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Competing Interests: Financial/Nonfinancial Disclosures None declared.

Background: We previously showed in patients with poorly controlled eosinophilic asthma that a single dose of benralizumab resulted in significantly improved Asthma Control Questionnaire (ACQ-6) score and 129 Xe MRI ventilation defect percent (VDP) 28 days postinjection, and 129 Xe MRI VDP and CT airway mucus occlusions were shown to independently predict this early ACQ-6 response to benralizumab., Research Question: Do early VDP responses at 28 days persist, and do FEV 1 , fractional exhaled nitric oxide, and mucus plug score improve during a 2.5 year treatment period?, Study Design and Methods: Participants with poorly controlled eosinophilic asthma completed spirometry, ACQ-6, and MRI, 28 days, 1 year, and 2.5 years after initiation of treatment with benralizumab; chest CT was acquired at enrollment and 2.5 years later., Results: Of 29 participants evaluated at 28 days post-benralizumab, 16 participants returned for follow-up while on therapy at 1 year, and 13 participants were evaluable while on therapy at 2.5 years post-benralizumab initiation. As compared with 28 days post-benralizumab, ACQ-6 score (2.0 ± 1.4) significantly improved after 1 year (0.5 ± 0.6, P = .02; 95% CI, 0.1-1.1) and 2.5 years (0.5 ± 0.5, P = .03; 95% CI, 0.1-1.1). The mean VDP change at 2.5 years (-4% ± 3%) was greater than the minimal clinically important difference, but not significantly different from VDP measured 28 days post-benralizumab. Mucus score (3 ± 4) was significantly improved at 2.5 years (1 ± 1, P = .03; 95% CI, 0.3-5.5). In six of eight participants with previous occlusions, mucus plugs vanished or substantially diminished 2.5 years later. VDP (P < .001) and mucus score (P < .001) measured at baseline, but not fractional exhaled nitric oxide or FEV 1 , independently predicted ACQ-6 score after 2.5 years., Interpretation: In poorly controlled eosinophilic asthma, early MRI VDP responses at 28 days post-benralizumab persisted 2.5 years later, alongside significantly improved mucus scores and asthma control., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: Patients with eosinophilic asthma often report poor symptomatic control and quality of life. Anti-IL-5 therapy, including anti-IL-5Rα (benralizumab), rapidly depletes eosinophils in the blood and airways and also reduces asthma exacerbations and improves quality of life scores. In patients with severe asthma, eosinophilic inflammation-driven airway mucus occlusions have been measured using thoracic x-ray CT imaging. Pulmonary 129 Xe MRI ventilation defect percentage (VDP) also sensitively measures asthma airway dysfunction caused by airway hyperresponsiveness, remodeling, and luminal mucus occlusions. Using 129 Xe MRI and CT imaging together, it is feasible to measure both airway luminal occlusions and airway ventilation in relationship to anti-IL-5 therapy to ascertain the direct impact of therapy-induced eosinophil depletion on airway function., Research Question: Does 129 Xe MRI detect airway functional responses to eosinophil depletion after a single benralizumab dose and do airway mucus occlusions mediate this response?, Study Design and Methods: MRI, eosinophil count, spirometry, oscillometry, Asthma Control Questionnaire (ACQ), Asthma Quality of Life Questionnaire (AQLQ), and St. George's Respiratory Questionnaire were completed on day 0 and 28 days after a single 30-mg subcutaneous benralizumab dose. CT scan mucus plugs were scored on day 0, and MRI VDP was quantified on days 0 and 28., Results: Twenty-nine participants (27 with baseline CT imaging) completed day 0 and day 28 visits. On day 28 after a single benralizumab dose, significantly improved blood eosinophil counts, VDP, ACQ 6 scores, AQLQ scores (all P < .001), and peripheral airway resistance (P = .04) were found in all participants. On day 28, significantly improved VDP and ACQ 6 scores also were found in the subgroup of nine participants with five or more mucus plugs, but not in the subgroup (n = 18) with fewer than five mucus plugs. Based on univariate relationships for change in ACQ 6 score, multivariate models were generated and showed that day 0 VDP (P < .001) and day 0 CT scan mucus score (P < .001) were significant variables for change in ACQ 6 score on day 28 after benralizumab injection., Interpretation: 129 Xe ventilation significantly improved in participants with uncontrolled asthma and in those with significant mucus plugging after a single dose of benralizumab., Trial Registry: ClinicalTrials.gov; No.: NCT03733535; URL: www., Clinicaltrials: gov., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)

