Diffuse large B-cell lymphoma, NOS - Female, 56 - Tissue image [5020730020709361] - Open Research Data - Bridge of Knowledge

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Diffuse large B-cell lymphoma, NOS - Female, 56 - Tissue image [5020730020709361]

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: 56

Clinical description: Enlarged retroperitoneal lymph nodes. History of breast cancer.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: MATURE B-CELL LYMPHOMAS

Diagnosis: Diffuse large B-cell lymphoma, NOS

Result of the histopathological examination: DLBCL- Diffuse proliferation of large atypical lymphoid cells. Neoplastic cells infiltrate fatty tissue. Lymphoma cells: CD20+, CD10+, BCL-6+, BCL-2+, MUM1 focally+, C-MYC focally+, Cyclin D1-, CD30-, CD3-, CKAE1/AE3-, Ki-67 80%.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: LYMPH NODES

Organ: LYMPH NODES

Tissue: Retroperitoneal lymph node

Type of staining: positive/IHC

Staining: Not applicable

Antibody: Ki-67

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

cd8b708e-1d9d-470e-9353-ad2e648691e5
2.9 GB, S3 ETag , downloads: 19
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 10.34808/7094-ga61 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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