Colon, unspecified - Female, 85 - Tissue image [3300730069408481] - Open Research Data - Bridge of Knowledge

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Colon, unspecified - Female, 85 - Tissue image [3300730069408481]

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: 85

Clinical description: Tumour of the colon

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Colon, unspecified

Result of the histopathological examination: Complex adenocarcinoma: a well-differentiated component made of well-differentiated glandular tubes and a low-differentiated component built of solid areas with the formation of adenoid structures. The whole supports the diagnosis of primary colorectal adenocarcinoma with features of local dedifferentiation (adenocarcinoma G3 / focal high grade). Emboli of cancer cells in the lumen of the vessels. The cancer infiltration covers the entire thickness of the intestinal wall, intestinal adipose tissue and locally destroys the surface of serous membrane. CK20 (+) only in the well-differentiated component.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: DIGESTIVE ORGANS

Organ: COLON

Tissue: Colon, NOS

Type of staining: positive/IHC

Staining: Not applicable

Antibody: CK 20

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

9bfb6491-f277-4812-bb94-c95a0bb54728
10.0 GB, S3 ETag , downloads: 21
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hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
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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:
2020-08-12
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/hdyq-9779 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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