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Bias and Precision in Magnetic Resonance Imaging-Based Estimates of Renal Blood Flow: Assessment by Triangulation.
Alhummiany, Bashair A; Shelley, David; Saysell, Margaret; Olaru, Maria-Alexandra; Kühn, Bernd; Buckley, David L; Bailey, Julie; Wroe, Kelly; Coupland, Cherry; Mansfield, Michael W; Sourbron, Steven P; Sharma, Kanishka.
Afiliación
  • Alhummiany BA; Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.
  • Shelley D; Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.
  • Saysell M; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Olaru MA; Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.
  • Kühn B; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Buckley DL; Siemens Healthcare GmbH, Erlangen, Germany.
  • Bailey J; Siemens Healthcare GmbH, Erlangen, Germany.
  • Wroe K; Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK.
  • Coupland C; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Mansfield MW; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Sourbron SP; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Sharma K; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
J Magn Reson Imaging ; 55(4): 1241-1250, 2022 04.
Article en En | MEDLINE | ID: mdl-34397124
BACKGROUND: Renal blood flow (RBF) can be measured with dynamic contrast enhanced-MRI (DCE-MRI) and arterial spin labeling (ASL). Unfortunately, individual estimates from both methods vary and reference-standard methods are not available. A potential solution is to include a third, arbitrating MRI method in the comparison. PURPOSE: To compare RBF estimates between ASL, DCE, and phase contrast (PC)-MRI. STUDY TYPE: Prospective. POPULATION: Twenty-five patients with type-2 diabetes (36% female) and five healthy volunteers (HV, 80% female). FIELD STRENGTH/SEQUENCES: A 3 T; gradient-echo 2D-DCE, pseudo-continuous ASL (pCASL) and cine 2D-PC. ASSESSMENT: ASL, DCE, and PC were acquired once in all patients. ASL and PC were acquired four times in each HV. RBF was estimated and split-RBF was derived as (right kidney RBF)/total RBF. Repeatability error (RE) was calculated for each HV, RE = 1.96 × SD, where SD is the standard deviation of repeat scans. STATISTICAL TESTS: Paired t-tests and one-way analysis of variance (ANOVA) were used for statistical analysis. The 95% confidence interval (CI) for difference between ASL/PC and DCE/PC was assessed using two-sample F-test for variances. Statistical significance level was P < 0.05. Influential outliers were assessed with Cook's distance (Di > 1) and results with outliers removed were presented. RESULTS: In patients, the mean RBF (mL/min/1.73m2 ) was 618 ± 62 (PC), 526 ± 91 (ASL), and 569 ± 110 (DCE). Differences between measurements were not significant (P = 0.28). Intrasubject agreement was poor for RBF with limits-of-agreement (mL/min/1.73m2 ) [-687, 772] DCE-ASL, [-482, 580] PC-DCE, and [-277, 460] PC-ASL. The difference PC-ASL was significantly smaller than PC-DCE, but this was driven by a single-DCE outlier (P = 0.31, after removing outlier). The difference in split-RBF was comparatively small. In HVs, mean RE (±95% CI; mL/min/1.73 m2 ) was significantly smaller for PC (79 ± 41) than for ASL (241 ± 85). CONCLUSIONS: ASL, DCE, and PC RBF show poor agreement in individual subjects but agree well on average. Triangulation with PC suggests that the accuracy of ASL and DCE is comparable. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 2.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Circulación Renal / Medios de Contraste Tipo de estudio: Observational_studies Límite: Female / Humans / Male Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Circulación Renal / Medios de Contraste Tipo de estudio: Observational_studies Límite: Female / Humans / Male Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos