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Eur Radiol ; 28(9): 3760-3769, 2018 Sep.
Article in English | MEDLINE | ID: mdl-29633004

ABSTRACT

PURPOSE: To assess the added value of the dynamic contrast-enhanced sequence (DCE) to combination T2-weighted imaging (T2w) + diffusion-weighted imaging (DWI) in detecting prostate cancer (PCa) recurrence after HIFU (high-intensity focused ultrasound). METHODS: Forty-five males with clinical and biological suspected PCa recurrence were retrospectively selected. All underwent multi-parametric MRI (mpMRI) before biopsies. Two readers independently assigned a Likert score of cancer likelihood on T2w + DWI + DCE and T2w + DWI images. Prostatic biopsies were taken as the gold standard. RESULTS: Recurrent PCa was identified at biopsy for 37 patients (82%). Areas under the receiver-operating curve of T2w + DWI and T2w + DWI + DCE imaging were not significantly different for both readers. Using a Likert score ≥ 3 for the PCa diagnosis threshold, sensitivity at the lobe level for the (1) senior and (2) junior reader for T2w +DWI +DCE sensitivity was (1) 0.97 and (2) 0.94 vs. (1) 0.94 and (2) 0.97 for T2w + DWI. CONCLUSION: Accuracy of mpMRI was not significantly improved by adding DCE to T2w + DWI. Sensitivity was high for T2w + DWI + DCE and T2w + DWI with no significant difference for either the junior or senior reader. KEY POINTS: • MpMRI has the capability to detect PCa recurrence in post-HIFU monitoring. • The sensitivity of T2w and DWI for detecting PCa recurrence was not improved by DCE. • Readers with different degrees of experience did not improve their performance with DCE.


Subject(s)
Contrast Media , High-Intensity Focused Ultrasound Ablation/methods , Magnetic Resonance Imaging/methods , Neoplasm Recurrence, Local/diagnostic imaging , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/surgery , Aged , Biopsy , Diffusion Magnetic Resonance Imaging/methods , Humans , Image Enhancement/methods , Male , Prostate/diagnostic imaging , Prostate/surgery , Prostatic Neoplasms/pathology , Retrospective Studies , Sensitivity and Specificity
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