Seminoma, NOS - Male, 33 - Tissue image [502073002070161] - Open Research Data - Bridge of Knowledge

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Seminoma, NOS - Male, 33 - Tissue image [502073002070161]

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: 33

Clinical description: 2 months history of tumor of left testis. Hypoechoic well-circumscribed tumor on ultrasound.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: GERM CELL NEOPLASMS

Diagnosis: Seminoma, NOS

Result of the histopathological examination: Seminoma of testis. Polygonal tumor cells with well-defined cell membranes, central nuclei and prominent nucleoli. Pale cytoplasm. Focal lymphocytic infiltration. Sheets of neoplastic cells interrupted by fibrovascular septa. Intratubular seminoma. Germ cell neoplasia in situ. Epididymis without seminoma infiltration. Leydig cells hyperplasia in testis parenchyma.

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

049ced13-6266-4ce0-99da-d640dc9d106e
12.4 GB, S3 ETag , downloads: 0
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:
2021-02-06
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/1rmx-rz59 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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