TY - JOUR
T1 - Multiparametric magnetic resonance imaging characterization of prostate lesions in the active surveillance population
T2 - Incremental value of magnetic resonance imaging for prediction of disease reclassification
AU - Bonekamp, David
AU - Bonekamp, Susanne
AU - Mullins, Jeffrey K.
AU - Epstein, Jonathan I.
AU - Carter, H. Ballentine
AU - Macura, Katarzyna J.
PY - 2013
Y1 - 2013
N2 - OBJECTIVE: This study aimed to characterize prostate lesions by multiparametric magnetic resonance imaging (MRI) in active surveillance (AS) and examine the incremental predictive value of MRI in comparison with clinical parameters for disease reclassification. METHODS: Blinded imaging review of 3-T endorectal mMRI from 50 consecutive men was performed. Multiparametric MRI biomarkers and morphological parameters and the predictive value of a suspicious MR lesion of 10 mm or greater for clinical or histopathologic disease reclassification were assessed. RESULTS: Nine patients were reclassified as AS noneligible during follow-up. Morphological parameters, magnetic resonance spectroscopic imaging, and dynamic contrast-enhanced MRI were associated with disease reclassification. Multiparametric MRI best predicted disease reclassification in patients who did not meet clinical AS enrollment criteria and had a suspicious lesion 10 mm or greater, followed by patients with a suspicious lesion of 10 mm or greater. Not meeting enrollment criteria alone was not a significant predictor of disease reclassification. CONCLUSIONS: Multiparametric MRI demonstrates incremental predictive value when used in combination with clinical AS enrollment criteria and supports the assessment of eligibility for AS.
AB - OBJECTIVE: This study aimed to characterize prostate lesions by multiparametric magnetic resonance imaging (MRI) in active surveillance (AS) and examine the incremental predictive value of MRI in comparison with clinical parameters for disease reclassification. METHODS: Blinded imaging review of 3-T endorectal mMRI from 50 consecutive men was performed. Multiparametric MRI biomarkers and morphological parameters and the predictive value of a suspicious MR lesion of 10 mm or greater for clinical or histopathologic disease reclassification were assessed. RESULTS: Nine patients were reclassified as AS noneligible during follow-up. Morphological parameters, magnetic resonance spectroscopic imaging, and dynamic contrast-enhanced MRI were associated with disease reclassification. Multiparametric MRI best predicted disease reclassification in patients who did not meet clinical AS enrollment criteria and had a suspicious lesion 10 mm or greater, followed by patients with a suspicious lesion of 10 mm or greater. Not meeting enrollment criteria alone was not a significant predictor of disease reclassification. CONCLUSIONS: Multiparametric MRI demonstrates incremental predictive value when used in combination with clinical AS enrollment criteria and supports the assessment of eligibility for AS.
KW - active surveillance
KW - disease reclassification
KW - index lesion
KW - multiparametric MRI
KW - prostate cancer
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U2 - 10.1097/RCT.0b013e31829ae20a
DO - 10.1097/RCT.0b013e31829ae20a
M3 - Article
C2 - 24270118
AN - SCOPUS:84889027505
SN - 0363-8715
VL - 37
SP - 948
EP - 956
JO - Journal of computer assisted tomography
JF - Journal of computer assisted tomography
IS - 6
ER -