Rhabdomyosarcoma, NOS - Male, 11 - Tissue image [5270730023435341] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Rhabdomyosarcoma, NOS - Male, 11 - Tissue image [5270730023435341]

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: 11

Clinical description: Tumor of the finger.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: MYOMATOUS NEOPLASMS

Diagnosis: Rhabdomyosarcoma, NOS

Result of the histopathological examination: Fragment of metacarpal bone with surrounding soft tissues (skeletal muscles and a fragment of skin) with a residual infiltration of rhabdomyosarcoma. IHC desmin (+), Myo D1 (-), myogenin (-), CK AE1/3- positive reaction in single cells, SMA (-).

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES

Organ: CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES

Tissue: Connective, subcutaneous and other soft tissues of hand

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CK PAN (AE1/AE3)

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

2ce79c29-80ca-4f49-8273-e517d6ebbd0d
9.4 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:
2022
Verification date:
2022-05-21
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/v1v6-f549 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 54 times