Hurthle cell carcinoma - Not available, 65 - Tissue image [3300730069479201] - Open Research Data - Bridge of Knowledge

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Hurthle cell carcinoma - Not available, 65 - Tissue image [3300730069479201]

Description

This is the histopathological image of THYROID 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: 65

Clinical description: A thyroid lobe measuring 5.5x4x4 cm. An ill-defined, beige tumor measuring approximately 4.4x2.8x2 cm was present on sectioning.

Gender: Not available

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Hurthle cell carcinoma

Result of the histopathological examination: Hurtle cell carcinoma, widely invasive. Tumor confined to the thyroid gland removed completely. Features of angioinvasion in single blood vessels at the periphery of the tumor are present. IHC: calcitonin(-), synaptophysin (-/+), chromogranin A(-), TTF1(+), Ki67 10%. Mitotic figures: 1/10 HPF.

Sample:

Material: FFPE

Collecting method: Surgical specimen

Topography: THYROID AND OTHER ENDOCRINE GLANDS

Organ: THYROID GLAND

Tissue: Thyroid, 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

30824154-6e84-4234-a7de-0b7a7bdbe483
1.0 GB, S3 ETag , downloads: 20
The file hash is calculated from the formula
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:
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:
2021-04-06
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/0w29-dz07 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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