Moderate cervical dysplasia - Female, 50 - Tissue image [5130730017408141] - Open Research Data - Bridge of Knowledge

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Moderate cervical dysplasia - Female, 50 - Tissue image [5130730017408141]

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: 50

Clinical description: Cervical erosion. CIN2 confirmed in biopsy

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XIV - Diseases of the genitourinary system

Diagnosis: Moderate cervical dysplasia

Result of the histopathological examination: The mucosa of the endocervix locally polypoid, with squamous metaplasia and small-glandular hyperplasia, with chronic active inflammation and the presence of diffuse foci of external endometriosis in the stroma, with "tunnel clusters" gland growth and the formation of numerous retention mucous cysts.

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

2e70b222-aec9-47aa-a4d4-76f0725273d4
12.1 GB, S3 ETag , downloads: 21
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:
2021-10-09
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/vdfn-xf37 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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