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Comparing diagnostic accuracy of luminal water imaging with diffusion-weighted and dynamic contrast-enhanced MRI in prostate cancer: A quantitative MRI study.
Sabouri, Shirin; Chang, Silvia D; Goldenberg, S Larry; Savdie, Richard; Jones, Edward C; Black, Peter C; Fazli, Ladan; Kozlowski, Piotr.
Afiliação
  • Sabouri S; UBC MRI Research Center, Vancouver, BC, Canada.
  • Chang SD; Department of Radiology, University of British Columbia, Vancouver, BC, Canada.
  • Goldenberg SL; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
  • Savdie R; Vancouver Prostate Centre, Vancouver, BC, Canada.
  • Jones EC; Department of Radiology, University of British Columbia, Vancouver, BC, Canada.
  • Black PC; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
  • Fazli L; Vancouver Prostate Centre, Vancouver, BC, Canada.
  • Kozlowski P; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
NMR Biomed ; 32(2): e4048, 2019 02.
Article em En | MEDLINE | ID: mdl-30575145
ABSTRACT
Luminal water imaging (LWI) is a new MRI T2 mapping technique that has been developed with the aim of diagnosis of prostate carcinoma (PCa). This technique measures the fractional amount of luminal water in prostate tissue, and has shown promising preliminary results in detection of PCa. To include LWI in clinical settings, further investigation on the accuracy of this technique is required. In this study, we compare the diagnostic accuracy of LWI with those of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI in detection and grading of PCa. Fifteen patients with biopsy-proven PCa consented to participate in this ethics-board-approved prospective study. Patients were examined with LWI, DWI, and DCE sequences at 3 T prior to radical prostatectomy. Maps of MRI parameters were generated and registered to whole-mount histology. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic accuracy of individual and combined MR parameters. Correlation with Gleason score (GS) was evaluated using Spearman's rank correlation test. The results show that area under the ROC curve (AUC) obtained from LWI was equal to or higher than the AUC obtained from DWI, DCE, or their combination, in peripheral zone (0.98 versus 0.90, 0.89, and 0.91 respectively), transition zone (0.99 versus 0.98, n/a, and 0.98), and the entire prostate (0.85 versus 0.81, 0.75, and 0.84). The strongest correlation with GS was achieved from LWI (ρ = -0.81 ± 0.09, P < 0.001). Results of this pilot study show that LWI performs equally well as, or better than, DWI and DCE in detection of PCa. LWI provides significantly higher correlation with GS than DWI and DCE. This technique can potentially be included in clinical MRI protocols to improve characterization of tumors. However, considering the small size of the patient population in this study, a further study with a larger cohort of patients and broader range of GS is required to confirm the findings and draw a firm conclusion on the applicability of LWI in clinical settings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética / Água / Meios de Contraste / Imagem de Difusão por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies Limite: Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética / Água / Meios de Contraste / Imagem de Difusão por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies Limite: Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Canadá