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Quantitative Measure of Lung Structure and Function Obtained from Hyperpolarized Xenon Spectroscopy.
Ruppert, Kai; Loza, Luis; Amzajerdian, Faraz; Hamedani, Hooman; Baron, Ryan; Kadlecek, Stephen; Rizi, Rahim.
Afiliação
  • Ruppert K; Department of Radiology, University of Pennsylvania; kai.ruppert@pennmedicine.upenn.edu.
  • Loza L; Department of Radiology, University of Pennsylvania.
  • Amzajerdian F; Department of Radiology, University of Pennsylvania.
  • Hamedani H; Department of Radiology, University of Pennsylvania.
  • Baron R; Department of Radiology, University of Pennsylvania.
  • Kadlecek S; Department of Radiology, University of Pennsylvania.
  • Rizi R; Department of Radiology, University of Pennsylvania.
J Vis Exp ; (201)2023 Nov 10.
Article em En | MEDLINE | ID: mdl-38009715
ABSTRACT
Hyperpolarized Xenon-129 (HXe) magnetic resonance imaging (MRI) provides tools for obtaining 2- or 3-dimensional maps of lung ventilation patterns, gas diffusion, Xenon uptake by lung parenchyma, and other lung function metrics. However, by trading spatial for temporal resolution, it also enables tracing of pulmonary Xenon gas exchange on a ms timescale. This article describes one such technique, chemical shift saturation recovery (CSSR) MR spectroscopy. It illustrates how it can be used to assess capillary blood volume, septal wall thickness, and the surface-to-volume ratio in the alveoli. The flip angle of the applied radiofrequency pulses (RF) was carefully calibrated. Single-dose breath-hold and multi-dose free-breathing protocols were employed for administering the gas to the subject. Once the inhaled Xenon gas reached the alveoli, a series of 90° RF pulses was applied to ensure maximum saturation of the accumulated Xenon magnetization in the lung parenchyma. Following a variable delay time, spectra were acquired to quantify the regrowth of the Xenon signal due to gas exchange between the alveolar gas volume and the tissue compartments of the lung. These spectra were then analyzed by fitting complex pseudo-Voigt functions to the three dominant peaks. Finally, the delay time-dependent peak amplitudes were fitted to a one-dimensional analytical gas-exchange model to extract physiological parameters.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Xenônio / Isótopos de Xenônio Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Xenônio / Isótopos de Xenônio Idioma: En Ano de publicação: 2023 Tipo de documento: Article