Mohd Ferdaus Isa , Abd Jabar Nazimi , Roszalina Ramli
{"title":"单纯眼眶爆裂骨折复视的预测因素:14年回顾性分析。","authors":"Mohd Ferdaus Isa , Abd Jabar Nazimi , Roszalina Ramli","doi":"10.1016/j.jormas.2025.102230","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div><span>Orbital fractures are common among </span>maxillofacial injuries<span>. The primary objective of this study was to investigate the clinical and radiographic characteristics of pure orbital blowout fractures<span> (OBFs) and their association with post-traumatic diplopia. The secondary objective was to identify predictors of diplopia in pure OBFs.</span></span></div></div><div><h3>Method</h3><div>This retrospective cross-sectional study analysed the clinical records and computed tomography<span> (CT) data of patients with pure OBFs, treated between 1st January 2008 and 28th February 2022 at a single tertiary trauma centre in Klang Valley, Kuala Lumpur, Malaysia. Data collected included demographic characteristics and the aetiology of OBFs. Specific factors such as fracture site, size, type, and soft tissue involvement were assessed using CT images, which were converted to DICOM format and analysed with the OsiriX v4.1.2 software. Diplopia was measured using the Hess area ratio percentage (HAR%).</span></div></div><div><h3>Results</h3><div>The analysis included records of 70 patients. Motor vehicle accidents (MVAs) accounted for 61.4 % of pure OBFs. The largest fracture observed involved both the orbital floor and the medial wall, with a mean size of 6.40 ± 3.05 cm². Among the patients, 41.6 % had Type 3 fractures, and 50 % (<em>n</em> = 35) had 2-point muscle-soft tissue contact. Fracture size, site, type, and muscle contact were all significantly associated with HAR92 % (<em>p</em><span> < 0.05). Logistic regression revealed that Type 3 fracture was the significant predictor of diplopia (HAR < 92 %), with an odds ratio of 19.80 (95 % CI: 5.76–68.07, </span><em>p</em> < 0.001).</div></div><div><h3>Conclusion</h3><div>Fracture site, size, type, and muscle involvement were important factors associated with diplopia. Among these, Type 3 fractures were identified as the primary predictor of HAR < 92 %.</div></div>","PeriodicalId":55993,"journal":{"name":"Journal of Stomatology Oral and Maxillofacial Surgery","volume":"126 4","pages":"Article 102230"},"PeriodicalIF":2.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictor of diplopia in pure orbital blowout fracture: A 14-year retrospective analysis\",\"authors\":\"Mohd Ferdaus Isa , Abd Jabar Nazimi , Roszalina Ramli\",\"doi\":\"10.1016/j.jormas.2025.102230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div><span>Orbital fractures are common among </span>maxillofacial injuries<span>. The primary objective of this study was to investigate the clinical and radiographic characteristics of pure orbital blowout fractures<span> (OBFs) and their association with post-traumatic diplopia. The secondary objective was to identify predictors of diplopia in pure OBFs.</span></span></div></div><div><h3>Method</h3><div>This retrospective cross-sectional study analysed the clinical records and computed tomography<span> (CT) data of patients with pure OBFs, treated between 1st January 2008 and 28th February 2022 at a single tertiary trauma centre in Klang Valley, Kuala Lumpur, Malaysia. Data collected included demographic characteristics and the aetiology of OBFs. Specific factors such as fracture site, size, type, and soft tissue involvement were assessed using CT images, which were converted to DICOM format and analysed with the OsiriX v4.1.2 software. Diplopia was measured using the Hess area ratio percentage (HAR%).