Diffusion-weighted imaging of local recurrent prostate cancer after radiation therapy: Comparison with 22-core three-dimensional prostate mapping biopsy - Abstract

Accurate localization of local recurrence within the prostate gland is important to perform focal salvage therapy effectively with minimal complications.

The purpose of this study was to evaluate the usefulness of diffusion-weighted imaging (DWI) in the detection and localization of prostate cancer recurrence in patients with biochemical failure after definitive radiation therapy using 22-core three-dimensional prostate mapping biopsy (3D-PMB) as a standard reference. Ten patients who underwent magnetic resonance imaging and 22-core 3D-PMB were retrospectively analyzed. For visual assessment of DWI, the prostate was divided into 22 regions corresponding to 3D-PMB. Two diagnostic radiologists determined the presence of abnormal high signal intensity in each region on DWI, and the results of DWI were compared with those of 3D-PMB. Of the 220 regions, 16 regions in six patients were positive for cancer on 3D-PMB, and 30 regions in six patients were judged as positive on DWI. On a patient-by-patient basis, sensitivity and specificity were 100% (6/6) and 100% (4/4), respectively. On a region-by-region basis, sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 69% (11/16), 91% (185/204), 37% (11/30), 97% (185/190) and 89% (196/220), respectively. For discrepant localization between DWI and pathology, DWI-positive and pathology-positive regions tended to be adjacent to each other. In conclusion, DWI is a useful tool for the detection and localization of recurrent prostate cancer in patients with biochemical failure after radiation therapy and may be helpful in the planning of focal salvage therapy.

Written by:
Hara T, Inoue Y, Satoh T, Ishiyama H, Sakamoto S, Woodhams R, Baba S, Hayakawa K.   Are you the author?
Department of Diagnostic Radiology, Kitasato University School of Medicine, Kanagawa, Japan.

Reference: Magn Reson Imaging. 2012 Jul 20. Epub ahead of print.
doi: 10.1016/j.mri.2012.04.022


PubMed Abstract
PMID: 22819584

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