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Table 4 Association between each identified feature and the tumor size, stratified by detection mode

From: Novel mammographic image features differentiate between interval and screen-detected breast cancer: a case-case study

  Beta coefficient (p value, 95 % confidence interval), estimated by linear regression modelling
  Subgroup
Image feature All cancers (n = 1299) Screen-detected (n = 927) Interval cancer (n = 372)
F40 skewness of the intensity gradient 0.16 (p < 0.001, Cl: 0.09 to 0.23) 0.20 (p < 0.001, Cl: 0.12 to 0.29) -0.05 (p = 0.465, Cl: -0.18 to 0.08)
F21 eccentricity 0.021 (p = 0.56S, Cl: -0.050 to 0.091) 0.055 (p = 0.188, Cl: -0.027 to 0.136) -0.18 (p = 0.014, Cl: -0.32 to -0.04)
  1. Tumor size was square-root transformed
  2. Feature values calculated based on the dense area of the mammogram as identified by Otsu's method, then Box-Cox transformed and standardized beta coefficients represent the mean change in tumor size (measured in mm) per standard deviation change in transformed feature value Cl - 95 % confidence interval. p values in bold font signifies that they are below 0.05