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2008 Annual Meeting Abstracts


Prostate Cancer Localization with 3 Tesla Endorectal T2-Weighted Magnetic Resonance Imaging: Correlation with Whole-Mount Histopathological Specimens
Kiranpreet K Khurana, Kevin B Blumenthal, H Brooks Hooper, Compton J Blumenthal, Nick Liu, Baris Turkbey, Haresh Mani, Maria Merino, Peter Choyke, Peter Pinto
Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD

Introduction:
The sensitivity and specificity of magnetic resonance imaging (MRI) for the detection of prostate cancer vary widely in the literature. It is crucial that the accuracy of MRI be determined in order to appropriately use MRI for diagnosis, planning and treatment of prostate cancer. We correlated T2 weighted preoperative 3 Tesla endorectal MRI (3T erMRI) findings with postoperative whole-mount step-section histopathology to verify the diagnostic abilities of MR imaging in localizing prostate cancer.
Methods:
We performed pelvic 3T erMRI on 22 patients with biopsy-proven prostate cancer who subsequently underwent radical prostatectomy. MR images were jointly reviewed by two radiologists, and prostatectomy specimens were jointly reviewed by two pathologists to determine the presence and location of prostate cancer. Correlation of the T2 weighted axial MR images to the whole mount pathologic specimens was then determined by side-by-side comparison. The correlation was based on division of the prostate into 5 levels from apex to base, and 6 sectors per level based on zonal anatomy. Each sector was evaluated for the presence and volume of prostate cancer. All lesions > 0.5 cc were included in analysis.
Results:
The sensitivity and specificity of T2-weighted erMRI for the detection of prostate cancer lesions greater than 0.5 cc was 85.7% and 78.4% respectively.
Conclusions:
Based on a rigorous review of MRI and whole-mount prostatectomy specimens, we have demonstrated that the high degree of sensitivity and specificity of 3T erMRI may permit use of this imaging modality for prostate cancer diagnosis, staging, and treatment.


 

 

 
     
     
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