Merkel cell carcinoma - Male, 76 - Tissue image [5020730020708901] - Open Research Data - Bridge of Knowledge

Search

Merkel cell carcinoma - Male, 76 - Tissue image [5020730020708901]

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: 76

Clinical description: Tumor of subcutaneous tissue of left forearm.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Merkel cell carcinoma

Result of the histopathological examination: Tumor composed of small round cells. High nuclear:cytoplasmic ratio. Hyperchromatic nuclei with finely chromatin. Scant cytoplasm. High mitotic activity. Cancer cells: CKAE1/AE3+, CK7-, CK20+ (dot-like), SYN+, CHR+, CK5/6-, CD117 słabo+, S100-, LCA-, Ki-67 80%.

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 forearm

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CK 20

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

6866abf8-0167-46a3-a080-445b3d9ca75d
6.1 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:
2020-12-17
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/krgg-2c55 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 83 times