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Size distribution of air bubbles entering the brain during cardiac surgery
Thousands of air bubbles enter the cerebral circulation during cardiac surgery, but whether high numbers of bubbles explain post-operative cognitive decline is currently controversial. This study estimates the size distribution of air bubbles and volume of air entering the cerebral arteries intra-op...
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Published in: | PloS one 2015-04, Vol.10 (4), p.e0122166-e0122166 |
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description | Thousands of air bubbles enter the cerebral circulation during cardiac surgery, but whether high numbers of bubbles explain post-operative cognitive decline is currently controversial. This study estimates the size distribution of air bubbles and volume of air entering the cerebral arteries intra-operatively based on analysis of transcranial Doppler ultrasound data.
Transcranial Doppler ultrasound recordings from ten patients undergoing heart surgery were analysed for the presence of embolic signals. The backscattered intensity of each embolic signal was modelled based on ultrasound scattering theory to provide an estimate of bubble diameter. The impact of showers of bubbles on cerebral blood-flow was then investigated using patient-specific Monte-Carlo simulations to model the accumulation and clearance of bubbles within a model vasculature.
Analysis of Doppler ultrasound recordings revealed a minimum of 371 and maximum of 6476 bubbles entering the middle cerebral artery territories during surgery. This was estimated to correspond to a total volume of air ranging between 0.003 and 0.12 mL. Based on analysis of a total of 18667 embolic signals, the median diameter of bubbles entering the cerebral arteries was 33 μm (IQR: 18 to 69 μm). Although bubble diameters ranged from ~5 μm to 3.5 mm, the majority (85%) were less than 100 μm. Numerous small bubbles detected during cardiopulmonary bypass were estimated by Monte-Carlo simulation to be benign. However, during weaning from bypass, showers containing large macro-bubbles were observed, which were estimated to transiently affect up to 2.2% of arterioles.
Detailed analysis of Doppler ultrasound data can be used to provide an estimate of bubble diameter, total volume of air, and the likely impact of embolic showers on cerebral blood flow. Although bubbles are alarmingly numerous during surgery, our simulations suggest that the majority of bubbles are too small to be harmful. |
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Transcranial Doppler ultrasound recordings from ten patients undergoing heart surgery were analysed for the presence of embolic signals. The backscattered intensity of each embolic signal was modelled based on ultrasound scattering theory to provide an estimate of bubble diameter. The impact of showers of bubbles on cerebral blood-flow was then investigated using patient-specific Monte-Carlo simulations to model the accumulation and clearance of bubbles within a model vasculature.
Analysis of Doppler ultrasound recordings revealed a minimum of 371 and maximum of 6476 bubbles entering the middle cerebral artery territories during surgery. This was estimated to correspond to a total volume of air ranging between 0.003 and 0.12 mL. Based on analysis of a total of 18667 embolic signals, the median diameter of bubbles entering the cerebral arteries was 33 μm (IQR: 18 to 69 μm). Although bubble diameters ranged from ~5 μm to 3.5 mm, the majority (85%) were less than 100 μm. Numerous small bubbles detected during cardiopulmonary bypass were estimated by Monte-Carlo simulation to be benign. However, during weaning from bypass, showers containing large macro-bubbles were observed, which were estimated to transiently affect up to 2.2% of arterioles.
