{"title":"预测肱骨近端骨折的机械并发症:计算机断层扫描 Hounsfield 单位是答案吗?","authors":"Nina D Fisher, Andrew S Bi, Kenneth A Egol","doi":"10.5435/JAAOS-D-24-00594","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The purpose was to determine whether computed tomography (CT) Hounsfield units (HU) as a proxy for bone quality can predict postoperative complications following surgical treatment of proximal humerus fractures.</p><p><strong>Methods: </strong>Sixty-six patients with 2-, 3-, or 4-part proximal humerus fractures who underwent surgical fixation at single institution and had complete radiographic data available were included. Radiographic measurements included the deltoid tuberosity index (DTI) on preoperative anterior-posterior shoulder radiographs, and the HU value from the surgical proximal humerus was determined by measuring the humeral head at the midaxial/coronal/sagittal CT image using a circle-type region of interest (≥35 mm2). Postoperative complications recorded were implant failure, development of osteonecrosis, nonunion, and acute periprosthetic fracture. Patients with and without complications were statistically compared, and binary logistic regression was performed to determine whether preoperative proximal humerus CT HU were predictive of complications.</p><p><strong>Results: </strong>Eight patients (12.1%) developed 11 overall complications, with three patients experiencing multiple complications each. Complications included osteonecrosis (4), implant failure (5), nonunion (1), and acute periprosthetic fracture (1). No difference was observed in demographics or Neer or AO/OTA classification between those with and without complications. Patients with complications had markedly lower DTI and overall HU as well as HU in the coronal and sagittal planes. Regression analysis for average DTI demonstrated a higher DTI and had a 10 times decreased risk of complication (P = 0.040, odds ratio = -10.5, 95% confidence interval, 0.000 to 0.616). Regression analysis for average total HU also found a higher HU associated with a decreased risk of complications (P = 0.034, odds ratio = -0.020, 95% confidence interval, 0.980 to 0.962). Logistic regression analysis, including age, age-adjusted Charlson Comorbidity Index, mean DTI, and mean total HU, only found mean total HU to be notable within the model.</p><p><strong>Discussion: </strong>CT HU may identify patients with poorer bone quality and thus help predict postoperative complications.</p><p><strong>Level of evidence: </strong>Diagnostic Level III.</p>","PeriodicalId":51098,"journal":{"name":"Journal of the American Academy of Orthopaedic Surgeons","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting Proximal Humerus Fracture Mechanical Complications: Are Computed Tomography Hounsfield Units the Answer?\",\"authors\":\"Nina D Fisher, Andrew S Bi, Kenneth A Egol\",\"doi\":\"10.5435/JAAOS-D-24-00594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The purpose was to determine whether computed tomography (CT) Hounsfield units (HU) as a proxy for bone quality can predict postoperative complications following surgical treatment of proximal humerus fractures.</p><p><strong>Methods: </strong>Sixty-six patients with 2-, 3-, or 4-part proximal humerus fractures who underwent surgical fixation at single institution and had complete radiographic data available were included. Radiographic measurements included the deltoid tuberosity index (DTI) on preoperative anterior-posterior shoulder radiographs, and the HU value from the surgical proximal humerus was determined by measuring the humeral head at the midaxial/coronal/sagittal CT image using a circle-type region of interest (≥35 mm2). Postoperative complications recorded were implant failure, development of osteonecrosis, nonunion, and acute periprosthetic fracture. Patients with and without complications were statistically compared, and binary logistic regression was performed to determine whether preoperative proximal humerus CT HU were predictive of complications.</p><p><strong>Results: </strong>Eight patients (12.1%) developed 11 overall complications, with three patients experiencing multiple complications each. Complications included osteonecrosis (4), implant failure (5), nonunion (1), and acute periprosthetic fracture (1). No difference was observed in demographics or Neer or AO/OTA classification between those with and without complications. Patients with complications had markedly lower DTI and overall HU as well as HU in the coronal and sagittal planes. Regression analysis for average DTI demonstrated a higher DTI and had a 10 times decreased risk of complication (P = 0.040, odds ratio = -10.5, 95% confidence interval, 0.000 to 0.616). Regression analysis for average total HU also found a higher HU associated with a decreased risk of complications (P = 0.034, odds ratio = -0.020, 95% confidence interval, 0.980 to 0.962). Logistic regression analysis, including age, age-adjusted Charlson Comorbidity Index, mean DTI, and mean total HU, only found mean total HU to be notable within the model.