Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses
Background: Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultrasonographic images is considered as one of the ma...
Gespeichert in:
| Veröffentlicht in: | The journal of vascular access 2024-07, Vol.25 (4), p.1252-1260 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1260 |
|---|---|
| container_issue | 4 |
| container_start_page | 1252 |
| container_title | The journal of vascular access |
| container_volume | 25 |
| creator | Abe-Doi, Mari Murayama, Ryoko Takahashi, Toshiaki Matsumoto, Masaru Tamai, Nao Nakagami, Gojiro Sanada, Hiromi |
| description | Background:
Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultrasonographic images is considered as one of the main reasons of difficulty in using ultrasound for catheter placement. Therefore, an automatic vessel detection system (AVDS) using artificial intelligence was developed. This study aimed to investigate the effectiveness of AVDS for ultrasound beginners in selecting puncture points and determine suitable users for this system.
Methods:
In this crossover experiment involving the use of ultrasound with and without AVDS, we enrolled 10 clinical nurses, including 5 with some experience in peripheral intravenous catheterization using ultrasound-aided methods (categorized as ultrasound beginners) and 5 with no experience in ultrasound and less experience in peripheral intravenous catheterization using conventional methods (categorized as inexperienced). These participants chose two puncture points (those with the largest and second largest diameter) as ideal in each forearm of a healthy volunteer. The results of this study were the time required for the selection of puncture points and the vein diameter of the selected points.
Results:
Among ultrasound beginners, the time required for puncture point selection in the right forearm second candidate vein with a small diameter ( |
| doi_str_mv | 10.1177/11297298231156489 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2786104675</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_11297298231156489</sage_id><sourcerecordid>2786104675</sourcerecordid><originalsourceid>FETCH-LOGICAL-c340t-82c8a14d8d28c69cda93a463f19f9f11c3296bfdfbc323d51aeaec0bcff1b4013</originalsourceid><addsrcrecordid>eNp9kc2KFTEQhYM4OOOMD-BGsnTTYyrpvyxlmB9hwI2um3S6cidDd3JNJco8ky9phnsVQXBVB-o7pygOY29BXAIMwwcAqQepR6kAur4d9Qt2BoNsm14o-bLqum-egVP2muhRCKk7aF-xU9WPVXX6jP28dg5tJh4dL2tOhmIJC__h8wM3gZuS42ayt_w7EuHKF8wV9zFweqKMGy_kw46blL3z1puV-5BxXf0Og0VeufyAvDqPrnpmX4LNJSHfx8oSN1usCX8dn3HnQ8DE7eqDtzUzlERIF-zEmZXwzXGes68311-u7pr7z7efrj7eN1a1IjejtKOBdhkXOdpe28VoZdpeOdBOOwCrpO5nt7i5KrV0YNCgFbN1DuZWgDpn7w-5-xS_FaQ8bZ5sfcoEjIUmOYw9iLYfuorCAbUpEiV00z75zaSnCcT03NH0T0fV8-4YX-YNlz-O36VU4PIAkNnh9BhLCvXd_yT-AtoVn70</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2786104675</pqid></control><display><type>article</type><title>Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses</title><source>MEDLINE</source><source>SAGE Journals</source><creator>Abe-Doi, Mari ; Murayama, Ryoko ; Takahashi, Toshiaki ; Matsumoto, Masaru ; Tamai, Nao ; Nakagami, Gojiro ; Sanada, Hiromi</creator><creatorcontrib>Abe-Doi, Mari ; Murayama, Ryoko ; Takahashi, Toshiaki ; Matsumoto, Masaru ; Tamai, Nao ; Nakagami, Gojiro ; Sanada, Hiromi</creatorcontrib><description>Background:
Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultrasonographic images is considered as one of the main reasons of difficulty in using ultrasound for catheter placement. Therefore, an automatic vessel detection system (AVDS) using artificial intelligence was developed. This study aimed to investigate the effectiveness of AVDS for ultrasound beginners in selecting puncture points and determine suitable users for this system.
Methods:
In this crossover experiment involving the use of ultrasound with and without AVDS, we enrolled 10 clinical nurses, including 5 with some experience in peripheral intravenous catheterization using ultrasound-aided methods (categorized as ultrasound beginners) and 5 with no experience in ultrasound and less experience in peripheral intravenous catheterization using conventional methods (categorized as inexperienced). These participants chose two puncture points (those with the largest and second largest diameter) as ideal in each forearm of a healthy volunteer. The results of this study were the time required for the selection of puncture points and the vein diameter of the selected points.
Results:
Among ultrasound beginners, the time required for puncture point selection in the right forearm second candidate vein with a small diameter (<3 mm) was significantly shorter when using ultrasound with AVDS than when using it without AVDS (mean, 87 vs 247 s). Among inexperienced nurses, no significant difference in the time required for all puncture point selections was found between the use of ultrasound with and without AVDS. In the vein diameter, significant difference was shown only in the absolute difference at left second candidate among inexperienced participants.
