Enterocolitis due to Clostridium difficile - Male, 36 - Tissue image [1060629594995481] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Enterocolitis due to Clostridium difficile - Male, 36 - Tissue image [1060629594995481]

Description

This is the histopathological image of COLON 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: 36

Clinical description: Autopsy. Tuberculosis and emphysema of the lungs with lymphadenopathy. Pseudomembranous colitis. Shock. Cachexia.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter I - Certain infectious and parasitic diseases

Diagnosis: Enterocolitis due to Clostridium difficile

Result of the histopathological examination: Pseudomembranous inflammation in colon specimens. In samples from the small intestine, tuberculous lesions and concomitant pseudomembranous inflammation, also including the area of ​​the intestinal anastomosis. Mesenteric lymph nodes with tuberculous lesions.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

Topography: DIGESTIVE ORGANS

Organ: COLON

Tissue: Overlapping lesion of colon

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

9cdbed87-6535-404c-9bde-ab5386dff652
10.3 GB, S3 ETag , downloads: 17
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:
2021-02-13
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/vhgw-6168 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 96 times