Adenocarcinoma, metastatic, NOS - Male, 70 - Tissue image [6120730031816661] - Open Research Data - Bridge of Knowledge

Search

Adenocarcinoma, metastatic, NOS - Male, 70 - Tissue image [6120730031816661]

Description

This is the histopathological image of BONES, JOINTS AND ARTICULAR CARTILAGE OF OTHER AND UNSPECIFIED SITES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 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: 2 cm tumor of Th 11 vertebra. Suspicion of metastasis.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Adenocarcinoma, metastatic, NOS

Result of the histopathological examination: Metastasis of adenocarcinoma G3 (possibly from lungs): CKAE1/AE3+, CK7 focally +, TTF1+, Napsin+, CK5/6-, CK20-, p63-, PSA-, p40-, CD30-, HEPA-, CDX2-, SATB2-, CD56-, mucicarmine focally+, Ki-67 10-20%.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: BONES, JOINTS and ARTICULAR CARTILAGE

Organ: BONES, JOINTS AND ARTICULAR CARTILAGE OF OTHER AND UNSPECIFIED SITES

Tissue: Vertebra

Type of staining: positive/HE

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: Pannoramic 1000

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

f511c71f-8a1d-4e20-920c-a90437b8f81e
655.2 MB, S3 ETag , downloads: 0
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:
2022-06-03
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/ad0v-r036 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 18 times