Performance of ROMA based on Architect CA 125 II and HE4 values in Chinese women presenting with a pelvic mass: A multicenter prospective study

医学 恶性肿瘤 癌抗原 前瞻性队列研究 绝经后妇女 卵巢癌 妇科 癌症 内科学 胃肠病学 产科
作者
Fengxian Shen,Shiming Lü,Yibing Peng,Fan Yang,Yan Chen,Yingying Lin,Chen Yang,Li Wu,Huijun Li,Yijie Zheng
出处
期刊:Clinica Chimica Acta [Elsevier]
卷期号:471: 119-125 被引量:13
标识
DOI:10.1016/j.cca.2017.05.029
摘要

We evaluated the performance of human epididymis protein 4 (HE4), cancer antigen 125(CA 125) and Risk of Ovarian Malignancy Algorithm (ROMA) in distinguishing between benign and malignant pelvic masses in Chinese women. From April to December 2012, women with a pelvic mass scheduled to have surgery were enrolled in a prospective, multi-center study conducted in 5 different regions in China. Preoperative serum concentrations of HE4 and CA 125 were examined and ROMA was calculated. A total of 684 women with a pelvic mass were included, of which 482 were diagnosed with benign conditions and 202 were diagnosed with malignant ovarian tumors. At cutoffs of 7.4% and 25.3% for ROMA, the sensitivities and specificities were 85.6% and 81.7% for all patients, 85.7% and 81.5% for premenopausal women, and 85.6% and 83.9% for postmenopausal women, respectively. The ROC-AUC of ROMA was significantly better than that of HE4 (P = 0.0003) or CA 125 (P < 0.0001) for all malignant diseases (including EOC, Non-EOC, LMP, metastases and other pelvic malignancy with no involvement of the ovaries) compared with benign diseases for all patients. We demonstrated the efficiency of ROMA in the distinction of ovarian cancers from benign disease in a multiple-regions Chinese population, especially in premenopausal women.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
今后应助柯尔丝采纳,获得10
1秒前
喜东东发布了新的文献求助10
1秒前
2秒前
2秒前
王月半发布了新的文献求助10
2秒前
无极微光应助Rwo采纳,获得20
3秒前
cmxing完成签到,获得积分10
3秒前
俏皮幻悲发布了新的文献求助10
5秒前
大力的灵雁应助hahage采纳,获得30
5秒前
dldldldl应助优雅的魂幽采纳,获得10
5秒前
6秒前
喜松发布了新的文献求助20
6秒前
温暖宛筠发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
9秒前
huaimin完成签到 ,获得积分10
9秒前
9秒前
woshihu发布了新的文献求助10
9秒前
10秒前
10秒前
知更鸟完成签到 ,获得积分10
10秒前
小草三心发布了新的文献求助10
11秒前
11秒前
大个应助WEIke采纳,获得20
12秒前
huangqian完成签到,获得积分10
12秒前
Ps发布了新的文献求助10
13秒前
575757发布了新的文献求助10
13秒前
13秒前
14秒前
科研小白发布了新的文献求助10
14秒前
14秒前
机智雅山完成签到 ,获得积分20
14秒前
14秒前
晚风的柔风6完成签到,获得积分10
15秒前
海子完成签到,获得积分10
15秒前
华仔应助烂漫的飞松采纳,获得10
15秒前
15秒前
xiaohei完成签到,获得积分10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6041186
求助须知:如何正确求助?哪些是违规求助? 7779820
关于积分的说明 16233436
捐赠科研通 5187140
什么是DOI,文献DOI怎么找? 2775723
邀请新用户注册赠送积分活动 1758816
关于科研通互助平台的介绍 1642296