GIÁ TRỊ CỦA CÁC CHỈ SỐ ĐỊNH LƯỢNG CỘNG HƯỞNG TỪ 3 TESLA TƯỚI MÁU TRONG CHẨN ĐOÁN UNG THƯ VÚ

Abstract

Objective: analyze the value of quantitative perfusion parameter on 3 Tesla MRI in breast cancer diagnosis. Method: A cross-sectional descriptive study was conducted on 61 patients undergoing breast perfusion MRI at the Radiology Center of Bach Mai Hospital from January 2022 to June 2024. Measure the Ktrans, Kep, Ve, Maxslope, CER parameters, collect histopathological diagnosis results to classify benign and malignant lesions. Descriptive statistical analysis for the morphological characteristics of breast tumors on 3T MRI. Inferential statistics determine the diagnostic value of perfusion parameters to differentiate benign and malignant lesions. Results: 61 cases of breast tumors underwent perfusion MRI and biopsy for pathological diagnosis, including 50 malignant lesions and 11 benign lesions. The Ktrans, Kep, and Maxslope parameters are capable of distinguishing benign from malignant lesions. The results of the analysis of the area under the ROC curve are 0.896; 0.958; 0.819, respectively, compared to the area under the curve of 0.798 when qualitatively analyzing the type the dynamic curve. Conclusion: The Ktrans, Kep, and Maxslope parameters on perfusion MRI are capable of discrimination between malignant and benign breast lesions. Quantitative analysis of perfusion parameters has a higher diagnostic value than qualitative analysis of the type of the dynamic curve.