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dc.contributor.authorXi, Jinxiang
dc.contributor.authorWalfield, Brendan
dc.contributor.authorSi, Xiuhua April
dc.contributor.authorBankier, Alexander A.
dc.date2022-08-11T08:08:11.000
dc.date.accessioned2022-08-23T15:45:23Z
dc.date.available2022-08-23T15:45:23Z
dc.date.issued2021-09-01
dc.date.submitted2021-10-13
dc.identifier.citation<p>Xi J, Walfield B, Si XA, Bankier AA. Lung physiological variations in COVID-19 patients and inhalation therapy development for remodeled lungs. SciMedicine Journal. 2021 Sep 1;3(3):198-208.</p>
dc.identifier.doi10.28991/SciMedJ-2021-0303-1
dc.identifier.urihttp://hdl.handle.net/20.500.14038/27517
dc.description.abstractIn response to the unmet need for effective treatments for symptomatic patients, research efforts of inhaled therapy for COVID-19 patients have been pursued since the pandemic began. However, inhalation drug delivery to the lungs is sensitive to the lung anatomy and physiology, which can be significantly altered due to the viral infection. The ensued ventilation heterogeneity will change distribution and thus dosimetry of inhaled medications, rendering previous correlations concepts? of pulmonary drug delivery in healthy lungs less reliable. In this study, we first reviewed the recent developments of inhaled therapeutics and vaccines, as well as the latest knowledge of the lung structural variations documented by CT of COVID-19 patients' lungs. We then quantified the volume ratios of the poorly aerated lungs and non-aerated lungs in eight COVID-19 patients, which ranged 2-8% and 0.5-3%, respectively. The need to consider the diseased lung physiologies in estimating pulmonary delivery was emphasized. Diseased lung geometries with varying lesion sites and complexities were reconstructed using Statistical Shape Modeling (SSM). A new segmentation method was applied that could generate patient-specific lung geometries with an increased number of branching generations. The synergy of the CT-based lung segmentation and SSM-based airway variation showed promise for developing representative COVID-infected lung morphological models and investigating inhalation therapeutics in COVID-19 patients.
dc.language.isoen_US
dc.rightsCopyright (c) 2021 Jinxiang Xi, Brendan Walfield, Xiuhua April Si, Alexander A Bankier. This is an open access article under the CC-BY license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCOVID-19
dc.subjectAirway Remodeling
dc.subjectInhalation Therapy
dc.subjectInhaled Vaccine
dc.subjectBronchial Constriction
dc.subjectStatistical Shape Modeling (SSM)
dc.subjectBiomedical Engineering and Bioengineering
dc.subjectCirculatory and Respiratory Physiology
dc.subjectInfectious Disease
dc.subjectRespiratory System
dc.subjectStatistics and Probability
dc.subjectTherapeutics
dc.subjectVirus Diseases
dc.titleLung Physiological Variations in COVID-19 Patients and Inhalation Therapy Development for Remodeled Lungs
dc.typeJournal Article
dc.source.journaltitleSciMedicine Journal
dc.source.volume3
dc.source.issue3
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1324&amp;context=covid19&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/covid19/318
dc.identifier.contextkey25397983
refterms.dateFOA2022-08-23T15:45:23Z
html.description.abstract<p>In response to the unmet need for effective treatments for symptomatic patients, research efforts of inhaled therapy for COVID-19 patients have been pursued since the pandemic began. However, inhalation drug delivery to the lungs is sensitive to the lung anatomy and physiology, which can be significantly altered due to the viral infection. The ensued ventilation heterogeneity will change distribution and thus dosimetry of inhaled medications, rendering previous correlations concepts? of pulmonary drug delivery in healthy lungs less reliable. In this study, we first reviewed the recent developments of inhaled therapeutics and vaccines, as well as the latest knowledge of the lung structural variations documented by CT of COVID-19 patients' lungs. We then quantified the volume ratios of the poorly aerated lungs and non-aerated lungs in eight COVID-19 patients, which ranged 2-8% and 0.5-3%, respectively. The need to consider the diseased lung physiologies in estimating pulmonary delivery was emphasized. Diseased lung geometries with varying lesion sites and complexities were reconstructed using Statistical Shape Modeling (SSM). A new segmentation method was applied that could generate patient-specific lung geometries with an increased number of branching generations. The synergy of the CT-based lung segmentation and SSM-based airway variation showed promise for developing representative COVID-infected lung morphological models and investigating inhalation therapeutics in COVID-19 patients.</p>
dc.identifier.submissionpathcovid19/318
dc.contributor.departmentDepartment of Radiology
dc.source.pages198-208


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Copyright (c) 2021 Jinxiang Xi, Brendan Walfield, Xiuhua April Si, Alexander A Bankier. This is an open access article under the CC-BY license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as Copyright (c) 2021 Jinxiang Xi, Brendan Walfield, Xiuhua April Si, Alexander A Bankier. This is an open access article under the CC-BY license (https://creativecommons.org/licenses/by/4.0/).