Detailed analysis of Doppler ultrasound data can be used to provide an estimate of bubble diameter, total volume of air, and the likely impact of embolic showers on cerebral blood flow. Although bubbles are alarmingly numerous during surgery, our simulations suggest that the majority of bubbles are too small to be harmful.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0122166</identifier><identifier>PMID: 25837519</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Air bubbles ; Arteries ; Arterioles ; Backscattering ; Biomedical research ; Blood ; Blood flow ; Brain ; Brain - blood supply ; Brain research ; Bubbles ; Cardiac Surgical Procedures - adverse effects ; Care and treatment ; Cerebral Arteries - diagnostic imaging ; Cerebral blood flow ; Cerebrovascular Circulation ; Cognitive ability ; Computer simulation ; Coronary artery bypass ; Coronary vessels ; Doppler effect ; Embolism, Air - diagnosis ; Embolism, Air - diagnostic imaging ; Embolism, Air - etiology ; Experiments ; Female ; Health aspects ; Heart ; Heart surgery ; Humans ; Inflammation ; Male ; Middle Aged ; Monte Carlo Method ; Monte Carlo simulation ; Particle Size ; Patient outcomes ; Risk factors ; Showers ; Size distribution ; Stroke ; Studies ; Surgery ; Ultrasonic imaging ; Ultrasonic testing ; Ultrasonography, Doppler, Transcranial ; Ultrasound ; Veins & arteries ; Weaning</subject><ispartof>PloS one, 2015-04, Vol.10 (4), p.e0122166-e0122166</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Chung et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Chung et al 2015 Chung et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-10c607ffb7570caeca076327b50cb0756f93298da9c50067e94abfb49c4b54373</citedby><cites>FETCH-LOGICAL-c758t-10c607ffb7570caeca076327b50cb0756f93298da9c50067e94abfb49c4b54373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1669454316/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1669454316?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25837519$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Aliseda, Alberto</contributor><creatorcontrib>Chung, Emma M L</creatorcontrib><creatorcontrib>Banahan, Caroline</creatorcontrib><creatorcontrib>Patel, Nikil</creatorcontrib><creatorcontrib>Janus, Justyna</creatorcontrib><creatorcontrib>Marshall, David</creatorcontrib><creatorcontrib>Horsfield, Mark A</creatorcontrib><creatorcontrib>Rousseau, Clément</creatorcontrib><creatorcontrib>Keelan, Jonathan</creatorcontrib><creatorcontrib>Evans, David H</creatorcontrib><creatorcontrib>Hague, James P</creatorcontrib><title>Size distribution of air bubbles entering the brain during cardiac surgery</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Thousands of air bubbles enter the cerebral circulation during cardiac surgery, but whether high numbers of bubbles explain post-operative cognitive decline is currently controversial. This study estimates the size distribution of air bubbles and volume of air entering the cerebral arteries intra-operatively based on analysis of transcranial Doppler ultrasound data.
Transcranial Doppler ultrasound recordings from ten patients undergoing heart surgery were analysed for the presence of embolic signals. The backscattered intensity of each embolic signal was modelled based on ultrasound scattering theory to provide an estimate of bubble diameter. The impact of showers of bubbles on cerebral blood-flow was then investigated using patient-specific Monte-Carlo simulations to model the accumulation and clearance of bubbles within a model vasculature.
Analysis of Doppler ultrasound recordings revealed a minimum of 371 and maximum of 6476 bubbles entering the middle cerebral artery territories during surgery. This was estimated to correspond to a total volume of air ranging between 0.003 and 0.12 mL. Based on analysis of a total of 18667 embolic signals, the median diameter of bubbles entering the cerebral arteries was 33 μm (IQR: 18 to 69 μm). Although bubble diameters ranged from ~5 μm to 3.5 mm, the majority (85%) were less than 100 μm. Numerous small bubbles detected during cardiopulmonary bypass were estimated by Monte-Carlo simulation to be benign. However, during weaning from bypass, showers containing large macro-bubbles were observed, which were estimated to transiently affect up to 2.2% of arterioles.