</span></div></div><div><h3>Results</h3><div>The analysis included records of 70 patients. Motor vehicle accidents (MVAs) accounted for 61.4 % of pure OBFs. The largest fracture observed involved both the orbital floor and the medial wall, with a mean size of 6.40 ± 3.05 cm². Among the patients, 41.6 % had Type 3 fractures, and 50 % (<em>n</em> = 35) had 2-point muscle-soft tissue contact. Fracture size, site, type, and muscle contact were all significantly associated with HAR92 % (<em>p</em><span> < 0.05). Logistic regression revealed that Type 3 fracture was the significant predictor of diplopia (HAR < 92 %), with an odds ratio of 19.80 (95 % CI: 5.76–68.07, </span><em>p</em> < 0.001).</div></div><div><h3>Conclusion</h3><div>Fracture site, size, type, and muscle involvement were important factors associated with diplopia. Among these, Type 3 fractures were identified as the primary predictor of HAR < 92 %.</div></div>\",\"PeriodicalId\":55993,\"journal\":{\"name\":\"Journal of Stomatology Oral and Maxillofacial Surgery\",\"volume\":\"126 4\",\"pages\":\"Article 102230\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Stomatology Oral and Maxillofacial Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468785525000199\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stomatology Oral and Maxillofacial Surgery","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468785525000199","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/12 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
摘要
眶部骨折是颌面部外伤中常见的一种。本研究的主要目的是探讨单纯眼眶爆裂骨折(OBFs)的临床和影像学特征及其与创伤后复视的关系。次要目的是确定纯obf复视的预测因素。方法:本回顾性横断面研究分析了2008年1月1日至2022年2月28日在马来西亚吉隆坡巴生谷单一三级创伤中心治疗的纯OBFs患者的临床记录和计算机断层扫描(CT)数据。收集的数据包括人口统计学特征和obf的病因学。使用CT图像评估骨折部位、大小、类型和软组织受损伤等具体因素,并将其转换为DICOM格式,使用OsiriX v4.1.2软件进行分析。复视测量采用赫斯面积比百分比(Hess area ratio percentage, HAR%)。结果:分析纳入70例患者的记录。机动车事故(MVAs)占纯obf的61.4%。最大的骨折累及眶底和内侧壁,平均大小为6.40±3.05 cm²。其中41.6%为3型骨折,50% (n = 35)为2点肌-软组织接触。骨折的大小、部位、类型和肌肉接触均与HAR92%有显著相关(p < 0.05)。Logistic回归分析显示,3型骨折是复视的显著预测因子(HAR < 92%),比值比为19.80 (95% CI: 5.76 ~ 68.07, p < 0.001)。结论:骨折部位、大小、类型和肌肉受累程度是复视发生的重要因素。其中,3型骨折被确定为HAR的主要预测因子< 92%。
Predictor of diplopia in pure orbital blowout fracture: A 14-year retrospective analysis
Introduction
Orbital fractures are common among maxillofacial injuries. The primary objective of this study was to investigate the clinical and radiographic characteristics of pure orbital blowout fractures (OBFs) and their association with post-traumatic diplopia. The secondary objective was to identify predictors of diplopia in pure OBFs.
Method
This retrospective cross-sectional study analysed the clinical records and computed tomography (CT) data of patients with pure OBFs, treated between 1st January 2008 and 28th February 2022 at a single tertiary trauma centre in Klang Valley, Kuala Lumpur, Malaysia. Data collected included demographic characteristics and the aetiology of OBFs. Specific factors such as fracture site, size, type, and soft tissue involvement were assessed using CT images, which were converted to DICOM format and analysed with the OsiriX v4.1.2 software. Diplopia was measured using the Hess area ratio percentage (HAR%).
Results
The analysis included records of 70 patients. Motor vehicle accidents (MVAs) accounted for 61.4 % of pure OBFs. The largest fracture observed involved both the orbital floor and the medial wall, with a mean size of 6.40 ± 3.05 cm². Among the patients, 41.6 % had Type 3 fractures, and 50 % (n = 35) had 2-point muscle-soft tissue contact. Fracture size, site, type, and muscle contact were all significantly associated with HAR92 % (p < 0.05). Logistic regression revealed that Type 3 fracture was the significant predictor of diplopia (HAR < 92 %), with an odds ratio of 19.80 (95 % CI: 5.76–68.07, p < 0.001).
Conclusion
Fracture site, size, type, and muscle involvement were important factors associated with diplopia. Among these, Type 3 fractures were identified as the primary predictor of HAR < 92 %.