Invasive breast carcinoma of no special type - Female, 57 - Tissue image [5260730006532611] - Open Research Data - Bridge of Knowledge

Search

Invasive breast carcinoma of no special type - Female, 57 - Tissue image [5260730006532611]

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: 57

Clinical description: Breast cancer NST G2 after chemotherapy

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 ductal breast carcinoma NST G2, after chemotherapy with approx. 50% regression. DCIS and focal lobular cancerization at the periphery of the tumor. Fibrosclerosis, ductectasiae and calcifications within the breast. Ki 67 staining

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BREAST

Organ: BREAST

Tissue: Mammary gland

Type of staining: positive/IHC

Staining: Not applicable

Antibody: Ki-67

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

532159e7-4838-46ac-9e0a-6d0be3013b55
13.3 GB, S3 ETag , downloads: 16
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:
2020-05-06
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/39f6-5e46 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 52 times