Urothelial carcinoma, NOS - Male, 79 - Tissue image [2140630014061691] - Open Research Data - Bridge of Knowledge

Search

Urothelial carcinoma, NOS - Male, 79 - Tissue image [2140630014061691]

Description

This is the histopathological image of BLADDER 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: 79

Clinical description: History of invasive urothelial carcinoma high grade .

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: TRANSITIONAL CELL PAPILLOMAS AND CARCINOMAS

Diagnosis: Urothelial carcinoma, NOS

Result of the histopathological examination: Urothelial carcinoma high-grade. Tumor invades muscularis propria.

Sample:

Material: FFPE

Collecting method: Surgical biopsy

Topography: URINARY TRACT

Organ: BLADDER

Tissue: Bladder, 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

27ea260b-6757-479a-8b75-80774f52caf5
14.2 GB, S3 ETag , downloads: 20
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:
2021-11-22
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/4bxt-7486 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 53 times