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

被引:20
|
作者
Sanfilippo, Filippo [1 ,2 ]
La Via, Luigi [1 ,2 ]
Dezio, Veronica [1 ,2 ]
Santonocito, Cristina [1 ]
Amelio, Paolo [1 ,2 ]
Genoese, Giulio [3 ]
Astuto, Marinella [1 ,2 ]
Noto, Alberto [4 ]
机构
[1] AOU Policlin San Marco, Dept Anaesthesia & Intens Care, Site Policlin G Rodol,Via S Sofia N 78, I-95123 Catania, Italy
[2] Univ Catania, Univ Hosp G Rodol, Sch Anaesthesia & Intens Care, I-95123 Catania, Italy
[3] Univ Messina, Policlin G Martino, Div Anesthesia & Intens Care, Messina, Italy
[4] Univ Messina, Policlin G Martino, Dept Human Pathol Adult & Evolut Age Gaetano Barre, Div Anesthesia & Intens Care, Messina, Italy
基金
英国科研创新办公室;
关键词
Critical care; Ultrasound; Subcostal; Transhepatic; Inferior vena cava; FLUID RESPONSIVENESS; DIAMETER;
D O I
10.1186/s40635-023-00505-7
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
PurposeAssessment 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.MethodsProspective 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.ResultsSixty 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]).ConclusionsThe 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.
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页数:12
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