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Enhancing early breast cancer detection with multimodal imaging techniques: A comparative analysis
R. Bai , C. Dong , Y. Liu , J. Chang , Y. Dai
The Yancheng School of Clinical Medicine of Nanjing Medical University, China , daiyinggui0524@126.com
Abstract:   (4 Views)
Background: Breast cancer is a leading health threat to women, and early diagnosis is essential for effective treatment and improved survival rates. This study evaluates the efficacy of multimodal imaging techniques in the early diagnosis of breast cancer, focusing on the comparative analysis of ultrasound, mammography, and magnetic resonance imaging (MRI). Materials and Methods: The study included 75 patients with breast lesions diagnosed between April 2019 and May 2023. Preoperative imaging was performed using X-ray mammography, ultrasound, and MRI. The lesions were categorized using the BI-RADS classification system, and diagnostic sensitivity, specificity, positive and negative predictive values were compared. Additionally, the study assessed the consistency of imaging techniques through Kappa testing. Results: Pathological analysis revealed 39 malignant and 36 benign cases. Imaging diagnosis using multimodal techniques showed that contrast-enhanced ultrasound (CEUS), MRI, and their combination had higher sensitivity and negative predictive value compared to mammography (P < 0.05). CEUS demonstrated a sensitivity of 92.31%, which was consistent with combined ultrasound imaging but higher than mammography. Kappa values indicated that CEUS had superior consistency among the imaging modalities evaluated. Conclusion: Multimodal imaging, particularly CEUS and MRI, significantly enhances the early diagnosis of breast cancer. While each modality presents unique advantages, the choice of imaging technique should be based on individual patient characteristics, lesion features, and consideration of practicality and cost-effectiveness.
Keywords: Breast cancer, multimodality imaging techniques, diagnostic imaging, magnetic resonance imaging diagnosis, early diagnosis.
Full-Text [PDF 750 kb]   (3 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
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International Journal of Radiation Research
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