Detailed analysis of Doppler ultrasound data can be used to provide an estimate of bubble diameter, total volume of air, and the likely impact of embolic showers on cerebral blood flow. Although bubbles are alarmingly numerous during surgery, our simulations suggest that the majority of bubbles are too small to be harmful.</description><subject>Aged</subject><subject>Air bubbles</subject><subject>Arteries</subject><subject>Arterioles</subject><subject>Backscattering</subject><subject>Biomedical research</subject><subject>Blood</subject><subject>Blood flow</subject><subject>Brain</subject><subject>Brain - blood supply</subject><subject>Brain research</subject><subject>Bubbles</subject><subject>Cardiac Surgical Procedures - adverse effects</subject><subject>Care and treatment</subject><subject>Cerebral Arteries - diagnostic imaging</subject><subject>Cerebral blood flow</subject><subject>Cerebrovascular Circulation</subject><subject>Cognitive ability</subject><subject>Computer simulation</subject><subject>Coronary artery bypass</subject><subject>Coronary vessels</subject><subject>Doppler effect</subject><subject>Embolism, Air - diagnosis</subject><subject>Embolism, Air - diagnostic imaging</subject><subject>Embolism, Air - etiology</subject><subject>Experiments</subject><subject>Female</subject><subject>Health aspects</subject><subject>Heart</subject><subject>Heart surgery</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo simulation</subject><subject>Particle Size</subject><subject>Patient outcomes</subject><subject>Risk factors</subject><subject>Showers</subject><subject>Size distribution</subject><subject>Stroke</subject><subject>Studies</subject><subject>Surgery</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic testing</subject><subject>Ultrasonography, Doppler, Transcranial</subject><subject>Ultrasound</subject><subject>Veins & arteries</subject><subject>Weaning</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1v0zAUhiMEYlvhHyCIhITgosWOv5IbpGnio2jSJAbcWrZzkrpy42IniO3X47bZ1KBdoFwkOn7O63PevFn2AqMFJgK_X_shdMottr6DBcJFgTl_lJ3iihRzXiDy-Oj7JDuLcY0QIyXnT7OTgpVEMFydZl-v7S3ktY19sHrore9y3-TKhlwPWjuIOXQ9BNu1eb-CXAdlu7we9gWjQm2VyeMQWgg3z7InjXIRno_vWfbj08fvF1_ml1eflxfnl3MjWNnPMTIciabRgglkFBiFBCeF0AwZjQTjTZq6KmtVGYYQF1BRpRtNK0M1o0SQWfbqoLt1PsrRhijT-hVNAOaJWB6I2qu13Aa7UeFGemXlvuBDK1XorXEgkSEVK0ilDBG0JlACgGK0TO5QKvZaH8bbBr2B2iQ7gnIT0elJZ1ey9b8lJSVhaZ5Z9nYUCP7XALGXGxsNOKc68MNubkF5hTDbbfb6H_Th7UaqVWkB2zU-3Wt2ovKcFhyXOKklavEAlZ4aNtakzDQ21ScN7yYNienhT9-qIUa5vP72_-zVzyn75ohdgXL9Knq3z1qcgvQAmuBjDNDcm4yR3EX-zg25i7wcI5_aXh7_oPumu4yTv5vY-hI</recordid><startdate>20150402</startdate><enddate>20150402</enddate><creator>Chung, Emma M L</creator><creator>Banahan, Caroline</creator><creator>Patel, Nikil</creator><creator>Janus, Justyna</creator><creator>Marshall, David</creator><creator>Horsfield, Mark A</creator><creator>Rousseau, Clément</creator><creator>Keelan, Jonathan</creator><creator>Evans, David H</creator><creator>Hague, James P</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150402</creationdate><title>Size distribution of air bubbles entering the brain during cardiac surgery</title><author>Chung, Emma M L ; Banahan, Caroline ; Patel, Nikil ; Janus, Justyna ; Marshall, David ; Horsfield, Mark A ; Rousseau, Clément ; Keelan, Jonathan ; Evans, David H ; Hague, James P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-10c607ffb7570caeca076327b50cb0756f93298da9c50067e94abfb49c4b54373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Air bubbles</topic><topic>Arteries</topic><topic>Arterioles</topic><topic>Backscattering</topic><topic>Biomedical research</topic><topic>Blood</topic><topic>Blood flow</topic><topic>Brain</topic><topic>Brain - blood supply</topic><topic>Brain research</topic><topic>Bubbles</topic><topic>Cardiac Surgical Procedures - adverse effects</topic><topic>Care and treatment</topic><topic>Cerebral Arteries - diagnostic imaging</topic><topic>Cerebral blood flow</topic><topic>Cerebrovascular Circulation</topic><topic>Cognitive ability</topic><topic>Computer simulation</topic><topic>Coronary artery bypass</topic><topic>Coronary vessels</topic><topic>Doppler effect</topic><topic>Embolism, Air - diagnosis</topic><topic>Embolism, Air - diagnostic imaging</topic><topic>Embolism, Air - etiology</topic><topic>Experiments</topic><topic>Female</topic><topic>Health aspects</topic><topic>Heart</topic><topic>Heart surgery</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Monte Carlo Method</topic><topic>Monte Carlo simulation</topic><topic>Particle Size</topic><topic>Patient outcomes</topic><topic>Risk factors</topic><topic>Showers</topic><topic>Size