Crohn's disease of large intestine - Female, 80 - Tissue image [12210630006746651] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Crohn's disease of large intestine - Female, 80 - Tissue image [12210630006746651]

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: 80

Clinical description: Suspicion of Crohn disease. Diverticulosis.

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XI - Diseases of the digestive system

Diagnosis: Crohn's disease of large intestine

Result of the histopathological examination: Granulomatous colitis with focal formation of deep fissured ulcerations, with perforation and accompanying purulent inflammatory exudate. The granulomas are scattered throughout the whole intestinal wall, and around the diverticula, in the fatty tissue of the mesentery, and in adjacent lymph nodes. Most of them are non-caseating granulomas, single small ones in the vicinity of ulcers show central necrosis. Conclusion: Granulomatous colitis with perforation. Diverticular disease of the large intestine.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: DIGESTIVE ORGANS

Organ: COLON

Tissue: Large bowel, 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

cd50f820-b9ff-440c-9eab-46d0ff2ca843
9.8 GB, S3 ETag , downloads: 27
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:
2021
Verification date:
2020-08-05
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/6skj-w053 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 72 times