Hodgkin lymphoma, nodular lymphocyte predominant - Male, 32 - Tissue image [7020730007251081] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Hodgkin lymphoma, nodular lymphocyte predominant - Male, 32 - Tissue image [7020730007251081]

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: 32

Clinical description: History of Hodgkin lymphoma and chemotherapy. PET scan revealed metabolically active cervical lymph nodes.

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 (NLPHL). LP cells: CD20+, Pax5 weak+, Ki-67+, EMA focally+, CD3-, CD15-, CD30-, MUM1-, EBV-, CD23-, CD68-. T cell rosettes surrounding LP cells (PD-1+, CD3+).

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: LYMPH NODES

Organ: LYMPH NODES

Tissue: Cervical lymph node

Type of staining: positive/HE

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

f117f69b-26a5-4b1c-8329-dbcac62e03eb
15.0 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:
2020-08-29
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/0mvs-sh30 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 96 times