Invasive breast carcinoma of no special type - Female, 50 - Tissue image [5310730015834251] - Open Research Data - Bridge of Knowledge

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Invasive breast carcinoma of no special type - Female, 50 - Tissue image [5310730015834251]

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: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.

The detailed information about the patient, sample, and diagnosis are as follows:

Patient:

Age: 50

Clinical description: Breast tumour

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: DUCTAL AND LOBULAR NEOPLASMS

Diagnosis: Invasive breast carcinoma of no special type

Result of the histopathological examination: Invasive breast carcinoma of no special type, G2. Nottingham: tubular formation - 2 point, atypia -2 point, mitosis - 3 point. There was no neuro or angioinvasion. IHC: ER 8/8 (+++ in 80% of FQ), PR 5/8 (+++ in 25% of FQ), HER-2 1+ (negative), index Ki67 40-50%, e-cadherin + , p120 + (membranous and cytoplasmic). The infiltrate is located 2.5 mm from the front surgical margin and 3 mm from the surgical margin on the fascia. Additionally, foci of ductal carcinoma in situ (DCIS), NG2, with solid, ethmoid and comedo-like necrosis, with visible microcalcifications. DCIS foci are approximately 1mm from the fascia surgical margin.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BREAST

Organ: BREAST

Tissue: Breast, NOS

Type of staining: positive/IHC

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: VS200 Olympus

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

ebc6d996-36de-400d-ac56-30cac57bac91
1.5 GB, S3 ETag , downloads: 0
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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:
2022-04-02
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/5jdf-p814 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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