Endometriosis - Female, 49 - Tissue image [6110730021447511]

Gdański Uniwersytet Medyczny
2022 · doi:10.34808/3prj-9r74 · W6965289284
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⚙ AI-generated summary by gemini-2.5-flash-lite+body, 2026-07-15 ⓘ

This histopathological image of a 49-year-old female's cervix uteri shows single foci of endometriosis, squamous metaplasia, and chronic inflammatory infiltrate.

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The paper provides a histopathological tissue image dataset of a 49-year-old female cervix (exocervix), collected as a surgical specimen and scanned at 20x magnification using a Pannoramic 250 3DHistech slide scanner, saved in DICOM format. The patient’s clinical description includes a myomatous uterus, adenomyosis, abnormal vaginal bleeding, and the histopathology reports single foci of endometriosis in the cervix, with squamous metaplasia and a small focal chronic inflammatory infiltrate in the canal and transition zone. The main limitation is that this work is essentially a dataset description/image deposition rather than an analytical study, and the raw data are stated as unprocessed. This paper is centrally about endometriosis — it reports single foci of endometriosis in the cervix in a patient also described as having adenomyosis.

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Result

of the histopathological examination: Single foci of endometriosis in the cervix. In the canal and transition zone, squamous metaplasia and a small focal chronic inflammatory infiltrate. Sample:Material: FFPE Collecting method: Surgical specimen Topography: FEMALE GENITAL ORGANS Organ: CERVIX UTERI Tissue: Exocervix 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: - 2022-06-09 - Creation date: - 2022 - Dataset language: - English - Fields of science: - - medical sciences (Medical and Health Sciences ) - DOI: - DOI ID 10.34808/3prj-9r74 open in new tab - Ethical papers: - NKBBN/421-306/2020 - Verified by: - Medical University of Gdańsk

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endometriosis

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