Use of 99mTc-Sulesomab for the Diagnosis of Prosthesis Infection after Total Joint Arthroplasty

Author:

Pakos Ee1,Fotopoulos AD2,Stafilas KS1,Gavriilidis I1,Boukarali G Al2,Tsiouris S2,Xenakis TA1

Affiliation:

1. Department of Orthopaedic Surgery, University of Ioannina School of Medicine, Ioannina, Greece

2. Department of Nuclear Medicine, University Hospital of Ioannina, University of Ioannina School of Medicine, Ioannina, Greece

Abstract

This study aimed to evaluate the diagnostic efficacy of antigranulocyte scintigraphy using the antibody fragment 99mTc-sulesomab (LeukoScan®) for the diagnosis of prosthesis infection in patients with total hip or knee arthroplasty. The results from 19 patients with suspected total joint arthroplasty infection who had undergone a three-phase bone scan and a subsequent examination with 99mTc-sulesomab during a 1-year period were reviewed. Twelve patients were shown to have prosthesis infection on culture of aspirated synovial fluid or intra-operative samples. The overall sensitivity, specificity, positive and negative predictive values, and diagnostic accuracy for 99mTc-sulesomab were 75%, 86%, 90%, 66% and 79%, respectively, compared with 54%, 83%, 88%, 45% and 63%, respectively, for the three-phase bone scan. This study showed that 99mTc-sulesomab had good diagnostic value for the detection of prosthesis infection. The combination of 99mTc-sulesomab with other laboratory or imaging examinations may improve diagnostic performance in prosthesis infection and should be investigated further.

Publisher

SAGE Publications

Subject

Biochemistry, medical,Cell Biology,Biochemistry,General Medicine

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3