Abnormal cytological findings - Female, 35 - Cell image [4120730022872771] - Open Research Data - Bridge of Knowledge

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Abnormal cytological findings - Female, 35 - Cell image [4120730022872771]

Description

This is the histopathological image of CERVIX UTERI cell 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: 35

Clinical description: Prophylaxis - ectropion

Gender: Female

Diagnosis:

Classification: ICD-10_10-20

Classification code: Chapter XVIII - Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified

Diagnosis: Abnormal cytological findings

Result of the histopathological examination: ASC-US (Atypical squamous cells of undetermined significance). Papsmear contains multiple superficial epithelial cells, partly with inadequate N/C ratio, part of the nuclei have irregular contour (not enough to definitely diagnose koilocytosis), groups of glandular cervical cells. Among them granulocytes can be spotted. Surepath.

Sample:

Material: SurePath

Collecting method: Exfoliative cytology

Topography: FEMALE GENITAL ORGANS

Organ: CERVIX UTERI

Tissue: Exocervix

Type of staining: positive/HC

Staining: Papanicolaou

Antibody: Not applicable

Technology:

Equipment: Pannoramic 250 3DHistech

Lens: 20x

Organization:

Source: Medical University Gdańsk

Dataset file

e48a6e61-f380-4fde-9e1c-1ee418501029
19.2 GB, S3 ETag , downloads: 0
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:
2020-08-18
Creation date:
2020
Dataset language:
English
Fields of science:
  • medical sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/kstj-jd72 open in new tab
Ethical papers:
NKBBN/421-306/2020
Verified by:
Medical University of Gdańsk

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