Lobular carcinoma, NOS - Female, 64 - Tissue image [6260730021885601] - Open Research Data - Bridge of Knowledge

Search

Lobular carcinoma, NOS - Female, 64 - Tissue image [6260730021885601]

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: 64

Clinical description: 3 cm palpable mobile tumor of right breast.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: DUCTAL AND LOBULAR NEOPLASMS

Diagnosis: Lobular carcinoma, NOS

Result of the histopathological examination: Invasive lobular carcinoma NHG2 (e-cadherin -): ER+, PR single cells +, HER2 1+, Ki-67 30%.

Sample:

Material: FFPE

Collecting method: Core-needle biopsy

Topography: BREAST

Organ: BREAST

Tissue: Lower-outer 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

62c0e08e-8dde-4014-828f-0c60741db56d
3.5 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:
2022
Verification date:
2021-02-23
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/x466-w744 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 91 times