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Multiparametric Magnetic Resonance Imaging of the Prostate for Tumour Detection and Local Staging: Imaging in 1.5T and Histopathologic Correlation

Authors :
Theodoros Kalogeropoulos
Anastasios Gyftopoulos
Nikolaos Kelekis
Nikolaos Economopoulos
Aikaterini Apostolaki
Anastasios Thanos
Dimitra Loggitsi
Efthimia Alexopoulou
Source :
Canadian Association of Radiologists Journal. 68:379-386
Publication Year :
2017
Publisher :
SAGE Publications, 2017.

Abstract

Purpose The study sought to prospectively evaluate which technique among T2-weighted images, dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI), diffusion-weighted (DW) MRI, or a combination of the 2, is best suited for prostate cancer detection and local staging. Methods Twenty-seven consecutive patients with biopsy-proven adenocarcinoma of the prostate underwent MRI on a 1.5T scanner with a surface phased-array coil prior radical prostatectomy. Combined anatomical and functional imaging was performed with the use of T2-weighted sequences, DCE MRI, and DW MRI. We compared the imaging results with whole mount histopathology. Results For the multiparametric approach, significantly higher sensitivity values, that is, 53% (95% confidence interval [CI]: 41.0-64.1) were obtained as compared with each modality alone or any combination of the 3 modalities ( P < .05). The specificity for this multiparametric approach, being 90.3% (95% CI: 86.3-93.3) was not significantly higher ( P < .05) as compared with the values of the combination of T2+DCE MRI, DW+DCE MRI, or DCE MRI alone. Among the 3 techniques, DCE had the best performance for tumour detection in both the peripheral and the transition zone. High negative predictive value rates (>86%) were obtained for both tumour detection and local staging. Conclusions The combination of T2-weighted sequences, DCE MRI, and DW MRI yields higher diagnostic performance for tumour detection and local staging than can any of these techniques alone or even any combination of them.

Details

ISSN :
14882361 and 08465371
Volume :
68
Database :
OpenAIRE
Journal :
Canadian Association of Radiologists Journal
Accession number :
edsair.doi.dedup.....94857bd76c1d535f10a97c4f7ecbed5a
Full Text :
https://doi.org/10.1016/j.carj.2017.02.003