Abnormal histological findings - Female, 49 - Tissue image [6090730014738131] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Abnormal histological findings - Female, 49 - Tissue image [6090730014738131]

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: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.

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

Patient:

Age: 49

Clinical description: Cervical dysplasia, HSIL

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XVIII - Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified

Diagnosis: Abnormal histological findings

Result of the histopathological examination: Foci of high-grade dysplasia (HSIL / CIN III), located near the transformation zone - IHC: p16 + (block reaction), increased Ki67 index, present throughout the full thickness of the epithelium. Dysplastic changes do not reach the surgical margin of the endocervix. Features of mature and immature squamous metaplasia and a moderate chronic inflammatory infiltrate.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: FEMALE GENITAL ORGANS

Organ: CERVIX UTERI

Tissue: Exocervix

Type of staining: positive/HE

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: VS200 Olympus

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

83dede8e-f47c-465f-b291-d834b6227e36
504.0 MB, 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:
2022-06-06
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/2nnb-8q90 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 68 times