کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3999319 1259332 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prostate cancer risk stratification with magnetic resonance imaging
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی تومور شناسی
پیش نمایش صفحه اول مقاله
Prostate cancer risk stratification with magnetic resonance imaging
چکیده انگلیسی


• mpMRI can improve prostate cancer staging.
• mpMRI can influence the decision of whether to spare the neurovascular bundle.
• mpMRI can improve selection of men for active surveillance.
• Tumor ADC is an important biomarker.
• mpMRI fails to detect a small but significant number of significant cancers.

In recent years, multiparametric magnetic resonance imaging (mpMRI) has shown promise for prostate cancer (PCa) risk stratification. mpMRI, often followed by targeted biopsy, can be used to confirm low-grade disease before enrollment in active surveillance. In patients with intermediate or high-risk PCa, mpMRI can be used to inform surgical management. mpMRI has sensitivity of 44% to 87% for detection of clinically significant PCa and negative predictive value of 63% to 98% for exclusion of significant disease. In addition to tumor identification, mpMRI has also been shown to contribute significant incremental value to currently used clinical nomograms for predicting extraprostatic extension. In combination with conventional clinical criteria, accuracy of mpMRI for prediction of extraprostatic extension ranges from 92% to 94%, significantly higher than that achieved with clinical criteria alone. Supplemental sequences, such as diffusion-weighted imaging and dynamic contrast-enhanced imaging, allow quantitative evaluation of cancer-suspicious regions. Apparent diffusion coefficient appears to be an independent predictor of PCa aggressiveness. Addition of apparent diffusion coefficient to Epstein criteria may improve sensitivity for detection of significant PCa by as much as 16%. Limitations of mpMRI include variability in reporting, underestimation of PCa volume and failure to detect clinically significant disease in a small but significant number of cases.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Urologic Oncology: Seminars and Original Investigations - Volume 34, Issue 7, July 2016, Pages 311–319
نویسندگان
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