Ultra-short echo-time (UTE) magnetic resonance imaging (MRI) provides enhanced visualization of pulmonary structural and functional abnormalities and has shown promise in phenotyping lung disease. Here, we describe the development and evaluation of a lung segmentation approach to facilitate UTE MRI methods for patient-based imaging. The proposed approach employs a k-means algorithm in kernel space for pair-wise feature clustering and imposes image domain continuous regularization, coined as continuous kernel k-means (CKKM). The high-order CKKM algorithm was simplified through upper bound relaxation and solved within an iterative continuous max-flow framework. We combined the CKKM with U-net and atlas-based approaches and comprehensively evaluated the performance on 100 images from 25 patients with asthma and bronchial pulmonary dysplasia enrolled at Robarts Research Institute (Western University, London, Canada) and Centre Hospitalier Universitaire (Sainte-Justine, Montreal, Canada). For U-net, we trained the network five times on a mixture of five different images with under-annotations and applied the model to 64 images from the two centres. We also trained a U-net on five images with full and brush annotations from one centre, and tested the model on 32 images from the other centre. For an atlas-based approach, we employed three atlas images to segment 64 target images from the two centres through straightforward atlas registration and label fusion. We applied the CKKM algorithm to the baseline U-net and atlas outputs and refined the initial segmentation through multi-volume image fusion. The integration of CKKM substantially improved baseline results and yielded, with minimal computational cost, segmentation accuracy, and precision that were greater than some state-of-the-art deep learning models and similar to experienced observer manual segmentation. This suggests that deep learning and atlas-based approaches may be utilized to segment UTE MRI datasets using relatively small training datasets with under-annotations., Competing Interests: Declaration of Competing Interest No conflicts of interest, financial or otherwise, are declared by F Guo, D Capaldi, DG McCormack, A Fenster, and G Parraga., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: The functional consequence of airway obstruction in asthma can be regionally measured using inhaled gas MRI. Ventilation defects visualized by MRI persist post-bronchodilator in patients with severe asthma with uncontrolled sputum eosinophilia and may be due to eosinophil-driven airway pathology that is responsive to "anti-T2" therapy., Research Question: Do anti-T2 therapies that clear eosinophils from the airway lumen decrease ventilation defects, measured by inhaled gas MRI, in adults with prednisone-dependent asthma?, Study Design and Methods: Inhaled hyperpolarized gas MRI was performed before and after bronchodilation in 10 prednisone-dependent patients with asthma with uncontrolled eosinophilic bronchitis (sputum eosinophils ≥3%) at baseline and 558 (100-995) days later when their eosinophilic bronchitis had been controlled (sputum eosinophils <3%) by additional anti-T2 therapy. The effect of anti-T2 therapy on ventilation defects, quantified as the MRI ventilation-defect-percent (VDP), was evaluated before and after bronchodilation for all patients and compared between patients dichotomized based on the median percentage of sputum eosinophils at baseline (15.8%)., Results: MRI VDP was improved pre- (ΔVDP +anti-T2 : -3% ± 4%, P = .02) and post-bronchodilator (ΔVDP +anti-T2 : -3% ± 4%; P = .04) after additional anti-T2 therapy that controlled eosinophilic bronchitis (n = 2 mepolizumab, n = 2 reslizumab, n = 3 benralizumab, n = 1 dupilumab, n = 2 increased daily prednisone). A greater post-bronchodilator ΔVDP +anti-T2 was observed in those patients with median or higher percentage of sputum eosinophils at baseline (≥15.8%; P = .01). In 7 of 10 patients with asthma, residual ventilation defects persisted despite bronchodilator and anti-T2 therapy., Interpretation: Controlling sputum eosinophilia with anti-T2 therapies improves ventilation defects, measured by inhaled gas MRI, in adults with prednisone-dependent asthma., (Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Although nearly 3,000 e-cigarette-related hospitalizations have been reported in North America, the long-term outcomes in these patients have not been described. We followed an 18-year-old boy who survived acute critical illness and respiratory failure related to 5 months of e-cigarette use. Chronic irreversible airflow obstruction and markedly abnormal 129 Xe MRI ventilation heterogeneity was observed and persisted 8 months after hospital discharge, despite improvement in quality-of-life and chest CT findings. Lung clearance index and oscillometry measures were also highly abnormal at 8 months postdischarge. Although 129 Xe MRI ventilation abnormalities were dominant in the lung apices and central lung regions, the pattern of ventilation defects was dissimilar to ventilation heterogeneity observed in patients with obstructive lung disease, such as asthma and COPD. Our findings underscore the long-term functional impacts of e-cigarette-related lung injury in survivors of critical illness; longitudinal evaluations may shed light on the pathophysiologic mechanisms that drive e-cigarette-related lung disease., (Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Recent pulmonary functional MRI findings of spatially and temporally persistent ventilation abnormalities in patients with asthma contrast with previous in silico modeling studies that suggest that in asthma, ventilation defects may be randomly distributed. In a case study that used pulmonary MRI, CT imaging, and pulmonary function tests, we prospectively evaluated over the course of 7 years, nonidentical female adult twins, each with a lifelong history of asthma. We evaluated pulmonary function