Pemphigus vulgaris - Female, 46 - Tissue image [9140730014118821] - Open Research Data - Bridge of Knowledge

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Pemphigus vulgaris - Female, 46 - Tissue image [9140730014118821]

Description

This is the histopathological image of SKIN 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: 46

Clinical description: The patient diagnosed with pemphigus vulgaris in 2014 and on steroid therapy since. Now exacerbation of clinical symptoms with skin ulceration of trunk and lower extremities as well as ulcerations of oral mucosa.

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XII - Diseases of the skin and subcutaneous tissue

Diagnosis: Pemphigus vulgaris

Result of the histopathological examination: Vesiculo-bullous skin disease - pemphigus. The histology shows features of suprabasal epidermal split due to acantholysis. The underlying skin displays chronic inflammation with mostly perivascular distribution.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: SKIN

Organ: SKIN

Tissue: Skin of trunk

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

253f06c1-45e0-458c-8fc2-8fa0d459f9cd
1.0 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:
2021
Verification date:
2021-09-07
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/6xzm-4h36 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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