{"title":"超声在印度一级创伤中心ED检测颌面部骨折的诊断工具","authors":"Afroz Fatima, Priyanka Modi, Tej Prakash Sinha, Sanjeev Bhoi, Atin Kumar, Sushma Sagar","doi":"10.1002/ajum.70001","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Injuries, especially maxillofacial fractures, pose a significant global health burden exacerbated by increasing traffic activities. Early detection is vital for preventing complications. This study assesses ultrasound's diagnostic efficacy, aiming to improve patient management and minimise treatment delays by detecting maxillofacial fractures promptly and accurately.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>The main aim was to assess point-of-care ultrasound (POCUS) in diagnosing maxillofacial fractures against computed tomography (CT) scans. Secondary goals included identifying ocular injuries, mandibular fractures, assessing probe feasibility and comparing Le Fort classification via ultrasound and CT.</p>\n </section>\n \n <section>\n \n <h3> Methodology</h3>\n \n <p>Between January 2019 and February 2021, 150 trauma patients (136 male) with a mean age of 28.5 ± 5 years (range, 18–62 years) suspected of maxillofacial fractures were enrolled. A trained physician performed facial ultrasound, and findings were documented alongside CT scan results. Using the SPSS software, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy of POCUS against CT scans were analysed.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Among 150 patients, CT scans diagnosed 137 with maxillofacial fractures, primarily due to road traffic accidents. Zygomatic fractures were most common, followed by nasal bone and mandibular parasymphysial fractures. POCUS exhibited high sensitivity (98.9%), specificity (99.1%), PPV (92%), and NPV (99.8%) for overall facial fractures, varying by bone. Associated occult ocular injuries occurred in two patients. Sensitivity and specificity were high for mandibular fractures. 5–10 MHz frequency linear probe, footprint-50 mm was optimal for midfacial bones, but Le Fort fractures could not be reliably identified using ultrasound.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The study underscores the value of POCUS in the Emergency Department for detecting maxillofacial fractures, despite limitations such as anatomical challenges. POCUS showed high diagnostic accuracy, emphasising its potential in clinical practice, requiring further validation and exploration.</p>\n </section>\n </div>","PeriodicalId":36517,"journal":{"name":"Australasian Journal of Ultrasound in Medicine","volume":"28 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ultrasound as a Diagnostic Tool in Detection of Maxillofacial Fractures at Level 1 Trauma Centre ED in India\",\"authors\":\"Afroz Fatima, Priyanka Modi, Tej Prakash Sinha, Sanjeev Bhoi, Atin Kumar, Sushma Sagar\",\"doi\":\"10.1002/ajum.70001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Injuries, especially maxillofacial fractures, pose a significant global health burden exacerbated by increasing traffic activities. Early detection is vital for preventing complications. This study assesses ultrasound's diagnostic efficacy, aiming to improve patient management and minimise treatment delays by detecting maxillofacial fractures promptly and accurately.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The main aim was to assess point-of-care ultrasound (POCUS) in diagnosing maxillofacial fractures against computed tomography (CT) scans. Secondary goals included identifying ocular injuries, mandibular fractures, assessing probe feasibility and comparing Le Fort classification via ultrasound and CT.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methodology</h3>\\n \\n <p>Between January 2019 and February 2021, 150 trauma patients (136 male) with a mean age of 28.5 ± 5 years (range, 18–62 years) suspected of maxillofacial fractures were enrolled. A trained physician performed facial ultrasound, and findings were documented alongside CT scan results. Using the SPSS software, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy of POCUS against CT scans were analysed.