Tuberculosis of lung, without mention of bacteriological or histological confirmation - Male, 65 - Tissue image [5310730015841201] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Tuberculosis of lung, without mention of bacteriological or histological confirmation - Male, 65 - Tissue image [5310730015841201]

Description

This is the histopathological image of OTHER AND ILL-DEFINED DIGESTIVE ORGANS 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: 65

Clinical description: Autopsy samples. Tuberculosis and pneumonia. Circulatory and respiratory failure.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter I - Certain infectious and parasitic diseases

Diagnosis: Tuberculosis of lung, without mention of bacteriological or histological confirmation

Result of the histopathological examination: Numerous caseous granulomas with giant cells and focal caseous necrosis are present in the liver, on the surface of its capsule, in the mesenteric lymph node, in the intestinal adipose tissue, on the mucosa of the small and large intestine.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

Topography: DIGESTIVE ORGANS

Organ: OTHER AND ILL-DEFINED DIGESTIVE ORGANS

Tissue: Intestinal tract, 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

1dc0b7c0-b98c-4a43-baca-8d62efdc8159
13.2 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:
2020-07-21
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/mdp0-f993 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 68 times