distribution</topic><topic>Stroke</topic><topic>Studies</topic><topic>Surgery</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic testing</topic><topic>Ultrasonography, Doppler, Transcranial</topic><topic>Ultrasound</topic><topic>Veins & arteries</topic><topic>Weaning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chung, Emma M L</creatorcontrib><creatorcontrib>Banahan, Caroline</creatorcontrib><creatorcontrib>Patel, Nikil</creatorcontrib><creatorcontrib>Janus, Justyna</creatorcontrib><creatorcontrib>Marshall, David</creatorcontrib><creatorcontrib>Horsfield, Mark A</creatorcontrib><creatorcontrib>Rousseau, Clément</creatorcontrib><creatorcontrib>Keelan, Jonathan</creatorcontrib><creatorcontrib>Evans, David H</creatorcontrib><creatorcontrib>Hague, James P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints Resource Center</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chung, Emma M L</au><au>Banahan, Caroline</au><au>Patel, Nikil</au><au>Janus, Justyna</au><au>Marshall, David</au><au>Horsfield, Mark A</au><au>Rousseau, Clément</au><au>Keelan, Jonathan</au><au>Evans, David H</au><au>Hague, James P</au><au>Aliseda, Alberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Size distribution of air bubbles entering the brain during cardiac surgery</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-04-02</date><risdate>2015</risdate><volume>10</volume><issue>4</issue><spage>e0122166</spage><epage>e0122166</epage><pages>e0122166-e0122166</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Thousands of air bubbles enter the cerebral circulation during cardiac surgery, but whether high numbers of bubbles explain post-operative cognitive decline is currently controversial. This study estimates the size distribution of air bubbles and volume of air entering the cerebral arteries intra-operatively based on analysis of transcranial Doppler ultrasound data.
Transcranial Doppler ultrasound recordings from ten patients undergoing heart surgery were analysed for the presence of embolic signals. The backscattered intensity of each embolic signal was modelled based on ultrasound scattering theory to provide an estimate of bubble diameter. The impact of showers of bubbles on cerebral blood-flow was then investigated using patient-specific Monte-Carlo simulations to model the accumulation and clearance of bubbles within a model vasculature.
Analysis of Doppler ultrasound recordings revealed a minimum of 371 and maximum of 6476 bubbles entering the middle cerebral artery territories during surgery. This was estimated to correspond to a total volume of air ranging between 0.003 and 0.12 mL. Based on analysis of a total of 18667 embolic signals, the median diameter of bubbles entering the cerebral arteries was 33 μm (IQR: 18 to 69 μm). Although bubble diameters ranged from ~5 μm to 3.5 mm, the majority (85%) were less than 100 μm. Numerous small bubbles detected during cardiopulmonary bypass were estimated by Monte-Carlo simulation to be benign. However, during weaning from bypass, showers containing large macro-bubbles were observed, which were estimated to transiently affect up to 2.2% of arterioles.
Detailed analysis of Doppler ultrasound data can be used to provide an estimate of bubble diameter, total volume of air, and the likely impact of embolic showers on cerebral blood flow. Although bubbles are alarmingly numerous during surgery, our simulations suggest that the majority of bubbles are too small to be harmful.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25837519</pmid><doi>10.1371/journal.pone.0122166</doi><oa>free_for_read</oa></addata></record> |
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subjects | Aged Air bubbles Arteries Arterioles Backscattering Biomedical research Blood Blood flow Brain Brain - blood supply Brain research Bubbles Cardiac Surgical Procedures - adverse effects Care and treatment Cerebral Arteries - diagnostic imaging Cerebral blood flow Cerebrovascular Circulation Cognitive ability Computer simulation Coronary artery bypass Coronary vessels Doppler effect Embolism, Air - diagnosis Embolism, Air - diagnostic imaging Embolism, Air - etiology Experiments Female Health aspects Heart Heart surgery Humans Inflammation Male Middle Aged Monte Carlo Method Monte Carlo simulation Particle Size Patient outcomes Risk factors Showers Size distribution Stroke Studies Surgery Ultrasonic imaging Ultrasonic testing Ultrasonography, Doppler, Transcranial Ultrasound Veins & arteries Weaning |
title | Size distribution of air bubbles entering the brain during cardiac surgery |
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