Adenocarcinoma, NOS - Male, 81 - Tissue image [62107300430651] - Open Research Data - Bridge of Knowledge

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Adenocarcinoma, NOS - Male, 81 - Tissue image [62107300430651]

Description

This is the histopathological image of COLON 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: 81

Clinical description: History of lower gastrointestinal bleeding incident. Intraoperatively - sigmoid tumour with taped perforation, adjacent to the abdominal wall. Macroscopically: the tumour measured 2.0x2.0x0.5cm, exceeding the entire thickness of the wall, superficially infiltrating the fatty tissue.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Adenocarcinoma, NOS

Result of the histopathological examination: Colorectal tubular adenocarcinoma G2. The neoplasm contains a mucinous adenocarcinoma component, which accounts for approximately 15% of the tumour mass. The cancer infiltrates the muscular wall.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: DIGESTIVE ORGANS

Organ: COLON

Tissue: Sigmoid colon

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

beb0c8c2-a71d-4146-9f94-193825293a49
1.2 GB, S3 ETag , downloads: 1
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:
2018-11-19
Creation date:
2018
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/pfjv-8h07 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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