Quality control of B-lines analysis in stress Echo 2020
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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. |
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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 |
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info:eu-repo/semantics/publishedVersion |
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publishedVersion |
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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 |
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http://hdl.handle.net/10183/187749 |
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eng |
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eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Cardiovascular ultrasound [recurso eletrônico]. London. vol. 16 (2018), 20, 9 f. |
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