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Quality control of B-lines analysis in stress Echo 2020

2018-09-25Journal article Open access
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dc.contributor.authorScali, Maria C.
dc.contributor.authorCiampi, Quirino
dc.contributor.authorPicano, Eugenio
dc.contributor.authorBossone, Eduardo
dc.contributor.authorFerrara, Francesco
dc.contributor.authorCitro, Rodolfo
dc.contributor.authorColonna, Paolo
dc.contributor.authorCostantino, Marco F.
dc.contributor.authorCortigiani, Lauro
dc.contributor.authorAndrea, Antonello D.
dc.contributor.authorSeverino, Sergio
dc.contributor.authorDodi, Claudio
dc.contributor.authorGaibazzi, Nicola
dc.contributor.authorGalderisi, Maurizio
dc.contributor.authorBarbieri, Andrea
dc.contributor.authorMonte, Ines
dc.contributor.authorMori, Fabio
dc.contributor.authorReisenhofer, Barbara
dc.contributor.authorRe, Federica
dc.contributor.authorRigo, Fausto
dc.contributor.authorTrambaiolo, Paolo
dc.contributor.authorAmor, Miguel
dc.contributor.authorLowenstein, Jorge
dc.contributor.authorMerlo, Pablo M.
dc.contributor.authorDaros, Clarissa B.
dc.contributor.authorde Castro e Silva Pretto, José L.
dc.contributor.authorMiglioranza, Marcelo H.
dc.contributor.authorTorres, Marco A. R.
dc.contributor.authorde Azevedo Bellagamba, Clarissa C.
dc.contributor.authorChaves, Daniel Q.
dc.contributor.authorSimova, Iana
dc.contributor.authorVarga, Albert
dc.contributor.authorČelutkienė, Jelena
dc.contributor.authorKasprzak, Jaroslaw D.
dc.contributor.authorWierzbowska-Drabik, Karina
dc.contributor.authorLipiec, Piotr
dc.contributor.authorWeiner-Mik, Paulina
dc.contributor.authorSzymczyk, Eva
dc.contributor.authorWdowiak-Okrojek, Katarzyna
dc.contributor.authorDjordjevic-Dikic, Ana
dc.contributor.authorDekleva, Milica
dc.contributor.authorStankovic, Ivan
dc.contributor.authorNeskovic, Aleksandar N.
dc.contributor.authorZagatina, Angela
dc.contributor.authorDi Salvo, Giovanni
dc.contributor.authorPerez, Julio E.
dc.contributor.authorCamarozano, Ana C.
dc.contributor.authorCorciu, Anca I.
dc.contributor.authorBoshchenko, Alla
dc.contributor.authorLattanzi, Fabio
dc.contributor.authorCotrim, Carlos
dc.contributor.authorFazendas, Paula
dc.contributor.authorHaberka, Maciej
dc.contributor.authorSobkowic, Bozena
dc.contributor.authorKosmala, Wojciech
dc.contributor.authorWitkowski, Tomasz
dc.contributor.authorGosciniak, Piotr
dc.contributor.authorSalustri, Alessandro
dc.contributor.authorRodriguez-Zanella, Hugo
dc.contributor.authorLeal, Luis I. M.
dc.contributor.authorNikolic, Alexandra
dc.contributor.authorGligorova, Suzana
dc.contributor.authorUrluescu, Madalina-Loredana
dc.contributor.authorFiorino, Maria
dc.contributor.authorNovo, Giuseppina
dc.contributor.authorPreradovic-Kovacevic, Tamara
dc.contributor.authorOstojic, Miodrag
dc.contributor.authorBeleslin, Branko
dc.contributor.authorVillari, Bruno
dc.contributor.authorDe Nes, Michele
dc.contributor.authorPaterni, Marco
dc.contributor.authorCarpeggiani, Clara
dc.date.accessioned2018-10-01T09:09:51Z
dc.date.available2018-10-01T09:09:51Z
dc.date.issued2018-09-25
dc.date.updated2018-10-01T03:22:09Z
dc.description.abstractBackground 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCardiovascular Ultrasound. 2018 Sep 25;16(1):20pt_PT
dc.identifier.doihttps://doi.org/10.1186/s12947-018-0138-7pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.1/10860
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBMCpt_PT
dc.rights.holderThe Author(s).
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCertificationpt_PT
dc.subjectLung cometspt_PT
dc.subjectQuality controlpt_PT
dc.subjectStress echocardiographypt_PT
dc.subjectWall motionpt_PT
dc.titleQuality control of B-lines analysis in stress Echo 2020pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1:20pt_PT
oaire.citation.titleCardiovascular Ultrasoundpt_PT
oaire.citation.volume16pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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