Prediction of prostate cancer extracapsular extension with high spatial resolution dynamic contrast-enhanced 3-T MRI

B. Nicolas Bloch, Elizabeth M. Genega, Daniel N. Costa, Ivan Pedrosa, Martin P. Smith, Herbert Y. Kressel, Long Ngo, Martin G. Sanda, William C. DeWolf, Neil M. Rofsky

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

Objectives To assess the value of dynamic contrast-enhanced (DCE) combined with T2-weighted (T2W) endorectal coil (ERC) magnetic resonance imaging (MRI) at 3 T for determining extracapsular extension (ECE) of prostate cancer. Methods In this IRB-approved study, ERC 3-T MRI of the prostate was performed in 108 patients before radical prostatectomy. T2W fast spin-echo and DCE 3D gradient echo images were acquired. The interpretations of readers with varied experience were analysed. MRI-based staging results were compared with radical prostatectomy histology. Descriptive statistics were generated for prediction of ECE and staging accuracies were determined by the area under the receiver-operating characteristic curve. Results The overall sensitivity, specificity, positive predictive value and negative predictive value for ECE were 75 %, 92 %, 79 % and 91 %, respectively. Diagnostic accuracy for staging was 86 %, 80 % and 91 % for all readers, experienced and less experienced readers, respectively. Conclusions ERC 3-T MRI of the prostate combining DCE and T2W imaging is an accurate pretherapeutic staging tool for assessment of ECE in clinical practice across varying levels of reader experience.

Original languageEnglish (US)
Pages (from-to)2201-2210
Number of pages10
JournalEuropean Radiology
Volume22
Issue number10
DOIs
StatePublished - Oct 2012

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Prostatic Neoplasms
Magnetic Resonance Imaging
Prostatectomy
Prostate
Research Ethics Committees
ROC Curve
Histology
Sensitivity and Specificity

Keywords

  • Cancer staging
  • Clinical interpretation
  • Learning curve
  • Magnetic resonance imaging
  • Prostate cancer

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Prediction of prostate cancer extracapsular extension with high spatial resolution dynamic contrast-enhanced 3-T MRI. / Bloch, B. Nicolas; Genega, Elizabeth M.; Costa, Daniel N.; Pedrosa, Ivan; Smith, Martin P.; Kressel, Herbert Y.; Ngo, Long; Sanda, Martin G.; DeWolf, William C.; Rofsky, Neil M.

In: European Radiology, Vol. 22, No. 10, 10.2012, p. 2201-2210.

Research output: Contribution to journalArticle

Bloch, B. Nicolas ; Genega, Elizabeth M. ; Costa, Daniel N. ; Pedrosa, Ivan ; Smith, Martin P. ; Kressel, Herbert Y. ; Ngo, Long ; Sanda, Martin G. ; DeWolf, William C. ; Rofsky, Neil M. / Prediction of prostate cancer extracapsular extension with high spatial resolution dynamic contrast-enhanced 3-T MRI. In: European Radiology. 2012 ; Vol. 22, No. 10. pp. 2201-2210.
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abstract = "Objectives To assess the value of dynamic contrast-enhanced (DCE) combined with T2-weighted (T2W) endorectal coil (ERC) magnetic resonance imaging (MRI) at 3 T for determining extracapsular extension (ECE) of prostate cancer. Methods In this IRB-approved study, ERC 3-T MRI of the prostate was performed in 108 patients before radical prostatectomy. T2W fast spin-echo and DCE 3D gradient echo images were acquired. The interpretations of readers with varied experience were analysed. MRI-based staging results were compared with radical prostatectomy histology. Descriptive statistics were generated for prediction of ECE and staging accuracies were determined by the area under the receiver-operating characteristic curve. Results The overall sensitivity, specificity, positive predictive value and negative predictive value for ECE were 75 {\%}, 92 {\%}, 79 {\%} and 91 {\%}, respectively. Diagnostic accuracy for staging was 86 {\%}, 80 {\%} and 91 {\%} for all readers, experienced and less experienced readers, respectively. Conclusions ERC 3-T MRI of the prostate combining DCE and T2W imaging is an accurate pretherapeutic staging tool for assessment of ECE in clinical practice across varying levels of reader experience.",
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AU - Costa, Daniel N.

AU - Pedrosa, Ivan

AU - Smith, Martin P.

AU - Kressel, Herbert Y.

AU - Ngo, Long

AU - Sanda, Martin G.

AU - DeWolf, William C.

AU - Rofsky, Neil M.

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