Cargando…

Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-

BACKGROUND: The role of catheter-based imaging in peripheral interventions for lower extremity artery disease (LEAD) has increased with percutaneous interventions. To clarify the relation between intravascular ultrasound (IVUS) information and procedure selection strategy for endovascular treatment...

Descripción completa

Detalles Bibliográficos
Autores principales: Yazu, Yuko, Fujihara, Masahiko, Takahara, Mitsuyoshi, Kurata, Naoya, Nakata, Aya, Yoshimura, Hitoshi, Ito, Tomoaki, Fukunaga, Masashi, Kozuki, Amane, Tomoi, Yusuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537399/
https://www.ncbi.nlm.nih.gov/pubmed/36201066
http://dx.doi.org/10.1186/s42155-022-00328-9
_version_ 1784803190896590848
author Yazu, Yuko
Fujihara, Masahiko
Takahara, Mitsuyoshi
Kurata, Naoya
Nakata, Aya
Yoshimura, Hitoshi
Ito, Tomoaki
Fukunaga, Masashi
Kozuki, Amane
Tomoi, Yusuke
author_facet Yazu, Yuko
Fujihara, Masahiko
Takahara, Mitsuyoshi
Kurata, Naoya
Nakata, Aya
Yoshimura, Hitoshi
Ito, Tomoaki
Fukunaga, Masashi
Kozuki, Amane
Tomoi, Yusuke
author_sort Yazu, Yuko
collection PubMed
description BACKGROUND: The role of catheter-based imaging in peripheral interventions for lower extremity artery disease (LEAD) has increased with percutaneous interventions. To clarify the relation between intravascular ultrasound (IVUS) information and procedure selection strategy for endovascular treatment therapy (EVT) of the femoropopliteal artery in the real-world clinical settings wherein new endovascular technologies (NETs), including drug-coated balloon (DCB), drug-eluting stent (DES), and covered stent-graft (CS). Our retrospective multicenter analysis examined symptomatic 970 patients treated by EVT for de novo femoropopliteal lesions with IVUS guidance. The decision tree analysis was performed retrospectively to determine the association of IVUS and angiography parameters with the strategy selection of endovascular procedures. We divided the study population according to the developed tree, and identified the most popular strategy selection in each subgroup. We finally examined whether the restenosis risk would be different among respective subgroups of the tree. RESULTS: During the study periods, plain old balloon angioplasty, DCB, and bare nitinol stent were most frequently selected (25.3%, 23.9%, and 23.8%, respectively). The drug-eluting stent (DES), covered stent (CS), and spot stent strategies were used in 7.3%, 11.5%, and 8.1%. NETs had the lowest restenosis risk in the overall population. The decision tree had a depth of six branches and divided the patients into 11 subgroups by IVUS and angiography parameters. The restenosis rate was similarly low among these 11 subgroups when the most popular NET in each subgroup was selected (P = 0.94). CONCLUSIONS: The use of IVUS data along with angiography data would standardize the selection of endovascular procedures and can improve patency outcomes if NETs are used properly.
format Online
Article
Text
id pubmed-9537399
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-95373992022-10-08 Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study- Yazu, Yuko Fujihara, Masahiko Takahara, Mitsuyoshi Kurata, Naoya Nakata, Aya Yoshimura, Hitoshi Ito, Tomoaki Fukunaga, Masashi Kozuki, Amane Tomoi, Yusuke CVIR Endovasc Original Article BACKGROUND: The role of catheter-based imaging in peripheral interventions for lower extremity artery disease (LEAD) has increased with percutaneous interventions. To clarify the relation between intravascular ultrasound (IVUS) information and procedure selection strategy for endovascular treatment therapy (EVT) of the femoropopliteal artery in the real-world clinical settings wherein new endovascular technologies (NETs), including drug-coated balloon (DCB), drug-eluting stent (DES), and covered stent-graft (CS). Our retrospective multicenter analysis examined symptomatic 970 patients treated by EVT for de novo femoropopliteal lesions with IVUS guidance. The decision tree analysis was performed retrospectively to determine the association of IVUS and angiography parameters with the strategy selection of endovascular procedures. We divided the study population according to the developed tree, and identified the most popular strategy selection in each subgroup. We finally examined whether the restenosis risk would be different among respective subgroups of the tree. RESULTS: During the study periods, plain old balloon angioplasty, DCB, and bare nitinol stent were most frequently selected (25.3%, 23.9%, and 23.8%, respectively). The drug-eluting stent (DES), covered stent (CS), and spot stent strategies were used in 7.3%, 11.5%, and 8.1%. NETs had the lowest restenosis risk in the overall population. The decision tree had a depth of six branches and divided the patients into 11 subgroups by IVUS and angiography parameters. The restenosis rate was similarly low among these 11 subgroups when the most popular NET in each subgroup was selected (P = 0.94). CONCLUSIONS: The use of IVUS data along with angiography data would standardize the selection of endovascular procedures and can improve patency outcomes if NETs are used properly. Springer International Publishing 2022-10-06 /pmc/articles/PMC9537399/ /pubmed/36201066 http://dx.doi.org/10.1186/s42155-022-00328-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Yazu, Yuko
Fujihara, Masahiko
Takahara, Mitsuyoshi
Kurata, Naoya
Nakata, Aya
Yoshimura, Hitoshi
Ito, Tomoaki
Fukunaga, Masashi
Kozuki, Amane
Tomoi, Yusuke
Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-
title Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-
title_full Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-
title_fullStr Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-
title_full_unstemmed Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-
title_short Intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the ONION Study-
title_sort intravascular ultrasound-based decision tree model for the optimal endovascular treatment strategy selection of femoropopliteal artery disease—results from the onion study-
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537399/
https://www.ncbi.nlm.nih.gov/pubmed/36201066
http://dx.doi.org/10.1186/s42155-022-00328-9
work_keys_str_mv AT yazuyuko intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT fujiharamasahiko intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT takaharamitsuyoshi intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT kuratanaoya intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT nakataaya intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT yoshimurahitoshi intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT itotomoaki intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT fukunagamasashi intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT kozukiamane intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy
AT tomoiyusuke intravascularultrasoundbaseddecisiontreemodelfortheoptimalendovasculartreatmentstrategyselectionoffemoropoplitealarterydiseaseresultsfromtheonionstudy