Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) - Female, 67 - Tissue image [11010630088565141] - Open Research Data - Bridge of Knowledge

Search

Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) - Female, 67 - Tissue image [11010630088565141]

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: 67

Clinical description: 6 x 7 mm hypoechoic tumor in right thyroid lobe. FNAB: suspicion of papillary thyroid carcinoma (Bethesda V).

Gender: Female

Diagnosis:

Classification: ICD-O_3.2

Classification code: ADENOMAS AND ADENOCARCINOMAS

Diagnosis: Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP)

Result of the histopathological examination: Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP): CK19+ in some cells, HBME1+, thyreoglobulin +, Galectin 3+ in some cells, CD56-.

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

5d4fa8b1-70af-4f2d-abc3-93f945937764
6.2 GB, S3 ETag , downloads: 16
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:
2021
Verification date:
2021-10-22
Creation date:
2021
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/0m5e-tz98 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

Keywords

Cite as

seen 46 times