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 Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/10860 |
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 B-lines 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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Quality control of B-lines analysis in stress Echo 2020CertificationLung cometsQuality controlStress echocardiographyWall motionBackground 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 B-lines 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.BMCSapientiaScali, Maria C.Ciampi, QuirinoPicano, EugenioBossone, EduardoFerrara, FrancescoCitro, RodolfoColonna, PaoloCostantino, Marco F.Cortigiani, LauroAndrea, Antonello D.Severino, SergioDodi, ClaudioGaibazzi, NicolaGalderisi, MaurizioBarbieri, AndreaMonte, InesMori, FabioReisenhofer, BarbaraRe, FedericaRigo, FaustoTrambaiolo, PaoloAmor, MiguelLowenstein, JorgeMerlo, Pablo M.Daros, Clarissa B.de Castro e Silva Pretto, José L.Miglioranza, Marcelo H.Torres, Marco A. R.de Azevedo Bellagamba, Clarissa C.Chaves, Daniel Q.Simova, IanaVarga, AlbertČelutkienė, JelenaKasprzak, Jaroslaw D.Wierzbowska-Drabik, KarinaLipiec, PiotrWeiner-Mik, PaulinaSzymczyk, EvaWdowiak-Okrojek, KatarzynaDjordjevic-Dikic, AnaDekleva, MilicaStankovic, IvanNeskovic, Aleksandar N.Zagatina, AngelaDi Salvo, GiovanniPerez, Julio E.Camarozano, Ana C.Corciu, Anca I.Boshchenko, AllaLattanzi, FabioCotrim, CarlosFazendas, PaulaHaberka, MaciejSobkowic, BozenaKosmala, WojciechWitkowski, TomaszGosciniak, PiotrSalustri, AlessandroRodriguez-Zanella, HugoLeal, Luis I. M.Nikolic, AlexandraGligorova, SuzanaUrluescu, Madalina-LoredanaFiorino, MariaNovo, GiuseppinaPreradovic-Kovacevic, TamaraOstojic, MiodragBeleslin, BrankoVillari, BrunoDe Nes, MichelePaterni, MarcoCarpeggiani, Clara2018-10-01T09:09:51Z2018-09-252018-10-01T03:22:09Z2018-09-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/10860engCardiovascular Ultrasound. 2018 Sep 25;16(1):20https://doi.org/10.1186/s12947-018-0138-7info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:22:33Zoai:sapientia.ualg.pt:10400.1/10860Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:02:26.750859Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.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 C. 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 C. |
author_facet |
Scali, Maria C. Ciampi, Quirino Picano, Eugenio Bossone, Eduardo Ferrara, Francesco Citro, Rodolfo Colonna, Paolo Costantino, Marco F. Cortigiani, Lauro Andrea, Antonello D. Severino, Sergio Dodi, Claudio Gaibazzi, Nicola Galderisi, Maurizio Barbieri, Andrea Monte, Ines Mori, Fabio Reisenhofer, Barbara Re, Federica Rigo, Fausto Trambaiolo, Paolo Amor, Miguel Lowenstein, Jorge Merlo, Pablo M. Daros, Clarissa B. de Castro e Silva Pretto, José L. Miglioranza, Marcelo H. Torres, Marco A. R. de Azevedo Bellagamba, Clarissa C. Chaves, Daniel Q. Simova, Iana Varga, Albert Čelutkienė, Jelena Kasprzak, Jaroslaw D. Wierzbowska-Drabik, Karina Lipiec, Piotr Weiner-Mik, Paulina Szymczyk, Eva Wdowiak-Okrojek, Katarzyna Djordjevic-Dikic, Ana Dekleva, Milica Stankovic, Ivan Neskovic, Aleksandar N. Zagatina, Angela Di Salvo, Giovanni Perez, Julio E. Camarozano, Ana C. Corciu, Anca I. Boshchenko, Alla Lattanzi, Fabio Cotrim, Carlos Fazendas, Paula Haberka, Maciej Sobkowic, Bozena Kosmala, Wojciech Witkowski, Tomasz Gosciniak, Piotr Salustri, Alessandro Rodriguez-Zanella, Hugo Leal, Luis I. M. Nikolic, Alexandra Gligorova, Suzana Urluescu, Madalina-Loredana Fiorino, Maria Novo, Giuseppina Preradovic-Kovacevic, Tamara Ostojic, Miodrag Beleslin, Branko Villari, Bruno De Nes, Michele Paterni, Marco Carpeggiani, Clara |
