Suppr超能文献

多发性骨髓瘤椎体骨折的放射学和临床特征

Radiologic and clinical characteristics of vertebral fractures in multiple myeloma.

作者信息

Miller Jacob A, Bowen Andrew, Morisada Megan V, Margetis Konstantinos, Lubelski Daniel, Lieberman Isador H, Benzel Edward C, Mroz Thomas E

机构信息

Cleveland Clinic Center for Spine Health, Cleveland Clinic, 9500 Euclid Ave., S-80, Cleveland, OH 44195, USA; Cleveland Clinic Lerner College of Medicine, 9500 Euclid Ave., NA-24, Cleveland, OH, 44195, USA.

Cleveland Clinic Center for Spine Health, Cleveland Clinic, 9500 Euclid Ave., S-80, Cleveland, OH 44195, USA; Department of Neurological Surgery, Cleveland Clinic, 9500 Euclid Ave., S-80, Cleveland, OH 44195, USA.

出版信息

Spine J. 2015 Oct 1;15(10):2149-56. doi: 10.1016/j.spinee.2015.05.026. Epub 2015 May 22.

Abstract

BACKGROUND CONTEXT

Nearly 80% of patients with newly diagnosed multiple myeloma (MM) have bony lesions on magnetic resonance imaging (MRI). These lesions may progress to debilitating vertebral fractures. No studies have quantitatively characterized these fractures or identified predictors of fracture burden and severity.

PURPOSE

The purpose of this study was to characterize the clinical and radiologic features of these fractures and to identify independent predictors of fracture burden and severity.

STUDY DESIGN/SETTING: A consecutive retrospective chart review was conducted from January 2007 to December 2013 at a single tertiary-care institution.

PATIENT SAMPLE

Patients with diagnoses of both MM and vertebral fracture were included in this study. Those with a history of non-MM vertebral fracture were excluded.

OUTCOME MEASURES

The primary outcome measure was height loss of the fractured vertebral body, whereas secondary outcome measures included number of fractures and morphology.

METHODS

Data were collected at fracture presentation. Radiologic data were obtained from T1-weighted MRI. Anterior, middle, and posterior vertebral body height losses were recorded, and a Genant grading was made. Multivariable Poisson and logistic regression were performed to identify predictors of fracture burden and severity.

RESULTS

Among 50 patients presenting with vertebral fracture, 124 fractures were observed. The majority (76%) of these patients did not have a previous MM diagnosis. The most common presenting symptom was back pain (84%), followed by neurologic (54%) and constitutional (50%) symptoms. The mean anterior, middle, and posterior height losses of the fractured vertebral body were 30%, 37%, and 16%, respectively. Twenty percent of fractures were Genant Grade 1 (mild), whereas 32% and 48% were grades 2 (moderate) and 3 (severe). Fifty-five percent of fractures were biconcave, whereas 32% and 13% were wedge and crush fractures. Lower body mass index and albumin and increased myeloma protein, light chains, and creatinine predicted an increased number of fractures at presentation. Increased β2-microglobulin and creatinine predicted more severe vertebral fractures.

CONCLUSIONS

In the present study, 124 fractures were observed among 50 patients. These fractures were generally severe, biconcave, and in the thoracic spine. Laboratory signs of advanced MM predict greater fracture burden and severity. In the future, monitoring of these predictors may raise suspicion for an MM-associated vertebral fracture.

摘要

背景

近80%新诊断的多发性骨髓瘤(MM)患者在磁共振成像(MRI)上有骨病变。这些病变可能进展为导致身体衰弱的椎体骨折。尚无研究对这些骨折进行定量描述,或确定骨折负荷及严重程度的预测因素。

目的

本研究旨在描述这些骨折的临床和放射学特征,并确定骨折负荷及严重程度的独立预测因素。

研究设计/地点:于2007年1月至2013年12月在一家三级医疗机构进行了连续回顾性病历审查。

患者样本

本研究纳入了诊断为MM且伴有椎体骨折的患者。排除有非MM椎体骨折病史的患者。

观察指标

主要观察指标为骨折椎体的高度丢失,次要观察指标包括骨折数量和形态。

方法

在骨折初诊时收集数据。放射学数据来自T1加权MRI。记录椎体前、中、后高度丢失情况,并进行Genant分级。进行多变量泊松回归和逻辑回归以确定骨折负荷及严重程度的预测因素。

结果

在50例椎体骨折患者中,共观察到124处骨折。这些患者中大多数(76%)既往未诊断为MM。最常见的首发症状是背痛(84%),其次是神经症状(54%)和全身症状(50%)。骨折椎体的平均前、中、后高度丢失分别为30%、37%和16%。20%的骨折为Genant 1级(轻度),而32%和48%为2级(中度)和3级(重度)。55%的骨折为双凹形,而32%和13%为楔形和压缩性骨折。较低的体重指数、白蛋白水平以及骨髓瘤蛋白、轻链和肌酐升高预示着初诊时骨折数量增加。β2微球蛋白和肌酐升高预示着椎体骨折更严重。

结论

在本研究中,50例患者中共观察到124处骨折。这些骨折通常较为严重,呈双凹形,且发生在胸椎。晚期MM的实验室指标预示着更大的骨折负荷及严重程度。未来,对这些预测因素的监测可能会提高对MM相关椎体骨折的怀疑。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验