Suppr超能文献

通过氟-18氟脱氧葡萄糖正电子发射断层扫描诊断癌症患者深部脓毒性血栓性静脉炎:初步报告

Diagnosis of deep septic thrombophlebitis in cancer patients by fluorine-18 fluorodeoxyglucose positron emission tomography scanning: a preliminary report.

作者信息

Miceli Marisa, Atoui Rola, Walker Ronald, Mahfouz Tahsine, Mirza Nadeem, Diaz Jose, Tricot Guido, Barlogie Bart, Anaissie Elias

机构信息

Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, 72205, USA.

出版信息

J Clin Oncol. 2004 May 15;22(10):1949-56. doi: 10.1200/JCO.2004.10.160.

Abstract

PURPOSE

To determine the role of the fluorine-18 fluorodeoxyglucose positron emission tomography (FDG-PET) scan in the diagnosis and management of deep septic thrombophlebitis (STP).

PATIENTS AND METHODS

We conducted a prospective observational evaluation of FDG-PET in patients with cancer and suspected STP. Retrospective evaluation of patients with cancer and deep venous thrombosis (DVT) who underwent FDG-PET and extremity duplex scan (DS) was also performed.

RESULTS

Strong venous uptake was observed in FDG-PET of nine STP episodes versus 0 of 27 DVT episodes (P <.001). FDG-PET identified central vein STP in five patients, whereas DS and venography were negative in five and two of these patients, respectively. FDG-PET diagnosis of STP resulted in therapeutic changes in all patients. In four patients, follow-up FDG-PET confirmed resolution.

CONCLUSION

In cancer patients, FDG-PET identifies STP even in areas not optimally visualized by DS or venography, distinguishes STP from DVT, and leads to significant therapeutic changes.

摘要

目的

确定氟-18氟脱氧葡萄糖正电子发射断层扫描(FDG-PET)在深部感染性血栓性静脉炎(STP)诊断及治疗中的作用。

患者与方法

我们对患有癌症且疑似STP的患者进行了FDG-PET的前瞻性观察评估。还对接受FDG-PET及肢体双功超声扫描(DS)的癌症合并深静脉血栓形成(DVT)患者进行了回顾性评估。

结果

在9例STP发作的FDG-PET检查中观察到强烈的静脉摄取,而在27例DVT发作中为0例(P<.001)。FDG-PET在5例患者中发现了中心静脉STP,而这些患者中分别有5例和2例的DS及静脉造影结果为阴性。FDG-PET对STP的诊断使所有患者的治疗方案发生了改变。在4例患者中,随访FDG-PET证实病情已缓解。

结论

在癌症患者中,FDG-PET即使在DS或静脉造影无法最佳显示的区域也能识别STP,将STP与DVT区分开来,并导致显著的治疗方案改变。

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