and MRI ventilation heterogeneity at baseline and follow-up after 7 years. In both twins, there was a spatially identical MRI ventilation defect and an abnormal subsegmental left-sided upper lobe airway that persisted in the same spatial location after 7 years. If ventilation defects are randomly distributed, this bears a probability of approximately one per 130,000 people. Our MRI observations in related patients with asthma suggest that ventilation abnormalities may not be randomly distributed in patients with asthma and persist distal to airway abnormalities for long periods of time., (Copyright © 2019 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Background: Intraluminal contributor(s) to airflow obstruction in severe asthma are patient-specific and must be evaluated to personalize treatment. The occurrence and functional consequence of airway mucus in the presence or absence of airway eosinophils remain undetermined., Objective: The objective of this study was to understand the functional consequence of airway mucus in the presence or absence of eosinophils and to identify biomarkers of mucus-related airflow obstruction., Methods: Mucus plugs were quantified on CT scans, and their contribution to ventilation heterogeneity (using MRI ventilation defect percent [VDP]) was evaluated in 27 patients with severe asthma. Patients were dichotomized based on sputum eosinophilia such that the relationship between mucus, eosinophilia, and ventilation heterogeneity could be investigated. Fractional exhaled nitric oxide (Feno) and related cytokines in sputum were measured., Results: Mucus plugging was present in 100% of asthma patients with sputum eosinophils and 36% of those without sputum eosinophils (P = .0006) and was correlated with MRI VDP prebronchodilator (r = 0.68; P = .0001) and postbronchodilator (r = 0.72; P < .0001). In a multivariable regression, both mucus and eosinophils contributed to the prediction of postbronchodilator MRI VDP (R 2  = 0.75; P < .0001). Patients with asthma in whom the mucus score was high had raised Feno (P = .03) and IL-4 (P = .02) values. Mucus plugging correlated with Feno (r = 0.63; P = .005)., Conclusions: Both airway eosinophils and mucus can contribute to ventilation heterogeneity in patients with severe asthma. Patients in whom mucus is the dominant cause of airway obstruction have evidence of an upregulated IL-4/IL-13 pathway that could be identified according to increased Feno level., (Copyright © 2019 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Pulmonary imaging using hyperpolarized (3)He/(129)Xe gas is emerging as a new way to understand the regional nature of pulmonary ventilation abnormalities in obstructive lung diseases. However, the quantitative information derived is completely dependent on robust methods to segment both functional and structural/anatomical data. Here, we propose an approach to jointly segment the lung cavity from (1)H and (3)He pulmonary magnetic resonance images (MRI) by constraining the spatial consistency of the two segmentation regions, which simultaneously employs the image features from both modalities. We formulated the proposed co-segmentation problem as a coupled continuous min-cut model and showed that this combinatorial optimization problem can be solved globally and exactly by means of convex relaxation. In particular, we introduced a dual coupled continuous max-flow model to study the convex relaxed coupled continuous min-cut model under a primal and dual perspective. This gave rise to an efficient duality-based convex optimization algorithm. We implemented the proposed algorithm in parallel using general-purpose programming on graphics processing unit (GPGPU), which substantially increased its computational efficiency. Our experiments explored a clinical dataset of 25 subjects with chronic obstructive pulmonary disease (COPD) across a wide range of disease severity. The results showed that the proposed co-segmentation approach yielded superior performance compared to single-channel image segmentation in terms of precision, accuracy and robustness., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Quantitative measurements of the progression (or regression) of carotid plaque burden are important in monitoring patients and evaluating new treatment options. 3D ultrasound (US) has been used to monitor the progression of carotid artery plaques in symptomatic and asymptomatic patients, and different methods of measuring various ultrasound phenotypes of atherosclerosis have been developed. We have developed a quantitative metric used to analyze changes in carotid plaque morphology from 3D US. This method matched the vertices on the carotid arterial wall surface with those on the luminal surface. Vessel-wall-plus-plaque thickness (VWT) was obtained by computing the distance between each corresponding pair, which was then superimposed on the arterial wall to produce the VWT map. Since the progression of plaque thickness is important in monitoring patients who are at risk for stroke, we also computed the change of VWT by comparing the VWT maps obtained for a patient at two different time points. In this paper, we propose a technique to flatten the 3D VWT and VWT-Change maps in an area-preserving manner, in order to facilitate the visualization and interpretation of these maps.