Aneurysmal bone cyst - Female, 14 - Tissue image [427073000781271] - Open Research Data - Bridge of Knowledge

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Aneurysmal bone cyst - Female, 14 - Tissue image [427073000781271]

Description

This is the histopathological image of BONES, JOINTS AND ARTICULAR CARTILAGE OF LIMBS 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: 14

Clinical description: Tumor of the bown

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: MISCELLANEOUS BONE TUMORS

Diagnosis: Aneurysmal bone cyst

Result of the histopathological examination: In the examined material, fragments of the structure of a spindle cell and rich cell lesion with the presence of focal low-grade atypia and individual figures of cell division. In addition, numerous osteoclast multinuclear cells, hemosiderin deposits, bone formation features and single osteoid foci are visible. The morphological picture may correspond to the solid form of an aneurysmal bone cyst. However, an intraosseous well differentiated osteosarcoma cannot be completely ruled out. IHC: Ki-67 (+) in 10% of cells

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BONES, JOINTS and ARTICULAR CARTILAGE

Organ: BONES, JOINTS AND ARTICULAR CARTILAGE OF LIMBS

Tissue: Femur

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

6bcf083c-7470-448e-aaf6-0de28ba547d6
9.6 GB, S3 ETag , downloads: 23
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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:
2022-04-21
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/2hhw-tw08 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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