Cargando…
Assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on healthy volunteers
PURPOSE: Assessment of the inferior vena cava (IVC) respiratory variation may be clinically useful for the estimation of fluid-responsiveness and venous congestion; however, imaging from subcostal (SC, sagittal) region is not always feasible. It is unclear if coronal trans-hepatic (TH) IVC imaging p...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068684/ https://www.ncbi.nlm.nih.gov/pubmed/37009935 http://dx.doi.org/10.1186/s40635-023-00505-7 |
_version_ | 1785018709422637056 |
---|---|
author | Sanfilippo, Filippo La Via, Luigi Dezio, Veronica Santonocito, Cristina Amelio, Paolo Genoese, Giulio Astuto, Marinella Noto, Alberto |
author_facet | Sanfilippo, Filippo La Via, Luigi Dezio, Veronica Santonocito, Cristina Amelio, Paolo Genoese, Giulio Astuto, Marinella Noto, Alberto |
author_sort | Sanfilippo, Filippo |
collection | PubMed |
description | PURPOSE: Assessment of the inferior vena cava (IVC) respiratory variation may be clinically useful for the estimation of fluid-responsiveness and venous congestion; however, imaging from subcostal (SC, sagittal) region is not always feasible. It is unclear if coronal trans-hepatic (TH) IVC imaging provides interchangeable results. The use of artificial intelligence (AI) with automated border tracking may be helpful as part of point-of-care ultrasound but it needs validation. METHODS: Prospective observational study conducted in spontaneously breathing healthy volunteers with assessment of IVC collapsibility (IVCc) in SC and TH imaging, with measures taken in M-mode or with AI software. We calculated mean bias and limits of agreement (LoA), and the intra-class correlation (ICC) coefficient with their 95% confidence intervals. RESULTS: Sixty volunteers were included; IVC was not visualized in five of them (n = 2, both SC and TH windows, 3.3%; n = 3 in TH approach, 5%). Compared with M-mode, AI showed good accuracy both for SC (IVCc: bias − 0.7%, LoA [− 24.9; 23.6]) and TH approach (IVCc: bias 3.7%, LoA [− 14.9; 22.3]). The ICC coefficients showed moderate reliability: 0.57 [0.36; 0.73] in SC, and 0.72 [0.55; 0.83] in TH. Comparing anatomical sites (SC vs TH), results produced by M-mode were not interchangeable (IVCc: bias 13.9%, LoA [− 18.1; 45.8]). When this evaluation was performed with AI, such difference became smaller: IVCc bias 7.7%, LoA [− 19.2; 34.6]. The correlation between SC and TH assessments was poor for M-mode (ICC = 0.08 [− 0.18; 0.34]) while moderate for AI (ICC = 0.69 [0.52; 0.81]). CONCLUSIONS: The use of AI shows good accuracy when compared with the traditional M-mode IVC assessment, both for SC and TH imaging. Although AI reduces differences between sagittal and coronal IVC measurements, results from these sites are not interchangeable. |
format | Online Article Text |
id | pubmed-10068684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-100686842023-04-04 Assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on healthy volunteers Sanfilippo, Filippo La Via, Luigi Dezio, Veronica Santonocito, Cristina Amelio, Paolo Genoese, Giulio Astuto, Marinella Noto, Alberto Intensive Care Med Exp Research Articles PURPOSE: Assessment of the inferior vena cava (IVC) respiratory variation may be clinically useful for the estimation of fluid-responsiveness and venous congestion; however, imaging from subcostal (SC, sagittal) region is not always feasible. It is unclear if coronal trans-hepatic (TH) IVC imaging provides interchangeable results. The use of artificial intelligence (AI) with automated border tracking may be helpful as part of point-of-care ultrasound but it needs validation. METHODS: Prospective observational study conducted in spontaneously breathing healthy volunteers with assessment of IVC collapsibility (IVCc) in SC and TH imaging, with