specificity and sensitivity, while ProstateImaging Reporting and Data System v. 2 alone, did not differentiate between these patterns. Advances in knowledge: k trans ratio, k ep lesion and k ep ratio can differentiate PCa from chronic prostatitis.
Type of Medium:
Online Resource
ISSN:
0007-1285
,
1748-880X
DOI:
10.1259/bjr.20190181
Language:
English
Publisher:
British Institute of Radiology
Publication Date:
2019
detail.hit.zdb_id:
1468548-6
