Papillomavirus as the cause of diseases classified to other chapters - Female, 28 - Cell image [4130730006611991] - Open Research Data - Bridge of Knowledge

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Papillomavirus as the cause of diseases classified to other chapters - Female, 28 - Cell image [4130730006611991]

Description

This is the histopathological image of CERVIX UTERI cell 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: 28

Clinical description: Ectropion

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter I - Certain infectious and parasitic diseases

Diagnosis: Papillomavirus as the cause of diseases classified to other chapters

Result of the histopathological examination: LSIL (Low grade squamous intraepithelial lesion). Papsmear contains multiple superficial epithelial cells, among them kolicytes and binuclear cells, groups and single glandular cervical cells. Among them granulocytes can be spotted. Surepath.

Sample:

Material: SurePath

Collecting method: Exfoliative cytology

Topography: FEMALE GENITAL ORGANS

Organ: CERVIX UTERI

Tissue: Exocervix

Type of staining: positive/HC

Staining: Papanicolaou

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

29a74e3f-8a50-4ca3-bd23-da1fd4aadea6
22.8 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:
2021
Verification date:
2019-12-02
Creation date:
2019
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/j3q5-y905 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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