Suppr超能文献

镰状细胞血红蛋白病中的骨髓炎和梗死:锝和镓联合闪烁扫描鉴别诊断

Osteomyelitis and infarction in sickle cell hemoglobinopathies: differentiation by combined technetium and gallium scintigraphy.

作者信息

Amundsen T R, Siegel M J, Siegel B A

出版信息

Radiology. 1984 Dec;153(3):807-12. doi: 10.1148/radiology.153.3.6494477.

Abstract

Clinical records and scintigrams were reviewed of 18 patients with sickle cell hemoglobinopathies who had undergone combined technetium and gallium scintigraphy during 22 separate episodes of suspected osseous infection. The combined scintigrams were correctly interpreted as indicating osteomyelitis in four studies. Ga-67 localization was abnormally increased in all of these studies, including one where the Tc-99m MDP bone scan showed decreased activity, another where the bone scan was normal at the site of Ga-67 uptake, and two where the distribution of Tc-99m MDP and Ga-67 were incongruent. Of 18 studies in patients with infarction, the combined scintigrams were correctly interpreted in 16 and showed either no local accumulation of Ga-67 or less accumulation than that of Tc-99m MDP at symptomatic sites. In the other two studies, the scintigrams were falsely interpreted as indicating osteomyelitis and showed congruent, increased accumulation of both Tc-99m MDP and Ga-67 (with the latter of similar or greater intensity). This pattern must be considered indeterminate. Overall, the results indicate that the combination of technetium and gallium scintigraphy is an effective means to distinguish osteomyelitis from infarction in patients with sickle cell hemoglobinopathies.

摘要

回顾了18例镰状细胞血红蛋白病患者的临床记录和闪烁扫描图,这些患者在22次疑似骨感染发作期间接受了锝和镓联合闪烁扫描。在四项研究中,联合闪烁扫描图被正确解读为提示骨髓炎。在所有这些研究中,Ga - 67定位异常增加,其中一项研究中Tc - 99m MDP骨扫描显示活性降低,另一项研究中骨扫描在Ga - 67摄取部位正常,还有两项研究中Tc - 99m MDP和Ga - 67的分布不一致。在18例梗死患者的研究中,联合闪烁扫描图在16例中被正确解读,在有症状部位要么没有Ga - 67局部聚集,要么聚集程度低于Tc - 99m MDP。在另外两项研究中闪烁扫描图被错误解读为提示骨髓炎,显示Tc - 99m MDP和Ga - 67均有一致的、增加的聚集(后者强度相似或更大)。这种模式必须被视为不确定。总体而言,结果表明锝和镓联合闪烁扫描是区分镰状细胞血红蛋白病患者骨髓炎和梗死的有效方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验