Monomorphic epitheliotropic intestinal T-cell lymphoma - Female, 65 - Tissue image [9160729581056401] - Open Research Data - Bridge of Knowledge

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Monomorphic epitheliotropic intestinal T-cell lymphoma - Female, 65 - Tissue image [9160729581056401]

Description

This is the histopathological image of STOMACH 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: In gastroscopy, thickening of stomach wall of corpus and antrum with numerous ulcerations. Abdominal CT scan additionally shows a thickening of the wall of distal duodenum

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: MATURE T- AND NK-CELL LYMPHOMAS

Diagnosis: Monomorphic epitheliotropic intestinal T-cell lymphoma

Result of the histopathological examination: Monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL) CD5 - negative staining in lymphoma's cells; positive staining in scattered T-lymphocytes of background

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: DIGESTIVE ORGANS

Organ: STOMACH

Tissue: Body of stomach

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CD 5

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

56677054-f2a9-49c7-a1f2-2add5bb0e56a
1.0 GB, S3 ETag , downloads: 19
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:
2021-08-17
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/zat4-vv30 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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