Endometrioid carcinoma, NOS - Female, 76 - Tissue image [3290730016647291] - Open Research Data - Bridge of Knowledge

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Endometrioid carcinoma, NOS - Female, 76 - Tissue image [3290730016647291]

Description

This is the histopathological image of OVARY 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: 76

Clinical description: Left adnexa. Clinically leiomyoma connected with left ovary and left sacro-uterine ligament. Right adnexa: Fallopian tube 5.5 cm long, diameter up to 0.8 cm, without any changes, and a separate lying ovary 2.2x1.2x1 cm, without macroscopic changes. Left adnexa with leiomyoma: Ovary 2x1.2x1.2 cm. On cut sections of normal structure, connected with a fragment of fallopian tube or ligament of 2 cm length. On the opposite there is a cystic tumor with a smooth external surface and dissected capsule, measuring: 2.8 x 2.5 x 1.8 cm.

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Endometrioid carcinoma, NOS

Result of the histopathological examination: Endometrioid carcinoma G3 of the ovary. The tumor does not infiltrate the external cyst surface.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: FEMALE GENITAL ORGANS

Organ: OVARY

Tissue: Ovary

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

ff93e6f4-fc4d-4213-8863-d6d7c68b6605
1.5 GB, S3 ETag , downloads: 20
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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:
2020-11-17
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/0v8a-9y89 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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