{"title":"超声瞳孔评估系统综述","authors":"Gunaseelan Rajendran , Sasikumar Mahalingam , Anitha Ramkumar , Yuvaraj Krishnamoorthy , P.T. Kumaresh , Vijayanthi Vijayan , Rajkumar Elanjaeran , Rahini Kannan , Sathya Prakasam , Anas Salih","doi":"10.1016/j.jemrpt.2025.100158","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The conventional clinical assessment of pupils & pupillometers has shown very poor interrater reliability. As a promising alternative, bedside ultrasound has emerged for pupillary assessment.</div></div><div><h3>Objectives</h3><div>Thus, we conducted a systematic review to assess ultrasound's utility and comparative effectiveness in pupillary assessment.</div></div><div><h3>Methods</h3><div>This systematic review involved searching three major databases—PubMed, Embase, and Scopus—from inception to April 2024, using predefined search terms. Inclusion criteria comprised adult patients over 18 years undergoing ultrasound for pupillary assessment, with comparison against standard methods such as pupillometry or clinical examination. Screening and data extraction were independently conducted by two investigators (GR, SM), with data appraisal utilizing the QUADAS-2 Risk of Bias assessment tool (CRD42024540402).</div></div><div><h3>Results</h3><div>Among 556 identified studies, seven met inclusion criteria, encompassing 865 patients and 1141 ultrasonographic pupillary assessments. Six of these studies reported a favourable correlation or association between ultrasound and pupillometer or clinical examination. Significant findings included a substantial correlation between ultrasound and infrared video pupillometry by Farina et al. (R = 0.831, p < 0.01), by Fu et al. (Bland-Altman agreement −0.069) & Modi et al. (Interclass Correlation Coefficient = 0.93). Diagnostic accuracy for identifying Relative Afferent Pupillary Defect (RAPD) had high sensitivity and specificity reported by Ramamoorthy et al. and Schmidt et al.</div></div><div><h3>Conclusion</h3><div>Our systematic review demonstrates a significant correlation/association between ultrasound and pupillometer or clinical examination for pupillary assessment. However, current evidence remains limited, and further high-quality research is needed before recommending routine use or claiming superiority over pupillometry or standard clinical assessments.</div></div>","PeriodicalId":73546,"journal":{"name":"JEM reports","volume":"4 2","pages":"Article 100158"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ultrasound for Pupillary Assessment - A Systematic Review\",\"authors\":\"Gunaseelan Rajendran , Sasikumar Mahalingam , Anitha Ramkumar , Yuvaraj Krishnamoorthy , P.T. Kumaresh , Vijayanthi Vijayan , Rajkumar Elanjaeran , Rahini Kannan , Sathya Prakasam , Anas Salih\",\"doi\":\"10.1016/j.jemrpt.2025.100158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The conventional clinical assessment of pupils & pupillometers has shown very poor interrater reliability. As a promising alternative, bedside ultrasound has emerged for pupillary assessment.</div></div><div><h3>Objectives</h3><div>Thus, we conducted a systematic review to assess ultrasound's utility and comparative effectiveness in pupillary assessment.</div></div><div><h3>Methods</h3><div>This systematic review involved searching three major databases—PubMed, Embase, and Scopus—from inception to April 2024, using predefined search terms. Inclusion criteria comprised adult patients over 18 years undergoing ultrasound for pupillary assessment, with comparison against standard methods such as pupillometry or clinical examination. Screening and data extraction were independently conducted by two investigators (GR, SM), with data appraisal utilizing the QUADAS-2 Risk of Bias assessment tool (CRD42024540402).</div></div><div><h3>Results</h3><div>Among 556 identified studies, seven met inclusion criteria, encompassing 865 patients and 1141 ultrasonographic pupillary assessments. Six of these studies reported a favourable correlation or association between ultrasound and pupillometer or clinical examination. Significant findings included a substantial correlation between ultrasound and infrared video pupillometry by Farina et al. (R = 0.831, p < 0.01), by Fu et al. (Bland-Altman agreement −0.069) & Modi et al. (Interclass Correlation Coefficient = 0.93). Diagnostic accuracy for identifying Relative Afferent Pupillary Defect (RAPD) had high sensitivity and specificity reported by Ramamoorthy et al. and Schmidt et al.</div></div><div><h3>Conclusion</h3><div>Our systematic review demonstrates a significant correlation/association between ultrasound and pupillometer or clinical examination for pupillary assessment. 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引用次数: 0
摘要
背景小学生的常规临床评估;瞳孔计显示出非常差的互传可靠性。作为一种有希望的替代方法,床边超声已经出现在瞳孔评估中。因此,我们进行了一项系统的综述,以评估超声在瞳孔评估中的效用和比较有效性。方法系统检索pubmed、Embase和scopus三个主要数据库,检索时间从数据库建立到2024年4月。纳入标准包括18岁以上接受超声瞳孔评估的成年患者,并与标准方法(如瞳孔测量或临床检查)进行比较。筛选和数据提取由两名研究者(GR, SM)独立进行,数据评估使用QUADAS-2偏倚风险评估工具(CRD42024540402)。结果在556项研究中,有7项符合纳入标准,包括865例患者和1141例超声瞳孔评估。其中六项研究报告了超声与瞳孔计或临床检查之间的良好相关性或相关性。Farina等人的重要发现包括超声和红外视频瞳孔测量之间存在显著相关性(R = 0.831, p <;0.01),由Fu等人(Bland-Altman协议−0.069)&;Modi等(类间相关系数= 0.93)。Ramamoorthy等和Schmidt等报道,相对传入瞳孔缺损(Relative aff传入Pupillary Defect, RAPD)的诊断准确性具有很高的敏感性和特异性。结论我们的系统综述表明,超声与瞳孔计或临床检查在瞳孔评估方面具有显著的相关性。然而,目前的证据仍然有限,在推荐常规使用或声称优于瞳孔测量或标准临床评估之前,需要进一步的高质量研究。
Ultrasound for Pupillary Assessment - A Systematic Review
Background
The conventional clinical assessment of pupils & pupillometers has shown very poor interrater reliability. As a promising alternative, bedside ultrasound has emerged for pupillary assessment.
Objectives
Thus, we conducted a systematic review to assess ultrasound's utility and comparative effectiveness in pupillary assessment.
Methods
This systematic review involved searching three major databases—PubMed, Embase, and Scopus—from inception to April 2024, using predefined search terms. Inclusion criteria comprised adult patients over 18 years undergoing ultrasound for pupillary assessment, with comparison against standard methods such as pupillometry or clinical examination. Screening and data extraction were independently conducted by two investigators (GR, SM), with data appraisal utilizing the QUADAS-2 Risk of Bias assessment tool (CRD42024540402).
Results
Among 556 identified studies, seven met inclusion criteria, encompassing 865 patients and 1141 ultrasonographic pupillary assessments. Six of these studies reported a favourable correlation or association between ultrasound and pupillometer or clinical examination. Significant findings included a substantial correlation between ultrasound and infrared video pupillometry by Farina et al. (R = 0.831, p < 0.01), by Fu et al. (Bland-Altman agreement −0.069) & Modi et al. (Interclass Correlation Coefficient = 0.93). Diagnostic accuracy for identifying Relative Afferent Pupillary Defect (RAPD) had high sensitivity and specificity reported by Ramamoorthy et al. and Schmidt et al.
Conclusion
Our systematic review demonstrates a significant correlation/association between ultrasound and pupillometer or clinical examination for pupillary assessment. However, current evidence remains limited, and further high-quality research is needed before recommending routine use or claiming superiority over pupillometry or standard clinical assessments.