Suppr超能文献

使用逻辑回归模型通过彩色多普勒能量预测附件包块的恶性程度

Color Doppler energy prediction of malignancy in adnexal masses using logistic regression models.

作者信息

Marret H, Ecochard R, Giraudeau B, Golfier F, Raudrant D, Lansac J

机构信息

Department of Gynecology, Obstetrics, Fetal Medicine and Human Reproduction, Bretonneau University Hospital, Tours, France.

出版信息

Ultrasound Obstet Gynecol. 2002 Dec;20(6):597-604. doi: 10.1046/j.1469-0705.2002.00853.x.

Abstract

OBJECTIVE

The aim of this study was to assess the usefulness of color Doppler energy in the preoperative diagnosis of ovarian malignancy using multivariate logistic regression analysis.

METHODS

One hundred and thirty adnexal masses were studied with transvaginal B-mode, color energy, and pulsed Doppler ultrasonography before surgery in order to develop a model that could be used to determine malignancy. Each ultrasonographic variable (tumor size, wall thickness, septal structure, echogenicity, papillary projection, density (solid or not)) was included individually or combined together as part of the Sassone ultrasound score. Intratumoral blood flow velocity waveforms were obtained to determine pulsatility index and resistance index and a more subjective parameter, location of tumor vascularity, was also assessed. Menopausal status and serum CA 125 levels were also entered as categorical variables. Sonographic parameters were entered alone, then associated with menopausal status and CA 125 serum levels, and finally with Doppler energy measurements. Our model was then validated in a group of 68 adnexal masses and compared to the model of Alcazar.

RESULTS

Eighteen adnexal masses (13.8%) were malignant or of low malignant potential. Multivariate analysis showed that papillary projection of the tumor wall, cyst with solid parts, resistance index with a cut-off value of 0.53, CA 125, and central blood flow location, were the only factors to be independent predictors of malignancy. Menopausal status was not an independent factor. For the final model including the Doppler energy parameter the best sensitivity and specificity were 83% and 93%, respectively, at a cut-off value of 10% probability of malignancy compared to 83% and 87% for the morphological variables alone. Validation of the model showed its diagnostic performance to be as good as that reported in the original population and better than the model of Alcazar.

CONCLUSION

Sonographic analysis of adnexal masses including color Doppler energy shows the best predictive properties according to histological diagnosis, and improves preoperative diagnosis of malignancy.

摘要

目的

本研究旨在通过多因素逻辑回归分析评估彩色多普勒能量图在卵巢恶性肿瘤术前诊断中的应用价值。

方法

对130例附件包块患者在术前进行经阴道B超、彩色能量图及脉冲多普勒超声检查,以建立一个可用于判断恶性肿瘤的模型。每个超声变量(肿瘤大小、壁厚度、分隔结构、回声性、乳头样突起、密度(实性与否))单独或联合作为Sassone超声评分的一部分。获取瘤内血流速度波形以确定搏动指数和阻力指数,同时评估一个更主观的参数——肿瘤血管位置。绝经状态和血清CA 125水平也作为分类变量纳入。超声参数先单独输入,然后与绝经状态和CA 125血清水平相关联,最后与多普勒能量测量值相关联。然后在一组68例附件包块中验证我们的模型,并与Alcazar模型进行比较。

结果

18例附件包块(13.8%)为恶性或低恶性潜能。多因素分析显示,肿瘤壁的乳头样突起、有实性部分的囊肿、截断值为0.53的阻力指数、CA 125以及中心血流位置是恶性肿瘤的唯一独立预测因素。绝经状态不是独立因素。对于包含多普勒能量参数的最终模型,在恶性概率截断值为10%时,最佳敏感性和特异性分别为83%和93%,而仅形态学变量时分别为83%和87%。模型验证显示其诊断性能与原始人群报告的一样好,且优于Alcazar模型。

结论

包括彩色多普勒能量图在内的附件包块超声分析根据组织学诊断显示出最佳预测特性,并改善了恶性肿瘤的术前诊断。

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