亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Detecting endometrial cancer

子宫内膜癌 医学 宫腔镜检查 妇科 卓越 癌症 内科学 政治学 法学
作者
Eleanor Jones,Helena O’Flynn,Kelechi Njoku,Emma J. Crosbie
出处
期刊:The obstetrician & gynaecologist [Wiley]
卷期号:23 (2): 103-112 被引量:44
标识
DOI:10.1111/tog.12722
摘要

Key content Endometrial cancer (EC) is the most common gynaecological cancer in the UK. Ninety percent of women with EC present with postmenopausal bleeding (PMB), but less than 10% of women with PMB have a sinister underlying cause. National Institute for Health and Care Excellence guidance advises that symptomatic postmenopausal women undergo urgent investigation; however, guidance is unclear for premenopausal women. Current investigations for PMB, including transvaginal ultrasound scan, endometrial biopsy and/or outpatient hysteroscopy, have advantages and disadvantages. Novel detection tools are in development, which combine minimally invasive sampling with genomic, proteomic and single cell technologies. Learning objectives To understand who is at risk of EC and who should be referred for urgent investigations. To understand the evidence underpinning the current diagnostic pathway for EC. To highlight unique and promising perspectives for EC detection and their potential to transform clinical care. Ethical issues Current diagnostics for EC are invasive and often painful. There is an urgent need for high‐quality randomised controlled trials to inform effective pain relief options. Premenopausal women with suspected EC do not fit criteria for urgent investigations. How can we identify those at highest risk to ensure they are fast‐tracked appropriately? Novel diagnostic tools hold promise, but they must be robustly validated before being introduced into clinical practice.

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
陈旧完成签到,获得积分10
刚刚
欣欣子完成签到,获得积分10
7秒前
yxl完成签到,获得积分10
13秒前
可耐的盈完成签到,获得积分10
19秒前
绿毛水怪完成签到,获得积分10
26秒前
lsc完成签到,获得积分10
32秒前
忧郁的冷雁完成签到,获得积分10
34秒前
小fei完成签到,获得积分10
38秒前
麻辣薯条完成签到,获得积分10
45秒前
kuzi完成签到 ,获得积分10
48秒前
49秒前
时尚身影完成签到,获得积分10
51秒前
邪恶库洛米完成签到 ,获得积分20
54秒前
leoduo完成签到,获得积分10
58秒前
宁赴湘完成签到 ,获得积分10
1分钟前
流苏2完成签到,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
神奇CiCi完成签到 ,获得积分0
1分钟前
爆米花应助狂野的锦程采纳,获得10
1分钟前
小蘑菇应助故意的尔蓉采纳,获得10
1分钟前
假装有名字完成签到,获得积分10
2分钟前
2分钟前
萍萍子发布了新的文献求助10
2分钟前
2分钟前
Lemon发布了新的文献求助10
2分钟前
2分钟前
3分钟前
Cheng完成签到,获得积分10
3分钟前
3分钟前
OsamaKareem应助科研通管家采纳,获得10
3分钟前
所所应助科研通管家采纳,获得10
3分钟前
我是老大应助萍萍子采纳,获得10
3分钟前
丘比特应助xxj2021采纳,获得10
3分钟前
Lemon完成签到,获得积分10
3分钟前
3分钟前
萍萍子完成签到,获得积分10
3分钟前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 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 6485970
求助须知:如何正确求助?哪些是违规求助? 8284625
关于积分的说明 17670091
捐赠科研通 5573431
什么是DOI,文献DOI怎么找? 2913086
邀请新用户注册赠送积分活动 1890068
关于科研通互助平台的介绍 1747065