Serous borderline tumor, NOS - Female, 59 - Tissue image [10010729534323071] - Open Research Data - Bridge of Knowledge

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Serous borderline tumor, NOS - Female, 59 - Tissue image [10010729534323071]

Description

This is the histopathological image of OVARY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

The detailed information about the patient, sample, and diagnosis are as follows:

Patient:

Age: 59

Clinical description: Cystic ovarian tumor, dimensions 8.0 x 6.5 x 5.0 cm The inner surface of the cyst with papillary, confluent eruptions in area of 4 cm in diameter.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: CYSTIC, MUCINOUS AND SEROUS NEOPLASMS

Diagnosis: Serous borderline tumor, NOS

Result of the histopathological examination: Ovarian serous borderline tumor Numerous slender to bulbous, irregularly contoured papillae with fibrous, hyaline or myxoid cores Hierarchical branching pattern - larger papillae arborize to sequentially smaller papillae terminating in epithelial clusters or single cells

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

2abb4278-126d-4385-b363-dd9aa4c43bac
6.9 GB, S3 ETag , downloads: 0
The file hash is calculated from the formula
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:
Creative Commons: by-nc-sa 4.0 open in new tab
CC BY-NC-SA
Non-commercial - Share-alike
Raw data:
Data contained in dataset was not processed.
Software:
CaseViewer 2.3

Details

Year of publication:
2021
Verification date:
2021-08-18
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/54mn-4q94 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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