Mantle cell lymphoma - Female, 70 - Tissue image [5040730027995061] - Open Research Data - Bridge of Knowledge

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Mantle cell lymphoma - Female, 70 - Tissue image [5040730027995061]

Description

This is the histopathological image of BONES, JOINTS AND ARTICULAR CARTILAGE OF OTHER AND UNSPECIFIED SITES 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: 70

Clinical description: Generalized lymphadenopathy.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: MATURE B-CELL LYMPHOMAS

Diagnosis: Mantle cell lymphoma

Result of the histopathological examination: Trepanobioptate containing bone marrow with cellularity of 70% with a population of small lymphocytes of immunophenotype: CD20(+), CD5(+), Cyclin D1(+), CD23(-), CD43(-). Within the background present CD3+ lymphocyte population and preserved cells of all hematopoietic lineages without maturation abnormalities, without CD34+ blasts, and without features of fibrosis. The histological picture may confirm marrow involvement by mantle cell lymphoma (MCL).

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BONES, JOINTS and ARTICULAR CARTILAGE

Organ: BONES, JOINTS AND ARTICULAR CARTILAGE OF OTHER AND UNSPECIFIED SITES

Tissue: Ilium

Type of staining: positive/IHC

Staining: Not applicable

Antibody: Cyclin D1

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

a909c62e-9a96-4758-a367-c223d7a991bd
1.7 GB, S3 ETag , downloads: 26
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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:
2022
Verification date:
2022-04-19
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/hyww-ne10 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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