Tuberculosis of lung, without mention of bacteriological or histological confirmation - Male, 65 - Tissue image [5310730015842521]
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/HE
Staining: Not applicable
Antibody: Not applicable
Technology:Equipment: Pannoramic 250 3DHistech
Lens: 20x
Organization:Source: Medical University Gdańsk
Dataset file
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:
-
open in new tabCC BY-NC-SANon-commercial - Share-alike
- Raw data:
- Data contained in dataset was not processed.
- Software:
- CaseViewer 2.3
Details
- Year of publication:
- 2022
- Verification date:
- 2020-07-17
- Creation date:
- 2020
- Dataset language:
- English
- Fields of science:
-
- medical sciences (Medical and Health Sciences )
- DOI:
- DOI ID 10.34808/0dxk-g308 open in new tab
- Ethical papers:
- NKBBN/421-306/2020
- Verified by:
- Medical University of Gdańsk
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