Publications by authors named "Peter J Niedbalski"

Modern pulmonary imaging can reveal underlying pathological and pathophysiological changes in the lungs of people with asthma, with important clinical implications. A multitude of imaging modalities are now used to examine underlying structure/function relationships including computed tomography, magnetic resonance imaging, optical coherence tomography, and endobronchial ultrasound. Imaging-based biomarkers from these techniques, including airway dimensions, blood vessel volumes, mucus scores, ventilation defect extent and air trapping extent, often have increased sensitivity compared to traditional lung function measurements, and are increasingly used as endpoints in clinical trials.

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Article Synopsis
  • Hyperpolarized xenon-129 (Xe) is a specialized MRI contrast agent that helps measure various aspects of lung function, making it useful for diagnosing and tracking lung diseases in humans.
  • It is approved for clinical use in places like the U.S. and U.K. and offers noninvasive ways to study lung health in preclinical research settings, particularly with mice, which are commonly used in genetic studies.
  • The text outlines practical procedures and checklists for effectively using Xe MRI in animal studies, focusing on ensuring accurate data collection related to lung disease monitoring.
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High quality MRI of the lungs is challenged by low tissue density, fast MRI signal relaxation, and respiratory and cardiac motion. For these reasons, structural imaging of the lungs is performed almost exclusively using Computed Tomography (CT). However, CT imaging delivers ionizing radiation, and thus is less well suited for certain vulnerable populations (e.

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Article Synopsis
  • Lung diseases are complex and progress over time, so collecting detailed imaging data is essential to understand their development.
  • Traditional MRI techniques for lung imaging face challenges like low tissue density and motion, but ultrashort-echo-time (UTE) sequences can help overcome these issues.
  • However, using radial UTE sequences often leads to undersampling, which can reduce image quality and SNR; simulations show that while moderate undersampling affects T* values, slight reductions in SNR are seen even with low sampling rates.
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Purpose: Hyperpolarized Xe MRI benefits from non-Cartesian acquisitions that sample k-space efficiently and rapidly. However, their reconstructions are complex and burdened by decay processes unique to hyperpolarized gas. Currently used gridded reconstructions are prone to artifacts caused by magnetization decay and are ill-suited for undersampling.

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Background: Long COVID impacts ∼10% of people diagnosed with COVID-19, yet the pathophysiology driving ongoing symptoms is poorly understood. We hypothesised that Xe magnetic resonance imaging (MRI) could identify unique pulmonary phenotypic subgroups of long COVID, therefore we evaluated ventilation and gas exchange measurements with cluster analysis to generate imaging-based phenotypes.

Methods: COVID-negative controls and participants who previously tested positive for COVID-19 underwent XeMRI ∼14-months post-acute infection across three centres.

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Article Synopsis
  • The study investigates the interaction between xenon (Xe) atoms and red blood cells in lungs to improve imaging of cardiogenic signal oscillations, important for assessing pulmonary hypertension.
  • It uses digital simulations to optimize an imaging technique called keyhole reconstruction, which was tested on a healthy group and patients with chronic thromboembolic pulmonary hypertension (CTEPH) before and after surgery.
  • Results showed that CTEPH patients had significantly higher oscillation defects compared to healthy individuals, and these defects decreased after pulmonary thromboendarterectomy, indicating the method's potential for better assessing microvascular flow changes.
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Hyperpolarized Xe MRI (Xe-MRI) is increasingly used to image the structure and function of the lungs. Because Xe imaging can provide multiple contrasts (ventilation, alveolar airspace size, and gas exchange), imaging often occurs over several breath-holds, which increases the time, expense, and patient burden of scans. We propose an imaging sequence that can be used to acquire Xe-MRI gas exchange and high-quality ventilation images within a single, approximately 10 s, breath-hold.

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Background: Xe gas-transfer MRI provides regional measures of pulmonary gas exchange in adults and separates xenon in interstitial lung tissue/plasma (barrier) from xenon in red blood cells (RBCs). The technique has yet to be demonstrated in pediatric populations or conditions.

Purpose/hypothesis: To perform an exploratory analysis of Xe gas-transfer MRI in children.

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Asthma is a heterogeneous disease characterized by chronic airway inflammation that affects more than 300 million people worldwide. Clinically, asthma has a widely variable presentation and is defined based on a history of respiratory symptoms alongside airflow limitation. Imaging is not needed to confirm a diagnosis of asthma, and thus the use of imaging in asthma has historically been limited to excluding alternative diagnoses.

