Diagram to map the locations of endometriosis

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AI-generated summary by claude@2026-06, 2026-06-07

A visual diagram designed to map endometriosis locations demonstrated increasing accuracy in identifying disease sites, reaching 99.7% correctness after iterative modifications based on gynecologist feedback.

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Abstract

OBJECTIVE: To develop and test a visual map that corresponds practically and objectively to the anatomical areas affected by endometriosis. METHOD: The study comprised 150 questionnaires concerning 10 clinical cases of endometriosis presented as a visual diagram that were distributed at 3 different scientific events, among 3 groups of 50 gynecologists. Data were analyzed to evaluate the diagram's ability to graphically represent the endometriosis sites. RESULTS: After presentation at the first event, the rate of correct answers on the site of endometriosis was 84.7%; at the second event, after modifications implemented after feedback from the first event, the rate of correct answers was 97.4%; and at the third event, when all suggestions and modifications had been made, the rate was 99.7%. CONCLUSION: The diagram proposed to map the location of endometriosis lesions appears to be an adequate and effective instrument to represent the site of the disease, with correlation at almost 100%.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Endometrium Surveys and Questionnaires Adult Aged Endometriosis Endometriosis Endometrium Female Humans Middle Aged

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (18)

Cited by (5)

Source provenance

europepmc
last seen: 2026-06-16T06:07:01.518242+00:00
openalex
last seen: 2026-06-10T17:14:06.276822+00:00
pubmed
last seen: 2026-05-13T22:16:17.081435+00:00
unpaywall
last seen: 2026-06-16T06:25:30.133384+00:00
License: CC0 · commercial use OK