Solid papillary carcinoma with invasion - Female, 45 - Tissue image [7010730010789451] - Open Research Data - Bridge of Knowledge

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Solid papillary carcinoma with invasion - Female, 45 - Tissue image [7010730010789451]

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: 45

Clinical description: Tumor of the breast.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: DUCTAL AND LOBULAR NEOPLASMS

Diagnosis: Solid papillary carcinoma with invasion

Result of the histopathological examination: Infiltrating solid papillary carcinoma of the breast G2. Nottingham scale: tubule formation -3, nuclear atypia -2, mitotic activity -1. IHC: ER TS 8/8 (+++, 90%) PR TS 8/8 (+++, 90%) Her2: 0 (negative) Ki67: 2% Synaptophysin (+++) Chromogranin (+) CDX2(-), TTF1(-). p63(-) and CK14(-) in areas of invasion Solid papillary DCIS NG2.

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: p63

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

19e57faa-7bb5-44c0-8e2b-9ec3f0fb5df6
10.3 GB, S3 ETag , downloads: 22
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:
2022-06-29
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/kmz9-dz85 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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