Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer.

Purpose: To compare diagnostic performance of PI-RADSv2 with ADC parameters to identify clinically significant prostate cancer (csPC) and to determine the impact of csPC definitions on diagnostic performance of ADC and PI-RADSv2.Methods: We retrospectively identified treatment-naïve pathology-proven...

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Published in:Abdominal Radiology Vol. 43; no. 5; pp. 1237 - 1245
Main Authors: Hassanzadeh, Elmira, Alessandrino, Francesco, Olubiyi, Olutayo I., Glazer, Daniel I., Mulkern, Robert V., Fedorov, Andriy, Tempany, Clare M., Fennessy, Fiona M.
Format: Journal Article
Published: Springer Nature May2018
Online Access:View this record in EBSCOhost
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      dt: May2018
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      pub: Springer Nature
      place: New York, New York
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        129132791
        10.1007/s00261-017-1297-y
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        atl: Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer.
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          Hassanzadeh, Elmira
          Alessandrino, Francesco
          Olubiyi, Olutayo I.
          Glazer, Daniel I.
          Mulkern, Robert V.
          Fedorov, Andriy
          Tempany, Clare M.
          Fennessy, Fiona M.
        affil: Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, 02115, Boston, MA, USA
      sug:
      ab: Purpose: To compare diagnostic performance of PI-RADSv2 with ADC parameters to identify clinically significant prostate cancer (csPC) and to determine the impact of csPC definitions on diagnostic performance of ADC and PI-RADSv2.Methods: We retrospectively identified treatment-naïve pathology-proven peripheral zone PC patients who underwent 3T prostate MRI, using high<italic> b</italic>-value diffusion-weighted imaging from 2011 to 2015. Using 3D slicer, areas of suspected tumor (T) and normal tissue (N) on ADC (<italic>b</italic> = 0, 1400) were outlined volumetrically. Mean ADCT, mean ADCN, ADCratio (ADCT/ADCN) were calculated. PI-RADSv2 was assigned. Three csPC definitions were used: (A) Gleason score (GS) ≥ 4 + 3; (B) GS ≥ 3 + 4; (C) MRI-based tumor volume >0.5 cc. Performances of ADC parameters and PI-RADSv2 in identifying csPC were measured using nonparametric comparison of receiver operating characteristic curves using the area under the curve (AUC).Results: Eighty five cases met eligibility requirements. Diagnostic performances (AUC) in identifying csPC using three definitions were: (A) ADCT (0.83) was higher than PI-RADSv2 (0.65, <italic>p</italic> = 0.006); (B) ADCT (0.86) was higher than ADCratio (0.68, <italic>p</italic> < 0.001), and PI-RADSv2 (0.70, <italic>p</italic> = 0.04); (C) PI-RADSv2 (0.73) performed better than ADCratio (0.56, <italic>p</italic> = 0.02). ADCT performance was higher when csPC was defined by A or B versus C (<italic>p</italic> = 0.038 and <italic>p</italic> = 0.01, respectively). ADCratio performed better when csPC was defined by A versus C (<italic>p</italic> = 0.01). PI-RADSv2 performance was not affected by csPC definition.Conclusions: When csPC was defined by GS, ADC parameters provided better csPC discrimination than PI-RADSv2, with ADCT providing best result. When csPC was defined by MRI-calculated volume, PI-RADSv2 provided better discrimination than ADCratio. csPC definition did not affect PI-RADSv2 diagnostic performance.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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