Fabian Müller-Graf, Dominik Wrede, Lena Bork, Gerd Klinkmann, Moritz Flick, Daniel A. Reuter, Amelie R. Zitzmann, Stephan H. Böhm, Susanne Reuter
{"title":"微循环视频序列量化：使用分析管理器进行自动分析与使用毛细管映射器进行手动分析的比较。","authors":"Fabian Müller-Graf, Dominik Wrede, Lena Bork, Gerd Klinkmann, Moritz Flick, Daniel A. Reuter, Amelie R. Zitzmann, Stephan H. Böhm, Susanne Reuter","doi":"10.1111/micc.12890","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>Microcirculatory disturbances can contribute to organ dysfunction in patients undergoing major surgeries and critical illness. Incident dark field imaging (CytoCam, Braedius Medical BV, Huizen, Netherlands) provides direct visualization of the microcirculation. To utilize this method in daily clinical practice, automated image analysis is essential. This study aims to compare the automated analysis of recorded microcirculation video sequences using CytoCamTools V2 Analysis Manager (Braedius Medical BV) with established manual analysis using Capillary Mapper (Version 1.4.5, University Hospital Münster, Germany) as reference method.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Sublingual microcirculation video sequences were recorded in patients undergoing laparotomy at four time points (before surgery, 2 and 6 h after surgery, and on the first postoperative day) using incident dark field imaging. Agreement between automated and manual analysis of total vessel density (TVD), perfused vessel density (PVD), and proportion of perfused vessels (PPV) was compared using intraclass correlation (ICC) and Bland–Altman method.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>A total of 336 videos from 30 patients were analyzed. The ICC between the two measurement methods was 0.13 for TVD, 0.14 for PVD, and 0.16 for PPV. Bland–Altman analysis showed mean differences (95% limits of agreement) of 10.46 mm/mm<sup>2</sup> (−1.73–22.65 mm/mm<sup>2</sup>) for TVD, 8.25 mm/mm<sup>2</sup> (−9.88–26.39 mm/mm<sup>2</sup>) for PVD, and − 3.96% (−59.58%–51.65%) for PPV.</p>\n </section>\n \n <section>\n \n <h3> Discussion</h3>\n \n <p>Automated microcirculatory analysis using the Analysis Manager did not show clinically acceptable agreement with manual analysis using Capillary Mapper. Consequently, automated video analysis using the Analysis Manager does not appear to be a suitable approach.</p>\n \n <p><b>Trial Registration:</b> ClinicalTrials.gov identifier: DRKS00020264</p>\n </section>\n </div>","PeriodicalId":18459,"journal":{"name":"Microcirculation","volume":"31 8","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/micc.12890","citationCount":"0","resultStr":"{\"title\":\"Quantification of Video Sequences of the Microcirculation: A Comparison Between Automated Analysis Using Analysis Manager and Manual Analysis Using Capillary Mapper\",\"authors\":\"Fabian Müller-Graf, Dominik Wrede, Lena Bork, Gerd Klinkmann, Moritz Flick, Daniel A. Reuter, Amelie R. Zitzmann, Stephan H. Böhm, Susanne Reuter\",\"doi\":\"10.1111/micc.12890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>Microcirculatory disturbances can contribute to organ dysfunction in patients undergoing major surgeries and critical illness. Incident dark field imaging (CytoCam, Braedius Medical BV, Huizen, Netherlands) provides direct visualization of the microcirculation. To utilize this method in daily clinical practice, automated image analysis is essential. 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Quantification of Video Sequences of the Microcirculation: A Comparison Between Automated Analysis Using Analysis Manager and Manual Analysis Using Capillary Mapper
Objective
Microcirculatory disturbances can contribute to organ dysfunction in patients undergoing major surgeries and critical illness. Incident dark field imaging (CytoCam, Braedius Medical BV, Huizen, Netherlands) provides direct visualization of the microcirculation. To utilize this method in daily clinical practice, automated image analysis is essential. This study aims to compare the automated analysis of recorded microcirculation video sequences using CytoCamTools V2 Analysis Manager (Braedius Medical BV) with established manual analysis using Capillary Mapper (Version 1.4.5, University Hospital Münster, Germany) as reference method.
Methods
Sublingual microcirculation video sequences were recorded in patients undergoing laparotomy at four time points (before surgery, 2 and 6 h after surgery, and on the first postoperative day) using incident dark field imaging. Agreement between automated and manual analysis of total vessel density (TVD), perfused vessel density (PVD), and proportion of perfused vessels (PPV) was compared using intraclass correlation (ICC) and Bland–Altman method.
Results
A total of 336 videos from 30 patients were analyzed. The ICC between the two measurement methods was 0.13 for TVD, 0.14 for PVD, and 0.16 for PPV. Bland–Altman analysis showed mean differences (95% limits of agreement) of 10.46 mm/mm2 (−1.73–22.65 mm/mm2) for TVD, 8.25 mm/mm2 (−9.88–26.39 mm/mm2) for PVD, and − 3.96% (−59.58%–51.65%) for PPV.
Discussion
Automated microcirculatory analysis using the Analysis Manager did not show clinically acceptable agreement with manual analysis using Capillary Mapper. Consequently, automated video analysis using the Analysis Manager does not appear to be a suitable approach.
期刊介绍：
The journal features original contributions that are the result of investigations contributing significant new information relating to the vascular and lymphatic microcirculation addressed at the intact animal, organ, cellular, or molecular level. Papers describe applications of the methods of physiology, biophysics, bioengineering, genetics, cell biology, biochemistry, and molecular biology to problems in microcirculation.
Microcirculation also publishes state-of-the-art reviews that address frontier areas or new advances in technology in the fields of microcirculatory disease and function. Specific areas of interest include: Angiogenesis, growth and remodeling; Transport and exchange of gasses and solutes; Rheology and biorheology; Endothelial cell biology and metabolism; Interactions between endothelium, smooth muscle, parenchymal cells, leukocytes and platelets; Regulation of vasomotor tone; and Microvascular structures, imaging and morphometry. Papers also describe innovations in experimental techniques and instrumentation for studying all aspects of microcirculatory structure and function.
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