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Prediction of glandularity and breast radiation dose from mammography results in Japanese women

  • Mika Yamamuro
  • Yoshiyuki Asai
  • Koji Yamada
  • Yoshiaki Ozaki
  • Masao Matsumoto
  • Takamichi Murakami
Original article
  • 23 Downloads

Abstract

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 < 0.0001). Easily determined physical factors were able to explain 42.8% of the total variance in glandularity and 62.4% of the variance in mean glandular dose.

Graphical abstract

Validation results of the above prediction model made using physical factors in Japanese women. The plotted points of actual vs. prediction glandularity shown in a are distributed in the vicinity of the diagonal line, and the residual plot for predicted glandularity shows an almost random distribution as shown in b. These distributions indicate the appropriateness of the prediction model.

Keywords

Breast cancer Glandularity Individualised screening Mammography Mean glandular dose 

Notes

Funding information

This work was supported by JSPS Grants-in-Aid Scientific Research, Grant Number JP18K07736.

Compliance with ethical standards

This study was approved by the ethics committee of Kindai University, Japan, and all work was conducted in accordance with the World Medical Association Declaration of Helsinki.

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Copyright information

© International Federation for Medical and Biological Engineering 2018

Authors and Affiliations

  • Mika Yamamuro
    • 1
  • Yoshiyuki Asai
    • 1
  • Koji Yamada
    • 1
  • Yoshiaki Ozaki
    • 2
  • Masao Matsumoto
    • 3
  • Takamichi Murakami
    • 4
  1. 1.Department of Central RadiologyKindai University HospitalOsaka-sayamaJapan
  2. 2.Kyoto Prefectural Police HeadquartersResearch Institute of Scientific InvestigationKyotoJapan
  3. 3.Division of Health Sciences, Graduate School of MedicineOsaka UniversitySuitaJapan
  4. 4.Department of Radiology, School of MedicineKobe UniversityKobeJapan

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