Hodgkin lymphoma, nodular lymphocyte predominant - Male, 55 - Tissue image [11010630088551271] - Open Research Data - Bridge of Knowledge

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Hodgkin lymphoma, nodular lymphocyte predominant - Male, 55 - Tissue image [11010630088551271]

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: 55

Clinical description: 5 cm firm tumor in left axilla.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: CHOROBA HODGKINA

Diagnosis: Hodgkin lymphoma, nodular lymphocyte predominant

Result of the histopathological examination: Hodgkin lymphoma, nodular lymphocyte predominant. LP cells: CD20+, Pax 5 +, OCT2+, BOB1 weak +, Bcl6+, Cyclin D1+, Ki-67 +, CD3-, CD10-, CD23-, CD30-, MUM1-, EMA-, EBVLMP1-, PD1-, CKAE1/AE3-. T cell rosettes surrounding LP cells: CD3+, PD1+.

Sample:

Material: FFPE

Collecting method: Core-needle biopsy

Topography: LYMPH NODES

Organ: LYMPH NODES

Tissue: Axillary lymph node

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CK PAN (AE1/AE3)

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

1d49bd03-0b32-4e28-9c9b-93c17eb1cea2
1.8 GB, S3 ETag , downloads: 17
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:
2021-10-20
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/r828-vz08 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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