Lobular carcinoma in situ - Female, 44 - Tissue image [3300730069464061] - Open Research Data - Bridge of Knowledge

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Lobular carcinoma in situ - Female, 44 - Tissue image [3300730069464061]

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: 44

Clinical description: Left breast tumour. LN (lobular neoplasia)

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Lobular carcinoma in situ

Result of the histopathological examination: There are numerous LCIS (Lobular carcinoma in situ / LN) foci, involving multifocally TDLU structures and confluent lesions of the adenosis type, in the samples of the dysplastic plate. The population of neoplastic lobular cells also involves some of the ductal structures, locally forming solid nests in them (florid LCIS). Intralobular neoplasia is present in all sections of the entire dysplastic plate.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BREAST

Organ: BREAST

Tissue: Breast, NOS

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

5950beaa-e3e9-4b46-b4c5-ea58e2cb87f7
10.2 GB, S3 ETag , downloads: 18
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:
2020-08-13
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/7rgw-ga96 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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