Differentiation of benign and malignant breast lesions using DWI with a fractional-order calculus model based on SMS technique
Objective:To investigate the application value of fractional-order calculus(FROC)model diffusion weighted imaging(DWI)combined with simultaneous multi-slice(SMS)acquisition technology in the differentiation between benign and malignant breast lesions.Materials and Methods:A total of 124 patients(with 141 lesions)who underwent breast MRI scan at our hospital from January 2021 to December 2022 were retrospectively analyzed.All patients underwent DWI scanning with two sets of multiple b values(14 b values,the highest b value was 3 000 s/mm2)using a 3.0 T MRI system.One group underwent conventional single-shot echo planar imaging(SSEPI-DWI),while the other group underwent SMS-SSEPI-DWI.Independent sample t test or Mann-Whitney U test was used to compare the image quality scores,FROC model parameters(D,β,μ)and apparent diffusion coefficient(ADC)value between benign and malignant groups.The receiver operating characteristic curve was used to evaluate the diagnostic efficacy of each parameter.Bland-Altman plots were used to assess the agreement between the two DWI-derived parameters.Results:The ADC,D and β values of malignant breast lesions were significantly lower than those of benign breast lesions(P＜0.05),while the p value of malignant breast lesions was notably higher than that of benign breast lesions(P＜0.05).Among the SSEP-DWI and SMS-SSEP-DWI sequences,the D value had the largest area under the curve,the p value demonstrated the highest diagnostic sensitivity,and the D value displayed the highest specificity.Bland-Altman plot indicated unbiased and substantial agreement between the corresponding parameter values derived from the two DWI sequences were unbiased and had good agreement.Conclusions:The FROC model based on SMS-SSEPI DWI can provide high-quality images and lesion characteristic parameter values with shorten scan time.Compared with SSEPI-DWI.It has a comparable diagnostic performance in distinguishing between benign and malignant breast lesions.Particularly.The D and p value show better diagnostic performance.
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