Multiparametric magnetic resonance imaging characterization of prostate lesions in the active surveillance population: Incremental value of magnetic resonance imaging for prediction of disease reclassification

David Bonekamp, Susanne Bonekamp, Jeffrey K. Mullins, Jonathan I. Epstein, H. Ballentine Carter, Katarzyna J. Macura

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)948-956
Number of pages9
JournalJournal of computer assisted tomography
Volume37
Issue number6
DOIs
StatePublished - Nov 1 2013

Keywords

  • active surveillance
  • disease reclassification
  • index lesion
  • multiparametric MRI
  • prostate cancer

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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