Invasive breast carcinoma of no special type - Female, 59 - Tissue image [5030730005227301] - Open Research Data - Bridge of Knowledge

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Invasive breast carcinoma of no special type - Female, 59 - Tissue image [5030730005227301]

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: 59

Clinical description: Tumor of right breast. Breast microcalcifications on mammography and on ultrasound. Core needle biopsy: invasive breast carcinoma.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: DUCTAL AND LOBULAR NEOPLASMS

Diagnosis: Invasive breast carcinoma of no special type

Result of the histopathological examination: Invasive breast carcinoma (NST)- NHG3. Ductal carcinoma in situ (DCIS) NG3 with necrosis. High mitotic avtivity (23 mitoses per 10HPF). Presence of fibrotic focus. E-cadherin+, ER+, PR+ (in some carcinoma cells), HER-2 + (strong positive membranous reaction), Ki-67 25%.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BREAST

Organ: BREAST

Tissue: Upper-inner quadrant 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

0a7bfd65-9c71-4f0c-9dd4-b5f28fb38ee0
8.9 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:
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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:
2021-02-02
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/1cab-ge75 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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