Acute lymphadenitis, unspecified - Female, 21 - Tissue image [10110730048221171] - Open Research Data - Bridge of Knowledge

Search

Acute lymphadenitis, unspecified - Female, 21 - Tissue image [10110730048221171]

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: 21

Clinical description: Enlarged lymph node.

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XII - Diseases of the skin and subcutaneous tissue

Diagnosis: Acute lymphadenitis, unspecified

Result of the histopathological examination: Reactive follicular hyperplasia: enlarged follicles, varying in size and shape, prominent germinal centers, polarization of follicles, frequent mitoses. CD20+ and Pax5 in B cells zones, CD3+ in T cells zones, BCL2 negative in reactive germinal centers, Ki-67 high mitotic activity in germinal centers.BCL6 and CD10 in reactive germinal centres.

Sample:

Material: FFPE

Collecting method: Excision of lesions

Topography: LYMPH NODES

Organ: LYMPH NODES

Tissue: Lymph node, NOS

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CD 3

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

9e2c0134-0b93-4179-8fb6-cb1aebd55e49
8.8 GB, S3 ETag , downloads: 2
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:
2021-09-06
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/j3xn-c171 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 11 times