B-cell chronic lymphocytic leukemia/small lymphocytic lymphoma - Male, 82 - Tissue image [726072959449561] - Open Research Data - Bridge of Knowledge

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B-cell chronic lymphocytic leukemia/small lymphocytic lymphoma - Male, 82 - Tissue image [726072959449561]

Description

This is the histopathological image of HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS 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: 82

Clinical description: No clinical data.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: LYMPHOID LEUKEMIAS (C42.1)

Diagnosis: B-cell chronic lymphocytic leukemia/small lymphocytic lymphoma

Result of the histopathological examination: CLL/SLL-B: hypercellular bone marrow, diffuse proliferation of B cells. Diffuse reticulin fibrosis (1+). CLL/SLL-B cells: CD20+ weak focally, CD79a+, CD5+, CD23+, CD3- (positive reaction in reactive T cells). CD5: positive membranous reaction.

Sample:

Material: FFPE

Collecting method: Bone marrow biopsy

Topography: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Organ: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Tissue: Bone marrow

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CD 5

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

af5393ff-1d33-4515-b8c8-9378c90c2014
3.3 GB, 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:
2021
Verification date:
2020-08-29
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/1p26-0r33 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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