Extreme immaturity - Male, 0 - Tissue image [4050730010685071] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Extreme immaturity - Male, 0 - Tissue image [4050730010685071]

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: 0

Clinical description: Extreme prematurity (1080g). Lung atelectasis. Subpleural haemorrhages. The condition after the closure of the patent Botalla's duct (PDA). Condition after pneumothorax decompression. Patent interatrial foramen (PFO). Lived 15 days.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XVI - Certain conditions originating in the perinatal period

Diagnosis: Extreme immaturity

Result of the histopathological examination: Lung specimens show areas of secondary atelectasis, excessive aeration, signs of hyperemia and subpleural hemorrhages. In places, the pneumothorax also affects the interlobular spaces of the lungs. Focal, there are few hyaline membranes and an inflammatory reaction.

Sample:

Material: FFPE

Collecting method: Autopsy 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

3a3203b9-d263-4ed5-b29c-ccb6ab9ccae3
11.2 GB, S3 ETag , downloads: 20
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/bvjf-6m09 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 64 times