Ex vivo lung CT findings may predict the outcome of the early phase after lung transplantation
We developed an ex vivo lung CT (EVL-CT) technique that allows us to obtain detailed CT images and morphologically assess the retrieved lung from a donor for transplantation. After we recovered the lung graft from a brain-dead donor, we transported it to our hospital and CT images were obtained ex v...
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creator | Oishi, Hisashi Noda, Masafumi Sado, Tetsu Matsuda, Yasushi Niikawa, Hiromichi Watanabe, Tatsuaki Sakurada, Akira Hoshikawa, Yasushi Okada, Yoshinori |
description | We developed an ex vivo lung CT (EVL-CT) technique that allows us to obtain detailed CT images and morphologically assess the retrieved lung from a donor for transplantation. After we recovered the lung graft from a brain-dead donor, we transported it to our hospital and CT images were obtained ex vivo before lung transplant surgery. The objective of this study was to investigate the correlation between the EVL-CT findings and post-transplant outcome in patients who underwent bilateral lung transplantation (BLT) or single lung transplantation (SLT).
We retrospectively reviewed the records of 70 patients with available EVL-CT data who underwent BLT (34 cases) or SLT (36 cases) in our hospital between October 2007 and September 2017. The recipients were divided into 2 groups (control group, infiltration group) according to the findings of EVL-CT of the lung graft in BLT and SLT, respectively. Recipients in the control group were transplanted lung grafts without any infiltrates (BLT control group, SLT control group). Recipients in the infiltration group received lung grafts with infiltrates (BLT infiltration group, SLT infiltration group).
The recipients in the BLT infiltration group showed significantly slower recovery from primary graft dysfunction and a longer mechanical ventilation period and ICU stay period than those in the BLT control group. The mechanical ventilation period was significantly longer in the recipients in the SLT infiltration group than those in the SLT control group.
EVL-CT may predict the outcome of the early phase after lung transplantation. |
doi_str_mv | 10.1371/journal.pone.0233804 |
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We retrospectively reviewed the records of 70 patients with available EVL-CT data who underwent BLT (34 cases) or SLT (36 cases) in our hospital between October 2007 and September 2017. The recipients were divided into 2 groups (control group, infiltration group) according to the findings of EVL-CT of the lung graft in BLT and SLT, respectively. Recipients in the control group were transplanted lung grafts without any infiltrates (BLT control group, SLT control group). Recipients in the infiltration group received lung grafts with infiltrates (BLT infiltration group, SLT infiltration group).
The recipients in the BLT infiltration group showed significantly slower recovery from primary graft dysfunction and a longer mechanical ventilation period and ICU stay period than those in the BLT control group. The mechanical ventilation period was significantly longer in the recipients in the SLT infiltration group than those in the SLT control group.
EVL-CT may predict the outcome of the early phase after lung transplantation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0233804</identifier><identifier>PMID: 32469995</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aging ; Biology and Life Sciences ; Brain death ; Brain research ; Cancer ; CAT scans ; Computed tomography ; Consent ; Correlation analysis ; Demographics ; Grafting ; Hospitals ; Infiltration ; Lung diseases ; Lung transplantation ; Lungs ; Mechanical ventilation ; Medical examination ; Medical imaging ; Medicine and Health Sciences ; Methods ; Patient outcomes ; Patients ; Preoperative care ; Research and Analysis Methods ; Studies ; Surgery ; Thoracic surgery ; Tissue donors ; Transplantation ; Transplants & implants ; Ventilation</subject><ispartof>PloS one, 2020-05, Vol.15 (5), p.e0233804-e0233804</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Oishi 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>2020 Oishi et al 2020 Oishi et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-dc08cdd359f45cc4e0bc690cd40e238860302e6292f4d454fafacfc6d81ba7943</citedby><cites>FETCH-LOGICAL-c758t-dc08cdd359f45cc4e0bc690cd40e238860302e6292f4d454fafacfc6d81ba7943</cites><orcidid>0000-0002-1381-6362 ; 0000-0002-0457-789X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259648/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259648/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32469995$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oishi, Hisashi</creatorcontrib><creatorcontrib>Noda, Masafumi</creatorcontrib><creatorcontrib>Sado, Tetsu</creatorcontrib><creatorcontrib>Matsuda, Yasushi</creatorcontrib><creatorcontrib>Niikawa, Hiromichi</creatorcontrib><creatorcontrib>Watanabe, Tatsuaki</creatorcontrib><creatorcontrib>Sakurada, Akira</creatorcontrib><creatorcontrib>Hoshikawa, Yasushi</creatorcontrib><creatorcontrib>Okada, Yoshinori</creatorcontrib><title>Ex vivo lung CT findings may predict the outcome of the early phase after lung transplantation</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>We developed an ex vivo lung CT (EVL-CT) technique that allows us to obtain detailed CT images and morphologically assess the retrieved lung from a donor for transplantation. After we recovered the lung graft from a brain-dead donor, we transported it to our hospital and CT images were obtained ex vivo before lung transplant surgery. The objective of this study was to investigate the correlation between the EVL-CT findings and post-transplant outcome in patients who underwent bilateral lung transplantation (BLT) or single lung transplantation (SLT).
We retrospectively reviewed the records of 70 patients with available EVL-CT data who underwent BLT (34 cases) or SLT (36 cases) in our hospital between October 2007 and September 2017. The recipients were divided into 2 groups (control group, infiltration group) according to the findings of EVL-CT of the lung graft in BLT and SLT, respectively. Recipients in the control group were transplanted lung grafts without any infiltrates (BLT control group, SLT control group). Recipients in the infiltration group received lung grafts with infiltrates (BLT infiltration group, SLT infiltration group).
