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Contrast-Enhanced Ultrasound (CEUS) and Quantitative Perfusion Analysis in Patients with Suspicion for Prostate Cancer.
Maxeiner, Andreas; Fischer, Thomas; Schwabe, Julia; Baur, Alexander Daniel Jacques; Stephan, Carsten; Peters, Robert; Slowinski, Torsten; von Laffert, Maximilian; Marticorena Garcia, Stephan Rodrigo; Hamm, Bernd; Jung, Ernst-Michael.
Afiliación
  • Maxeiner A; Urology, Charité - Universitätsmedizin Berlin, Germany.
  • Fischer T; Radiology, Charité - Universitätsmedizin Berlin, Germany.
  • Schwabe J; Radiology, Charité - Universitätsmedizin Berlin, Germany.
  • Baur ADJ; Radiology, Charité - Universitätsmedizin Berlin, Germany.
  • Stephan C; Urology, Charité - Universitätsmedizin Berlin, Germany.
  • Peters R; Urology, Charité - Universitätsmedizin Berlin, Germany.
  • Slowinski T; Nephrology, Charité - Universitätsmedizin Berlin, Germany.
  • von Laffert M; Pathology, Charité - Universitätsmedizin Berlin, Germany.
  • Marticorena Garcia SR; Radiology, Charité - Universitätsmedizin Berlin, Germany.
  • Hamm B; Radiology, Charité - Universitätsmedizin Berlin, Germany.
  • Jung EM; Radiology, Universitätsklinikum Regensburg, Germany.
Ultraschall Med ; 40(3): 340-348, 2019 Jun.
Article en En | MEDLINE | ID: mdl-29874683
PURPOSE: The aim of this study was to investigate contrast-enhanced ultrasound (CEUS) parameters acquired by software during magnetic resonance imaging (MRI) US fusion-guided biopsy for prostate cancer (PCa) detection and discrimination. MATERIALS AND METHODS: From 2012 to 2015, 158 out of 165 men with suspicion for PCa and with at least 1 negative biopsy of the prostate were included and underwent a multi-parametric 3 Tesla MRI and an MRI/US fusion-guided biopsy, consecutively. CEUS was conducted during biopsy with intravenous bolus application of 2.4 mL of SonoVue® (Bracco, Milan, Italy). In the latter CEUS clips were investigated using quantitative perfusion analysis software (VueBox, Bracco). The area of strongest enhancement within the MRI pre-located region was investigated and all available parameters from the quantification tool box were collected and analyzed for PCa and its further differentiation was based on the histopathological results. RESULTS: The overall detection rate was 74 (47 %) PCa cases in 158 included patients. From these 74 PCa cases, 49 (66 %) were graded Gleason ≥ 3 + 4 = 7 (ISUP ≥ 2) PCa. The best results for cancer detection over all quantitative perfusion parameters were rise time (p = 0.026) and time to peak (p = 0.037). Within the subgroup analysis (> vs ≤ 3 + 4 = 7a (ISUP 2)), peak enhancement (p = 0.012), wash-in rate (p = 0.011), wash-out rate (p = 0.007) and wash-in perfusion index (p = 0.014) also showed statistical significance. CONCLUSION: The quantification of CEUS parameters was able to discriminate PCa aggressiveness during MRI/US fusion-guided prostate biopsy.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Ultrasonografía Tipo de estudio: Diagnostic_studies Límite: Humans / Male Idioma: En Revista: Ultraschall Med Año: 2019 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Ultrasonografía Tipo de estudio: Diagnostic_studies Límite: Humans / Male Idioma: En Revista: Ultraschall Med Año: 2019 Tipo del documento: Article País de afiliación: Alemania