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Journal of Clinical Monitoring and Computing
Published in: Journal of Clinical Monitoring and Computing 4/2017

01-08-2017 | Original Research

Ability and efficiency of an automatic analysis software to measure microvascular parameters

Authors: Andrea Carsetti, Hollmann D. Aya, Silvia Pierantozzi, Simone Bazurro, Abele Donati, Andrew Rhodes, Maurizio Cecconi

Published in: Journal of Clinical Monitoring and Computing | Issue 4/2017

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Abstract

Analysis of the microcirculation is currently performed offline, is time consuming and operator dependent. The aim of this study was to assess the ability and efficiency of the automatic analysis software CytoCamTools 1.7.12 (CC) to measure microvascular parameters in comparison with Automated Vascular Analysis (AVA) software 3.2. 22 patients admitted to the cardiothoracic intensive care unit following cardiac surgery were prospectively enrolled. Sublingual microcirculatory videos were analysed using AVA and CC software. The total vessel density (TVD) for small vessels, perfused vessel density (PVD) and proportion of perfused vessels (PPV) were calculated. Blood flow was assessed using the microvascular flow index (MFI) for AVA software and the averaged perfused speed indicator (APSI) for the CC software. The duration of the analysis was also recorded. Eighty-four videos from 22 patients were analysed. The bias between TVD-CC and TVD-AVA was 2.20 mm/mm2 (95 % CI 1.37–3.03) with limits of agreement (LOA) of −4.39 (95 % CI −5.66 to −3.16) and 8.79 (95 % CI 7.50–10.01) mm/mm2. The percentage error (PE) for TVD was ±32.2 %. TVD was positively correlated between CC and AVA (r = 0.74, p < 0.001). The bias between PVD-CC and PVD-AVA was 6.54 mm/mm2 (95 % CI 5.60–7.48) with LOA of −4.25 (95 % CI −8.48 to −0.02) and 17.34 (95 % CI 13.11–21.57) mm/mm2. The PE for PVD was ±61.2 %. PVD was positively correlated between CC and AVA (r = 0.66, p < 0.001). The median PPV-AVA was significantly higher than the median PPV-CC [97.39 % (95.25, 100 %) vs. 81.65 % (61.97, 88.99), p < 0.0001]. MFI categories cannot estimate or predict APSI values (p = 0.45). The time required for the analysis was shorter with CC than with AVA system [2′42″ (2′12″, 3′31″) vs. 16′12″ (13′38″, 17′57″), p < 0.001]. TVD is comparable between the two softwares, although faster with CC software. The values for PVD and PPV are not interchangeable given the different approach to assess microcirculatory flow.
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Metadata
Title
Ability and efficiency of an automatic analysis software to measure microvascular parameters
Authors
Andrea Carsetti
Hollmann D. Aya
Silvia Pierantozzi
Simone Bazurro
Abele Donati
Andrew Rhodes
Maurizio Cecconi
Publication date
01-08-2017
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 4/2017
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-016-9928-3

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