Testis, unspecified - Male, 39 - Tissue image [7220729599711411] - Open Research Data - Bridge of Knowledge

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Testis, unspecified - Male, 39 - Tissue image [7220729599711411]

Description

This is the histopathological image of TESTIS 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: 39

Clinical description: Tumour of the testicle

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Testis, unspecified

Result of the histopathological examination: In testicular tumor specimens, a seminoma is found without a non-seminoma malignancy component. IHC confirms the diagnose (OCT3/4+, Podoplanina+, PLAP+, CD30-, AFP-, Glypican3-). Areas of necrosis have been identified within the tumor. Few neoplastic cells emboli in the lumen of lymph / blood vessels present. The neoplastic infiltration is focal, shallowly covers the whitish sheath, without invading the vaginal sheath.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: MALE GENITAL ORGANS

Organ: TESTIS

Tissue: Testis, 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

9d58bdeb-9966-4f22-a2a6-84f8599222cf
10.1 GB, S3 ETag , downloads: 22
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:
2021
Verification date:
2021-01-25
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/m2bk-0r51 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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