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Test-retest repeatability of ADC in prostate using the multi b-Value VERDICT acquisition.
Rogers, Harriet J; Singh, Saurabh; Barnes, Anna; Obuchowski, Nancy A; Margolis, Daniel J; Malyarenko, Dariya I; Chenevert, Thomas L; Shukla-Dave, Amita; Boss, Michael A; Punwani, Shonit.
Afiliación
  • Rogers HJ; Centre for Medical Imaging, Division of Medicine, University College London, London, UK. Electronic address: harrietr99@gmail.com.
  • Singh S; Centre for Medical Imaging, Division of Medicine, University College London, London, UK.
  • Barnes A; Centre for Medical Imaging, Division of Medicine, University College London, London, UK.
  • Obuchowski NA; Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, OH, USA.
  • Margolis DJ; Radiology, Weill Cornell Medicine, New York, NY, USA.
  • Malyarenko DI; Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
  • Chenevert TL; Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
  • Shukla-Dave A; Departments of Medical Physics and Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Boss MA; Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA.
  • Punwani S; Centre for Medical Imaging, Division of Medicine, University College London, London, UK.
Eur J Radiol ; 162: 110782, 2023 May.
Article en En | MEDLINE | ID: mdl-37004362
ABSTRACT

PURPOSE:

VERDICT (Vascular, Extracellular, Restricted Diffusion for Cytometry in Tumours) MRI is a multi b-value, variable diffusion time DWI sequence that allows generation of ADC maps from different b-value and diffusion time combinations. The aim was to assess precision of prostate ADC measurements from varying b-value combinations using VERDICT and determine which protocol provides the most repeatable ADC. MATERIALS AND

METHODS:

Forty-one men (median age 67.7 years) from a prior prospective VERDICT study (April 2016-October 2017) were analysed retrospectively. Men who were suspected of prostate cancer and scanned twice using VERDICT were included. ADC maps were formed using 5b-value combinations and the within-subject standard deviations (wSD) were calculated per ADC map. Three anatomical locations were analysed per subject normal TZ (transition zone), normal PZ (peripheral zone), and index lesions. Repeated measures ANOVAs showed which b-value range had the lowest wSD, Spearman correlation and generalized linear model regression analysis determined whether wSD was related to ADC magnitude and ROI size.

RESULTS:

The mean lesion ADC for b0b1500 had the lowest wSD in most zones (0.18-0.58x10-4 mm2/s). The wSD was unaffected by ADC magnitude (Lesion p = 0.064, TZ p = 0.368, PZ p = 0.072) and lesion Likert score (p = 0.95). wSD showed a decrease with ROI size pooled over zones (p = 0.019, adjusted regression coefficient = -1.6x10-3, larger ROIs for TZ versus PZ versus lesions). ADC maps formed with a maximum b-value of 500 s/mm2 had the largest wSDs (1.90-10.24x10-4 mm2/s).

CONCLUSION:

ADC maps generated from b0b1500 have better repeatability in normal TZ, normal PZ, and index lesions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Neoplasias de la Próstata Tipo de estudio: Observational_studies / Prognostic_studies Límite: Aged / Humans / Male Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Neoplasias de la Próstata Tipo de estudio: Observational_studies / Prognostic_studies Límite: Aged / Humans / Male Idioma: En Revista: Eur J Radiol Año: 2023 Tipo del documento: Article
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