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
1秒前
1秒前
1秒前
2秒前
李雯娴发布了新的文献求助10
2秒前
alan完成签到,获得积分20
3秒前
CipherSage应助梦想里采纳,获得30
3秒前
不喜发布了新的文献求助10
3秒前
xiaoyu发布了新的文献求助10
4秒前
4秒前
呼啦啦啦发布了新的文献求助10
5秒前
完美世界应助哈哈采纳,获得10
5秒前
5秒前
玛卡巴卡完成签到,获得积分20
6秒前
6秒前
有有发布了新的文献求助10
7秒前
可爱的函函应助务实善若采纳,获得10
7秒前
如初完成签到 ,获得积分10
7秒前
乐乐应助涂豆丝采纳,获得10
7秒前
伶俐茗茗应助张雯雯采纳,获得50
7秒前
小白发布了新的文献求助10
8秒前
8秒前
小于要毕业完成签到,获得积分10
8秒前
8秒前
8秒前
8秒前
yy发布了新的文献求助10
8秒前
alan发布了新的文献求助30
9秒前
9秒前
汉堡包应助stz采纳,获得10
10秒前
乘风的法袍完成签到,获得积分10
10秒前
11秒前
Ava应助星辰采纳,获得10
11秒前
言雨完成签到,获得积分10
12秒前
13秒前
dian发布了新的文献求助10
13秒前
xyz发布了新的文献求助10
13秒前
JSSSQQQQQ发布了新的文献求助10
14秒前
14秒前
郭勇慧完成签到,获得积分10
16秒前
高分求助中
液晶指向矢仿真分析数据集 8888
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Advanced Memory Technology 500
Petrology and Plate Tectonics 500
Writing Systems 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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6862013
求助须知:如何正确求助?哪些是违规求助? 8565340
关于积分的说明 18213949
捐赠科研通 6228771
什么是DOI,文献DOI怎么找? 3047950
关于科研通互助平台的介绍 2048454
邀请新用户注册赠送积分活动 2025550