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Table 1 Basic characteristics of the dataset

From: Analysis of false reasons based on the artificial intelligence RRCART model to identify frozen sections of lymph nodes in breast cancer

Category

Number of patients (%)

Sex

 

 Female

498 (99.80%)

 Male

1 (0.20%)

 Age (years)a

51 (15–84)

Slide

 

 Left

248 (49.70%)

 Right

251 (50.30%)

Tumor Size (mm)

 

 ≤2

265 (53.11%)

 2–5

180 (36.07%)

 >5

19 (3.81%)

 Missing

35 (7.01%)

Tumor type

 

 IDC

415 (83.17%)

 ILC

11 (2.20%)

 IBC, other subtypes

35 (7.01%)

 DCIS

33 (7.01%)

 Missing

5 (1.00%)

 Total

499

  1. IDC Invasive ductal carcinoma, DCIS Ductal carcinoma in situ, ILC Invasive lobular carcinoma, IBC Invasive breast carcinoma; a mean (range)