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Dynamic Contrast-enhanced MR Imaging Curve-type Analysis: Is It Helpful in the Differentiation of Prostate Cancer from Healthy Peripheral Zone?
Hansford, Barry G; Peng, Yahui; Jiang, Yulei; Vannier, Michael W; Antic, Tatjana; Thomas, Stephen; McCann, Stephanie; Oto, Aytekin.
Afiliação
  • Hansford BG; From the Departments of Radiology (B.G.H., Y.J., M.W.V., S.T., S.M., A.O.) and Pathology (T.A.), University of Chicago Medical Center, 5841 S Maryland Ave, MC 526, Chicago, IL 60637; and School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China (Y.P.).
Radiology ; 275(2): 448-57, 2015 May.
Article em En | MEDLINE | ID: mdl-25559231
PURPOSE: To evaluate the performance and interobserver agreement of qualitative dynamic contrast material enhanced magnetic resonance (MR) imaging curve analysis as described in the Prostate Imaging Reporting and Data System (PI-RADS) for the differentiation of prostate cancer (PCa) from healthy prostatic tissue in the peripheral zone (PZ). MATERIALS AND METHODS: This Health Insurance Portability and Accountability Act-compliant institutional review board-approved retrospective analysis included 120 consecutive pretreatment dynamic contrast-enhanced (DCE) MR imaging PCa examinations. Regions of interest (ROIs) were placed in 251 spots, including 95 (37.8%) in healthy PZ tissue and 156 (62.2%) in PCa, by using detailed histologic-multiparametric MR correlation review. Three radiologists reviewed the DCE time curves and assessed qualitative curve types as described in PI-RADS: type 1 (progressive), type 2 (plateau), or type 3 (washout). Receiver operating characteristic curve analysis was used to assess accuracy in differentiating PCa from healthy tissue on the basis of curve type, and κ was calculated to assess interobserver agreement. RESULTS: Receiver operating characteristic curves were similar for all observers, but mean areas under the receiver operating characteristic curve were poor (0.58 ± 0.04 [standard deviation] to 0.63 ± 0.04). No differences in accuracy were seen for varying DCE time resolution and imaging length. Observer agreement in assessment of type 3 versus types 1 or 2 curves was substantial (0.66 < κ < 0.79), better for PCa ROIs than for healthy-tissue ROIs. The agreement between type 1 and type 2 curves was moderate to substantial (0.49 < κ < 0.78). CONCLUSION: Qualitative DCE MR imaging time-curve-type analysis performs poorly for differentiation of PCa from healthy prostatic tissue. Interobserver agreement is excellent in assessment of type 3 curves but only moderate for type 1 and 2 curves.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Próstata / Neoplasias da Próstata / Imageamento por Ressonância Magnética / Meios de Contraste Tipo de estudo: Diagnostic_studies / Evaluation_studies / Observational_studies / Qualitative_research Limite: Humans / Male / Middle aged Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Próstata / Neoplasias da Próstata / Imageamento por Ressonância Magnética / Meios de Contraste Tipo de estudo: Diagnostic_studies / Evaluation_studies / Observational_studies / Qualitative_research Limite: Humans / Male / Middle aged Idioma: En Ano de publicação: 2015 Tipo de documento: Article