Malignant neoplasm of prostate - Male, 61 - Tissue image [1140629585378971] - Open Research Data - Bridge of Knowledge

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Malignant neoplasm of prostate - Male, 61 - Tissue image [1140629585378971]

Description

This is the histopathological image of PROSTATE GLAND 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: 61

Clinical description: Prostate carcinoma

Gender: Male

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter II - Neoplasms

Diagnosis: Malignant neoplasm of prostate

Result of the histopathological examination: Invasive carcinoma with high grade prostate intraepithelial neoplasia (HG-PIN) areas in both lobes. Remaining gland with markers of benign nodular hyperplasia and atrophy of the glands. Samples from the right lobe show a area of carcinoma which constitutes a total of <5% of the gland's volume, reaching the cut line from the urethral side at 2 mm (Gleason 3 + 4). The Gleason 4 component accounts for 20% of the tumor. Perineural invasion can be focally spotted. There was no emboli within the vessels or spread beyond the pseudocapsule of the gland.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: MALE GENITAL ORGANS

Organ: PROSTATE GLAND

Tissue: Prostate gland

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

4fe399ee-789f-4800-b481-73ff18458295
7.1 GB, S3 ETag , downloads: 1
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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:
2021-04-30
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/md28-wr13 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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