Squamous cell carcinoma, NOS - Female, 72 - Tissue image [12060630017627781] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Squamous cell carcinoma, NOS - Female, 72 - Tissue image [12060630017627781]

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: 72

Clinical description: Tumor of bronchus in the left lower lobe of the left lobe, 6.5 cm in diameter

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: SQUAMOUS CELL NEOPLASMS

Diagnosis: Squamous cell carcinoma, NOS

Result of the histopathological examination: Squamous cell carcinoma of the lung, G3, pT3 pN0, PL0 (according to the 8th edition AJCC) R0 Sheets or islands of large polygonal malignant cells, part with intercellular bridges Immunophenotype: p40(+)/TTF1(-)/CD56(-)

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: BRONCHUS AND LUNG

Tissue: Lower lobe, bronchus

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

86de4f95-87ef-4c21-92fc-137a5c489168
7.6 GB, S3 ETag , downloads: 1
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:
2021-10-18
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/adv4-zj32 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 12 times