Spindle cell lipoma - Male, 61 - Tissue image [6290730005947461] - Open Research Data - Bridge of Knowledge

Search

Spindle cell lipoma - Male, 61 - Tissue image [6290730005947461]

Description

This is the histopathological image of CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES 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: 61

Clinical description: Soft tumor of subcutaneous tissue of left forearm.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: LIPOMATOUS NEOPLASMS

Diagnosis: Spindle cell lipoma

Result of the histopathological examination: Spindle cell lipoma: well-circumscribed tumor composed of variably sized mature adipocytes, spindle cells and ropy collagen. Spindle cells with nuclei without atypia. Focal myxoid changes are present.

Sample:

Material: FFPE

Collecting method: Excision of lesions

Topography: CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES

Organ: CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES

Tissue: Connective, subcutaneous and other soft tissues of neck

Type of staining: positive/HE

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

07925b0c-8b7a-4b52-b728-612cfa9e272b
8.8 GB, S3 ETag , downloads: 21
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:
2021-03-31
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/6n21-6r24 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 86 times