MARATTO

article · Zagazig University Medical Journal

Diagnostic Value of High b-Values Diffusion Weighted Magnetic Resonance imaging (DW-MRI) in Differentiating Solid Breast Masses

2024Open accessZagazig University

Abstract

Background & Objectives: Diffusion-weighted imaging (DWI) is worldwide integrated in the routine breast MRI protocols. We aim to estimate the diagnostic accuracy of DWI with high b-values in diagnosis of breast masses in comparison with dynamic contrast-enhanced MRI (CE-MRI). Patients & Methods: This study included 42 female patients with breast masses detected by mammography or ultrasonography. All patients were subjected to MRI breast examination including unenhanced MRI (UE-MRI) sequences, DWI with different high b-values (1000, 1200, 1500 & 1800) and CE-MRI. The obtained images were evaluated with particular emphasis on the pattern of lesion visibility and image quality of DWI at different high b values. Final diagnosis was acquired by histopathological evaluation or follow-up. Results: Recorded sensitivity for DWI in differentiating benign and malignant masses was the same for b 1000, 1200 & 1500 estimating 92.9%, the specificity 61.9%, the positive predictive value (PPV) 77.8%, the negative predictive value ( NPV) 85.8% and accuracy 80.2%. The validity of DWI seems to decrease with increasing b value above 1500 and measuring 89.3%, 47.6 %, 72.2%, 71 % and 75.5 % for sensitivity, specificity, accuracy, PPV & NPV respectively at b 1800. The measured ADC value differentiating benign and malignant lesions was found to be statistically highly significant (P value < 0.001). Conclusion: DWI-MRI utilizing high b-values is a beneficial tool in breast lesion diagnosis. DWI with 1200–1500 s/mm2 b-values can improve breast tumor detectability than with b value =1800, but this does not significantly affect the DWI diagnostic performance.

Research topics

  • MRI in cancer diagnosis
  • Radiomics and Machine Learning in Medical Imaging

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.21608/zumj.2024.273858.3218

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.