Adrenal gland, unspecified - Male, 1 - Tissue image [7220729599721941] - Open Research Data - Bridge of Knowledge

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Adrenal gland, unspecified - Male, 1 - Tissue image [7220729599721941]

Description

This is the histopathological image of ADRENAL GLAND 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: 1

Clinical description: Adrenal tumour. Suspected neuroblastoma.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Adrenal gland, unspecified

Result of the histopathological examination: Neuroblastoma. Schwannian stroma poor, poorly differentiated subtype. Tumour derives and is limited to adrenal gland. Neoplastic cell emboli are present at the peripheries of the tumor. Areas of haemorrhages within the tumour. MKI low with scarse areas with MKI intermediate. Low risk tumour (Shimada classification).

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: THYROID AND OTHER ENDOCRINE GLANDS

Organ: ADRENAL GLAND

Tissue: Suprarenal gland

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

87a3b322-5bec-4952-9455-17d73d5ccec8
7.9 GB, S3 ETag , downloads: 18
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 10.34808/7z76-fy77 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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