Mullerian mixed tumor - Female, 45 - Tissue image [52707300234491] - Open Research Data - Bridge of Knowledge

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Mullerian mixed tumor - Female, 45 - Tissue image [52707300234491]

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: 45

Clinical description: Tumor of the uterus.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: COMPLEX MIXED AND STROMAL NEOPLASMS

Diagnosis: Mullerian mixed tumor

Result of the histopathological examination: Malignant mixed mullerian tumor. IHC: CKAE1/3 (+), EMA (+), vimentin (+), p16 (+) in both components (focal in epithelioid cells), p53 (-), CK5/6 (-), p40 (-), ER (+) in single cells, PR (+) in single cells, CEA (+) in single cells, PTEN (+) in single cells, synaptophysin (-), chromogranin (-), podoplanin (-), Ki67 index up to 50%.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: FEMALE GENITAL ORGANS

Organ: CORPUS UTERI

Tissue: Corpus uteri

Type of staining: positive/IHC

Staining: Not applicable

Antibody: Chromogranin A

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

a01137c0-6639-4766-bfd5-2c1046b20a66
11.9 GB, S3 ETag , downloads: 19
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:
2022-05-24
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/2znt-mn20 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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