Cytomegaloviral disease, unspecified - Male, 50 - Tissue image [10110730048226001] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Cytomegaloviral disease, unspecified - Male, 50 - Tissue image [10110730048226001]

Description

This is the histopathological image of HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS 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: Hypercellular bone marrow with disorders of myelopoiesis, rejuvenation of the myelomonocytic lineage, suppression of the erythropoietic lineage, significant reduction in the number of megakaryocytes, increased myelodysplastic changes.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

Topography: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Organ: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Tissue: Bone marrow

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

8d5728a8-f8fd-4b96-bed7-f89398825e8c
5.3 GB, S3 ETag , downloads: 3
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:
2020-07-04
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/sxn1-e518 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 31 times