Journal of Clinical Medicine Research, ISSN 1918-3003 print, 1918-3011 online, Open Access
Article copyright, the authors; Journal compilation copyright, J Clin Med Res and Elmer Press Inc
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Original Article

Volume 18, Number 1, January 2026, pages 50-61


Predicting Breast Imaging-Reporting and Data System Classification of Palpable Breast Masses Using Ultrasound to Prioritize Mammography Queues

Figures

↓  Figure 1. Study flow diagram. BI-RADS: Breast Imaging Reporting and Data System.
Figure 1.
↓  Figure 2. Receiver operating characteristic (ROC) curve of step 1 model for differentiating BI-RADS 3–5 from BI-RADS 1–2. AuROC: area under the receiver operating characteristic curve; CI: confidence interval.
Figure 2.
↓  Figure 3. Receiver operating characteristic (ROC) curve of step 2 model for differentiating BI-RADS 4–5 from BI-RADS 3. AuROC: area under the receiver operating characteristic curve; CI: confidence interval.
Figure 3.
↓  Figure 4. Risk curve showing the probability of BI-RADS 3–5 with BI-RADS 1–2 as baseline and the cutoff point of the linear combination. BI-RADS: Breast Imaging Reporting and Data System.
Figure 4.
↓  Figure 5. Risk curve showing the probability of BI-RADS 4–5 with BI-RADS 3 as baseline and the cutoff point of the linear combination. BI-RADS: Breast Imaging Reporting and Data System.
Figure 5.

Tables

↓  Table 1. Scheme of Reference and Predicted BI-RADS Classifications With Likelihood of Malignancy and Management, Modified From the ACR BI-RADS Fifth Edition (2013)
 
Reference classification (ACR BI-RADS fifth edition) Likelihood of cancer Management Predicted classification Chance of malignancy
ACR: American College of Radiology; BI-RADS: Breast Imaging Reporting and Data System.
BI-RADS 1 (negative); BI-RADS 2 (benign) Essentially 0% Routine screening Predicted BI-RADS 1–2 Low
BI-RADS 3 (probably benign) > 0% but ≤ 2% Short-interval follow-up (6 months) Predicted BI-RADS 3 Medium
BI-RADS 4 (suspicious) > 2% to < 95% Tissue diagnosis Predicted BI-RADS 4–5 High
BI-RADS 5 (highly suggestive of malignancy) ≥ 95%

 

↓  Table 2. Baseline Characteristics and Ultrasound Findings Across BI-RADS Categories
 
Variables BI-RADS 1–2 (n = 142), n (%) BI-RADS 3 (n = 50), n (%) BI-RADS 4–5 (n = 198), n (%) P value
BI-RADS: Breast Imaging Reporting and Data System; SD: standard deviation; None: no mass.
Age (years), mean ± SD 49.7 ± 9.6 50.4 ± 11.1 58.7 ± 12.8 0.001
Ultrasound findings
  Shape
    None 28 (19.7) 0 (0) 0 (0) < 0.001
    Oval 111 (78.2) 47 (94.0) 46 (23.2)
    Round 1 (0.7) 2 (4.0) 9 (4.5)
    Irregular 2 (1.4) 1 (2.0) 143 (72.2)
  Margin
    None 28 (19.7) 0 (0) 0 (0) < 0.001
    Circumscribed 114 (80.3) 48 (96.0) 40 (20.2)
    Angular 0 (0) 0 (0) 19 (9.6)
    Microlobulated 0 (0) 0 (0) 27 (14.1)
    Indistinct 0 (0) 2 (4.0) 62 (31.3)
    Spiculated 0 (0) 0 (0) 50 (25.3)
  Orientation
    None 28 (19.7) 0 (0) 0 (0) < 0.001
    Parallel 114 (80.1) 49 (98.0) 120 (60.6)
    Not parallel 0 (0) 1 (2.0) 78 (39.4)
  Echo pattern
    None 28 (19.7) 0 (0) 0 (0) < 0.001
    Anechoic 104 (73.2) 8 (16.0) 0 (0)
    Hyperechoic 0 (0) 2 (4.0) 0 (0)
    Hypoechoic 10 (7.0) 37 (74.0) 114 (57.6)
    Isoechoic 0 (0) 2 (4.0) 1 (0.5)
    Heterogeneous 0 (0) 1 (2.0) 67 (33.8)
    Complex cystic-solid 0 (0) 0 (0) 16 (8.1)
  Posterior features
    None 28 (19.7) 0 (0) 0 (0) < 0.001
    No posterior features 28 (19.7) 43 (86.0) 94 (47.5)
    Enhancement 86 (61.6) 7 (14.0) 78 (49.4)
    Shadowing 0 (0) 0 (0) 25 (12.6)
    Combined pattern 0 (0) 0 (0) 1 (0.5)
  Calcifications
    None 28 (19.7) 0 (0) 0 (0) < 0.001
    No calcifications 114 (80.3) 50 (100) 117 (59.1)
    Calcifications in a mass 0 (0) 0 (0) 80 (40.4)
    Intraductal calcifications 0 (0) 0 (0) 1 (0.5)
  Axillary lymph nodes
    None 35 (13.0) 0 (0) 0 (0) < 0.001
    Normal 106 (36.7) 48 (16.6) 135 (46.7)
    Abnormal 0 (0) 0 (0) 57 (28.7)

