High grade B-cell lymphoma, NOS - Female, 60 - Tissue image [5030730017661121] - Open Research Data - Bridge of Knowledge

Your account

login

Search

High grade B-cell lymphoma, NOS - Female, 60 - Tissue image [5030730017661121]

Description

This is the histopathological image of BONES, JOINTS AND ARTICULAR CARTILAGE OF LIMBS 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: 60

Clinical description: Pathological fracture of the femur.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: MATURE B-CELL LYMPHOMAS

Diagnosis: High grade B-cell lymphoma, NOS

Result of the histopathological examination: High grade B-cell lymphoma: LCA(+), CD20(+), CD79a(+), ALK1(-), CD30 (weak+), cmyc (in hot spots 40%), bcl2(-), bcl6(-), CD138(-), CD5(-), CD3(-), cyclinD1(-), CD68(-), CD1a(-), S100(-), CK Pan(-), Lambda(-), Kappa (weakly+), MPO(-). Ki67 40%.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BONES, JOINTS and ARTICULAR CARTILAGE

Organ: BONES, JOINTS AND ARTICULAR CARTILAGE OF LIMBS

Tissue: Femur

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CD 79

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

03dcedff-91dc-4581-8dd5-e7d561d89f4c
5.5 GB, S3 ETag , downloads: 21
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:
2022-04-19
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/fgwd-j488 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 117 times