Synovial sarcoma, NOS - Female, 20 - Tissue image [3150630013123621] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Synovial sarcoma, NOS - Female, 20 - Tissue image [3150630013123621]

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: 20

Clinical description: Tumor of left upper limb.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: SYNOVIAL-LIKE NEOPLASMS

Diagnosis: Synovial sarcoma, NOS

Result of the histopathological examination: Synovial sarcoma: VIM+, EMA focally+, CD99+, CD56+, CKAE1/AE3-, S100-, CD34-, SMA-, HMB45-, Ki-67 30%. (FISH: presence of SS18 rearrangement).

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 upper limb and shoulder

Type of staining: positive/IHC

Staining: Not applicable

Antibody: s100

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

97ba5e24-e432-41c7-a3e8-94b653c51f95
6.2 GB, S3 ETag , downloads: 19
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:
2020-07-29
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/nn44-hs35 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 80 times