</p><p><strong>Discussion: </strong>CT HU may identify patients with poorer bone quality and thus help predict postoperative complications.</p><p><strong>Level of evidence: </strong>Diagnostic Level III.</p>\",\"PeriodicalId\":51098,\"journal\":{\"name\":\"Journal of the American Academy of Orthopaedic Surgeons\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American Academy of Orthopaedic Surgeons\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5435/JAAOS-D-24-00594\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Academy of Orthopaedic Surgeons","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5435/JAAOS-D-24-00594","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
摘要
引言目的是确定计算机断层扫描(CT)Hounsfield 单位(HU)作为骨质的替代指标能否预测肱骨近端骨折手术治疗后的并发症:方法: 纳入了66例在单一机构接受手术固定且有完整影像学数据的肱骨近端2、3或4部分骨折患者。放射学测量包括术前肩关节前后位X光片上的三角结节指数(DTI),以及手术肱骨近端HU值,该值是通过使用圆圈型感兴趣区(≥35平方毫米)测量中轴/冠状/矢状面CT图像上的肱骨头来确定的。记录的术后并发症包括植入失败、骨坏死、骨不连和急性假体周围骨折。对有并发症和无并发症的患者进行统计比较,并进行二元逻辑回归以确定术前肱骨近端CT HU是否可预测并发症:结果:8名患者(12.1%)出现了11种并发症,其中3名患者出现了多种并发症。并发症包括骨坏死(4例)、植入失败(5例)、不愈合(1例)和急性假体周围骨折(1例)。有并发症和没有并发症的患者在人口统计学、Neer或AO/OTA分类方面没有差异。并发症患者的 DTI 和总 HU 值以及冠状面和矢状面的 HU 值明显较低。平均DTI回归分析表明,DTI越高,并发症风险降低10倍(P = 0.040,几率比 = -10.5,95%置信区间,0.000至0.616)。对平均总 HU 值的回归分析也发现,HU 值越高,并发症风险越低(P = 0.034,几率比 = -0.020,95% 置信区间,0.980 至 0.962)。逻辑回归分析包括年龄、年龄调整后的Charlson合并症指数、平均DTI和平均总HU,仅发现平均总HU在模型中具有显著性:讨论:CT HU可识别骨质较差的患者,从而帮助预测术后并发症:证据等级:诊断 III 级。
Predicting Proximal Humerus Fracture Mechanical Complications: Are Computed Tomography Hounsfield Units the Answer?
Introduction: The purpose was to determine whether computed tomography (CT) Hounsfield units (HU) as a proxy for bone quality can predict postoperative complications following surgical treatment of proximal humerus fractures.
Methods: Sixty-six patients with 2-, 3-, or 4-part proximal humerus fractures who underwent surgical fixation at single institution and had complete radiographic data available were included. Radiographic measurements included the deltoid tuberosity index (DTI) on preoperative anterior-posterior shoulder radiographs, and the HU value from the surgical proximal humerus was determined by measuring the humeral head at the midaxial/coronal/sagittal CT image using a circle-type region of interest (≥35 mm2). Postoperative complications recorded were implant failure, development of osteonecrosis, nonunion, and acute periprosthetic fracture. Patients with and without complications were statistically compared, and binary logistic regression was performed to determine whether preoperative proximal humerus CT HU were predictive of complications.
Results: Eight patients (12.1%) developed 11 overall complications, with three patients experiencing multiple complications each. Complications included osteonecrosis (4), implant failure (5), nonunion (1), and acute periprosthetic fracture (1). No difference was observed in demographics or Neer or AO/OTA classification between those with and without complications. Patients with complications had markedly lower DTI and overall HU as well as HU in the coronal and sagittal planes. Regression analysis for average DTI demonstrated a higher DTI and had a 10 times decreased risk of complication (P = 0.040, odds ratio = -10.5, 95% confidence interval, 0.000 to 0.616). Regression analysis for average total HU also found a higher HU associated with a decreased risk of complications (P = 0.034, odds ratio = -0.020, 95% confidence interval, 0.980 to 0.962). Logistic regression analysis, including age, age-adjusted Charlson Comorbidity Index, mean DTI, and mean total HU, only found mean total HU to be notable within the model.
Discussion: CT HU may identify patients with poorer bone quality and thus help predict postoperative complications.
期刊介绍:
The Journal of the American Academy of Orthopaedic Surgeons was established in the fall of 1993 by the Academy in response to its membership’s demand for a clinical review journal. Two issues were published the first year, followed by six issues yearly from 1994 through 2004. In September 2005, JAAOS began publishing monthly issues.
Each issue includes richly illustrated peer-reviewed articles focused on clinical diagnosis and management. Special features in each issue provide commentary on developments in pharmacotherapeutics, materials and techniques, and computer applications.