Large cell neuroendocrine carcinoma - Male, 63 - Tissue image [1206063001763171] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Large cell neuroendocrine carcinoma - Male, 63 - Tissue image [1206063001763171]

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: 63

Clinical description: Tumor of the upper lobe of the left lung, 5 cm in diameter, infiltrating the parietal pleura and the rib

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: EPITHELIAL NEOPLASMS, NOS

Diagnosis: Large cell neuroendocrine carcinoma

Result of the histopathological examination: Large cell neuroendocrine carcinoma, Grade 3, pT3, PL3, Large cells (~ 3x the size of small cell carcinoma cells) with abundant cytoplasm, variably granlar chromatin, nuclear pleomorphism, visible nucleoli Immunophenotype: CD56 (+) / TTF1 (-) / p40 (-) Proliferation Index Ki67 : 75%.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: BRONCHUS AND LUNG

Tissue: Upper 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

3d935d59-fb0a-4b91-9680-bf9188cfd09e
8.8 GB, S3 ETag , downloads: 16
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 10.34808/31zd-1d16 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 63 times