Lobular carcinoma, pleomorphic - Female, 43 - Tissue image [3140630024304681] - Open Research Data - Bridge of Knowledge

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Lobular carcinoma, pleomorphic - Female, 43 - Tissue image [3140630024304681]

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: 43

Clinical description: 16 x 9 mm spicular tumor of left breast. Core needle biopsy: invasive breast carcinoma. History of chemotherapy.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: DUCTAL AND LOBULAR NEOPLASMS

Diagnosis: Lobular carcinoma, pleomorphic

Result of the histopathological examination: Invasive lobular carcinoma (pleomorphic type with numerous signet ring cells)- NHG2 (3+3+1: 2 mitoses/10 HPF). Partial response after chemotherapy (> 80% tumor left). Lobular neoplasia is present. Lymp node with metastasis of carcinoma (e-cadherin -, p120 reakcja cytoplazmatyczna, CK7+).

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BREAST

Organ: BREAST

Tissue: Outer breast

Type of staining: positive/IHC

Staining: Not applicable

Antibody: p120 catenin

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

6db0c7a7-958d-4c7f-8442-e6784c32488e
12.3 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:
2021-03-01
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/11c4-3h38 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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