Conclusion:
Ultrasonography beginners needed less time to select the puncture points in a small diameter vein using ultrasound with AVDS than without AVDS.</description><identifier>ISSN: 1129-7298</identifier><identifier>ISSN: 1724-6032</identifier><identifier>EISSN: 1724-6032</identifier><identifier>DOI: 10.1177/11297298231156489</identifier><identifier>PMID: 36895159</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adult ; Artificial Intelligence ; Automation ; Catheterization, Peripheral - adverse effects ; Clinical Competence ; Cross-Over Studies ; Female ; Forearm - blood supply ; Humans ; Image Interpretation, Computer-Assisted ; Male ; Predictive Value of Tests ; Punctures ; Time Factors ; Ultrasonography, Interventional ; Veins - diagnostic imaging</subject><ispartof>The journal of vascular access, 2024-07, Vol.25 (4), p.1252-1260</ispartof><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-82c8a14d8d28c69cda93a463f19f9f11c3296bfdfbc323d51aeaec0bcff1b4013</citedby><cites>FETCH-LOGICAL-c340t-82c8a14d8d28c69cda93a463f19f9f11c3296bfdfbc323d51aeaec0bcff1b4013</cites><orcidid>0000-0003-1912-1251</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/11297298231156489$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/11297298231156489$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36895159$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abe-Doi, Mari</creatorcontrib><creatorcontrib>Murayama, Ryoko</creatorcontrib><creatorcontrib>Takahashi, Toshiaki</creatorcontrib><creatorcontrib>Matsumoto, Masaru</creatorcontrib><creatorcontrib>Tamai, Nao</creatorcontrib><creatorcontrib>Nakagami, Gojiro</creatorcontrib><creatorcontrib>Sanada, Hiromi</creatorcontrib><title>Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses</title><title>The journal of vascular access</title><addtitle>J Vasc Access</addtitle><description>Background:
Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultrasonographic images is considered as one of the main reasons of difficulty in using ultrasound for catheter placement. Therefore, an automatic vessel detection system (AVDS) using artificial intelligence was developed. This study aimed to investigate the effectiveness of AVDS for ultrasound beginners in selecting puncture points and determine suitable users for this system.
Methods:
In this crossover experiment involving the use of ultrasound with and without AVDS, we enrolled 10 clinical nurses, including 5 with some experience in peripheral intravenous catheterization using ultrasound-aided methods (categorized as ultrasound beginners) and 5 with no experience in ultrasound and less experience in peripheral intravenous catheterization using conventional methods (categorized as inexperienced). These participants chose two puncture points (those with the largest and second largest diameter) as ideal in each forearm of a healthy volunteer. The results of this study were the time required for the selection of puncture points and the vein diameter of the selected points.
Results:
Among ultrasound beginners, the time required for puncture point selection in the right forearm second candidate vein with a small diameter (<3 mm) was significantly shorter when using ultrasound with AVDS than when using it without AVDS (mean, 87 vs 247 s). Among inexperienced nurses, no significant difference in the time required for all puncture point selections was found between the use of ultrasound with and without AVDS. In the vein diameter, significant difference was shown only in the absolute difference at left second candidate among inexperienced participants.
Conclusion:
Ultrasonography beginners needed less time to select the puncture points in a small diameter vein using ultrasound with AVDS than without AVDS.</description><subject>Adult</subject><subject>Artificial Intelligence</subject><subject>Automation</subject><subject>Catheterization, Peripheral - adverse effects</subject><subject>Clinical Competence</subject><subject>Cross-Over Studies</subject><subject>Female</subject><subject>Forearm - blood supply</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Male</subject><subject>Predictive Value of Tests</subject><subject>Punctures</subject><subject>Time Factors</subject><subject>Ultrasonography, Interventional</subject><subject>Veins - diagnostic imaging</subject><issn>1129-7298</issn><issn>1724-6032</issn><issn>1724-6032</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc2KFTEQhYM4OOOMD-BGsnTTYyrpvyxlmB9hwI2um3S6cidDd3JNJco8ky9phnsVQXBVB-o7pygOY29BXAIMwwcAqQepR6kAur4d9Qt2BoNsm14o-bLqum-egVP2muhRCKk7aF-xU9WPVXX6jP28dg5tJh4dL2tOhmIJC__h8wM3gZuS42ayt_w7EuHKF8wV9zFweqKMGy_kw46blL3z1puV-5BxXf0Og0VeufyAvDqPrnpmX4LNJSHfx8oSN1usCX8dn3HnQ8DE7eqDtzUzlERIF-zEmZXwzXGes68311-u7pr7z7efrj7eN1a1IjejtKOBdhkXOdpe28VoZdpeOdBOOwCrpO5nt7i5KrV0YNCgFbN1DuZWgDpn7w-5-xS_FaQ8bZ5sfcoEjIUmOYw9iLYfuorCAbUpEiV00z75zaSnCcT03NH0T0fV8-4YX-YNlz-O36VU4PIAkNnh9BhLCvXd_yT-AtoVn70</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Abe-Doi, Mari</creator><creator>Murayama, Ryoko</creator><creator>Takahashi, Toshiaki</creator><creator>Matsumoto, Masaru</creator><creator>Tamai, Nao</creator><creator>Nakagami, Gojiro</creator><creator>Sanada, Hiromi</creator><general>SAGE