Acute myocardial infarction, unspecified - Male, 72 - Tissue image [12020630021666481] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Acute myocardial infarction, unspecified - Male, 72 - Tissue image [12020630021666481]

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: 72

Clinical description: Autopsy. Lung cancer. Pneumonia. Myocardial infarction. Shock.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter IX - Diseases of the circulatory system

Diagnosis: Acute myocardial infarction, unspecified

Result of the histopathological examination: Myocardial infarction in the phase of granulocytic infiltration (anterior wall and anterior papillary muscle) and numerous diffuse post-infarction scars with accompanying granulation on the periphery and cardiomyocyte hypertrophy.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: HEART, MEDIASTINUM, AND PLEURA

Tissue: Heart

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

b0a00e74-d626-41e1-aed0-ad2ffc6d132f
14.1 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:
2020-05-15
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/ge7r-kx50 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 271 times