Malignant melanoma of trunk - Male, 50 - Tissue image [6210730043059871] - Open Research Data - Bridge of Knowledge

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Malignant melanoma of trunk - Male, 50 - Tissue image [6210730043059871]

Description

This is the histopathological image of LYMPH NODES 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: 50

Clinical description: Status after excision of the skin tumor on the right of the back (Dgn: pT4 nodular cutaneous melanoma). Pathological lymph nodes in the right armpit, next pathological lymph nodes just under the skin superficially.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Malignant melanoma of trunk

Result of the histopathological examination: The presence of melanoma macrometastases, including local invasion of the capsule and tendency to necrosis, was found in 13 out of 15 resected lymph nodes of the right armpit.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: LYMPH NODES

Organ: LYMPH NODES

Tissue: Thoracic lymph node

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

ce74f74a-4eeb-4805-9f11-fa11c78eb92b
8.9 GB, S3 ETag , downloads: 3
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:
2022-06-10
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/r13x-c259 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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