Malignant lymphoma, large B-cell, diffuse, centroblastic, NOS - Female, 72 - Tissue image [9300729527453631] - Open Research Data - Bridge of Knowledge

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Malignant lymphoma, large B-cell, diffuse, centroblastic, NOS - Female, 72 - Tissue image [9300729527453631]

Description

This is the histopathological image of LYMPH NODES 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: 72

Clinical description: Enlarged supraclavicular lymph node, 2 cm in greatest dimension. In clinical history: axillary lymphadnopathy; weight loss - 4 kg in last 6 months.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: MATURE B-CELL LYMPHOMAS

Diagnosis: Malignant lymphoma, large B-cell, diffuse, centroblastic, NOS

Result of the histopathological examination: Difuse large B-cell lymphoma (DLBCL), NOS, cetroblastic Immunohistochemical subptype (Hans' algorithm) germinal center B cell (GCB type) Bcl6 - positive staining (alongside CD10 and MUM1 part of Hans' algorithm)

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: LYMPH NODES

Organ: LYMPH NODES

Tissue: Supraclavicular lymph node

Type of staining: positive/IHC

Staining: Not applicable

Antibody: BCL6

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

57bc2356-8132-41bf-99b1-fece167961a8
3.8 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:
2021-08-18
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/4p4r-et64 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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