Signet ring cell adenocarcinoma - Male, 72 - Tissue image [12060630017622381] - Open Research Data - Bridge of Knowledge

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Signet ring cell adenocarcinoma - Male, 72 - Tissue image [12060630017622381]

Description

This is the histopathological image of STOMACH 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: 72

Clinical description: In the wall of the body and the antrumof the stomach, on the lesser curvature, there is a thickening of dimensions 4.5x4.5x1.2 cm. Condition after preoperative chemotherapy.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: CYSTIC, MUCINOUS AND SEROUS NEOPLASMS

Diagnosis: Signet ring cell adenocarcinoma

Result of the histopathological examination: Poorly cohesive carcinoma of the stomach, G3 (according to Lauren, diffuse type), ypT3 ypN0 TRG2 (according to AJCC 8th edition) Neoplastic cells are isolated or arranged in small aggregates without well formed glands Part of neoplastic cells is signet ring cell type

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: DIGESTIVE ORGANS

Organ: STOMACH

Tissue: Lesser curvature of stomach, NOS

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

6bfda29c-c075-46ad-97af-6aa0d2d22f4e
8.6 GB, S3 ETag , downloads: 18
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:
2021-10-15
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/ahya-6149 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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