Classical Hodgkin lymphoma, nodular sclerosis, NOS - Male, 27 - Tissue image [9080730005564351] - Open Research Data - Bridge of Knowledge

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Classical Hodgkin lymphoma, nodular sclerosis, NOS - Male, 27 - Tissue image [9080730005564351]

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: 27

Clinical description: Tumor of supraclavicular area. Enlarged hypoechoic atypical supraclavicular lymph nodes on both sides of neck (honeycomb structure) on ultrasound. FNAB: large atypical cells.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: CHOROBA HODGKINA

Diagnosis: Classical Hodgkin lymphoma, nodular sclerosis, NOS

Result of the histopathological examination: Classical Hodgkin lymphoma, nodular sclerosis. HRS cells: Pax 5 weak +, CD15+, CD30+, MUM1+, Ki-67+, CD3-. CD20-.

Sample:

Material: FFPE

Collecting method: Excision of lesions

Topography: LYMPH NODES

Organ: LYMPH NODES

Tissue: Jugular lymph node

Type of staining: positive/IHC

Staining: Not applicable

Antibody: MUM1

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

f38fa249-112e-4578-a750-e807899db064
8.0 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:
2021-08-24
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/y8q4-hy73 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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