鼻中隔粘膜的计算机断层评估:厚度分级标准的建立。

Ahmad Alroqi, Fadi Mamdouh Arafeh, Mohammed Alyousef, Saud Alromaih, Saad Alsaleh
{"title":"鼻中隔粘膜的计算机断层评估:厚度分级标准的建立。","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. 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. 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\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ear, nose, & throat journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/01455613251332156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ear, nose, & throat journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/01455613251332156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信