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360975

Diffusion-weighted imaging and the kinetic properties of MRI breast in the identification of breast cancer molecular subtypes

Article

Last updated: 27 Dec 2024

Subjects

-

Tags

Diagnostic Radiology.
Oncology and Nuclear Medicine.

Abstract

Background: There are various molecular subtypes of breast cancer. Planning for treatment and predicting the prognosis of breast cancer all depend heavily on breast magnetic resonance imaging (MRI). Objectives: Our study aims to establish the relevance of MRI in the initial diagnosis of breast cancer and the prognosis of the disease by examining the relationship between kinetic breast MRI features and molecular subtypes of breast cancer. The apparent diffusion coefficient (ADC) was another goal of our investigation, and we also intended to associate it with molecular subtypes. Patients and methods: Our investigation was cross-sectional, observational, and involved only one group assignment. This study comprised 30 female patients with newly discovered invasive breast cancer. Before starting treatment, our patients underwent MRI breast. Dynamic-contrast enhanced (DCE) and diffusion-weighted (DWI) MRI tests were performed. The kind of curve and ADC were connected to the histological results and the molecular subtypes of breast cancer. Results: Sixty-six and seven-tenth percent of our patients fit the Type II curve, and 73.3% of them had hormonal receptor (HR)-positive. Different molecular subtypes and curve types did not significantly differ from one another (p=0.107). The ADC value for mass and the various molecular subtypes showed a negligible difference (p>0.05). For triple-negative breast cancer (TNBC) and HR-negative breast cancer, the ADC value for mass was greater. Conclusion: Limited connections were found between breast MRI kinetic criteria and molecular subtypes. Therefore, more research is required to determine the function of MRI in the early detection of breast cancer.

DOI

10.21608/svuijm.2023.222264.1620

Keywords

breast cancer, molecular subtype, MRI, ADC

Authors

First Name

Safaa Mohammed

Last Name

Temerik

MiddleName

-

Affiliation

Clinical Oncology Department, Faculty of Medicine, South Valley University, Qena, Egypt.

Email

safaatemerik@gmail.com

City

-

Orcid

Safaatemerik@med.svu.edu.eg

First Name

Saeda Mohamed

Last Name

Abd Elwahab

MiddleName

-

Affiliation

Diagnostic Radiology Department, Faculty of Medicine, South Valley University, Qena, Egypt.

Email

saedamohamed904@yahoo.com

City

Qena

Orcid

0000-0003-1418-1917

First Name

Mohammed Mostafa

Last Name

Wahman

MiddleName

-

Affiliation

Clinical Oncology Department, Faculty of Medicine, South Valley University, Qena, Egypt.

Email

wahman6661@yahoo.com

City

qena

Orcid

-

First Name

Mohammed Youssef

Last Name

Ahmed

MiddleName

-

Affiliation

General Surgery Department, Faculty of Medicine, South Valley University, Qena, Egypt.

Email

myousef76@med.svu.edu.eg

City

qena

Orcid

-

First Name

Mostafa Elsayed

Last Name

Abd Elwanis

MiddleName

-

Affiliation

South Egypt Cancer Institute, Faculty of Medicine, Assuit University, Assuit, Egypt

Email

mostafawanis03@gmail.com

City

assuit

Orcid

-

Volume

7

Article Issue

2

Related Issue

47977

Issue Date

2024-07-01

Receive Date

2023-07-14

Publish Date

2024-07-01

Page Start

105

Page End

120

Print ISSN

2735-427X

Online ISSN

2636-3402

Link

https://svuijm.journals.ekb.eg/article_360975.html

Detail API

https://svuijm.journals.ekb.eg/service?article_code=360975

Order

360,975

Type

Original research articles

Type Code

1,520

Publication Type

Journal

Publication Title

SVU-International Journal of Medical Sciences

Publication Link

https://svuijm.journals.ekb.eg/

MainTitle

Diffusion-weighted imaging and the kinetic properties of MRI breast in the identification of breast cancer molecular subtypes

Details

Type

Article

Created At

27 Dec 2024