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Influence of B(1)-Inhomogeneity on Pharmacokinetic Modeling of Dynamic Contrast-Enhanced MRI: A Simulation Study

OBJECTIVE: To simulate the B(1)-inhomogeneity-induced variation of pharmacokinetic parameters on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: B(1)-inhomogeneity-induced flip angle (FA) variation was estimated in a phantom study. Monte Carlo simulation was pe...

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Detalles Bibliográficos
Autores principales: Park, Bumwoo, Choi, Byung Se, Sung, Yu Sub, Woo, Dong-Cheol, Shim, Woo Hyun, Kim, Kyung Won, Choi, Yoon Seok, Pae, Sang Joon, Suh, Ji-Yeon, Cho, Hyungjoon, Kim, Jeong Kon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5447634/
https://www.ncbi.nlm.nih.gov/pubmed/28670153
http://dx.doi.org/10.3348/kjr.2017.18.4.585
Descripción
Sumario:OBJECTIVE: To simulate the B(1)-inhomogeneity-induced variation of pharmacokinetic parameters on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: B(1)-inhomogeneity-induced flip angle (FA) variation was estimated in a phantom study. Monte Carlo simulation was performed to assess the FA-deviation-induced measurement error of the pre-contrast R(1), contrast-enhancement ratio, Gd-concentration, and two-compartment pharmacokinetic parameters (K(trans), v(e), and v(p)). RESULTS: B(1)-inhomogeneity resulted in −23–5% fluctuations (95% confidence interval [CI] of % error) of FA. The 95% CIs of FA-dependent % errors in the gray matter and blood were as follows: −16.7–61.8% and −16.7–61.8% for the pre-contrast R(1), −1.0–0.3% and −5.2–1.3% for the contrast-enhancement ratio, and −14.2–58.1% and −14.1–57.8% for the Gd-concentration, respectively. These resulted in −43.1–48.4% error for K(trans), −32.3–48.6% error for the v(e), and −43.2–48.6% error for v(p). The pre-contrast R(1) was more vulnerable to FA error than the contrast-enhancement ratio, and was therefore a significant cause of the Gd-concentration error. For example, a −10% FA error led to a 23.6% deviation in the pre-contrast R(1), −0.4% in the contrast-enhancement ratio, and 23.6% in the Gd-concentration. In a simulated condition with a 3% FA error in a target lesion and a −10% FA error in a feeding vessel, the % errors of the pharmacokinetic parameters were −23.7% for K(trans), −23.7% for v(e), and −23.7% for v(p). CONCLUSION: Even a small degree of B(1)-inhomogeneity can cause a significant error in the measurement of pharmacokinetic parameters on DCE-MRI, while the vulnerability of the pre-contrast R(1) calculations to FA deviations is a significant cause of the miscalculation.