Malignant neoplasm of cervix uteri - Female, 38 - Tissue image [2220630014947541] - Open Research Data - Bridge of Knowledge

Search

Malignant neoplasm of cervix uteri - Female, 38 - Tissue image [2220630014947541]

Description

This is the histopathological image of CERVIX UTERI 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: 38

Clinical description: Tumor of the cervix

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Malignant neoplasm of cervix uteri

Result of the histopathological examination: Mucinous high-grade adenocarcinoma of the cervix. IHC: CK 7 (+), CK 20 focally (+), p16 (+), p53-status negative, p63-positive reaction in few cells, p40 (-), PAX 8 (-), ER (-), CEA- (+), chromogranin (-), synaptophysin (-), mucikarmin (+)). Cancer involves the cervix and extends focally to its radial margin.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: FEMALE GENITAL ORGANS

Organ: CERVIX UTERI

Tissue: Cervical canal

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

8176cf49-9365-413b-94ee-e43137b99442
11.3 GB, S3 ETag , downloads: 17
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:
2022
Verification date:
2021-10-08
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/4mts-at55 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 64 times