Suppr超能文献

[超声引导下穿刺在卵巢液性肿瘤评估中的作用]

[The role of ultrasound-guided puncture in the evaluation of liquid tumors of the ovary].

作者信息

de Meeus J B, Magnin G, Bounaud M P, Babin M

机构信息

Service de Gynécologie-Obstétrique, Hôpital Jean-Bernard, Poitiers.

出版信息

Rev Fr Gynecol Obstet. 1993 Mar;88(3):142-5.

PMID:8493442
Abstract

Twenty percent of liquid tumors of the ovary are persistent functional cysts. Laboratory tests of the cystic fluid should make it possible to distinguish between functional cysts and organic cysts. In 170 patients derived from a multicenter study and presenting with a liquid tumor of the ovary (including 9% of cancers), samples of the cystic fluid and serum were taken from the patient and the ACE, CA 125, CA 19-9 markers, estradiol and Progesterone were assayed. The results of these assays were subjected to computerized analysis and compared with the pathological findings. The assays were able to discriminate between organic cysts and functional cyst with 93% of sensitivity and 95% specificity. The insufficient reliability of this evaluation justified a second study (in progress) which is limited to the study of pure fluid tumors with thin walls, no partitions, no vegetations and measuring less than 8 cm in diameter in which the incidence of cancers is very low. This study should fine tune the initial findings and result in a sensitivity approaching 100 percent. If this hypothesis is confirmed, it should be possible to include ultrasound-guided puncture carried out under closely defined conditions in the therapeutic decision trees for liquid cysts of the ovary.

摘要

20%的卵巢液性肿瘤为持续性功能性囊肿。对囊液进行实验室检测应能够区分功能性囊肿和器质性囊肿。在一项多中心研究纳入的170例患有卵巢液性肿瘤(包括9%的癌症)的患者中,采集了患者的囊液和血清样本,并检测了血管紧张素转换酶(ACE)、糖类抗原125(CA 125)、糖类抗原19-9(CA 19-9)标志物、雌二醇和孕酮。对这些检测结果进行了计算机分析,并与病理结果进行了比较。这些检测能够以93%的灵敏度和95%的特异性区分器质性囊肿和功能性囊肿。这种评估的可靠性不足,因此开展了第二项研究(正在进行中),该研究仅限于研究壁薄、无分隔、无赘生物且直径小于8 cm的单纯液性肿瘤,此类肿瘤中癌症的发生率非常低。这项研究应能对初步结果进行微调,使灵敏度接近100%。如果这一假设得到证实,那么在卵巢液性囊肿的治疗决策树中,应该可以纳入在严格限定条件下进行的超声引导穿刺。

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