Endometriosis - Female, 60 - Tissue image [5280730021734041]

Gdański Uniwersytet Medyczny
2022 · doi:10.34808/j00m-xw15 · W6890042962
OA: green CC0
🔓 Open OA copy Full text JSON View on OpenAlex View at publisher
⚙ AI-generated summary by qwen3.7-flash+body, 2026-09-17 ⓘ

A 2022 study from the Medical University of Gdańsk presents a histopathological image of corpus uteri tissue from a 60-year-old female with endometriosis and adenomyosis, captured using a Pannoramic 250 3DHistech slide scanner.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by qwen3.7-flash, 2026-09-17 · read from full text ⓘ

This dataset provides a histopathological image of a corpus uteri tissue sample from a 60-year-old female patient, scanned at 20x magnification using a Pannoramic 250 3DHistech slide scanner. The clinical description recorded for the patient was an endometrial polyp, while the official ICD-10 classification code listed under diseases of the genitourinary system is endometriosis. However, the actual result of the histopathological examination diagnosed adenomyosis of the uterus rather than endometriosis. This paper is centrally about adenomyosis — specifically the histological diagnosis of adenomyosis in a patient with a concurrent or misclassified clinical diagnosis of endometriosis.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Full text 1,664 characters · extracted from oa-doi-fallback · 2 sections · click to expand

Result

of the histopathological examination: Adenomyosis of the uterus. Sample:Material: FFPE Collecting method: Surgical specimen Topography: FEMALE GENITAL ORGANS Organ: CORPUS UTERI Tissue: Corpus uteri Type of staining: positive/HE Staining: Not applicable Antibody: Not applicable Technology:Equipment: Pannoramic 250 3DHistech Lens: 20x Organization:Source: Medical University Gdańsk Dataset file hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation: https://github.com/antespi/s3md5 File details - License: - open in new tabCC BY-NC-SANon-commercial - Share-alike - Raw data: - Data contained in dataset was not processed. - Software: - CaseViewer 2.3 Details - Year of publication: - 2022 - Verification date: - 2022-05-25 - Creation date: - 2022 - Dataset language: - English - Fields of science: - - medical sciences (Medical and Health Sciences ) - DOI: - DOI ID 10.34808/j00m-xw15 open in new tab - Ethical papers: - NKBBN/421-306/2020 - Verified by: - Medical University of Gdańsk

Keywords

Cite as Authors seen 89 times

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

openalex
last seen: 2026-05-10T11:24:39.924735+00:00
License: CC0 · commercial use OK