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Optimal length and temporal resolution of dynamic contrast-enhanced MR imaging for the differentiation between prostate cancer and normal peripheral zone tissue.
Hellstern, Marius; Martinez, Carlos; Wallenhorst, Christopher; Beyersdorff, Dirk; Lüdemann, Lutz; Grimm, Marc-Oliver; Teichgräber, Ulf; Franiel, Tobias.
Afiliação
  • Hellstern M; Bürgerhospital und Clementin Kinderhospital gGmbH, Frankfurt am Main, Germany.
  • Martinez C; Institute for Epidemiology, Statistics and Informatics GmbH, Frankfurt am Main, Germany.
  • Wallenhorst C; Institute for Epidemiology, Statistics and Informatics GmbH, Frankfurt am Main, Germany.
  • Beyersdorff D; Department of Diagnostic and Interventional Radiology, University Hospital Hamburg Eppendorf, Hamburg, Germany.
  • Lüdemann L; Department of Medical Physics, Essen University Hospital, Essen, Germany.
  • Grimm MO; Klinik und Poliklinik für Urologie Universitätsklinikum Jena, Jena, Germany.
  • Teichgräber U; Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Jena, Jena, Germany.
  • Franiel T; Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Jena, Jena, Germany.
PLoS One ; 18(6): e0287651, 2023.
Article em En | MEDLINE | ID: mdl-37352312
The value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in the detection of prostate cancer is controversial. There are currently insufficient peer reviewed published data or expert consensus to support routine adoption of DCE-MRI for clinical use. Thus, the objective of this study was to explore the optimal temporal resolution and measurement length for DCE-MRI to differentiate cancerous from normal prostate tissue of the peripheral zone of the prostate by non-parametric MRI analysis and to compare with a quantitative MRI analysis. Predictors of interest were onset time, relative signal intensity (RSI), wash-in slope, peak enhancement, wash-out and wash-out slope determined from non-parametric characterisation of DCE-MRI intensity-time profiles. The discriminatory power was estimated from C-statistics based on cross validation. We analyzed 54 patients with 97 prostate tissue specimens (47 prostate cancer, 50 normal prostate tissue) of the peripheral zone, mean age 63.8 years, mean prostate-specific antigen 18.9 ng/mL and mean of 10.5 days between MRI and total prostatectomy. When comparing prostate cancer tissue with normal prostate tissue, median RSI was 422% vs 330%, and wash-in slope 0.870 vs 0.539. The peak enhancement of 67 vs 42 was higher with prostate cancer tissue, while wash-out (-30% vs -23%) and wash-out slope (-0.037 vs -0.029) were lower, and the onset time (32 seconds) was comparable. The optimal C-statistics was 0.743 for temporal resolution of 8.0 seconds and measurement length of 2.5 minutes compared with 0.656 derived from a quantitative MRI analysis. This study provides evidence that the use of a non-parametric approach instead of a more established parametric approach resulted in greater precision to differentiate cancerous from normal prostate tissue of the peripheral zone of the prostate.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Meios de Contraste Limite: Humans / Male / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Meios de Contraste Limite: Humans / Male / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha