Quality control of B-lines analysis in stress Echo 2020

Detalhes bibliográficos
Autor(a) principal: Scali, Maria Chiara
Data de Publicação: 2018
Outros Autores: Ciampi, Quirino, Picano, Eugenio, Bossone, Eduardo, Ferrara, Francesco, Citro, Rodolfo, Colonna, Paolo, Costantino, Marco Fabio, Cortigiani, Lauro, D'Andrea, Antonello, Severino, Sergio, Dodi, Claudio, Gaibazzi, Nicola, Galderisi, Maurizio, Barbieri, Andréa, Monte, Ines Paola, Mori, Fabio, Reisenhofer, Barbara, Re, Federica, Rigo, Fausto, Trambaiolo, Paolo, Amor, Miguel, Lowenstein, Jorge, Merlo, Pablo, Daros, Clarissa Borguezan, Pretto, José Luis de Castro e Silva, Miglioranza, Marcelo Haertel, Torres, Marco Antonio Rodrigues, Bellagamba, Clarissa Carmona de Azevedo, Quesada Chaves, Daniel, Simova, Iana, Varga, Albert, Celutkiene, Jelena, Kasprzak, Jaroslaw D., Wierzbowska-Drabik, Karina, Lipiec, Piotr, Weiner-Mik, Paulina, Szymczyk, Ewa, Wdowiak-Okrojek, Katarzyna, Djordjevic-Dikic, Ana, Dekleva, Milica, Stanković, Ivan, Nešković, Aleksandar N., Zagatina, Angela, Di Salvo, Giovanni, Perez, Julio E., Camarozano, Ana Cristina, Corciu, Anca Irina, Boshchenko, Alla A., Lattanzi, Fabio, Cotrim, Carlos Alberto Dias, Fazendas, Paula, Haberka, Maciej, Sobkowic, Bozena, Kosmala, Wojciech, Witkowski, Tomasz G., Gosćiniak, Piotr, Salustri, Alessandro, Rodríguez-Zanella, Hugo, Leal, Luis Ignacio Martin, Nikolic, Alexandra, Gligorova, Suzana, Urluescu, Mǎdǎlina Loredana, Fiorino, Maria Giovanna, Novo, Giuseppina, Preradovic-Kovacevic, Tamara, Ostojić, Miodrag Caslav, Beleslin, Branko, Villari, Bruno, De Nes, Michele, Paterni, Marco, Carpeggiani, Clara, Andreassi, Maria Grazia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/187749
Resumo: Background: The effectiveness trial “Stress echo (SE) 2020” evaluates novel applications of SE in and beyond coronary artery disease. The core protocol also includes 4-site simplified scan of B-lines by lung ultrasound, useful to assess pulmonary congestion. Purpose: To provide web-based upstream quality control and harmonization of B-lines reading criteria. Methods: 60 readers (all previously accredited for regional wall motion, 53 B-lines naive) from 52 centers of 16 countries of SE 2020 network read a set of 20 lung ultrasound video-clips selected by the Pisa lab serving as reference standard, after taking an obligatory web-based learning 2-h module (http://se2020.altervista.org). Each test clip was scored for Blines from 0 (black lung, A-lines, no B-lines) to 10 (white lung, coalescing B-lines). The diagnostic gold standard was the concordant assessment of two experienced readers of the Pisa lab. The answer of the reader was considered correct if concordant with reference standard reading ±1 (for instance, reference standard reading of 5 B-lines; correct answer 4, 5, or 6). The a priori determined pass threshold was 18/20 (≥ 90%) with R value (intra-class correlation coefficient) between reference standard and recruiting center) > 0.90. Inter-observer agreement was assessed with intra-class correlation coefficient statistics. Results: All 60 readers were successfully accredited: 26 (43%) on first, 24 (40%) on second, and 10 (17%) on third attempt. The average diagnostic accuracy of the 60 accredited readers was 95%, with R value of 0.95 compared to reference standard reading. The 53 B-lines naive scored similarly to the 7 B-lines expert on first attempt (90 versus 95%, p = NS). Compared to the step-1 of quality control for regional wall motion abnormalities, the mean reading time per attempt was shorter (17 ± 3 vs 29 ± 12 min, p < .01), the first attempt success rate was higher (43 vs 28%, p < 0.01), and the drop-out of readers smaller (0 vs 28%, p < .01). Conclusions: Web-based learning is highly effective for teaching and harmonizing B-lines reading. Echocardiographers without previous experience with B-lines learn quickly.
id UFRGS-2_bebf6acaef04f117759e499ba86fee70
oai_identifier_str oai:www.lume.ufrgs.br:10183/187749
network_acronym_str UFRGS-2
network_name_str Repositório Institucional da UFRGS
repository_id_str
spelling Scali, Maria ChiaraCiampi, QuirinoPicano, EugenioBossone, EduardoFerrara, FrancescoCitro, RodolfoColonna, PaoloCostantino, Marco FabioCortigiani, LauroD'Andrea, AntonelloSeverino, SergioDodi, ClaudioGaibazzi, NicolaGalderisi, MaurizioBarbieri, AndréaMonte, Ines PaolaMori, FabioReisenhofer, BarbaraRe, FedericaRigo, FaustoTrambaiolo, PaoloAmor, MiguelLowenstein, JorgeMerlo, PabloDaros, Clarissa BorguezanPretto, José Luis de Castro e SilvaMiglioranza, Marcelo HaertelTorres, Marco Antonio RodriguesBellagamba, Clarissa Carmona de AzevedoQuesada Chaves, DanielSimova, IanaVarga, AlbertCelutkiene, JelenaKasprzak, Jaroslaw D.Wierzbowska-Drabik, KarinaLipiec, PiotrWeiner-Mik, PaulinaSzymczyk, EwaWdowiak-Okrojek, KatarzynaDjordjevic-Dikic, AnaDekleva, MilicaStanković, IvanNešković, Aleksandar N.Zagatina, AngelaDi Salvo, GiovanniPerez, Julio E.Camarozano, Ana CristinaCorciu, Anca IrinaBoshchenko, Alla A.Lattanzi, FabioCotrim, Carlos Alberto DiasFazendas, PaulaHaberka, MaciejSobkowic, BozenaKosmala, WojciechWitkowski, Tomasz G.Gosćiniak, PiotrSalustri, AlessandroRodríguez-Zanella, HugoLeal, Luis Ignacio MartinNikolic, AlexandraGligorova, SuzanaUrluescu, Mǎdǎlina LoredanaFiorino, Maria GiovannaNovo, GiuseppinaPreradovic-Kovacevic, TamaraOstojić, Miodrag CaslavBeleslin, BrankoVillari, BrunoDe Nes, MichelePaterni, MarcoCarpeggiani, ClaraAndreassi, Maria Grazia2019-01-15T04:03:16Z20181476-7120http://hdl.handle.net/10183/187749001084680Background: The effectiveness trial “Stress echo (SE) 2020” evaluates novel applications of SE in and beyond coronary artery disease. The core protocol also includes 4-site simplified scan of B-lines by lung ultrasound, useful to assess pulmonary congestion. Purpose: To provide web-based upstream quality control and harmonization of B-lines reading criteria. Methods: 60 readers (all previously accredited for regional wall motion, 53 B-lines naive) from 52 centers of 16 countries of SE 2020 network read a set of 20 lung ultrasound video-clips selected by the Pisa lab serving as reference standard, after taking an obligatory web-based learning 2-h module (http://se2020.altervista.org). Each test clip was scored for Blines from 0 (black lung, A-lines, no B-lines) to 10 (white lung, coalescing B-lines). The diagnostic gold standard was the concordant assessment of two experienced readers of the Pisa lab. The answer of the reader was considered correct if concordant with reference standard reading ±1 (for instance, reference standard reading of 5 B-lines; correct answer 4, 5, or 6). The a priori determined pass threshold was 18/20 (≥ 90%) with R value (intra-class correlation coefficient) between reference standard and recruiting center) > 0.90. Inter-observer agreement was assessed with intra-class correlation coefficient statistics. Results: All 60 readers were successfully accredited: 26 (43%) on first, 24 (40%) on second, and 10 (17%) on third attempt. The average diagnostic accuracy of the 60 accredited readers was 95%, with R value of 0.95 compared to reference standard reading. The 53 B-lines naive scored similarly to the 7 B-lines expert on first attempt (90 versus 95%, p = NS). Compared to the step-1 of quality control for regional wall motion abnormalities, the mean reading time per attempt was shorter (17 ± 3 vs 29 ± 12 min, p < .01), the first attempt success rate was higher (43 vs 28%, p < 0.01), and the drop-out of readers smaller (0 vs 28%, p < .01). Conclusions: Web-based learning is highly effective for teaching and harmonizing B-lines reading. Echocardiographers without previous experience with B-lines learn quickly.application/pdfengCardiovascular ultrasound [recurso eletrônico]. London. vol. 16 (2018), 20, 9 f.CertificaçãoControle de qualidadeEcocardiografia sob estresseDoenças cardiovascularesCertificationLung cometsQuality controlStress echocardiographyWall motionQuality control of B-lines analysis in stress Echo 2020Estrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001084680.pdf.txt001084680.pdf.txtExtracted Texttext/plain46079http://www.lume.ufrgs.br/bitstream/10183/187749/2/001084680.pdf.txt270f81edb8c5c156735f4bf1981200beMD52ORIGINAL001084680.pdfTexto completo (inglês)application/pdf1126952http://www.lume.ufrgs.br/bitstream/10183/187749/1/001084680.pdf31a806b6b526af25356c0460f4625132MD5110183/1877492023-11-30 04:23:51.207267oai:www.lume.ufrgs.br:10183/187749Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-11-30T06:23:51Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Quality control of B-lines analysis in stress Echo 2020
title Quality control of B-lines analysis in stress Echo 2020
spellingShingle Quality control of B-lines analysis in stress Echo 2020
Scali, Maria Chiara
Certificação
Controle de qualidade
Ecocardiografia sob estresse
Doenças cardiovasculares
Certification
Lung comets
Quality control
Stress echocardiography
Wall motion
title_short Quality control of B-lines analysis in stress Echo 2020
title_full Quality control of B-lines analysis in stress Echo 2020
title_fullStr Quality control of B-lines analysis in stress Echo 2020
title_full_unstemmed Quality control of B-lines analysis in stress Echo 2020
title_sort Quality control of B-lines analysis in stress Echo 2020
author Scali, Maria Chiara
author_facet Scali, Maria Chiara
Ciampi, Quirino
Picano, Eugenio
Bossone, Eduardo
Ferrara, Francesco
Citro, Rodolfo
Colonna, Paolo
Costantino, Marco Fabio
Cortigiani, Lauro
D'Andrea, Antonello
Severino, Sergio
Dodi, Claudio
Gaibazzi, Nicola
Galderisi, Maurizio
Barbieri, Andréa
Monte, Ines Paola
Mori, Fabio
Reisenhofer, Barbara
Re, Federica
Rigo, Fausto
Trambaiolo, Paolo
Amor, Miguel
Lowenstein, Jorge
Merlo, Pablo
Daros, Clarissa Borguezan
Pretto, José Luis de Castro e Silva
Miglioranza, Marcelo Haertel
Torres, Marco Antonio Rodrigues
Bellagamba, Clarissa Carmona de Azevedo
Quesada Chaves, Daniel
Simova, Iana
Varga, Albert
Celutkiene, Jelena
Kasprzak, Jaroslaw D.
Wierzbowska-Drabik, Karina
Lipiec, Piotr
Weiner-Mik, Paulina
Szymczyk, Ewa
Wdowiak-Okrojek, Katarzyna
Djordjevic-Dikic, Ana
Dekleva, Milica
Stanković, Ivan
Nešković, Aleksandar N.
Zagatina, Angela
Di Salvo, Giovanni
Perez, Julio E.
Camarozano, Ana Cristina
Corciu, Anca Irina
Boshchenko, Alla A.
Lattanzi, Fabio
Cotrim, Carlos Alberto Dias
Fazendas, Paula
Haberka, Maciej
Sobkowic, Bozena
Kosmala, Wojciech
Witkowski, Tomasz G.
Gosćiniak, Piotr
Salustri, Alessandro
Rodríguez-Zanella, Hugo
Leal, Luis Ignacio Martin
Nikolic, Alexandra
Gligorova, Suzana
Urluescu, Mǎdǎlina Loredana
Fiorino, Maria Giovanna
Novo, Giuseppina
Preradovic-Kovacevic, Tamara
Ostojić, Miodrag Caslav
Beleslin, Branko
Villari, Bruno
De Nes, Michele
Paterni, Marco
Carpeggiani, Clara
Andreassi, Maria Grazia
author_role author
author2 Ciampi, Quirino
Picano, Eugenio
Bossone, Eduardo
Ferrara, Francesco
Citro, Rodolfo
Colonna, Paolo
Costantino, Marco Fabio
Cortigiani, Lauro
D'Andrea, Antonello
Severino, Sergio
Dodi, Claudio
Gaibazzi, Nicola
Galderisi, Maurizio
Barbieri, Andréa
Monte, Ines Paola
Mori, Fabio
Reisenhofer, Barbara
Re, Federica
Rigo, Fausto
Trambaiolo, Paolo
Amor, Miguel
Lowenstein, Jorge
Merlo, Pablo
Daros, Clarissa Borguezan
Pretto, José Luis de Castro e Silva
Miglioranza, Marcelo Haertel
Torres, Marco Antonio Rodrigues
Bellagamba, Clarissa Carmona de Azevedo
Quesada Chaves, Daniel
Simova, Iana
Varga, Albert
Celutkiene, Jelena
Kasprzak, Jaroslaw D.
Wierzbowska-Drabik, Karina
Lipiec, Piotr
Weiner-Mik, Paulina
Szymczyk, Ewa
Wdowiak-Okrojek, Katarzyna
Djordjevic-Dikic, Ana
Dekleva, Milica
Stanković, Ivan
Nešković, Aleksandar N.
Zagatina, Angela
Di Salvo, Giovanni
Perez, Julio E.
Camarozano, Ana Cristina
Corciu, Anca Irina
Boshchenko, Alla A.
Lattanzi, Fabio
Cotrim, Carlos Alberto Dias
Fazendas, Paula
Haberka, Maciej
Sobkowic, Bozena
Kosmala, Wojciech
Witkowski, Tomasz G.
Gosćiniak, Piotr
Salustri, Alessandro
Rodríguez-Zanella, Hugo
Leal, Luis Ignacio Martin
Nikolic, Alexandra
Gligorova, Suzana
Urluescu, Mǎdǎlina Loredana
Fiorino, Maria Giovanna
Novo, Giuseppina
Preradovic-Kovacevic, Tamara
Ostojić, Miodrag Caslav
Beleslin, Branko
Villari, Bruno
De Nes, Michele
Paterni, Marco
Carpeggiani, Clara
Andreassi, Maria Grazia
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Scali, Maria Chiara
Ciampi, Quirino
Picano, Eugenio
Bossone, Eduardo
Ferrara, Francesco
Citro, Rodolfo
Colonna, Paolo
Costantino, Marco Fabio
Cortigiani, Lauro
D'Andrea, Antonello
Severino, Sergio
Dodi, Claudio
Gaibazzi, Nicola
Galderisi, Maurizio
Barbieri, Andréa
Monte, Ines Paola
Mori, Fabio
Reisenhofer, Barbara
Re, Federica
Rigo, Fausto
Trambaiolo, Paolo
Amor, Miguel
Lowenstein, Jorge
Merlo, Pablo
Daros, Clarissa Borguezan
Pretto, José Luis de Castro e Silva
Miglioranza, Marcelo Haertel
Torres, Marco Antonio Rodrigues
Bellagamba, Clarissa Carmona de Azevedo
Quesada Chaves, Daniel
Simova, Iana
Varga, Albert
Celutkiene, Jelena
Kasprzak, Jaroslaw D.
Wierzbowska-Drabik, Karina
Lipiec, Piotr
Weiner-Mik, Paulina
Szymczyk, Ewa
Wdowiak-Okrojek, Katarzyna
Djordjevic-Dikic, Ana
Dekleva, Milica
Stanković, Ivan
Nešković, Aleksandar N.
Zagatina, Angela
Di Salvo, Giovanni
Perez, Julio E.
