Endometriosis - Female, 37 - Tissue image [613073002686811]

Gdański Uniwersytet Medyczny
2022 · doi:10.34808/sqqv-6p37 · W6890040831
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This 2022 dataset from Medical University Gdańsk provides a histopathological image of an ovarian tissue sample diagnosed with endometriosis in a 37-year-old female patient, scanned using a Pannoramic 250 3DHistech slide scanner.

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This dataset presents a histopathological image of ovarian tissue from a 37-year-old female patient, captured at 20x magnification using a Pannoramic 250 slide scanner. The clinical diagnosis confirms endometriosis affecting the corpus uteri, ovary, and abdominal cavity, alongside concurrent tumors in the urinary bladder and colon. The sample was processed as a formalin-fixed paraffin-embedded surgical specimen and stained with hematoxylin and eosin for examination. This paper is centrally about endometriosis — specifically the histopathological confirmation of ovarian involvement in a patient with widespread disease.

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Result

of the histopathological examination: Endometriosis. Sample:Material: FFPE Collecting method: Surgical specimen Topography: FEMALE GENITAL ORGANS Organ: OVARY Tissue: Ovary 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: - 2021-05-20 - Creation date: - 2021 - Dataset language: - English - Fields of science: - - medical sciences (Medical and Health Sciences ) - DOI: - DOI ID 10.34808/te4h-cw11 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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