Diffuse large B-cell lymphoma, germinal center B-cell subtype - Male, 45 - Tissue image [11010630088564531] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Diffuse large B-cell lymphoma, germinal center B-cell subtype - Male, 45 - Tissue image [11010630088564531]

Description

This is the histopathological image of EYE AND ADNEXA 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: 45

Clinical description: Tumor in left orbit.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: MATURE B-CELL LYMPHOMAS

Diagnosis: Diffuse large B-cell lymphoma, germinal center B-cell subtype

Result of the histopathological examination: Diffuse large B-cell lymphoma, GCB-subtype: CD20+, PAX5+, CD5-, CD3-, Bcl6- (+ <30%), CD10+, MUM1+, Bcl2+, EBVLMP1-, CD23-, CD21-, c-myc-, CD30+ in singular cells, CKAE1/AE3-, Ki-67 60%.

Sample:

Material: FFPE

Collecting method: Excision of lesions

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

Organ: EYE AND ADNEXA

Tissue: Orbit, 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

79084b60-e808-4471-8ba1-d5d6f758b22f
10.4 GB, S3 ETag , downloads: 0
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:
2021-10-23
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/hmfe-cg92 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 8 times