Pemphigoid - Female, 68 - Tissue image [12040630008877661] - Open Research Data - Bridge of Knowledge

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Pemphigoid - Female, 68 - Tissue image [12040630008877661]

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: 68

Clinical description: 68 year old female, generally well, has recently experienced skin lesions in a form of ulcerations and blisters in an erythematous background. In some places the blisters arranged in a circular pattern.

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

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

Diagnosis: Pemphigoid

Result of the histopathological examination: The histology shows a subepidermal split (early blister) without acantholysis and in the presence of neutrophils and eosinophils. The deeper levels of dermis infiltrated by neutrophils and lymphocytes. The appearances are consistent with pemphigoid.

Sample:

Material: FFPE

Collecting method: Surgical biopsy

Topography: SKIN

Organ: SKIN

Tissue: Skin of thigh

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

95c73897-8849-4e0e-95d4-325d32874519
1.2 GB, S3 ETag , downloads: 0
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:
2021-09-17
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/0bsb-hm07 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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