prikaz prve stranice dokumenta Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound
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Scientific paper - Original scientific paper
Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound
Journal of Clinical Monitoring and Computing, (2019), 34; 1259-1264. https://doi.org/10.1007/s10877-019-00440-7
Pičuljan, Ana; Šustić, Marko; Brumini, Gordana; Kuharić, Janja; Šustić, Alan

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Pičuljan, A., Šustić, M., Brumini, G., Kuharić, J. & Šustić, A. (2019). Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound. Journal of Clinical Monitoring and Computing, (34), 1259-1264. doi: 10.1007/s10877-019-00440-7

Pičuljan, Ana, et al. "Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound." Journal of Clinical Monitoring and Computing, no. 34, 2019, pp. 1259-1264. https://doi.org/10.1007/s10877-019-00440-7

Pičuljan, Ana, Marko Šustić, Gordana Brumini, Janja Kuharić and Alan Šustić. "Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound." Journal of Clinical Monitoring and Computing no. 34 (2019): 1259-1264. https://doi.org/10.1007/s10877-019-00440-7

Pičuljan, A., et al. (2019) 'Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound', Journal of Clinical Monitoring and Computing, (34), pp. 1259-1264. doi: 10.1007/s10877-019-00440-7

Pičuljan A, Šustić M, Brumini G, Kuharić J, Šustić A. Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound. Journal of Clinical Monitoring and Computing [Internet]. 2019 October 10 [cited 2024 April 29];(34):1259-1264. doi: 10.1007/s10877-019-00440-7

A. Pičuljan, M. Šustić, G. Brumini, J. Kuharić and A. Šustić, "Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound", Journal of Clinical Monitoring and Computing, no. 34, pp. 1259-1264, October 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:184:303133. [Accessed: 29 April 2024]

Metadata
Title (english)Reliability of B‑line quantifcation by diferent‑level observers and a software algorithm using point‑of‑care lung ultrasound
AuthorAna Pičuljan
AuthorMarko Šustić
AuthorGordana Brumini
AuthorJanja Kuharić
AuthorAlan Šustić
Author's institutionUniversity of Rijeka
Faculty of Health Studies
(Department of Clinical Sciences 2)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Anesthesiology and Reanimatology
Abstract (english)
Quantifcation of B-lines on lung ultrasonographs is operator-dependent and considered a semi-quantitative method. To avoid this variability, we designed a software algorithm for counting B-lines. We compared the number of B-lines obtained in real-time by observers with three diferent levels of experience and by the software algorithm, and analyzed intra-rater variability in terms of the estimated number of B-lines in two successive examinations. Forty mechanically ventilated adult (≥18 years) intensive care unit patients were included in this prospective study. All patients underwent two consecutive ultrasound examinations for B-lines detection by three human observers (OB1=high, OB2=medium, OB3=low level of experience) and by the software (OBS). Ultrasound scans were obtained on the anterior right and left thoracic side along the midclavicular line, in the second and fourth intercostal space; B-lines counting for each position lasted 10 s. To assess intraobserver variability, a second ultrasound scan was obtained 15–30 min after the frst scan. For all lung zones, the intraclass correlation for B-lines counting between OB1 and OB2 was 0.663; between OB1 and OB3, 0.559; and between OB1 and OBS, 0.710. OBS had a better concordance coefcient (0.752) between the frst and the second measurements than did the human observers. Our results show that the software algorithm for B-lines counting is a potentially promising alternative when observers have little lung ultrasound experience.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleJournal of Clinical Monitoring and Computing
Numberingno. 34, pp. 1259-1264
p-ISSN1387-1307
DOIhttps://doi.org/10.1007/s10877-019-00440-7
URN:NBNurn:nbn:hr:184:303133
Publication2019-10-10
Document URLurn:nbn:hr:184:467863
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) icon
Created on2022-07-12 09:38:42