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Lodox Statscan成像系统用于检测骨盆和四肢骨骼损伤的初步经验。

Initial experience with Lodox Statscan imaging system for detecting injuries of the pelvis and appendicular skeleton.

作者信息

Mulligan Michael E, Flye Christopher W

机构信息

Department of Radiology, University of Maryland Medical Center, Baltimore, MD 21201, USA.

出版信息

Emerg Radiol. 2006 Dec;13(3):129-33. doi: 10.1007/s10140-006-0525-5. Epub 2006 Oct 7.

Abstract

The purpose of this study is to assess detection of pelvic and extremity injuries employing a rapid whole-body imaging system (Lodox Statscan). We retrospectively reviewed 37 consecutive cases. The study was approved by our hospital review board and carried out with Health Insurance Portability and Accountability Act (HIPAA) compliance. Anterior-posterior (AP) whole-body Lodox Statscan (LS) exams, obtained in 10-13 s, were reviewed by two musculoskeletal radiologists. Each patient's concurrent computed radiographs (CR) and computed tomographic (CT) studies were reviewed at a later date. There were 23 males and 14 females; ages ranged from 14 to 103 years (average 40 years). Sixteen patients had a total of 73 abnormalities seen on LS, CR or CT. The LS examination identified 47 abnormalities (64.4%) in 15 patients. Twenty-six additional abnormalities were detected with the other modalities (CR, CT) in 11 patients; 8 were evident on LS images in retrospect, with the remaining 18 not identified even retrospectively. Of these retrospectively occult injuries, only one was deemed significant to the acute management of the patient. The LS imaging system seems to be a useful tool for rapid screening of multitrauma patients.

摘要

本研究的目的是评估使用快速全身成像系统(Lodox Statscan)检测骨盆和四肢损伤的情况。我们回顾性分析了连续37例病例。本研究经我院伦理审查委员会批准,并按照《健康保险流通与责任法案》(HIPAA)的规定进行。由两名肌肉骨骼放射科医生对在10 - 13秒内获得的前后位(AP)全身Lodox Statscan(LS)检查图像进行评估。每位患者同期的计算机X线摄影(CR)和计算机断层扫描(CT)检查结果在之后进行回顾。患者中有23名男性和14名女性;年龄范围为14至103岁(平均40岁)。16例患者在LS、CR或CT检查中总共发现了73处异常。LS检查在15例患者中发现了47处异常(64.4%)。另外11例患者通过其他检查方式(CR、CT)发现了26处异常;其中8处异常在回顾LS图像时可见,其余18处即使回顾也未发现。在这些回顾性隐匿性损伤中,只有一处被认为对患者的急性治疗有重要意义。LS成像系统似乎是快速筛查多发伤患者的有用工具。

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