Camarozano, Ana Cristina
Corciu, Anca Irina
Boshchenko, Alla A.
Lattanzi, Fabio
Cotrim, Carlos Alberto Dias
Fazendas, Paula
Haberka, Maciej
Sobkowic, Bozena
Kosmala, Wojciech
Witkowski, Tomasz G.
Gosćiniak, Piotr
Salustri, Alessandro
Rodríguez-Zanella, Hugo
Leal, Luis Ignacio Martin
Nikolic, Alexandra
Gligorova, Suzana
Urluescu, Mǎdǎlina Loredana
Fiorino, Maria Giovanna
Novo, Giuseppina
Preradovic-Kovacevic, Tamara
Ostojić, Miodrag Caslav
Beleslin, Branko
Villari, Bruno
De Nes, Michele
Paterni, Marco
Carpeggiani, Clara
Andreassi, Maria Grazia
dc.subject.por.fl_str_mv Certificação
Controle de qualidade
Ecocardiografia sob estresse
Doenças cardiovasculares
topic Certificação
Controle de qualidade
Ecocardiografia sob estresse
Doenças cardiovasculares
Certification
Lung comets
Quality control
Stress echocardiography
Wall motion
dc.subject.eng.fl_str_mv Certification
Lung comets
Quality control
Stress echocardiography
Wall motion
description Background: The effectiveness trial “Stress echo (SE) 2020” evaluates novel applications of SE in and beyond coronary artery disease. The core protocol also includes 4-site simplified scan of B-lines by lung ultrasound, useful to assess pulmonary congestion. Purpose: To provide web-based upstream quality control and harmonization of B-lines reading criteria. Methods: 60 readers (all previously accredited for regional wall motion, 53 B-lines naive) from 52 centers of 16 countries of SE 2020 network read a set of 20 lung ultrasound video-clips selected by the Pisa lab serving as reference standard, after taking an obligatory web-based learning 2-h module (http://se2020.altervista.org). Each test clip was scored for Blines from 0 (black lung, A-lines, no B-lines) to 10 (white lung, coalescing B-lines). The diagnostic gold standard was the concordant assessment of two experienced readers of the Pisa lab. The answer of the reader was considered correct if concordant with reference standard reading ±1 (for instance, reference standard reading of 5 B-lines; correct answer 4, 5, or 6). The a priori determined pass threshold was 18/20 (≥ 90%) with R value (intra-class correlation coefficient) between reference standard and recruiting center) > 0.90. Inter-observer agreement was assessed with intra-class correlation coefficient statistics. Results: All 60 readers were successfully accredited: 26 (43%) on first, 24 (40%) on second, and 10 (17%) on third attempt. The average diagnostic accuracy of the 60 accredited readers was 95%, with R value of 0.95 compared to reference standard reading. The 53 B-lines naive scored similarly to the 7 B-lines expert on first attempt (90 versus 95%, p = NS). Compared to the step-1 of quality control for regional wall motion abnormalities, the mean reading time per attempt was shorter (17 ± 3 vs 29 ± 12 min, p < .01), the first attempt success rate was higher (43 vs 28%, p < 0.01), and the drop-out of readers smaller (0 vs 28%, p < .01). Conclusions: Web-based learning is highly effective for teaching and harmonizing B-lines reading. Echocardiographers without previous experience with B-lines learn quickly.
publishDate 2018
dc.date.issued.fl_str_mv 2018
dc.date.accessioned.fl_str_mv 2019-01-15T04:03:16Z
dc.type.driver.fl_str_mv Estrangeiro
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://hdl.handle.net/10183/187749
dc.identifier.issn.pt_BR.fl_str_mv 1476-7120
dc.identifier.nrb.pt_BR.fl_str_mv 001084680
identifier_str_mv 1476-7120
001084680
url http://hdl.handle.net/10183/187749
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Cardiovascular ultrasound [recurso eletrônico]. London. vol. 16 (2018), 20, 9 f.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/187749/2/001084680.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/187749/1/001084680.pdf
bitstream.checksum.fl_str_mv 270f81edb8c5c156735f4bf1981200be
31a806b6b526af25356c0460f4625132
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv
_version_ 1801224960151126016