Bronchiolo-alveolar adenocarcinoma, NOS - Female, 63 - Tissue image [11220630008761521] - Open Research Data - Bridge of Knowledge

Your account

login

Search

Bronchiolo-alveolar adenocarcinoma, NOS - Female, 63 - Tissue image [11220630008761521]

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, 1.5 cm in diameter, located peripherally. The distance from the pleura is 0.1 cm.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Bronchiolo-alveolar adenocarcinoma, NOS

Result of the histopathological examination: Lung adenocarcinoma, lepidic type, G1, pT1b Neoplastic cells growing along the surface of the alveolar air spaces Foci of stromal invasion are characterized by angulated glands, desmoplastic stroma and increased cytologic atypia. Immunohistochemical stains: positive staining for TTF-1 and negative staining for p40 and CD56.

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

91e02e71-1348-458d-a3e0-232824706183
3.9 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:
2021-10-15
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/fwbq-t749 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

Authors

seen 19 times