上颌窦的体积分析和多探测器计算机断层扫描(MDCT)对各种鼻窦解剖变异的评估及其与慢性鼻窦炎的关系。

IF 1.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal of Clinical Imaging Science Pub Date : 2024-11-18 eCollection Date: 2024-01-01 DOI:10.25259/JCIS_124_2024
Aman Taneja, Ankur Malhotra, Shruti Chandak, Swasti Jain, Arpit Taneja, Deepti Arora, Swarna Laxmi, Aishwarya Pandey
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引用次数: 0

摘要

目的:本研究旨在评估上颌窦体积与多探测器计算机断层扫描检测到的各种鼻窦解剖变异之间的关系,以及它们与慢性鼻窦炎(CRS)的关系。材料与方法:对103例慢性鼻窦症状患者(病例)和50例无症状患者(对照组)进行病例对照研究。使用128层计算机断层扫描仪测量上颌窦体积并评估解剖变异,如鼻中隔偏曲(DNS)、甲壳大疱(CB)和鼻窦细胞聚集。排除标准包括既往鼻窦手术、恶性肿瘤、颅面创伤和缺乏同意。对连续变量采用t检验,对分类数据采用卡方检验进行统计分析。利用接收机工作特性曲线分析确定预测CRS的DNS角度截止点。结果:病例中解剖变异明显高于对照组。左侧DNS在病例中占主导地位,而右侧DNS在对照组中更常见。患者的平均DNS偏差角(10.84°±7.87)明显大于对照组(5.55°±5.02)。与对照组(分别为18.57 cc和18.46 cc)相比,上颌窦体积明显较小(左侧为9.69 cc,右侧为10.23 cc),女性患者的体积小于男性。51.5%的病例检测到鼻艾格细胞,而对照组为8.0%。在CB和对侧DNS之间发现了强烈的关联。预测CRS的最佳DNS偏差角截止值为12.7°。结论:本研究表明CRS与上颌窦体积较小有关,男性上颌窦体积大于女性。一个DNS和较大的偏离角度与窦炎的高风险相关,角度超过12.7°预示着病情的发作。CB细胞和鼻窦聚集细胞的存在也促进了CRS的发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Volumetric analysis of maxillary sinus and assessment of various sinonasal anatomic variants on multi-detector computed tomography (MDCT) and their association with chronic rhinosinusitis.

Objectives: The study aimed to evaluate the relationship between maxillary sinus volume and various sinonasal anatomical variants, as detected by multi-detector computed tomography, and their associations with chronic rhinosinusitis (CRS).

Material and methods: A case-control study was conducted with 103 patients presenting with chronic sinonasal symptoms (cases) and 50 asymptomatic individuals (controls). A 128-slice computed tomography scanner was used to measure maxillary sinus volume and assess anatomical variants, such as a deviated nasal septum (DNS), concha bullosa (CB), and agger nasi cells. Exclusion criteria included previous sinonasal surgery, malignancy, craniofacial trauma, and lack of consent. Statistical analysis was performed using t-tests for continuous variables and Chi-square tests for categorical data. Receiver operating characteristic curve analysis was utilized to determine a DNS angle cutoff for predicting CRS.

Results: Anatomical variants were significantly more frequent in cases than in controls. The left-sided DNS was predominant in cases, while the right-sided DNS was more common in controls. The mean DNS deviation angle was notably larger in cases (10.84° ± 7.87) than in controls (5.55° ± 5.02). Maxillary sinus volume was significantly smaller in cases (9.69 cc on the left side and 10.23 cc on the right side) compared to controls (18.57 cc and 18.46 cc, respectively), with female patients exhibiting smaller volumes than males. Agger nasi cells were detected in 51.5% of cases versus 8.0% of controls. A strong association was found between CB and contralateral DNS. The optimal DNS deviation angle cutoff for predicting CRS was identified as 12.7°.

Conclusion: This study shows that CRS is linked to smaller maxillary sinus volumes, with males having larger sinus volumes than females. A DNS and larger deviation angles were associated with a higher risk of sinus inflammation, with angles over 12.7° predicting the onset of the condition. The presence of CB and agger nasi cells also contributed to the development of CRS.

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来源期刊
Journal of Clinical Imaging Science
Journal of Clinical Imaging Science RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
2.00
自引率
0.00%
发文量
65
期刊介绍: The Journal of Clinical Imaging Science (JCIS) is an open access peer-reviewed journal committed to publishing high-quality articles in the field of Imaging Science. The journal aims to present Imaging Science and relevant clinical information in an understandable and useful format. The journal is owned and published by the Scientific Scholar. Audience Our audience includes Radiologists, Researchers, Clinicians, medical professionals and students. Review process JCIS has a highly rigorous peer-review process that makes sure that manuscripts are scientifically accurate, relevant, novel and important. Authors disclose all conflicts, affiliations and financial associations such that the published content is not biased.
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