Hodgkin lymphoma, nodular lymphocyte predominant - Male, 75 - Tissue image [11010630088555151] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Hodgkin lymphoma, nodular lymphocyte predominant - Male, 75 - Tissue image [11010630088555151]

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: 75

Clinical description: History of Hodgkin lymphoma and chemotherapy. Enlarged hypoechoic axillary lymph nodes on ultrasound. PET scans: right axillary lymph nodes with increased metabolic activity.

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+, Oct2+, BOB1+, Ki-67 +, CD15-, CD30-, CD3-, S100-, CKAE1-/AE3-.

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: s100

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

a65a006b-6f0a-4aad-b12b-1f3ccb6c9416
601.3 MB, 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/t8zh-td84 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 58 times