Literature DB >> 32412170

One-Size-Fits-All Approach Does Not Work for Gynecology Trainees Learning Endometriosis Ultrasound Skills.

Mathew Leonardi1, Jozarino Ong1, Mercedes Espada1, Nicole Stamatopoulos1, Ekavi Georgousopoulou2, Gernot Hudelist3, George Condous1.   

Abstract

OBJECTIVES: To evaluate whether gynecologic surgical trainees (fellows) can become competent in the real-time classification of the pouch of Douglas (POD) obliteration state and direct visualization of bowel deep endometriosis (DE) during a program with a prespecified number of transvaginal ultrasound (TVUS) examinations.
METHODS: We performed a prospective study between December 2017 and December 2018. Three fellows (F1-F3) performed 50 scans each, which were all supervised by an expert sonologist, who performed the reference standard TVUS examination. The fellows performed a focused TVUS examination to assess the bowel and POD state, having been blinded to the patient's clinical history and reference standard findings. Immediate feedback and hands-on teaching were provided after each of the fellow's official classifications. To evaluate the number of scans needed to gain competency, the cumulative summation test for the learning curve was used.
RESULTS: A total of 150 examinations were performed on 145 patients. Twenty-six (17.9%) patients had a diagnosis of bowel DE, and 34 (23.4%) were classified as having a negative sliding sign by the reference standard. The overall accuracy of the presence/absence of bowel DE was 90% (range, 82%-94%). The overall accuracy of POD state classification was 93% (range, 90%-96%). The cumulative summation test for the learning curve for bowel DE showed that F1 did not reach competency by 50 scans, whereas F2 and F3 required 21 and 25 scans, respectively. For POD obliteration, F2 did not reach competency, whereas F1 and F3 required 40 and 22 scans.
CONCLUSIONS: Not all trainees can reach competency for TVUS evaluations of POD obliteration and bowel DE in a predefined number of scans.
© 2020 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  competency-based medical education; deep endometriosis; endometriosis; learning curve; transvaginal ultrasound; uterine sliding sign

Mesh:

Year:  2020        PMID: 32412170     DOI: 10.1002/jum.15337

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  2 in total

1.  Deep learning to diagnose pouch of Douglas obliteration with ultrasound sliding sign.

Authors:  Gabriel Maicas; Mathew Leonardi; Jodie Avery; Catrina Panuccio; Gustavo Carneiro; M Louise Hull; George Condous
Journal:  Reprod Fertil       Date:  2021-08-25

2.  Diagnostic accuracy of transvaginal sonography for detecting parametrial involvement in women with deep endometriosis: systematic review and meta-analysis.

Authors:  S Guerriero; L Martinez; I Gomez; M A Pascual; S Ajossa; M Pagliuca; J L Alcázar
Journal:  Ultrasound Obstet Gynecol       Date:  2021-11       Impact factor: 7.299

  2 in total

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