Neoplasm, metastatic - Male, 75 - Tissue image [10010729534338821] - Open Research Data - Bridge of Knowledge

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Neoplasm, metastatic - Male, 75 - Tissue image [10010729534338821]

Description

This is the histopathological image of BRONCHUS AND LUNG 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: 75

Clinical description: A tumor of the right upper lobe of the lung, 2 cm in diameter; located peripherially; without pleural infiltration. In the clinical history, the state after surgery and radiotherapy in 2004. due to adenoid cystic carcinoma of sinuses

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: NEOPLASMS, NOS

Diagnosis: Neoplasm, metastatic

Result of the histopathological examination: Lung metastasis of Adenoid cystic carcinoma CD56 - negative staining in tumor cells; useful in differential diagnosis of neuroendocrine tumors

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: BRONCHUS AND LUNG

Tissue: Upper lobe, lung

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CD 56

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

e60e0e4c-7d95-43f7-891b-4518d961b963
11.0 GB, S3 ETag , downloads: 15
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:
2021-08-18
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/2r36-rs78 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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