Adenocarcinoma, metastatic, NOS - Female, 69 - Tissue image [1230630016184451] - Open Research Data - Bridge of Knowledge

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Adenocarcinoma, metastatic, NOS - Female, 69 - Tissue image [1230630016184451]

Description

This is the histopathological image of HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS 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: 69

Clinical description: MRI: mixed lytic and sclerotic bone lesions. CT: abnormal thoracic lymph nodes, lesions in liver and lesions of bones. Suspicion of primary lung carcinoma with metastatses.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Adenocarcinoma, metastatic, NOS

Result of the histopathological examination: Metastasis of adenocarcinoma (most likely from lung) to bone: CK7+, TTF1+, Napsin+, CDX 2 -, CK20-, CK5/6-, CD56-, Pax8-, ER-.

Sample:

Material: FFPE

Collecting method: Bone marrow biopsy

Topography: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Organ: HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS

Tissue: Bone marrow

Type of staining: positive/IHC

Staining: Not applicable

Antibody: TTF-1

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

9035a717-c940-4bf0-8ab3-1664d9870720
1.8 GB, S3 ETag , downloads: 19
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:
2021-11-22
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/20yc-x979 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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