Discordant ventriculoarterial connection - Male, 1 - Tissue image [3070630010185951] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Discordant ventriculoarterial connection - Male, 1 - Tissue image [3070630010185951]

Description

This is the histopathological image of BRONCHUS AND LUNG 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: 1

Clinical description: Transposition of the great arteries (TGA). After cardiac surgery. Survived 6 days.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XVII - Congenital malformations, deformations and chromosomal abnormalities

Diagnosis: Discordant ventriculoarterial connection

Result of the histopathological examination: In lung samples, features of atelectasis, chronic and acute hyperemia, interstitial and alveolar effusions, as well as thrombi in individual vessels. Additionally areas of subpleural hemorrhages. Focally formation of hyaline membranes and a focal inflammatory reaction are visible.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: BRONCHUS AND LUNG

Tissue: Lung, 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

583d3df9-dc5f-41af-8d23-105e0c3ae3d5
12.4 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:
2022
Verification date:
2021-09-18
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/dxre-ph11 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 70 times