Oligodendroglioma, NOS - Unknown, 37 - Tissue image [329073001664881] - Open Research Data - Bridge of Knowledge

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Oligodendroglioma, NOS - Unknown, 37 - Tissue image [329073001664881]

Description

This is the histopathological image of BRAIN 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: 37

Clinical description: Tumor with the morphology of a high-differentiated glioma of the superior frontal cortex Fragments measuring 4x3.5x2.8 cm of cream-colored, soft surface. The brain fragment is seen in the material. The tumor measures approximately 3x2x1 cm.

Gender: Unknown

Diagnosis:

Classification: ICD-O_3.2

Classification code: GLIOMAS

Diagnosis: Oligodendroglioma, NOS

Result of the histopathological examination: Diffuse low glioma consistent with Oligodendroglioma(WHO G II).Immunohistochemically: GFAP (+), Olig2 (+), vimentin (-) in some cells, IDH1/R132H (+), p53 (-), Ki67 up to 5%. Molecular testing for the presence of 1p/19q codeletion is recommended.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: EYE, BRAIN AND OTHER PARTS OF CENTRAL NERVOUS SYSTEM

Organ: BRAIN

Tissue: Frontal lobe

Type of staining: positive/IHC

Staining: Not applicable

Antibody: p53

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

f071e180-7c20-48c9-8909-0aa44fb5c176
871.8 MB, S3 ETag , downloads: 18
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:
2020-10-22
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/22nx-y711 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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