Tubular adenocarcinoma - Female, 80 - Tissue image [6110730021441551] - Open Research Data - Bridge of Knowledge

Search

Tubular adenocarcinoma - Female, 80 - Tissue image [6110730021441551]

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: 80

Clinical description: Cecum tumor with obstruction. The tumor is located just behind the Bauhin valve, macroscopically infiltrates the intestinal wall to adjacent adipose tissue.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Tubular adenocarcinoma

Result of the histopathological examination: Bauhin's valve tumor with moderately differentiated mucinous tubular adenocarcinoma (adenocarcinoma tubulare partim mucinosum G2 infiltrativum). The invasive neoplasm crosses the muscular layer of the intestinal wall and penetrates deep into the surrounding fat tissue, as well as locally crosses the serosa and reaches the radial surgical margin of the mesentery. The tumor presents features of perineural invasion (PNI-1). It is accompanied by the presence of vascular emboli, including those located outside the intestinal wall (LVI-1). The presence of numerous micro-groups and isolated cells (high-grade budding) was noted on the periphery of the cancer infiltrate.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: DIGESTIVE ORGANS

Organ: COLON

Tissue: Ascending 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

330109c8-9be4-4350-9073-8f5bbdb000a6
9.2 GB, S3 ETag , downloads: 19
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:
2022-06-08
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/mkb0-7186 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 43 times