Cytomegaloviral disease, unspecified - Male, 50 - Tissue image [3300730069468441] - Open Research Data - Bridge of Knowledge

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Cytomegaloviral disease, unspecified - Male, 50 - Tissue image [3300730069468441]

Description

This is the histopathological image of BRAIN 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: CMV pneumonia. Shock. Encephalitis.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter I - Certain infectious and parasitic diseases

Diagnosis: Cytomegaloviral disease, unspecified

Result of the histopathological examination: The brain specimens show markers of encephalitis with glial-microglial nodules, rod-shaped glaze, neuronophagia and segmental dentation of the cerebral cortex. In the basal ganglia, there are small foci of incomplete necrosis, corresponding to healed inflammatory foci. Corpora amylacea periventricular deposits. Atrophy of the brain and cerebellum cortex.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

Topography: EYE, BRAIN AND OTHER PARTS OF CENTRAL NERVOUS SYSTEM

Organ: BRAIN

Tissue: Brain, NOS

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

1720ee84-149d-4df0-a203-390b2197fd23
9.3 GB, S3 ETag , downloads: 19
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:
2020-07-11
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/93jm-ag23 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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