measures taken in M-mode or with AI software. We calculated mean bias and limits of agreement (LoA), and the intra-class correlation (ICC) coefficient with their 95% confidence intervals. RESULTS: Sixty volunteers were included; IVC was not visualized in five of them (n = 2, both SC and TH windows, 3.3%; n = 3 in TH approach, 5%). Compared with M-mode, AI showed good accuracy both for SC (IVCc: bias − 0.7%, LoA [− 24.9; 23.6]) and TH approach (IVCc: bias 3.7%, LoA [− 14.9; 22.3]). The ICC coefficients showed moderate reliability: 0.57 [0.36; 0.73] in SC, and 0.72 [0.55; 0.83] in TH. Comparing anatomical sites (SC vs TH), results produced by M-mode were not interchangeable (IVCc: bias 13.9%, LoA [− 18.1; 45.8]). When this evaluation was performed with AI, such difference became smaller: IVCc bias 7.7%, LoA [− 19.2; 34.6]. The correlation between SC and TH assessments was poor for M-mode (ICC = 0.08 [− 0.18; 0.34]) while moderate for AI (ICC = 0.69 [0.52; 0.81]). CONCLUSIONS: The use of AI shows good accuracy when compared with the traditional M-mode IVC assessment, both for SC and TH imaging. Although AI reduces differences between sagittal and coronal IVC measurements, results from these sites are not interchangeable. Springer International Publishing 2023-04-03 /pmc/articles/PMC10068684/ /pubmed/37009935 http://dx.doi.org/10.1186/s40635-023-00505-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Articles Sanfilippo, Filippo La Via, Luigi Dezio, Veronica Santonocito, Cristina Amelio, Paolo Genoese, Giulio Astuto, Marinella Noto, Alberto Assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on healthy volunteers |
title | Assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on healthy volunteers |
title_full | Assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on healthy volunteers |
title_fullStr | Assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on healthy volunteers |
title_full_unstemmed | Assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on healthy volunteers |
title_short | Assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on healthy volunteers |
title_sort | assessment of the inferior vena cava collapsibility from subcostal and trans-hepatic imaging using both m-mode or artificial intelligence: a prospective study on healthy volunteers |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10068684/ https://www.ncbi.nlm.nih.gov/pubmed/37009935 http://dx.doi.org/10.1186/s40635-023-00505-7 |
work_keys_str_mv | AT sanfilippofilippo assessmentoftheinferiorvenacavacollapsibilityfromsubcostalandtranshepaticimagingusingbothmmodeorartificialintelligenceaprospectivestudyonhealthyvolunteers AT lavialuigi assessmentoftheinferiorvenacavacollapsibilityfromsubcostalandtranshepaticimagingusingbothmmodeorartificialintelligenceaprospectivestudyonhealthyvolunteers AT dezioveronica assessmentoftheinferiorvenacavacollapsibilityfromsubcostalandtranshepaticimagingusingbothmmodeorartificialintelligenceaprospectivestudyonhealthyvolunteers AT santonocitocristina assessmentoftheinferiorvenacavacollapsibilityfromsubcostalandtranshepaticimagingusingbothmmodeorartificialintelligenceaprospectivestudyonhealthyvolunteers AT ameliopaolo assessmentoftheinferiorvenacavacollapsibilityfromsubcostalandtranshepaticimagingusingbothmmodeorartificialintelligenceaprospectivestudyonhealthyvolunteers AT genoesegiulio assessmentoftheinferiorvenacavacollapsibilityfromsubcostalandtranshepaticimagingusingbothmmodeorartificialintelligenceaprospectivestudyonhealthyvolunteers AT astutomarinella assessmentoftheinferiorvenacavacollapsibilityfromsubcostalandtranshepaticimagingusingbothmmodeorartificialintelligenceaprospectivestudyonhealthyvolunteers AT notoalberto assessmentoftheinferiorvenacavacollapsibilityfromsubcostalandtranshepaticimagingusingbothmmodeorartificialintelligenceaprospectivestudyonhealthyvolunteers |