The recipients in the BLT infiltration group showed significantly slower recovery from primary graft dysfunction and a longer mechanical ventilation period and ICU stay period than those in the BLT control group. The mechanical ventilation period was significantly longer in the recipients in the SLT infiltration group than those in the SLT control group.
EVL-CT may predict the outcome of the early phase after lung transplantation.</description><subject>Aging</subject><subject>Biology and Life Sciences</subject><subject>Brain death</subject><subject>Brain research</subject><subject>Cancer</subject><subject>CAT scans</subject><subject>Computed tomography</subject><subject>Consent</subject><subject>Correlation analysis</subject><subject>Demographics</subject><subject>Grafting</subject><subject>Hospitals</subject><subject>Infiltration</subject><subject>Lung diseases</subject><subject>Lung transplantation</subject><subject>Lungs</subject><subject>Mechanical ventilation</subject><subject>Medical examination</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Preoperative care</subject><subject>Research and Analysis Methods</subject><subject>Studies</subject><subject>Surgery</subject><subject>Thoracic surgery</subject><subject>Tissue donors</subject><subject>Transplantation</subject><subject>Transplants & 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vivo lung CT findings may predict the outcome of the early phase after lung transplantation</title><author>Oishi, Hisashi ; Noda, Masafumi ; Sado, Tetsu ; Matsuda, Yasushi ; Niikawa, Hiromichi ; Watanabe, Tatsuaki ; Sakurada, Akira ; Hoshikawa, Yasushi ; Okada, Yoshinori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-dc08cdd359f45cc4e0bc690cd40e238860302e6292f4d454fafacfc6d81ba7943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aging</topic><topic>Biology and Life Sciences</topic><topic>Brain death</topic><topic>Brain research</topic><topic>Cancer</topic><topic>CAT scans</topic><topic>Computed tomography</topic><topic>Consent</topic><topic>Correlation analysis</topic><topic>Demographics</topic><topic>Grafting</topic><topic>Hospitals</topic><topic>Infiltration</topic><topic>Lung diseases</topic><topic>Lung transplantation</topic><topic>Lungs</topic><topic>Mechanical ventilation</topic><topic>Medical examination</topic><topic>Medical imaging</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Preoperative care</topic><topic>Research and Analysis Methods</topic><topic>Studies</topic><topic>Surgery</topic><topic>Thoracic surgery</topic><topic>Tissue donors</topic><topic>Transplantation</topic><topic>Transplants & implants</topic><topic>Ventilation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oishi, Hisashi</creatorcontrib><creatorcontrib>Noda, Masafumi</creatorcontrib><creatorcontrib>Sado, Tetsu</creatorcontrib><creatorcontrib>Matsuda, Yasushi</creatorcontrib><creatorcontrib>Niikawa, Hiromichi</creatorcontrib><creatorcontrib>Watanabe, Tatsuaki</creatorcontrib><creatorcontrib>Sakurada, Akira</creatorcontrib><creatorcontrib>Hoshikawa, 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Yoshinori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ex vivo lung CT findings may predict the outcome of the early phase after lung transplantation</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-05-29</date><risdate>2020</risdate><volume>15</volume><issue>5</issue><spage>e0233804</spage><epage>e0233804</epage><pages>e0233804-e0233804</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We developed an ex vivo lung CT (EVL-CT) technique that allows us to obtain detailed CT images and morphologically assess the retrieved lung from a donor for transplantation. After we recovered the lung graft from a brain-dead donor, we transported it to our hospital and CT images were obtained ex vivo before lung transplant surgery. The objective of this study was to investigate the correlation between the EVL-CT findings and post-transplant outcome in patients who underwent bilateral lung transplantation (BLT) or single lung transplantation (SLT).
We retrospectively reviewed the records of 70 patients with available EVL-CT data who underwent BLT (34 cases) or SLT (36 cases) in our hospital between October 2007 and September 2017. The recipients were divided into 2 groups (control group, infiltration group) according to the findings of EVL-CT of the lung graft in BLT and SLT, respectively. Recipients in the control group were transplanted lung grafts without any infiltrates (BLT control group, SLT control group). Recipients in the infiltration group received lung grafts with infiltrates (BLT infiltration group, SLT infiltration group).
The recipients in the BLT infiltration group showed significantly slower recovery from primary graft dysfunction and a longer mechanical ventilation period and ICU stay period than those in the BLT control group. The mechanical ventilation period was significantly longer in the recipients in the SLT infiltration group than those in the SLT control group.
EVL-CT may predict the outcome of the early phase after lung transplantation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32469995</pmid><doi>10.1371/journal.pone.0233804</doi><tpages>e0233804</tpages><orcidid>https://orcid.org/0000-0002-1381-6362</orcidid><orcidid>https://orcid.org/0000-0002-0457-789X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aging Biology and Life Sciences Brain death Brain research Cancer CAT scans Computed tomography Consent Correlation analysis Demographics Grafting Hospitals Infiltration Lung diseases Lung transplantation Lungs Mechanical ventilation Medical examination Medical imaging Medicine and Health Sciences Methods Patient outcomes Patients Preoperative care Research and Analysis Methods Studies Surgery Thoracic surgery Tissue donors Transplantation Transplants & implants Ventilation |
title | Ex vivo lung CT findings may predict the outcome of the early phase after lung transplantation |
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