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292404

RADIOLOGICAL PATTERN RECOGNITION OF OVARIAN MASSES

Article

Last updated: 26 Dec 2024

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Tags

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Abstract

INTRODUCTION:
The majority of ovarian lesions are benign and have spontaneous resolution2.On the other hand, they may be malignant which is more serious and even fatal3. In Egypt ovarian cancer is the 12th cause of cancer deaths amongst all cancer cases.
Ovarian cancer incidence rises dramatically in cases like endometriosis, primary infertility, early menarche, nulliparity, late menopause and postmenopause.
There are 2 kinds of epithelial ovarian cancer.Type I cancers due to neoplastic transformation of ovarian surface and epithelium and Type II which originates in the epithelium of the fallopian tube.
Early-stage ovarian cancer patients have few distinct symptoms, but they frequently have nonspecific symptoms thus screening studies have been carried out with the goal of diagnosing the disease in its early stages
Ultrasound assessment is believed to be the best method of diagnosis for adnexal masses
The pattern recognition approach to ovarian tumors based on sonographic morphology and Doppler vascularity assessment has been demonstrated to be more accurate than other methods.

DOI

10.21608/alexpo.2023.202293.1595

Keywords

pattern, Recognition, Ovarian masses

Authors

First Name

Mahmoud

Last Name

Meleis

MiddleName

ElSayed

Affiliation

Department of Obstetrics and Gynecology, Faculty of Medicine, Alexandria University

Email

mah.meleis@hotmail.com

City

-

Orcid

-

First Name

Mervat

Last Name

Aly ELsersy

MiddleName

-

Affiliation

Department of Obstetrics and Gynecology, Faculty of Medicine, University of Alexandria.

Email

msersy@hotmail.com

City

-

Orcid

-

First Name

Ahmed

Last Name

El Agwany

MiddleName

Samy

Affiliation

Department of Obstetrics and Gynecology, Faculty of Medicine, Alexandria University

Email

ahmedsamyagwany@gmail.com

City

-

Orcid

0000-0001-9926-1689

First Name

Abdallah

Last Name

Mzee

MiddleName

Fankupi

Affiliation

Department of Obstetrics and Gynecology, Faculty of Medicine, Alexandria University

Email

dr.fankupi@gmail.com

City

-

Orcid

-

Volume

5

Article Issue

1

Related Issue

38639

Issue Date

2023-01-01

Receive Date

2023-03-26

Publish Date

2023-01-01

Page Start

52

Page End

53

Online ISSN

2682-2636

Link

https://alexpos.journals.ekb.eg/article_292404.html

Detail API

https://alexpos.journals.ekb.eg/service?article_code=292404

Order

1

Type

Preliminary preprint short reports of original research

Type Code

1,426

Publication Type

Journal

Publication Title

ALEXMED ePosters

Publication Link

https://alexpos.journals.ekb.eg/

MainTitle

RADIOLOGICAL PATTERN RECOGNITION OF OVARIAN MASSES

Details

Type

Article

Created At

26 Dec 2024