Quality control of B-lines analysis in stress Echo 2020.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Scali Maria Chiara, Ciampi Quirino, Picano Eugenio, Bossone Eduardo, Ferrara Francesco, Citro Rodolfo, Colonna Paolo, Costantino Marco Fabio, 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 Martin, Daros Clarissa Borguezan, de Castro E Silva Pretto José Luis, Miglioranza Marcelo Haertel, Torres Marco A R, de Azevedo Bellagamba Clarissa Carmona, Chaves Daniel Quesada, 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 Cristina, Corciu Anca Irina, 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 Ignacio Martin, 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, Stress Echo 2020 study group of the Italian Society of Echocardiography and Cardiovascular Imaging (SIECVI)
Аннотация
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.