Prediction of glandularity and breast radiation dose from mammography results in Japanese women
Prediction of glandularity and breast radiation dose from mammography results in Japanese women
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DOI：
10.1007/s11517-018-1882-4
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发表时间：
2019-01-01
影响因子：
3.2
通讯作者：
Murakami, Takamichi
中科院分区：
文献类型：
--
作者：
Yamamuro, Mika;Asai, Yoshiyuki;Murakami, Takamichi
Glandularity has a marked impact on the incidence of breast cancer and the missed lesion rate of mammography. The aim of this study was to develop a novel model for predicting glandularity and patient radiation dose using physical factors that are easily determined prior to mammography. Data regarding glandularity and mean glandular dose were obtained from 331 mammograms. A stepwise multiple regression analysis model was developed to predict glandularity using age, compressed breast thickness and body mass index (BMI), while a model to predict mean glandular dose was created using quantified glandularity, age, compressed breast thickness, height and body weight. The most significant factor for predicting glandularity was age, the influence of which was 1.8 times that of BMI. The most significant factor for predicting mean glandular dose was compressed breast thickness, the influence of which was 1.4 times that of glandularity, 3.5 times that of age and 6.1 times that of height. Both models were statistically significant (both p
