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The Obstetrician & Gynaecologist
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The Obstetrician & Gynaecologist
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Detecting endometrial cancer

Authors: Eleanor R Jones; Helena O’Flynn; Kelechi Njoku; Emma J Crosbie;

Detecting endometrial cancer

Abstract

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.

Country
United Kingdom
Keywords

Manchester Cancer Research Centre, ResearchInstitutes_Networks_Beacons/mcrc; name=Manchester Cancer Research Centre

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    51
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
51
Top 1%
Top 10%
Top 1%
hybrid
Related to Research communities
Cancer Research