Malignant tumor, fusiform cell type - Male, 55 - Tissue image [3300730069404621] - Open Research Data - Bridge of Knowledge

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Malignant tumor, fusiform cell type - Male, 55 - Tissue image [3300730069404621]

Description

This is the histopathological image of COLON 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: 55

Clinical description: Incidentally found appendiceal tumor compressing the ureter. Tumor markers were normal. Intraoperatively, tumor of the retroperitoneal space with infiltration of the right ureter.

Gender: Male

Diagnosis:

Classification: ICD-O_3.2

Classification code: NEOPLASMS, NOS

Diagnosis: Malignant tumor, fusiform cell type

Result of the histopathological examination: Numerous sections show an infiltrate of malignant neoplasm with predominantly spindle and pleomorphic cells. Extensive areas of necrosis and areas of fibrosis are present within the tumor. IHC: SMA(+), CD99(+), vimentin(+), Beta-Catenin, Caldesmon, CD117, CD31, CD34, CD68(KP1), CD68(PG-M1), Desmin, HMB-45, MelanA, S100, negative. A microscopic image supports the diagnosis of sarcoma. The neoplasm is infiltrating the retroperitoneal fat and the ureter. There is no infiltration of the large intestine wall, small intestine, or appendix.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: DIGESTIVE ORGANS

Organ: COLON

Tissue: Appendix

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

a6d29ff6-c6d9-4ef9-9b26-56fa879fcf9e
905.1 MB, S3 ETag , downloads: 27
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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:
2020-11-16
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/najt-7q40 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

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