脂肪垫征、X 光和计算机断层扫描对肘部创伤的诊断准确性:对治疗选择的影响--一项回顾性研究。

IF 2.9 3区 生物学 Q2 MULTIDISCIPLINARY SCIENCES PeerJ Pub Date : 2025-02-28 eCollection Date: 2025-01-01 DOI:10.7717/peerj.18922
Mustafa Ahmet Afacan, Koray Kaya Kilic, Aytun Temiz, İsmail Tayfur, Fatih Doganay
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引用次数: 0

摘要

简介:识别骨骼损伤显著影响创伤病例患者的预后。本研究旨在比较x线(XR)和计算机断层扫描(CT)对急诊科(ED)患者肘部骨折的诊断准确性。此外,本研究还评估了脂肪垫征象对提高肘关节骨折x射线图像诊断准确性的潜在贡献。第二个目的是评估XR成像在确定肘部创伤患者手术干预必要性方面的准确性。方法:本研究在一家二级医院的急诊科回顾性进行,纳入了2017年1月1日至2020年1月1日期间肘部创伤的患者,这些患者接受了肘关节的x光和CT成像。根据排除标准的应用,根据剩余的图像数据,分析了183例患者。结果:与CT相比,XR对骨折的敏感度为46.9%,特异度为85.9%,阳性预测值为79.3%,阴性预测值为58.4%,曲线下面积为0.664。以XR中脂肪垫征象作为骨折指标,敏感性为60.2%,特异性为81.2%,PPV为78.7%,NPV为63.9%,AUC为0.707。当比较考虑和不考虑脂肪垫标志时获得的auc时发现显着差异(p = 0.039)。对于手术治疗决策,与CT相比,XR的敏感性为50%,特异性为100%,PPV为95%,NPV为100%,AUC为0.750。结论:单纯x光造影不足以发现肘关节骨折并确定是否需要手术治疗。结合脂肪垫征象可提高x光造影诊断的准确性。在高度怀疑骨折的病例中,考虑CT成像对于避免漏诊,预防并发症,有效指导治疗决策至关重要。
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Diagnostic accuracy of fat pad sign, X-ray, and computed tomography in elbow trauma: implications for treatment choices-a retrospective study.

Introduction: Identifying skeletal injuries significantly impacts patient outcomes in trauma cases. This study aims to compare the diagnostic accuracy of X-ray (XR) and computed tomography (CT) in detecting elbow fractures among patients presenting at the emergency department (ED). Additionally, the study assesses the potential contribution of the fat pad sign to enhancing the diagnostic accuracy of XR images in identifying elbow fractures. The secondary aim focused on evaluating the precision of XR imaging in determining the necessity for surgical intervention among patients presenting with elbow trauma.

Methods: Conducted retrospectively at an ED within a secondary hospital, this study included patients with elbow trauma between January 1, 2017, and January 1, 2020, who underwent both XR and CT imaging of the elbow joint. Following the application of exclusion criteria, the analysis comprised 183 patients based on remaining image data.

Results: When comparing XR to CT for fracture detection, XR exhibited a sensitivity of 46.9%, specificity of 85.9%, positive predictive value (PPV) of 79.3%, negative predictive value (NPV) of 58.4%, area under the curve (AUC) of 0.664. Considering the fat pad sign in XR as a fracture indicator, the sensitivity is 60.2%, specificity is 81.2%, PPV is 78.7%, NPV is 63.9% and AUC is 0.707. A significant difference was found when comparing the AUCs obtained with and without considering the fat pad sign (p = 0.039). Regarding surgical treatment decision-making, XR showed a sensitivity of 50%, specificity of 100%, PPV of 95%, NPV of 100%, and an AUC of 0.750 when compared to CT.

Conclusion: The findings indicate that XR alone is insufficient for detecting elbow fractures and determining the need for surgical treatment. Incorporating the fat pad sign improves the diagnostic accuracy of XR. In cases where suspicion of fracture is high, considering CT imaging is crucial to avoid missed diagnoses, prevent complications, and guide treatment decisions effectively.

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来源期刊
PeerJ
PeerJ MULTIDISCIPLINARY SCIENCES-
CiteScore
4.70
自引率
3.70%
发文量
1665
审稿时长
10 weeks
期刊介绍: PeerJ is an open access peer-reviewed scientific journal covering research in the biological and medical sciences. At PeerJ, authors take out a lifetime publication plan (for as little as $99) which allows them to publish articles in the journal for free, forever. PeerJ has 5 Nobel Prize Winners on the Board; they have won several industry and media awards; and they are widely recognized as being one of the most interesting recent developments in academic publishing.
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