Comparison of semi-automated and manual methods to measure the volume of prostate cancer on magnetic resonance imaging

  • L. Marin
  • , M. Ezziane
  • , E. Comperat
  • , P. Mozer
  • , G. Cancel-Tassin
  • , J. F. Coté
  • , Daniel Racoceanu
  • , F. Boudghene
  • , O. Lucidarme
  • , O. Cussenot
  • , R. Renard Penna

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

17 Citas (Scopus)

Resumen

Purpose: The purpose of this study was to determine the accuracy of manual semi-automated and volumetric measurements to assess prostate cancer volume on multiparametric magnetic resonance imaging (MP-MRI) using whole-mount histopathology for validation. Materials and methods: We evaluated 30 consecutive men (median age, 65.7 years; interquartile range [IQR], 61.5-70.9 years) with a median prostatic specific antigen of 8.5ng/dL (IQR, 5.5-10.5ng/dL), who underwent MP-MRI before radical prostatectomy. Index tumor volume was determined prospectively and independently on the basis of MRI and whole-mount section volumetric assessment using the maximum histologic diameter (MHD) and the histologic volume (HV). The MRI index tumor volume was determined by two independent radiologists using a single measurement of the maximum tumor dimension (MTD), a simplified MR ellipsoid volume (MREV) calculation and a MR region of interest volume (MROV) segmentation displayed by a commercially available OsiriX®. MTD was compared to MHD, whereas MREV and MROV were compared to HV. Results: Thirty index lesions (median HV, 1.514 cm3; IQR, 0.05-3.780 cm3) were analyzed. The MREV, MROV and HD were significantly correlated with each other (r>0.5). Inter-observer agreement for measurements was good for each method (r>0.780). The MTD was the best predictor of maximum histologic diameter (rCombining double low line0.980 and 0.791) and had an excellent inter-variability correlation (P
Idioma originalEspañol
Páginas (desde-hasta)423-428
Número de páginas6
PublicaciónDiagnostic and Interventional Imaging
Volumen98
EstadoPublicada - 1 may. 2017

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar

Citar esto