Moderate cervical dysplasia - Female, 50 - Tissue image [5130730017407481] - Open Research Data - Bridge of Knowledge

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Moderate cervical dysplasia - Female, 50 - Tissue image [5130730017407481]

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: Cervical disc mucosa with true erosion and glandular ectropion with chronic active inflammation, Naboth's cysts, with the presence of focal markers of reactive atypia and higher degree of intraepithelial neoplasia within the transformation zone (CIN 2 / HSIL, p16 (+)). The surgical margin of the exocervix from the side of the vaginal margin is free of dysplastic changes.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: FEMALE GENITAL ORGANS

Organ: CERVIX UTERI

Tissue: Exocervix

Type of staining: positive/IHC

Staining: Not applicable

Antibody: p16

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

85c9b60f-9170-4e47-a8fc-fe705564f33a
3.2 GB, S3 ETag , downloads: 25
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/wnve-da31 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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