Description
This is the histopathological image of SKIN 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: 68
Clinical description: A 68-year-old female patient was admitted to the Department of Pulmonology for the diagnosis of multiple in the lungs. CTscan: focal changes with spiculated outlines (27x23mm PP and 24x21mm PL) in both lungs- proliferative/inflammatory/? Moreover, infiltration in the abdominal cavity (inflammatory/hematoma/neo) in the right lateral (43x40x57mm). In addition, he reports increased dyspnea recently, weakness, decreased exercise tolerance, anemia, sweating, weight loss - about 3 kg in 2 months. Translated with www.DeepL.com/Translator (free version)
Gender: Female
Diagnosis:Classification: ICD-O_3.2
Classification code: SQUAMOUS CELL NEOPLASMS
Diagnosis: Squamous cell carcinoma, metastatic, NOS
Result of the histopathological examination: Sarcomatoid squamous cell carcinoma (CKAE1/AE3 +, vimentin +, CK7 +, CK20 -, CK5/6 + focal, p63 + focally, WT1 (-), podoplanin (-), calretinin (-), HMB45 (-), melanA (-), CD56 (-), CD34 (-), synaptophysin (-), TTF1 (-), CD99 (-), Bcl2 (-), caldesmon (-)). The surgical margin is positive.
Sample:Material: FFPE
Collecting method: Surgical biopsy
Topography: SKIN
Organ: SKIN
Tissue: Skin of trunk
Type of staining: positive/IHC
Staining: Not applicable
Antibody: CD 99
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:
- 2020-10-06
- Creation date:
- 2020
- Dataset language:
- English
- Fields of science:
-
- medical sciences (Medical and Health Sciences )
- DOI:
- DOI ID 10.34808/gr3v-ph80 open in new tab
- Ethical papers:
- NKBBN/421-306/2020
- Verified by:
- Medical University of Gdańsk
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