Stomach, unspecified - Male, 63 - Tissue image [5040730020292291] - Open Research Data - Bridge of Knowledge

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Stomach, unspecified - Male, 63 - Tissue image [5040730020292291]

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: 63

Clinical description: Gastropatia

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Stomach, unspecified

Result of the histopathological examination: Samples of atrophic gastric mucosa with no proper fundic glands, with numerous areas of intestinal metaplasia. In some of the sections, clusters of neuroendocrine cells forming clusters with a diameter of up to 0.3 cm in the examined sections. IHC: CK Pan (+), CD56 (+), synaptophysin (+), chromogranin (-), Ki67: 2%. Histological picture of NET G1 lesions resulting from atrophic gastropathy. Positive staining for synaptophysin.

Sample:

Material: FFPE

Collecting method: Surgical biopsy

Topography: DIGESTIVE ORGANS

Organ: STOMACH

Tissue: Body of stomach

Type of staining: positive/IHC

Staining: Not applicable

Antibody: Synaptophysin

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

522b11df-dc05-461d-b3b2-3bd2a68452bc
2.5 GB, S3 ETag , downloads: 16
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:
2020-08-15
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/cqmr-sv93 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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