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Table 6 Single linear regression models with reference values as explanatory variable (n = 164, P <0.0001 for all models and slope estimates)

From: A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue

Variable R-square Intercept estimate InterceptP Slope estimate Slope standardized estimate
Ki67-DIA-2 0.90 5.9692 <0.0001 0.7588 0.9494
Ki67-DIA-1 0.89 -0.6389 0.5324 0.7892 0.9447
Ki67-DIA-0 0.86 -0.9576 0.3389 0.6667 0.9278
Ki67-VE-median 0.86 -3.3799 0.0242 1.0093 0.9316
Ki67-VE-1 0.74 -8.1114 <0.0001 0.8057 0.8514
Ki67-VE-2 0.82 0.6733 0.7180 1.0616 0.9049
Ki67-VE-3 0.85 0.1337 0.9382 1.0926 0.9210
Ki67-VE-4 0.79 -2.7516 0.0987 0.8545 0.8545
Ki67-VE-5 0.71 0.4763 0.8294 0.9245 0.8422
  1. DIA, digital image analysis; VE, visual estimate.
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Breast Cancer Research

ISSN: 1465-542X

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