Hodgkin lymphoma, nodular lymphocyte predominant - Female, 38 - Tissue image [7020730007251851] - Open Research Data - Bridge of Knowledge

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Hodgkin lymphoma, nodular lymphocyte predominant - Female, 38 - Tissue image [7020730007251851]

Description

This is the histopathological image of PAROTID GLANID 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: 38

Clinical description: 2 cm palpable tumor of left parotid. 19 x 9 mm well-circumscribed hypoechoic tumor of left parotid on ultrasound. Suspicion of Warthin tumor. FNAC: lymphoid cells.

Gender: Female

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+, BCL-6+, Ki-67+, EMA-, CD3-, CD15-, CD30-, MUM1-, EBV-, BCL-2-. T cell rosettes surrounding LP cells (PD-1+, CD4+, CD3+).

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: LIP, ORAL CAVITY AND PHARYNX

Organ: PAROTID GLANID

Tissue: Parotid gland

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

d2c8c67c-b411-4718-b5cd-e7a437c44835
8.2 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/zzec-z509 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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