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Inferior vena cava distensibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on mechanically ventilated patients

BACKGROUND: Variation of inferior vena cava (IVC) is used to predict fluid-responsiveness, but the IVC visualization with standard sagittal approach (SC, subcostal) cannot be always achieved. In such cases, coronal trans-hepatic (TH) window may offer an alternative, but the interchangeability of IVC...

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Autores principales: Sanfilippo, Filippo, La Via, Luigi, Dezio, Veronica, Amelio, Paolo, Genoese, Giulio, Franchi, Federico, Messina, Antonio, Robba, Chiara, Noto, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329966/
https://www.ncbi.nlm.nih.gov/pubmed/37423948
http://dx.doi.org/10.1186/s40635-023-00529-z
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author Sanfilippo, Filippo
La Via, Luigi
Dezio, Veronica
Amelio, Paolo
Genoese, Giulio
Franchi, Federico
Messina, Antonio
Robba, Chiara
Noto, Alberto
author_facet Sanfilippo, Filippo
La Via, Luigi
Dezio, Veronica
Amelio, Paolo
Genoese, Giulio
Franchi, Federico
Messina, Antonio
Robba, Chiara
Noto, Alberto
author_sort Sanfilippo, Filippo
collection PubMed
description BACKGROUND: Variation of inferior vena cava (IVC) is used to predict fluid-responsiveness, but the IVC visualization with standard sagittal approach (SC, subcostal) cannot be always achieved. In such cases, coronal trans-hepatic (TH) window may offer an alternative, but the interchangeability of IVC measurements in SC and TH is not fully established. Furthermore, artificial intelligence (AI) with automated border detection may be of clinical value but it needs validation. METHODS: Prospective observational validation study in mechanically ventilated patients with pressure-controlled mode. Primary outcome was the IVC distensibility (IVC-DI) in SC and TH imaging, with measurements taken both in M-Mode or with AI software. We calculated mean bias, limits of agreement (LoA), and intra-class correlation (ICC) coefficient. RESULTS: Thirty-three patients were included. Feasibility rate was 87.9% and 81.8% for SC and TH visualization, respectively. Comparing imaging from the same anatomical site acquired with different modalities (M-Mode vs AI), we found the following IVC-DI differences: (1) SC: mean bias − 3.1%, LoA [− 20.1; 13.9], ICC = 0.65; (2) TH: mean bias − 2.0%, LoA [− 19.3; 15.4], ICC = 0.65. When comparing the results obtained from the same modality but from different sites (SC vs TH), IVC-DI differences were: (3) M-Mode: mean bias 1.1%, LoA [− 6.9; 9.1], ICC = 0.54; (4) AI: mean bias 2.0%, LoA [− 25.7; 29.7], ICC = 0.32. CONCLUSIONS: In patients mechanically ventilated, AI software shows good accuracy (modest overestimation) and moderate correlation as compared to M-mode assessment of IVC-DI, both for SC and TH windows. However, precision seems suboptimal with wide LoA. The comparison of M-Mode or AI between different sites yields similar results but with weaker correlation. Trial registration Reference protocol: 53/2022/PO, approved on 21/03/2022 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40635-023-00529-z.
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spelling pubmed-103299662023-07-11 Inferior vena cava distensibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on mechanically ventilated patients Sanfilippo, Filippo La Via, Luigi Dezio, Veronica Amelio, Paolo Genoese, Giulio Franchi, Federico Messina, Antonio Robba, Chiara Noto, Alberto Intensive Care Med Exp Research Articles BACKGROUND: Variation of inferior vena cava (IVC) is used to predict fluid-responsiveness, but the IVC visualization with standard sagittal approach (SC, subcostal) cannot be always achieved. In such cases, coronal trans-hepatic (TH) window may offer an alternative, but the interchangeability of IVC measurements in SC and TH is not fully established. Furthermore, artificial intelligence (AI) with automated border detection may be of clinical value but it needs validation. METHODS: Prospective observational validation study in mechanically ventilated patients with pressure-controlled mode. Primary outcome was the IVC distensibility (IVC-DI) in SC and TH imaging, with measurements taken both in M-Mode or with AI software. We calculated mean bias, limits of agreement (LoA), and intra-class correlation (ICC) coefficient. RESULTS: Thirty-three patients were included. Feasibility rate was 87.9% and 81.8% for SC and TH visualization, respectively. Comparing imaging from the same anatomical site acquired with different modalities (M-Mode vs AI), we found the following IVC-DI differences: (1) SC: mean bias − 3.1%, LoA [− 20.1; 13.9], ICC = 0.65; (2) TH: mean bias − 2.0%, LoA [− 19.3; 15.4], ICC = 0.65. When comparing the results obtained from the same modality but from different sites (SC vs TH), IVC-DI differences were: (3) M-Mode: mean bias 1.1%, LoA [− 6.9; 9.1], ICC = 0.54; (4) AI: mean bias 2.0%, LoA [− 25.7; 29.7], ICC = 0.32. CONCLUSIONS: In patients mechanically ventilated, AI software shows good accuracy (modest overestimation) and moderate correlation as compared to M-mode assessment of IVC-DI, both for SC and TH windows. However, precision seems suboptimal with wide LoA. The comparison of M-Mode or AI between different sites yields similar results but with weaker correlation. Trial registration Reference protocol: 53/2022/PO, approved on 21/03/2022 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40635-023-00529-z. Springer International Publishing 2023-07-10 /pmc/articles/PMC10329966/ /pubmed/37423948 http://dx.doi.org/10.1186/s40635-023-00529-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Amelio, Paolo
Genoese, Giulio
Franchi, Federico
Messina, Antonio
Robba, Chiara
Noto, Alberto
Inferior vena cava distensibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on mechanically ventilated patients
title Inferior vena cava distensibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on mechanically ventilated patients
title_full Inferior vena cava distensibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on mechanically ventilated patients
title_fullStr Inferior vena cava distensibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on mechanically ventilated patients
title_full_unstemmed Inferior vena cava distensibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on mechanically ventilated patients
title_short Inferior vena cava distensibility from subcostal and trans-hepatic imaging using both M-mode or artificial intelligence: a prospective study on mechanically ventilated patients
title_sort inferior vena cava distensibility from subcostal and trans-hepatic imaging using both m-mode or artificial intelligence: a prospective study on mechanically ventilated patients
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329966/
https://www.ncbi.nlm.nih.gov/pubmed/37423948
http://dx.doi.org/10.1186/s40635-023-00529-z
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