Ahmad Alroqi, Fadi Mamdouh Arafeh, Mohammed Alyousef, Saud Alromaih, Saad Alsaleh
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Secondary outcomes included demographic predictors of intraoperative complications.</p><p><strong>Results: </strong>Our study determined that a 3.65 mm cutoff in CT scans could differentiate between \"thin\" and \"thick\" NSMF with 80.9% sensitivity and 78.5% specificity. The average age of participants was 31.99 years. No gender-based differences were observed in the subjective reporting of nasal thickness during surgery. Logistic regression identified age as a significant predictor for the occurrence of tears during surgery.</p><p><strong>Conclusions: </strong>The research validates the use of a 3.65 mm CT scan cutoff for preoperative NSMF thickness classification, correlating with surgical findings and demonstrating high accuracy. These findings suggest the potential for CT measurements to become a routine part of preoperative nasal surgery planning, improving outcomes and reducing the risk of complications. Further investigation into direct measurement techniques for septal thickness is recommended to enhance surgical precision.</p>","PeriodicalId":93984,"journal":{"name":"Ear, nose, & throat journal","volume":" ","pages":"1455613251332156"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computed Tomography Assessment of Nasal Septal Mucosa: Establishing Criteria for Thickness Classification.\",\"authors\":\"Ahmad Alroqi, Fadi Mamdouh Arafeh, Mohammed Alyousef, Saud Alromaih, Saad Alsaleh\",\"doi\":\"10.1177/01455613251332156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To establish a standardized method for classifying nasal septal mucoperichondrial flap (NSMF) thickness using computed tomography (CT) scans and correlate preoperative measurements with intraoperative findings to improve surgical planning and outcomes.</p><p><strong>Design: </strong>A retrospective cohort study.</p><p><strong>Setting: </strong>A private hospital.</p><p><strong>Participants: </strong>A total of 196 adult patients (mean age 31.99 years) who underwent septoplasty between April 2021 and February 2024.</p><p><strong>Main outcome measures: </strong>The primary outcomes included the optimal CT thickness cutoff to differentiate NSMF as \\\"thin\\\" or \\\"thick\\\" and its sensitivity and specificity. 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引用次数: 0
摘要
目的:建立一种标准化的方法,利用计算机断层扫描(CT)对鼻中隔粘骨膜瓣(NSMF)厚度进行分类,并将术前测量结果与术中发现相关联,以改善手术计划和预后。设计:回顾性队列研究。环境:私立医院。参与者:共有196名成年患者(平均年龄31.99岁)在2021年4月至2024年2月期间接受了鼻中隔成形术。主要结局指标:主要结局包括区分NSMF为“薄”或“厚”的最佳CT厚度临界值及其敏感性和特异性。次要结局包括术中并发症的人口学预测因子。结果:我们的研究确定,CT扫描中3.65 mm的分界线可以区分“薄”和“厚”的NSMF,敏感性为80.9%,特异性为78.5%。参与者的平均年龄为31.99岁。术中鼻厚度主观报告无性别差异。Logistic回归发现年龄是手术中发生撕裂的重要预测因子。结论:本研究验证了使用3.65 mm CT扫描截止线进行术前NSMF厚度分类,与手术结果相关,具有较高的准确性。这些发现表明,CT测量有可能成为术前鼻手术计划的常规部分,从而改善结果并降低并发症的风险。建议进一步研究直接测量鼻中隔厚度的技术,以提高手术精度。
Computed Tomography Assessment of Nasal Septal Mucosa: Establishing Criteria for Thickness Classification.
Objectives: To establish a standardized method for classifying nasal septal mucoperichondrial flap (NSMF) thickness using computed tomography (CT) scans and correlate preoperative measurements with intraoperative findings to improve surgical planning and outcomes.
Design: A retrospective cohort study.
Setting: A private hospital.
Participants: A total of 196 adult patients (mean age 31.99 years) who underwent septoplasty between April 2021 and February 2024.
Main outcome measures: The primary outcomes included the optimal CT thickness cutoff to differentiate NSMF as "thin" or "thick" and its sensitivity and specificity. Secondary outcomes included demographic predictors of intraoperative complications.
Results: Our study determined that a 3.65 mm cutoff in CT scans could differentiate between "thin" and "thick" NSMF with 80.9% sensitivity and 78.5% specificity. The average age of participants was 31.99 years. No gender-based differences were observed in the subjective reporting of nasal thickness during surgery. Logistic regression identified age as a significant predictor for the occurrence of tears during surgery.
Conclusions: The research validates the use of a 3.65 mm CT scan cutoff for preoperative NSMF thickness classification, correlating with surgical findings and demonstrating high accuracy. These findings suggest the potential for CT measurements to become a routine part of preoperative nasal surgery planning, improving outcomes and reducing the risk of complications. Further investigation into direct measurement techniques for septal thickness is recommended to enhance surgical precision.