Mixed tumor, NOS - Female, 78 - Tissue image [4270730007813791] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Mixed tumor, NOS - Female, 78 - Tissue image [4270730007813791]

Description

This is the histopathological image of CORPUS UTERI 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: 78

Clinical description: Tumor of the uterine corpus

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: COMPLEX MIXED AND STROMAL NEOPLASMS

Diagnosis: Mixed tumor, NOS

Result of the histopathological examination: Carcinosarcoma (MMMT), pT1bNx (FIGO Stage at least IB) COMMENT The largest dimentionis 13 cm. The infiltrate covers more than half the thickness of the uterine corpus. The sarcomatous component is rhabdomyosarcoma. Mitotic index - 14 / 10HPF

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: FEMALE GENITAL ORGANS

Organ: CORPUS UTERI

Tissue: Fundus uteri

Type of staining: positive/HE

Staining: Hematoxylin & eosin

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

0ed68ae5-286a-4057-b452-75dae6ec2136
10.4 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:
2022-04-21
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/gesh-5q26 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 52 times