Adenocarcinoma, metastatic, NOS - Female, 76 - Tissue image [4080730010644561] - Open Research Data - Bridge of Knowledge

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Adenocarcinoma, metastatic, NOS - Female, 76 - Tissue image [4080730010644561]

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: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.

The detailed information about the patient, sample, and diagnosis are as follows:

Patient:

Age: 76

Clinical description: Septic shock. Acute pulmonary edema. Left lung abscess. Bronchopneumonia.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Adenocarcinoma, metastatic, NOS

Result of the histopathological examination: In the lymphatic vessels of the pleura there are emboli of adenocarcinoma cells with a microtubular architecture. The whole morphological picture and immunophenotype indicate the point of origin of the tumor to the genital organs (most likely the fallopian tube, or cervix). Numerous samples show pulmonary edema with passive hyperemia of interalveolar septa and pulmonary vessels, and early bronchopneumonia with neutrophil dominance - probable bacterial etiology. There are also abscesses and micro-abscesses as well as fibrin-necrotic deposits on the pleural surface in the lung parenchyma.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: BRONCHUS AND LUNG

Tissue: Lung, NOS

Type of staining: positive/HE

Staining: Not applicable

Antibody: Not applicable

Technology:

Equipment: VS200 Olympus

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

0990ca71-1e6f-454a-869f-d89be883f4c2
1.9 GB, S3 ETag , downloads: 19
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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:
2022
Verification date:
2022-03-30
Creation date:
2022
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/samf-0076 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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