Invasive micropapillary carcinoma of breast - Female, 73 - Tissue image [4250730010198461] - Open Research Data - Bridge of Knowledge

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Invasive micropapillary carcinoma of breast - Female, 73 - Tissue image [4250730010198461]

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: 73

Clinical description: History of left breast carcinoma. Currently palpable mass in right breast. Core needle biopsy: invasive carcinoma of breast.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: DUCTAL AND LOBULAR NEOPLASMS

Diagnosis: Invasive micropapillary carcinoma of breast

Result of the histopathological examination: Invasive micropapillary carcinoma of breast- NHG 2. 8 mitoses per 10 HPF. Cells of carcinoma immersed in empty spaces

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BREAST

Organ: BREAST

Tissue: Lower-inner quadrant of breast

Type of staining: positive/HE

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

d1ce41ab-d47d-4083-b9b5-d66e6feb8b2f
7.1 GB, S3 ETag , downloads: 2
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 10.34808/30vn-ca94 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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