Invasive micropapillary carcinoma of breast - Female, 40 - Tissue image [4250730010196681] - Open Research Data - Bridge of Knowledge

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Invasive micropapillary carcinoma of breast - Female, 40 - Tissue image [4250730010196681]

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: 40

Clinical description: Palpable mass in left breast. FNAC: carcinoma cells. Vacuum-assisted breast biopsy: invasive breast carcinoma.

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 breast carcinoma- NHG2. 6 mitoses por 10 HPF. Micropapillary ductal carcinoma in situ (DCIS) with necrosis, intermediate nuclear grade. ER+. PR+ (positive nuclear reaction in numerous carcinoma cells), Ki-67 20%.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BREAST

Organ: BREAST

Tissue: Upper-outer quadrant of breast

Type of staining: positive/IHC

Staining: Not applicable

Antibody: PR

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

216d83a7-0e0e-4f44-b55a-224e1b3a3587
13.1 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:
2020-12-20
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/a4fw-wn11 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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