Dermatofibrosarcoma protuberans, fibrosarcomatous - Female, 65 - Tissue image [610073002343941] - Open Research Data - Bridge of Knowledge

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Dermatofibrosarcoma protuberans, fibrosarcomatous - Female, 65 - Tissue image [610073002343941]

Description

This is the histopathological image of BREAST 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: 65

Clinical description: Breast tumor.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: FIBROMATOUS NEOPLASMS

Diagnosis: Dermatofibrosarcoma protuberans, fibrosarcomatous

Result of the histopathological examination: Fibrosarcomatous DFSP (dermatofibrosarcoma protuberans). IHC: vimentin (+), CD 34 (+), CK AE1/3 (-), Cam 5.2 (-), CK 34beta E12 (-), CK 5.6 (-), CK 14 (-), CK 7 (-), CK 19 (-), p63 (-), EMA (-), SMA- focal weakly (+), desmin (-), caldesmon (-), CD 10 focal (+), rec. estrogen rec (-), progesterone rec (-), Her 2 (0), S100 (-), Sox 10 (-), WT1- positive membrane reaction, CD117 (-), STAT 6 (-), Ki 67 20%.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BREAST

Organ: BREAST

Tissue: Central portion of breast

Type of staining: positive/IHC

Staining: Not applicable

Antibody: HER-2

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

5063c77c-eed7-41ae-82fb-108aaeca0293
12.4 GB, S3 ETag , downloads: 22
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:
2022-06-02
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/m662-jk71 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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