Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002088341] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Secondary malignant neoplasm of retroperitoneum and peritoneum - Male, 48 - Tissue image [7210730002088341]

Description

This is the histopathological image of RETROPERITONEUM AND PERITONEUM 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: 48

Clinical description: Tumour of the peritoneum.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Secondary malignant neoplasm of retroperitoneum and peritoneum

Result of the histopathological examination: Low-differentiated carcinoma, partially signet ring cell carcinoma, infiltrating the peritoneum. CK AE1/3 (+), CK 20 (-), CK 7 (+), CK 5,6 (-), calretynin (-), CD X2 (+), mucikarmin- focally (+).

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: RETROPERITONEUM AND PERITONEUM

Organ: RETROPERITONEUM AND PERITONEUM

Tissue: Specified parts of peritoneum

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

69486b3c-2ca2-43f4-b7d3-de2ce6b9ec55
4.0 GB, S3 ETag , downloads: 22
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:
2020-10-07
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/djcc-wy46 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 77 times