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Table 3 Evaluation results: AUCs, p values and confidence intervals for predicting pCR for each biomarker and cohort. N and \({N}_{\text {pcr}}\) are the number of cases and responders, respectively

From: PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning

Biomarker

AUC

p

95% CI

NKI TNBC devbm N = 76 (Npcr = 41)

 vTILs

0.551

0.447

0.421–0.681

 cTILs

0.479

0.759

0.344–0.615

 LTR

0.546

0.488

0.414–0.679

 ITR

0.518

0.782

0.383–0.654

 MTR

0.494

0.929

0.362–0.626

NKI TNBC valint N = 66 (Npcr = 29)

 vTILs

0.681

0.012

0.551–0.810

 cTILs

0.766

0.000

0.653–0.879

 LTR

0.638

0.055

0.502–0.775

 ITR

0.712

0.003

0.589–0.835

 MTR

0.629

0.074

0.493–0.765

RUMC+SCDC TNBC valint N = 36 (Npcr = 15)

 cTILs

0.571

0.470

0.378–0.765

 LTR

0.568

0.490

0.372–0.764

 ITR

0.644

0.144

0.456–0.833

 MTR

0.556

0.574

0.364–0.747

NKI Luminal B devbm N = 276 (Npcr = 28)

 vTILs

0.739

0.002

0.715–0.918

 cTILs

0.651

0.009

0.529–0.773

 LTR

0.651

0.009

0.531–0.770

 ITR

0.665

0.004

0.549–0.782

 MTR

0.652

0.008

0.537–0.767

NKI Luminal B devbm with tumor ≥ 8 mm2 N = 73 (Npcr = 9)

 vTILs

0.896

0.000

0.803–0.989

 cTILs

0.731

0.026

0.525–0.937

 LTR

0.748

0.016

0.557–0.940

 ITR

0.719

0.035

0.514–0.924

 MTR

0.696

0.099

0.503–0.890

NKI Luminal B valint N = 133 (Npcr = 9)

 vTILs

0.816

0.002

0.715–0.918

 cTILs

0.653

0.126

0.483–0.823

 LTR

0.516

0.872

0.320–0.712

 ITR

0.624

0.216

0.445–0.802

 MTR

0.741

0.016

0.570–0.912

RUMC+SCDC Luminal B valint N = 134 (Npcr = 6)

 cTILs

0.862

0.003

0.704–1.000

 LTR

0.888

0.001

0.790–0.986

 ITR

0.883

0.002

0.718–1.000

 MTR

0.628

0.292

0.390–0.865

  1. RUMC+SCDC are the combined RUMC and SCDC datasets