High grade serous carcinoma - Female, 34 - Tissue image [8310729566967371] - Open Research Data - Bridge of Knowledge

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High grade serous carcinoma - Female, 34 - Tissue image [8310729566967371]

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: 34

Clinical description: The patient was admitted due to the suspicion of right ovarian cancer. In the ultrasound of the right ovary, a multiloculated-cystic tumor with solid areas, 8 cm in diameter.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: CYSTIC, MUCINOUS AND SEROUS NEOPLASMS

Diagnosis: High grade serous carcinoma

Result of the histopathological examination: High grade serous carcinoma P53; nuclear positive staining; p53 expression correlates with TP53 mutation (missense mutations if nuclear staining in > 80% of cells )

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: FEMALE GENITAL ORGANS

Organ: OVARY

Tissue: Ovary

Type of staining: positive/IHC

Staining: Not applicable

Antibody: p53

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

fcad2266-39ab-4bed-931d-95a31af11e7f
9.8 GB, S3 ETag , downloads: 2
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:
2021-08-16
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/hdp9-2e44 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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