Construction of prediction model of type 4 benign and malignant breast nodules by BI-RADS based on multi-parameter magnetic resonance index

LIN Qiongzhen; CHEN Jiatao; FANG Xinxin; LUO Aifang

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Medical Journal of the Chinese People Armed Police Forces ›› 2025, Vol. 36 ›› Issue (3) : 200-204.

Construction of prediction model of type 4 benign and malignant breast nodules by BI-RADS based on multi-parameter magnetic resonance index

LIN Qiongzhen, CHEN Jiatao, FANG Xinxin, LUO Aifang

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Abstract

Objective To construct a prediction model of type 4 benign and malignant breast nodules by breast imaging reporting and data system (BI-RADS) based on multi-parameter magnetic resonance index. Methods A total of 135 lesions in 135 patients with type 4 breast nodules by BI-RADS treated in the 909^th Hospital from January 2022 to January 2024 were retrospectively included, and they were divided into malignant group and benign group according to the nature of the lesions. Single-factor and multifactor methods were used to evaluate the independent predictors of type 4 benign and malignant breast nodules by BI-RADS. A prediction models of type 4 benign and malignant breast nodules by BI-RADS was constructed and the prediction efficiency was analyzed. Results There were 87 benign lesions and 48 malignant lesions in all 135 lesions of 135 patients. There were statistically significant differences in age (t=-5.485), lesion enhancement type (χ²=33.170), and average kurtosis value (t=-5.772) between the two groups (P<0.05). logistic multivariate analysis confirmed that age (OR=1.169), average kurtosis value (OR=483.393) and lesion enhancement type (OR=15.437) could be used as independent predictors of benign or malignant breast nodules of type 4 BI-RADS(P<0.05). Age, lesion enhancement type, mean kurtosis value and P-value prediction probability were used to predict the ROC curve of breast nodule, and the areas under the curve were 0.765, 0.720, 0.770 and 0.896, respectively. Conclusions Age, mean kurtosis value and lesion enhancement type are independent predictors of type 4 benign and malignant breast nodules by BI-RADS. The data model based on the above three factors has shown good efficiency in predicting the nature of breast nodules in patients.

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breast tumor / magnetic resonance / breast imaging reporting and data system

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LIN Qiongzhen, CHEN Jiatao, FANG Xinxin, LUO Aifang. Construction of prediction model of type 4 benign and malignant breast nodules by BI-RADS based on multi-parameter magnetic resonance index[J]. Medical Journal of the Chinese People Armed Police Forces. 2025, 36(3): 200-204

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