Multiple factors affect the regeneration of liver
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista da Associação Médica Brasileira (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302018000900791 |
Resumo: | SUMMARY OBJECTIVE To study factors affecting the liver regeneration after hepatectomy METHODS With 3D reconstitution technology, liver regeneration ability of 117 patients was analysed, and relative factors were studied. RESULTS There was no statistically difference between the volume of simulated liver resection and the actual liver resection. All livers had different degrees of regeneration after surgery. Age, gender and blood indicators had no impact on liver regeneration, while surgery time, intraoperative blood loss, blood flow blocking time and different ways of liver resection had a significant impact on liver regeneration; In addition, the patients’ own pathological status, including, hepatitis and liver fibrosis all had a significant impact on liver regeneration. CONCLUSION 3D reconstitution model is a good model to calculate liver volume. Age, gender, blood indicators and biochemistry indicators have no impact on liver regeneration, but surgery indicators and patients’ own pathological status have influence on liver regeneration. |
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Multiple factors affect the regeneration of liverLiver neoplasmsCarcinoma, hepatocellularHepatectomyLiver regenerationImaging, three-dimensionalSUMMARY OBJECTIVE To study factors affecting the liver regeneration after hepatectomy METHODS With 3D reconstitution technology, liver regeneration ability of 117 patients was analysed, and relative factors were studied. RESULTS There was no statistically difference between the volume of simulated liver resection and the actual liver resection. All livers had different degrees of regeneration after surgery. Age, gender and blood indicators had no impact on liver regeneration, while surgery time, intraoperative blood loss, blood flow blocking time and different ways of liver resection had a significant impact on liver regeneration; In addition, the patients’ own pathological status, including, hepatitis and liver fibrosis all had a significant impact on liver regeneration. CONCLUSION 3D reconstitution model is a good model to calculate liver volume. Age, gender, blood indicators and biochemistry indicators have no impact on liver regeneration, but surgery indicators and patients’ own pathological status have influence on liver regeneration.Associação Médica Brasileira2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302018000900791Revista da Associação Médica Brasileira v.64 n.9 2018reponame:Revista da Associação Médica Brasileira (Online)instname:Associação Médica Brasileira (AMB)instacron:AMB10.1590/1806-9282.64.09.791info:eu-repo/semantics/openAccessOuyang,GaoxiongLiu,JianyongWang,PengRen,YuanYi,PingZhou,QuanChen,JunXiang,BangdeZhang,YumeiZhang,ZhimingLi,Lequneng2018-11-30T00:00:00Zoai:scielo:S0104-42302018000900791Revistahttps://ramb.amb.org.br/ultimas-edicoes/#https://old.scielo.br/oai/scielo-oai.php||ramb@amb.org.br1806-92820104-4230opendoar:2018-11-30T00:00Revista da Associação Médica Brasileira (Online) - Associação Médica Brasileira (AMB)false |
dc.title.none.fl_str_mv |
Multiple factors affect the regeneration of liver |
title |
Multiple factors affect the regeneration of liver |
spellingShingle |
Multiple factors affect the regeneration of liver Ouyang,Gaoxiong Liver neoplasms Carcinoma, hepatocellular Hepatectomy Liver regeneration Imaging, three-dimensional |
title_short |
Multiple factors affect the regeneration of liver |
title_full |
Multiple factors affect the regeneration of liver |
title_fullStr |
Multiple factors affect the regeneration of liver |
title_full_unstemmed |
Multiple factors affect the regeneration of liver |
title_sort |
Multiple factors affect the regeneration of liver |
author |
Ouyang,Gaoxiong |
author_facet |
Ouyang,Gaoxiong Liu,Jianyong Wang,Peng Ren,Yuan Yi,Ping Zhou,Quan Chen,Jun Xiang,Bangde Zhang,Yumei Zhang,Zhiming Li,Lequn |
author_role |
author |
author2 |
Liu,Jianyong Wang,Peng Ren,Yuan Yi,Ping Zhou,Quan Chen,Jun Xiang,Bangde Zhang,Yumei Zhang,Zhiming Li,Lequn |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Ouyang,Gaoxiong Liu,Jianyong Wang,Peng Ren,Yuan Yi,Ping Zhou,Quan Chen,Jun Xiang,Bangde Zhang,Yumei Zhang,Zhiming Li,Lequn |
dc.subject.por.fl_str_mv |
Liver neoplasms Carcinoma, hepatocellular Hepatectomy Liver regeneration Imaging, three-dimensional |
topic |
Liver neoplasms Carcinoma, hepatocellular Hepatectomy Liver regeneration Imaging, three-dimensional |
description |
SUMMARY OBJECTIVE To study factors affecting the liver regeneration after hepatectomy METHODS With 3D reconstitution technology, liver regeneration ability of 117 patients was analysed, and relative factors were studied. RESULTS There was no statistically difference between the volume of simulated liver resection and the actual liver resection. All livers had different degrees of regeneration after surgery. Age, gender and blood indicators had no impact on liver regeneration, while surgery time, intraoperative blood loss, blood flow blocking time and different ways of liver resection had a significant impact on liver regeneration; In addition, the patients’ own pathological status, including, hepatitis and liver fibrosis all had a significant impact on liver regeneration. CONCLUSION 3D reconstitution model is a good model to calculate liver volume. Age, gender, blood indicators and biochemistry indicators have no impact on liver regeneration, but surgery indicators and patients’ own pathological status have influence on liver regeneration. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302018000900791 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302018000900791 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1806-9282.64.09.791 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Médica Brasileira |
publisher.none.fl_str_mv |
Associação Médica Brasileira |
dc.source.none.fl_str_mv |
Revista da Associação Médica Brasileira v.64 n.9 2018 reponame:Revista da Associação Médica Brasileira (Online) instname:Associação Médica Brasileira (AMB) instacron:AMB |
instname_str |
Associação Médica Brasileira (AMB) |
instacron_str |
AMB |
institution |
AMB |
reponame_str |
Revista da Associação Médica Brasileira (Online) |
collection |
Revista da Associação Médica Brasileira (Online) |
repository.name.fl_str_mv |
Revista da Associação Médica Brasileira (Online) - Associação Médica Brasileira (AMB) |
repository.mail.fl_str_mv |
||ramb@amb.org.br |
_version_ |
1754212833459961856 |