Ischaemic cardiomyopathy - Female, 60 - Tissue image [10080730015783421] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Ischaemic cardiomyopathy - Female, 60 - Tissue image [10080730015783421]

Description

This is the histopathological image of HEART, MEDIASTINUM, AND PLEURA 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: 60

Clinical description: Shock. Enzymatic necrosis of pancreas. Arterial hypertension.

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter IX - Diseases of the circulatory system

Diagnosis: Ischaemic cardiomyopathy

Result of the histopathological examination: The myocardium of left ventricle with hypertrophy of some myocardiocytes. In some of the samples connective tissue scars are present. Locally signs of early ischemic damage to part of the myocardiocytes in the form of spasm nodes.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: HEART, MEDIASTINUM, AND PLEURA

Tissue: Myocardium

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

b57dd324-6066-48ee-9757-1180a5a22edc
9.0 GB, S3 ETag , downloads: 21
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:
2020-05-19
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/yaxc-7v34 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 98 times