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. Author manuscript; available in PMC: 2021 Aug 13.
Published in final edited form as: J Thorac Oncol. 2020 Jun 17;15(10):1599–1610. doi: 10.1016/j.jtho.2020.06.001

Table 3.

Selection of Histologic Features in the Model of Predominant Plus High-Grade Patterns (With a Cutoff of 20% or More for High-Grade Patterns)

Recurrence
 Death
Variables in the Model C-Index AUC C-Index AUC
Baseline + predominant + high-grade patterns (20% cutoff) 0.739 0.749 0.732 0.787
Mitotic grade + nuclear grade + cytologic grade + STASa 0.741 0.746 0.775 0.761
Mitotic grade + cytologic grade + STASa 0.743 0.748 0.787 0.769
Cytologic grade + STASa 0.741 0.752 0.785 0.768
STASa 0.740 0.752 0.785 0.765
a

Training set: adding the histologic features to baseline + predominant plus high-grade patterns (backward selection, remove the least significant variable each time). Addition of other histologic features (nuclear grade, mitotic grade, STAS, etc.) did not improve the model.

AUC, area under the ROC curve; C-index, concordance index; ROC, receiver operating characteristic; STAS, spread through airspace.