Publications</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>7X8</scope><orcidid>https://orcid.org/0000-0003-1912-1251</orcidid></search><sort><creationdate>20240701</creationdate><title>Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses</title><author>Abe-Doi, Mari ; Murayama, Ryoko ; Takahashi, Toshiaki ; Matsumoto, Masaru ; Tamai, Nao ; Nakagami, Gojiro ; Sanada, Hiromi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-82c8a14d8d28c69cda93a463f19f9f11c3296bfdfbc323d51aeaec0bcff1b4013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Artificial Intelligence</topic><topic>Automation</topic><topic>Catheterization, Peripheral - adverse effects</topic><topic>Clinical Competence</topic><topic>Cross-Over Studies</topic><topic>Female</topic><topic>Forearm - blood supply</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Male</topic><topic>Predictive Value of Tests</topic><topic>Punctures</topic><topic>Time Factors</topic><topic>Ultrasonography, Interventional</topic><topic>Veins - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abe-Doi, Mari</creatorcontrib><creatorcontrib>Murayama, Ryoko</creatorcontrib><creatorcontrib>Takahashi, Toshiaki</creatorcontrib><creatorcontrib>Matsumoto, Masaru</creatorcontrib><creatorcontrib>Tamai, Nao</creatorcontrib><creatorcontrib>Nakagami, Gojiro</creatorcontrib><creatorcontrib>Sanada, Hiromi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The journal of vascular access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abe-Doi, Mari</au><au>Murayama, Ryoko</au><au>Takahashi, Toshiaki</au><au>Matsumoto, Masaru</au><au>Tamai, Nao</au><au>Nakagami, Gojiro</au><au>Sanada, Hiromi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses</atitle><jtitle>The journal of vascular access</jtitle><addtitle>J Vasc Access</addtitle><date>2024-07-01</date><risdate>2024</risdate><volume>25</volume><issue>4</issue><spage>1252</spage><epage>1260</epage><pages>1252-1260</pages><issn>1129-7298</issn><issn>1724-6032</issn><eissn>1724-6032</eissn><abstract>Background:
Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultrasonographic images is considered as one of the main reasons of difficulty in using ultrasound for catheter placement. Therefore, an automatic vessel detection system (AVDS) using artificial intelligence was developed. This study aimed to investigate the effectiveness of AVDS for ultrasound beginners in selecting puncture points and determine suitable users for this system.
Methods:
In this crossover experiment involving the use of ultrasound with and without AVDS, we enrolled 10 clinical nurses, including 5 with some experience in peripheral intravenous catheterization using ultrasound-aided methods (categorized as ultrasound beginners) and 5 with no experience in ultrasound and less experience in peripheral intravenous catheterization using conventional methods (categorized as inexperienced). These participants chose two puncture points (those with the largest and second largest diameter) as ideal in each forearm of a healthy volunteer. The results of this study were the time required for the selection of puncture points and the vein diameter of the selected points.
Results:
Among ultrasound beginners, the time required for puncture point selection in the right forearm second candidate vein with a small diameter (<3 mm) was significantly shorter when using ultrasound with AVDS than when using it without AVDS (mean, 87 vs 247 s). Among inexperienced nurses, no significant difference in the time required for all puncture point selections was found between the use of ultrasound with and without AVDS. In the vein diameter, significant difference was shown only in the absolute difference at left second candidate among inexperienced participants.
Conclusion:
Ultrasonography beginners needed less time to select the puncture points in a small diameter vein using ultrasound with AVDS than without AVDS.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>36895159</pmid><doi>10.1177/11297298231156489</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1912-1251</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1129-7298 |
| ispartof | The journal of vascular access, 2024-07, Vol.25 (4), p.1252-1260 |
| issn | 1129-7298 1724-6032 1724-6032 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2786104675 |
| source | MEDLINE; SAGE Journals |
| subjects | Adult Artificial Intelligence Automation Catheterization, Peripheral - adverse effects Clinical Competence Cross-Over Studies Female Forearm - blood supply Humans Image Interpretation, Computer-Assisted Male Predictive Value of Tests Punctures Time Factors Ultrasonography, Interventional Veins - diagnostic imaging |
| title | Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T15%3A39%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Effects%20of%20ultrasound%20with%20an%20automatic%20vessel%20detection%20system%20using%20artificial%20intelligence%20on%20the%20selection%20of%20puncture%20points%20among%20ultrasound%20beginner%20clinical%20nurses&rft.jtitle=The%20journal%20of%20vascular%20access&rft.au=Abe-Doi,%20Mari&rft.date=2024-07-01&rft.volume=25&rft.issue=4&rft.spage=1252&rft.epage=1260&rft.pages=1252-1260&rft.issn=1129-7298&rft.eissn=1724-6032&rft_id=info:doi/10.1177/11297298231156489&rft_dat=%3Cproquest_cross%3E2786104675%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2786104675&rft_id=info:pmid/36895159&rft_sage_id=10.1177_11297298231156489&rfr_iscdi=true |