Adenocarcinoma, metastatic, NOS - Male, 70 - Tissue image [9100730003277251] - Open Research Data - Bridge of Knowledge

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Adenocarcinoma, metastatic, NOS - Male, 70 - Tissue image [9100730003277251]

Description

This is the histopathological image of BONES, JOINTS AND ARTICULAR CARTILAGE OF LIMBS 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: 70

Clinical description: History of prostatic carcinoma (Gleason 3+4) with metastases to bones. History of radiotherapy. Suspicion of metastases to femur.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Adenocarcinoma, metastatic, NOS

Result of the histopathological examination: Metastasis prostatic adenocarcinoma: CKAE1/AE3+, AMACR+, PSA+, CK20 singular cells +, TTF1 singular cells +, CK7-, CDX2-. CKAE1/AE3: cytoplasmic expression.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BONES, JOINTS and ARTICULAR CARTILAGE

Organ: BONES, JOINTS AND ARTICULAR CARTILAGE OF LIMBS

Tissue: Femur

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CK PAN (AE1/AE3)

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

e8d0b6dc-c349-43a7-9a99-ea0e419a3212
7.2 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:
2021-08-27
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/hdb6-8954 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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