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 BV]
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
ding应助mayun95采纳,获得10
刚刚
ww0407发布了新的文献求助10
刚刚
hhl发布了新的文献求助10
1秒前
冷傲凝琴发布了新的文献求助10
1秒前
NANI发布了新的文献求助10
1秒前
3秒前
英姑应助再睡十分钟采纳,获得10
5秒前
巨大的小侠完成签到 ,获得积分10
5秒前
lo完成签到,获得积分10
6秒前
西门子云完成签到,获得积分10
6秒前
斯文败类应助冷傲凝琴采纳,获得10
10秒前
动听的飞松完成签到 ,获得积分10
10秒前
dandna完成签到,获得积分10
10秒前
Jelly发布了新的文献求助10
10秒前
肆意完成签到 ,获得积分10
11秒前
贝贝完成签到,获得积分0
11秒前
bkagyin应助King16采纳,获得10
12秒前
hahage完成签到,获得积分10
12秒前
iedq完成签到 ,获得积分10
14秒前
15秒前
xzy998应助科研通管家采纳,获得10
15秒前
赘婿应助科研通管家采纳,获得10
16秒前
华仔应助科研通管家采纳,获得10
16秒前
共享精神应助科研通管家采纳,获得10
16秒前
顾矜应助科研通管家采纳,获得10
16秒前
16秒前
Ava应助科研通管家采纳,获得10
16秒前
CipherSage应助科研通管家采纳,获得10
16秒前
科研通AI2S应助科研通管家采纳,获得10
16秒前
Lucky完成签到 ,获得积分10
16秒前
CYN应助科研通管家采纳,获得10
17秒前
17秒前
CYN应助科研通管家采纳,获得10
17秒前
xzy998应助科研通管家采纳,获得10
17秒前
科目三应助科研通管家采纳,获得10
17秒前
Orange应助科研通管家采纳,获得10
17秒前
Buduan完成签到,获得积分10
18秒前
水易而华完成签到,获得积分10
19秒前
菜菜完成签到,获得积分10
19秒前
Sl完成签到,获得积分10
19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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348547
求助须知:如何正确求助?哪些是违规求助? 8163549
关于积分的说明 17174472
捐赠科研通 5405027
什么是DOI,文献DOI怎么找? 2861881
邀请新用户注册赠送积分活动 1839643
关于科研通互助平台的介绍 1688942