Alexandra Papakonstantinou, Jannis Klemming, Martin Haberecht, Dieter Kunz, Frederik Bes
{"title":"Ikelos-RWA。无张力快速眼动睡眠自动量化工具的验证。","authors":"Alexandra Papakonstantinou, Jannis Klemming, Martin Haberecht, Dieter Kunz, Frederik Bes","doi":"10.1177/15500594231175320","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Study Objectives.</i></b> To present and evaluate an automatic scoring algorithm for quantification of REM-sleep without atonia (RWA) in patients with REM-sleep behaviour disorder (RBD) based on a generally accepted, well-validated visual scoring method, (\"Montreal\" phasic and tonic) and a recently developed, concise scoring method (Ikelos-RWA). <b><i>Methods.</i></b> Video-polysomnographies of 20 RBD patients (68.2 ± 7.2 years) and 20 control patients with periodic limb movement disorder (65.9 ± 6.7 years) were retrospectively analysed. RWA was estimated from chin electromyogram during REM-sleep. Visual and automated RWA scorings were correlated, and agreement (<i>a</i>) and Cohen's Kappa (<i>k</i>) calculated for 1735 minutes of REM-sleep of the RBD patients. Discrimination performance was evaluated with receiver operating characteristic (ROC) analysis. The algorithm was then applied on the polysomnographies of a cohort of 232 RBD patients (total analysed REM-sleep: 17,219 minutes) and evaluated, while correlating the different output parameters. <b><i>Results.</i></b> Visual and computer-derived RWA scorings correlated significantly (tonic Montreal: <i>r</i><sub>TM</sub> = 0.77; phasic Montreal: r<sub>PM</sub> = 0.78; Ikelos-RWA: r<sub>I</sub> = 0.97; all <i>p</i> < 0.001) and showed good to excellent Kappa coefficients (<i>k</i><sub>TM</sub> = 0.71; <i>k</i><sub>PM</sub> = 0.79; <i>k</i><sub>I</sub> = 0.77). The ROC analysis showed high sensitivities (95%-100%) and specificities (84%-95%) at the optimal operation points, with area under the curve (AUC) of 0.98, indicating high discriminating capacity. The automatic RWA scorings of 232 patients correlated significantly (<i>r</i><sub>TM{I}</sub> = 0.95; <i>r</i><sub>PM{I}</sub> = 0.91, <i>p</i> < 0.0001). <b><i>Conclusions.</i></b> The presented algorithm is an easy-to-use and valid tool for automatic RWA scoring in patients with RBD and may prove effective for general use being publicly available.</p>","PeriodicalId":10682,"journal":{"name":"Clinical EEG and Neuroscience","volume":" ","pages":"657-664"},"PeriodicalIF":1.6000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459856/pdf/","citationCount":"0","resultStr":"{\"title\":\"Ikelos-RWA. Validation of an Automatic Tool to Quantify REM Sleep Without Atonia.\",\"authors\":\"Alexandra Papakonstantinou, Jannis Klemming, Martin Haberecht, Dieter Kunz, Frederik Bes\",\"doi\":\"10.1177/15500594231175320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Study Objectives.</i></b> To present and evaluate an automatic scoring algorithm for quantification of REM-sleep without atonia (RWA) in patients with REM-sleep behaviour disorder (RBD) based on a generally accepted, well-validated visual scoring method, (\\\"Montreal\\\" phasic and tonic) and a recently developed, concise scoring method (Ikelos-RWA). <b><i>Methods.</i></b> Video-polysomnographies of 20 RBD patients (68.2 ± 7.2 years) and 20 control patients with periodic limb movement disorder (65.9 ± 6.7 years) were retrospectively analysed. RWA was estimated from chin electromyogram during REM-sleep. Visual and automated RWA scorings were correlated, and agreement (<i>a</i>) and Cohen's Kappa (<i>k</i>) calculated for 1735 minutes of REM-sleep of the RBD patients. Discrimination performance was evaluated with receiver operating characteristic (ROC) analysis. The algorithm was then applied on the polysomnographies of a cohort of 232 RBD patients (total analysed REM-sleep: 17,219 minutes) and evaluated, while correlating the different output parameters. <b><i>Results.</i></b> Visual and computer-derived RWA scorings correlated significantly (tonic Montreal: <i>r</i><sub>TM</sub> = 0.77; phasic Montreal: r<sub>PM</sub> = 0.78; Ikelos-RWA: r<sub>I</sub> = 0.97; all <i>p</i> < 0.001) and showed good to excellent Kappa coefficients (<i>k</i><sub>TM</sub> = 0.71; <i>k</i><sub>PM</sub> = 0.79; <i>k</i><sub>I</sub> = 0.77). The ROC analysis showed high sensitivities (95%-100%) and specificities (84%-95%) at the optimal operation points, with area under the curve (AUC) of 0.98, indicating high discriminating capacity. The automatic RWA scorings of 232 patients correlated significantly (<i>r</i><sub>TM{I}</sub> = 0.95; <i>r</i><sub>PM{I}</sub> = 0.91, <i>p</i> < 0.0001). <b><i>Conclusions.</i></b> The presented algorithm is an easy-to-use and valid tool for automatic RWA scoring in patients with RBD and may prove effective for general use being publicly available.</p>\",\"PeriodicalId\":10682,\"journal\":{\"name\":\"Clinical EEG and Neuroscience\",\"volume\":\" \",\"pages\":\"657-664\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459856/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical EEG and Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/15500594231175320\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/5/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical EEG and Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15500594231175320","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/5/16 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Ikelos-RWA. Validation of an Automatic Tool to Quantify REM Sleep Without Atonia.
Study Objectives. To present and evaluate an automatic scoring algorithm for quantification of REM-sleep without atonia (RWA) in patients with REM-sleep behaviour disorder (RBD) based on a generally accepted, well-validated visual scoring method, ("Montreal" phasic and tonic) and a recently developed, concise scoring method (Ikelos-RWA). Methods. Video-polysomnographies of 20 RBD patients (68.2 ± 7.2 years) and 20 control patients with periodic limb movement disorder (65.9 ± 6.7 years) were retrospectively analysed. RWA was estimated from chin electromyogram during REM-sleep. Visual and automated RWA scorings were correlated, and agreement (a) and Cohen's Kappa (k) calculated for 1735 minutes of REM-sleep of the RBD patients. Discrimination performance was evaluated with receiver operating characteristic (ROC) analysis. The algorithm was then applied on the polysomnographies of a cohort of 232 RBD patients (total analysed REM-sleep: 17,219 minutes) and evaluated, while correlating the different output parameters. Results. Visual and computer-derived RWA scorings correlated significantly (tonic Montreal: rTM = 0.77; phasic Montreal: rPM = 0.78; Ikelos-RWA: rI = 0.97; all p < 0.001) and showed good to excellent Kappa coefficients (kTM = 0.71; kPM = 0.79; kI = 0.77). The ROC analysis showed high sensitivities (95%-100%) and specificities (84%-95%) at the optimal operation points, with area under the curve (AUC) of 0.98, indicating high discriminating capacity. The automatic RWA scorings of 232 patients correlated significantly (rTM{I} = 0.95; rPM{I} = 0.91, p < 0.0001). Conclusions. The presented algorithm is an easy-to-use and valid tool for automatic RWA scoring in patients with RBD and may prove effective for general use being publicly available.
期刊介绍:
Clinical EEG and Neuroscience conveys clinically relevant research and development in electroencephalography and neuroscience. Original articles on any aspect of clinical neurophysiology or related work in allied fields are invited for publication.