Large cell carcinoma, NOS - Female, 70 - Tissue image [11060629578378291] - Open Research Data - Bridge of Knowledge

Search

Large cell carcinoma, NOS - Female, 70 - Tissue image [11060629578378291]

Description

This is the histopathological image of BRONCHUS AND LUNG 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: 70

Clinical description: A tumor of the lower lobe of the left lung, peripheral localization with invasion of the pleura.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: EPITHELIAL NEOPLASMS, NOS

Diagnosis: Large cell carcinoma, NOS

Result of the histopathological examination: Large cell carcinoma of the lung A tumor composed of largepolygonal cells. Necrosis accounts for approximately 30% of the tumor area. In immunohistochemistry stains, positive reaction for CKAE1 / AE3 and negative reactions for CD56, Chromogranin, Synaptophysin, p40, TTF1 and mucicarmin.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: BRONCHUS AND LUNG

Tissue: Lower lobe, lung

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

3b200a34-bc75-4d72-98ca-dc9bc237d2f8
9.8 GB, S3 ETag , downloads: 38
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 10.34808/9ggn-2529 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 62 times