Preterm labour with preterm delivery - Male, 0 - Tissue image [3280730025625511] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Preterm labour with preterm delivery - Male, 0 - Tissue image [3280730025625511]

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: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.

The detailed information about the patient, sample, and diagnosis are as follows:

Patient:

Age: 0

Clinical description: IVH - intraventricular haemorrhage. Prematurity (Hbd 25). Lung atelectasis.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XV - Pregnancy, childbirth and the puerperium

Diagnosis: Preterm labour with preterm delivery

Result of the histopathological examination: In the samples of the immature brain, there are visible signs of edema, hyperemia and haemorrhages in the periventricular zone and areas of gliosis.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

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

Organ: BRAIN

Tissue: Cerebrum

Type of staining: positive/HE

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: VS200 Olympus

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

21a80661-57fe-4d6e-ae37-0b58d1cf3405
1.7 GB, S3 ETag , downloads: 18
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:
2022-03-16
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/x0h6-ms66 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 45 times