Malignant neoplasm of corpus uteri - Female, 64 - Tissue image [5240730032373131] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Malignant neoplasm of corpus uteri - Female, 64 - Tissue image [5240730032373131]

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: 64

Clinical description: Erosio, HSIL in cytology, confirmed by biopsy

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Malignant neoplasm of corpus uteri

Result of the histopathological examination: The endometrium partially exfoliated, atrophic with the presence of foci of atypical complex hyperplasia of the glands with areas of transformation into G2 endometrioid adenocarcinoma with features of focal squamous metaplasia. At the level of one of the corners of the uterine cavity, the tumor infiltrates the uterine wall not exceeding half of its thickness. Vascular embolism from cancer cells has not been reported.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: FEMALE GENITAL ORGANS

Organ: CORPUS UTERI

Tissue: Corpus uteri

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

74e9a2ae-39b2-4cf7-8159-29798b7cefa9
12.2 GB, S3 ETag , downloads: 15
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:
2021-10-09
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/aay3-gs83 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 45 times