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Rationale: Hyperpolarized (HP) Xe-MRI provides non-invasive methods to quantify lung function and structure, with the Xe apparent diffusion coefficient (ADC) being a well validated measure of alveolar airspace size. However, the experimental factors that impact the precision and accuracy of HP Xe ADC measurements have not been rigorously investigated. Here, we introduce an analytical model to predict the experimental uncertainty of Xe ADC estimates.

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Purpose: To reduce scan duration in hyperpolarized Xe 1-point Dixon gas exchange imaging by utilizing flip angle (FA)/TR equivalence.

Methods: Images were acquired in 12 subjects (n = 3 radiation therapy, n = 1 unexplained dyspnea, n = 8 healthy) using both standard (TR = 15 ms, FA = 20°, duration = 15 s, 998 projections) and "fast" (TR = 5.4 ms, FA = 12°, duration = 11.

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Hyperpolarized (HP) Xe MRI uniquely images pulmonary ventilation, gas exchange, and terminal airway morphology rapidly and safely, providing novel information not possible using conventional imaging modalities or pulmonary function tests. As such, there is mounting interest in expanding the use of biomarkers derived from HP Xe MRI as outcome measures in multi-site clinical trials across a range of pulmonary disorders. Until recently, HP Xe MRI techniques have been developed largely independently at a limited number of academic centers, without harmonizing acquisition strategies.

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Structural remodeling in lung disease is progressive and heterogeneous, making temporally and spatially explicit information necessary to understand disease initiation and progression. While mouse models are essential to elucidate mechanistic pathways underlying disease, the experimental tools commonly available to quantify lung disease burden are typically invasive (, histology). This necessitates large cross-sectional studies with terminal endpoints, which increases experimental complexity and expense.

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Hyperpolarized (HP) Xe MRI is increasingly used to noninvasively probe regional lung structure and function in the preclinical setting. As in human imaging, the primary barrier to quantitative imaging with HP gases is nonequilibrium magnetization, which is depleted by T relaxation and radio frequency excitation. Preclinical HP gas imaging commonly involves mechanically ventilating small animals and encoding k-space over tens or hundreds of breaths, with small subsets of k-space data collected within each breath.

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Purpose: Diffusion and lung morphometry imaging using hyperpolarized gases are promising tools to quantify pulmonary microstructure noninvasively in humans and in animal models. These techniques assume the motion encoded is exclusively diffusive gas displacement, but the impact of cardiac motion on measurements has never been explored. Furthermore, although diffusion morphometry has been validated against histology in humans and mice using He, it has never been validated in mice for Xe.

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Magnetic resonance (MR) imaging and spectroscopy using dissolved hyperpolarized (HP) Xe have expanded the ability to probe lung function regionally and noninvasively. In particular, HP Xe imaging has been used to quantify impaired gas uptake by the pulmonary tissues. Whole-lung spectroscopy has also been used to assess global cardiogenic oscillations in the MR signal intensity originating from Xe dissolved in the red blood cells of pulmonary capillaries.

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Fast apparent transverse relaxation (short T *) is a common obstacle when attempting to perform quantitative H MRI of the lungs. While T * times are longer for pulmonary hyperpolarized (HP) gas functional imaging (in particular for gaseous Xe), T * can still lead to quantitative inaccuracies for sequences requiring longer echo times (such as diffusion weighted images) or longer readout duration (such as spiral sequences). This is especially true in preclinical studies, where high magnetic fields lead to shorter relaxation times than are typically seen in human studies.

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Purpose: Hyperpolarized Xe MRI characterizes regional lung ventilation in a variety of disease populations, with high sensitivity to airway obstruction in early disease. However, ventilation images are usually limited to a single breath-hold and most-often acquired using gradient-recalled echo sequences with thick slices (~10-15 mm), which increases partial-volume effects, limits ability to observe small defects, and suffers from imperfect slice selection. We demonstrate higher-resolution ventilation images, in shorter breath-holds, using FLORET (Fermat Looped ORthogonally Encoded Trajectories), a center-out 3D-spiral UTE sequence.

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Purpose: Hyperpolarized (HP) media enable biomedical imaging applications that cannot be achieved with conventional MRI contrast agents. Unfortunately, quantifying HP images is challenging, because relaxation and radio-frequency pulsing generate spatially varying signal decay during acquisition. We demonstrate that, by combining center-out k-space sampling with postacquisition keyhole reconstruction, voxel-by-voxel maps of regional HP magnetization decay can be generated with no additional data collection.

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