Reporting of adenomyosis: a service evaluation

Smith, Dawn and Bolton, Gareth C. ORCID logo ORCID: https://orcid.org/0000-0002-5453-4257 (2024) Reporting of adenomyosis: a service evaluation. In: UK Imaging and Oncology Congress 2024 (UKIO 2024): Vision and values: Putting people first, 10-12 June 2024, Liverpool ACC, UK. (Unpublished)

[thumbnail of poster abstract]
Preview
PDF (poster abstract) - Accepted Version
Available under License CC BY-NC

Download (86kB) | Preview
Official URL: https://www.ukio.org.uk/

Abstract

Background: Adenomyosis diagnosis is based on imaging alone[4]. Ultrasound demonstrates high accuracy with expert sonographers[3], however there is little knowledge regarding how well adenomyosis is identified and reported within daily clinical practice.

Method: A retrospective service evaluation was undertaken which included (n=79) adult female participants with possible symptoms of adenomyosis who had undergone a transvaginal ultrasound scan during the first quarter of 2023. Patients were identified using the CRIS statistic module according to pre-defined inclusion and exclusion criteria. Data were anonymised and collected in a data collection form to include the patient age, symptoms, scan report and sonographer. The scan report and archived images were evaluated using the sonographic signs identified by the MUSA group[1] then compared to the original report. Statistical analysis for inter-rater agreement was conducted using Cohen’s Kappa[2].

Results: Results indicate that adenomyosis is not being effectively identified and reported upon. 21.5% (n= 17) of patients had signs of adenomyosis on image review. Of these, only 23.5% (n= 4) were reported as such.

Conclusion: Most ultrasonic diagnoses of adenomyosis were not identified, which may be due to the lack of sonographer awareness and training, compounded by a lack of internationally agreed criteria for ultrasound diagnosis. Limitations include the small cohort of participants, the author working independently and limitations in reviewing static images.

Item Type: Conference or Workshop Item (Poster)
Departments: Institute of Health > Medical Sciences
Depositing User: Paul Miller
Date Deposited: 24 Mar 2024 12:33
Last Modified: 24 Mar 2024 12:45
URI: https://insight.cumbria.ac.uk/id/eprint/7603

Downloads

Downloads per month over past year



Downloads each year

Edit Item