Application of intravoxel incoherent motion diffusion-weighted magnetic resonance imaging on the diagnosis of breast cancer

Author(s):
Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background

To explore the application of intravoxel incoherent motion (IVIM) parameters based on mono- and bi-exponential models for diagnosing breast cancer (BC).

Materials and Methods

43 patients underwent breast magnetic resonance (MR) scanned before operation and the images were transferred to AW Volume Share 5 post-processing workstation. The mono-exponential and bi-exponential model was used to measure the slow diffusion coefficient (DC) (D), fast DC (D*) and fraction of perfusion (f). And the association between different parameter values and BC grading was analyzed via Spearman’s rank correlation coefficient.

Results

The D mono value of 13 patients with benign breast diseases was higher than that of 30 patients with BC (4.04 ± 0.23 vs 2.59 ± 0.64,p<0.05) while there was no statistical significance on the value of D* mono, f mono, D bi, D* bi and f bi. Additionally, the parameter differences of D mono, D* mono, D bi and D* bi had statistical significance between the different BC grades. And the grades of BC had a negative correlation with D mono and D bi while were positively related to D* mono and D* bi. It was most closely related to D* bi than D bi. D mono value in ER-positive were higher than that in ER-negative group (3.09±0.37 vs 1.03±0.09, p=.0095).

Conclusion

IVIM could be used to diagnose BC, predict histological grading and ER expression and provide valuable imaging for the clinical treatment and prognosis of BC patients.

Language:
English
Published:
International Journal of Radiation Research, Volume:21 Issue: 4, Oct 2023
Pages:
827 to 832
magiran.com/p2633178  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!