Tuberculosis of lung, without mention of bacteriological or histological confirmation - Male, 65 - Tissue image [5310730015847051] - Open Research Data - Bridge of Knowledge

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Tuberculosis of lung, without mention of bacteriological or histological confirmation - Male, 65 - Tissue image [5310730015847051]

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: 65

Clinical description: Autopsy samples. Tuberculosis and pneumonia. Circulatory and respiratory failure.

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter I - Certain infectious and parasitic diseases

Diagnosis: Tuberculosis of lung, without mention of bacteriological or histological confirmation

Result of the histopathological examination: Diffuse inflammatory lesions in the lungs with numerous lesions of caseous necrosis, caseous granulomas and giant Langhans type multinuclear cells on the periphery. There are numerous acid-fast mycobacteria in the foci of necrosis (Ziehl-Neelsen staining + in many samples). Additionally, secondary fungal infection (Grocott +) was confirmed. The whole confirms the diagnosis of bilateral tuberculous pneumonia. In addition, foci of atelectasis, edema, congestion, pneumoconiosis, thrombus and myeloid embolism in individual vessels. The pulmonary pleura is focally covered with fibrinous exudate.

Sample:

Material: FFPE

Collecting method: Autopsy specimen

Topography: RESPIRATORY SYSTEM AND INTRATORACIC ORGANS

Organ: BRONCHUS AND LUNG

Tissue: Lung, NOS

Type of staining: positive/HC

Staining: Grocott

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

9bef5d1a-46ed-47f1-94e0-a2fd8c097837
8.9 GB, S3 ETag , downloads: 18
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:
2022
Verification date:
2020-08-06
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/pqeq-rg23 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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