Alveolar rhabdomyosarcoma - Female, 19 - Tissue image [5050730010507391] - Open Research Data - Bridge of Knowledge

Search

Alveolar rhabdomyosarcoma - Female, 19 - Tissue image [5050730010507391]

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: 19

Clinical description: Several months history of increasing pain of foot. 6cm tumor on lateral surface of foot.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: MYOMATOUS NEOPLASMS

Diagnosis: Alveolar rhabdomyosarcoma

Result of the histopathological examination: Alveolar rhabdomyosarcoma: solid subtype- sheets of small neoplastic cells separated by thin fibrovascular septae. Myogenin+, MyoD1+, DES+, VIM+, CD56+, FLI1-, LCA-, HMB-45-, CD99-, CHR-, Ki-67 80%.

Sample:

Material: FFPE

Collecting method: Surgical biopsy

Topography: CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES

Organ: CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES

Tissue: Connective, subcutaneous and other soft tissues of foot

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CD 45 (LCA)

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

b875e748-5283-442e-a70f-47d6dd4e6890
5.7 GB, S3 ETag , downloads: 0
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:
2020-07-28
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/x1x8-th14 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 23 times