B-cell chronic lymphocytic leukemia/small lymphocytic lymphoma - Male, 58 - Tissue image [7290729573657031] - Open Research Data - Bridge of Knowledge

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B-cell chronic lymphocytic leukemia/small lymphocytic lymphoma - Male, 58 - Tissue image [7290729573657031]

Description

This is the histopathological image of CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES 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: 58

Clinical description: History of CLL.

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: Two cores with CLL/SLL-B infiltration (CD20+, CD5+, CD23+). One core with adenocarcinoma (CK20 + focally, CK7-, SATB2+, CDK2+). CD5: positive membranous reaction in CLL/SLL-B cells.

Sample:

Material: FFPE

Collecting method: Core-needle biopsy

Topography: CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES

Organ: CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES

Tissue: Connective, subcutaneous and other soft tissues of abdomen

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

249a5844-0860-4db8-a0e8-3d0008942f57
2.1 GB, S3 ETag , downloads: 20
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:
2021-06-07
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/8e6m-nh52 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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