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Among 150 patients, CT scans diagnosed 137 with maxillofacial fractures, primarily due to road traffic accidents. Zygomatic fractures were most common, followed by nasal bone and mandibular parasymphysial fractures. POCUS exhibited high sensitivity (98.9%), specificity (99.1%), PPV (92%), and NPV (99.8%) for overall facial fractures, varying by bone. Associated occult ocular injuries occurred in two patients. Sensitivity and specificity were high for mandibular fractures. 5–10 MHz frequency linear probe, footprint-50 mm was optimal for midfacial bones, but Le Fort fractures could not be reliably identified using ultrasound.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The study underscores the value of POCUS in the Emergency Department for detecting maxillofacial fractures, despite limitations such as anatomical challenges. POCUS showed high diagnostic accuracy, emphasising its potential in clinical practice, requiring further validation and exploration.</p>\\n </section>\\n </div>\",\"PeriodicalId\":36517,\"journal\":{\"name\":\"Australasian Journal of Ultrasound in Medicine\",\"volume\":\"28 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australasian Journal of Ultrasound in Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ajum.70001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Journal of Ultrasound in Medicine","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ajum.70001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
背景伤害,特别是颌面骨折,造成了严重的全球健康负担,而交通活动的增加加剧了这一负担。早期发现对预防并发症至关重要。本研究评估超声诊断的有效性,旨在通过及时准确地检测颌面部骨折,改善患者管理,最大限度地减少治疗延误。目的比较点护理超声(POCUS)与CT (computer tomography, CT)扫描对颌面部骨折的诊断价值。次要目标包括识别眼部损伤、下颌骨折、评估探头可行性、比较超声和CT Le Fort分类。方法2019年1月至2021年2月,纳入150例疑似颌面部骨折的创伤患者(136例男性),平均年龄28.5±5岁(18-62岁)。一位训练有素的医生进行了面部超声检查,并将检查结果与CT扫描结果一起记录下来。采用SPSS软件分析POCUS对CT扫描的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)及诊断准确性。结果在150例患者中,CT扫描诊断出137例颌面部骨折,主要由道路交通事故引起。颧骨骨折最常见,其次是鼻骨和下颌副膈骨骨折。POCUS对面部整体骨折的敏感性(98.9%)、特异性(99.1%)、PPV(92%)和NPV(99.8%)均较高,随骨不同而不同。2例患者发生隐蔽性眼损伤。该方法对下颌骨骨折的敏感性和特异性均较高。5-10 MHz频率线性探头,足迹-50 mm是面中骨的最佳选择,但Le Fort骨折不能可靠地使用超声识别。结论尽管存在解剖学上的局限性,但该研究强调了POCUS在急诊科检测颌面部骨折的价值。POCUS具有较高的诊断准确性,强调其在临床实践中的潜力,需要进一步的验证和探索。
Ultrasound as a Diagnostic Tool in Detection of Maxillofacial Fractures at Level 1 Trauma Centre ED in India
Background
Injuries, especially maxillofacial fractures, pose a significant global health burden exacerbated by increasing traffic activities. Early detection is vital for preventing complications. This study assesses ultrasound's diagnostic efficacy, aiming to improve patient management and minimise treatment delays by detecting maxillofacial fractures promptly and accurately.
Objective
The main aim was to assess point-of-care ultrasound (POCUS) in diagnosing maxillofacial fractures against computed tomography (CT) scans. Secondary goals included identifying ocular injuries, mandibular fractures, assessing probe feasibility and comparing Le Fort classification via ultrasound and CT.
Methodology
Between January 2019 and February 2021, 150 trauma patients (136 male) with a mean age of 28.5 ± 5 years (range, 18–62 years) suspected of maxillofacial fractures were enrolled. A trained physician performed facial ultrasound, and findings were documented alongside CT scan results. Using the SPSS software, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy of POCUS against CT scans were analysed.
Results
Among 150 patients, CT scans diagnosed 137 with maxillofacial fractures, primarily due to road traffic accidents. Zygomatic fractures were most common, followed by nasal bone and mandibular parasymphysial fractures. POCUS exhibited high sensitivity (98.9%), specificity (99.1%), PPV (92%), and NPV (99.8%) for overall facial fractures, varying by bone. Associated occult ocular injuries occurred in two patients. Sensitivity and specificity were high for mandibular fractures. 5–10 MHz frequency linear probe, footprint-50 mm was optimal for midfacial bones, but Le Fort fractures could not be reliably identified using ultrasound.
Conclusion
The study underscores the value of POCUS in the Emergency Department for detecting maxillofacial fractures, despite limitations such as anatomical challenges. POCUS showed high diagnostic accuracy, emphasising its potential in clinical practice, requiring further validation and exploration.