Embryonal rhabdomyosarcoma, NOS - Female, 19 - Tissue image [5050730010507281] - Open Research Data - Bridge of Knowledge

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Embryonal rhabdomyosarcoma, NOS - Female, 19 - Tissue image [5050730010507281]

Description

This is the histopathological image of EYE AND ADNEXA 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: Tumor of right orbit. Rapid growth: two times bigger in ten days. No reaction to steroids.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: MYOMATOUS NEOPLASMS

Diagnosis: Embryonal rhabdomyosarcoma, NOS

Result of the histopathological examination: Embryonal rhabdomyosarcoma: primitive mesenchymal cells (spindled ond oval). Scant cytoplasm. Hyperchromatic nuclei. Areas of necrosis. High mitotic activity. MyoD1+, Myogenina+, DES+, CD56+, CD99+/-, LCA-, S100-, CKAE1/AE3-, EMA-, SYN-.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: EYE, BRAIN AND OTHER PARTS OF CENTRAL NERVOUS SYSTEM

Organ: EYE AND ADNEXA

Tissue: Orbit, NOS

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

3d66b6bf-d0d6-409d-ad5d-e529069199bc
8.6 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:
2021
Verification date:
2020-07-28
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/3829-1v94 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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