author_role |
author |
author2 |
Ciampi, Quirino Picano, Eugenio Bossone, Eduardo Ferrara, Francesco Citro, Rodolfo Colonna, Paolo Costantino, Marco F. Cortigiani, Lauro Andrea, Antonello D. Severino, Sergio Dodi, Claudio Gaibazzi, Nicola Galderisi, Maurizio Barbieri, Andrea Monte, Ines Mori, Fabio Reisenhofer, Barbara Re, Federica Rigo, Fausto Trambaiolo, Paolo Amor, Miguel Lowenstein, Jorge Merlo, Pablo M. Daros, Clarissa B. de Castro e Silva Pretto, José L. Miglioranza, Marcelo H. Torres, Marco A. R. de Azevedo Bellagamba, Clarissa C. Chaves, Daniel Q. Simova, Iana Varga, Albert Čelutkienė, Jelena Kasprzak, Jaroslaw D. Wierzbowska-Drabik, Karina Lipiec, Piotr Weiner-Mik, Paulina Szymczyk, Eva Wdowiak-Okrojek, Katarzyna Djordjevic-Dikic, Ana Dekleva, Milica Stankovic, Ivan Neskovic, Aleksandar N. Zagatina, Angela Di Salvo, Giovanni Perez, Julio E. Camarozano, Ana C. Corciu, Anca I. Boshchenko, Alla Lattanzi, Fabio Cotrim, Carlos Fazendas, Paula Haberka, Maciej Sobkowic, Bozena Kosmala, Wojciech Witkowski, Tomasz Gosciniak, Piotr Salustri, Alessandro Rodriguez-Zanella, Hugo Leal, Luis I. M. Nikolic, Alexandra Gligorova, Suzana Urluescu, Madalina-Loredana Fiorino, Maria Novo, Giuseppina Preradovic-Kovacevic, Tamara Ostojic, Miodrag Beleslin, Branko Villari, Bruno De Nes, Michele Paterni, Marco Carpeggiani, Clara |
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 |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Scali, Maria C. Ciampi, Quirino Picano, Eugenio Bossone, Eduardo Ferrara, Francesco Citro, Rodolfo Colonna, Paolo Costantino, Marco F. Cortigiani, Lauro Andrea, Antonello D. Severino, Sergio Dodi, Claudio Gaibazzi, Nicola Galderisi, Maurizio Barbieri, Andrea Monte, Ines Mori, Fabio Reisenhofer, Barbara Re, Federica Rigo, Fausto Trambaiolo, Paolo Amor, Miguel Lowenstein, Jorge Merlo, Pablo M. Daros, Clarissa B. de Castro e Silva Pretto, José L. Miglioranza, Marcelo H. Torres, Marco A. R. de Azevedo Bellagamba, Clarissa C. Chaves, Daniel Q. Simova, Iana Varga, Albert Čelutkienė, Jelena Kasprzak, Jaroslaw D. Wierzbowska-Drabik, Karina Lipiec, Piotr Weiner-Mik, Paulina Szymczyk, Eva Wdowiak-Okrojek, Katarzyna Djordjevic-Dikic, Ana Dekleva, Milica Stankovic, Ivan Neskovic, Aleksandar N. Zagatina, Angela Di Salvo, Giovanni Perez, Julio E. Camarozano, Ana C. Corciu, Anca I. Boshchenko, Alla Lattanzi, Fabio Cotrim, Carlos Fazendas, Paula Haberka, Maciej Sobkowic, Bozena Kosmala, Wojciech Witkowski, Tomasz Gosciniak, Piotr Salustri, Alessandro Rodriguez-Zanella, Hugo Leal, Luis I. M. Nikolic, Alexandra Gligorova, Suzana Urluescu, Madalina-Loredana Fiorino, Maria Novo, Giuseppina Preradovic-Kovacevic, Tamara Ostojic, Miodrag Beleslin, Branko Villari, Bruno De Nes, Michele Paterni, Marco Carpeggiani, Clara |
dc.subject.por.fl_str_mv |
Certification Lung comets Quality control Stress echocardiography Wall motion |
topic |
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 B-lines 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.none.fl_str_mv |
2018-10-01T09:09:51Z 2018-09-25 2018-10-01T03:22:09Z 2018-09-25T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/10860 |
url |
http://hdl.handle.net/10400.1/10860 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Cardiovascular Ultrasound. 2018 Sep 25;16(1):20 https://doi.org/10.1186/s12947-018-0138-7 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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BMC |
publisher.none.fl_str_mv |
BMC |
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