Location, color, size, depth, and volume may predict endometriosis in lesions resected at surgery

article OA: bronze CC0 ⤵ 57 in-corpus citations
AI-generated summary by claude@2026-06, 2026-06-09

Researchers analyzed the location, color, size, depth, and volume of resected surgical lesions to determine their predictive value for endometriosis.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Endometriosis Pigmentation Adult Endometriosis Fallopian Tubes Fallopian Tubes Female Humans Inflammation Inflammation Ovary Ovary Prospective Studies Second-Look Surgery Tissue Adhesions Tissue Adhesions

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 (22)

Cited by (50)

Source provenance

europepmc
last seen: 2026-06-04T01:30:01.192114+00:00
openalex
last seen: 2026-06-04T00:00:01.174412+00:00
pubmed
last seen: 2026-05-13T22:13:01.552487+00:00
License: CC0 · commercial use OK