 

↓  Table 3. Step 1: Multivariable Risk Difference Regression With the stepwise Method of Ultrasound Predictors for Predicted BI-RADS 3–5 Versus BI-RADS 1–2 (Baseline)
 
Predictors Risk difference 95% CI P value
BI-RADS: Breast Imaging Reporting and Data System; CI: confidence interval; None: no mass.
Shape
  None Baseline Baseline Baseline
  Oval 1.06 0.89, 1.24 < 0.001
  Round 1.30 1.05, 1.54 < 0.001
  Irregular 1.08 0.94, 1.23 < 0.001
Margin
  None Baseline Baseline Baseline
  Circumscribed −0.11 −0.22, 0.01 0.069
  Angular −0.00 −0.11, 0.11 0.980
  Microlobulated −0.01 −0.11, 0.09 0.840
  Indistinct −0.01 −0.09, 0.07 0.801
Echo pattern
  None Baseline Baseline Baseline
  Anechoic −0.89 −1.00, −0.78 < 0.001
  Hyperechoic −0.07 −0.39, 0.24 0.651
  Hypoechoic −0.10 −0.20, 0.01 0.081
  Isoechoic −0.03 −0.28, 0.23 0.833
  Heterogeneous −0.06 −0.17, 0.06 0.329

 

↓  Table 4. Step 2: Multivariable Risk Difference Regression Using the Stepwise Method of Ultrasound Predictors for Predicted BI-RADS 4–5 Versus BI-RADS 3 (Baseline)
 
Predictors Risk difference 95% CI P value
BI-RADS: Breast Imaging Reporting and Data System; CI: confidence interval; None: no mass.
Shape
  None Baseline Baseline Baseline
  Round 0.50 0.21, 0.79 0.001
  Irregular 0.15 0.01, 0.28 0.030
Margin
  None Baseline Baseline Baseline
  Angular 0.40 0.22, 0.57 < 0.001
  Microlobulated 0.36 0.19, 0.53 < 0.001
  Indistinct 0.35 0.21, 0.49 < 0.001
  Spiculated 0.39 0.23, 0.55 < 0.001
Echo pattern
  None Baseline Baseline Baseline
  Hypoechoic 0.67 0.26, 1.07 0.001
  Isoechoic 0.30 −0.21, 0.81 0.249
  Heterogeneous 0.81 0.40, 1.22 < 0.001
  Complex cystic-solid 1.06 0.64, 1.49 < 0.001

 

↓  Table 5. Apparent and Bootstrap Performance of Step 1 and Step 2 Prediction Models
 
Process Parameters Apparent performance Bootstrap performance
AuROC: area under the receiver operating characteristic curve; CITL: calibration-in-the-large; E:O ratio: expected-to-observed outcomes ratio; NA: not applicable.
Step 1 AuROC 0.9801 (0.9696, 0.9907) 0.9800 (0.9710, 0.9910)
Slope 1.0000 (0.8390, 1.1610) 0.9800 (0.8230, 1.1450)
E:O ratio 1.0000 1.0010 (0.9720, 1.0410)
CITL −0.0000 (−0.4850, 0.4850) −0.0240 (−0.6580, 0.5700)
Bootstrap shrinkage NA 0.9800
Step 2 AuROC 0.9623 (0.9411, 0.9835) 0.9630 (0.9420, 0.9900)
Slope 1.0000 (0.7110, 1.2890) 0.8960 (0.0000, 1.2830)
E:O ratio 1.0000 0.9190 (0.2500, 1.0240)
CITL 0.0000 (−0.5810, 0.5810) 0.0700 (−0.4270, 0.8750)
Bootstrap shrinkage NA 0.8960

 

↓  Table 6. Confusion Matrix of Predicted Versus Reference BI-RADS Classifications
 
Predicted classification Reference classification Total
BI-RADS 1–2 (n = 142) BI-RADS 3 (n = 50) BI-RADS 4–5 (n = 198)
BI-RADS: Breast Imaging Reporting and Data System.
Predicted BI-RADS 1–2 132 (33.9%) 8 (2.0%) 0 (0%) 140 (35.9%)
Predicted BI-RADS 3 10 (2.5%) 41 (10.5%) 26 (6.7%) 77 (19.7%)
Predicted BI-RADS 4–5 0 (0%) 1 (0.3%) 172 (44.1%) 173 (44.4%)
Total 142 (36.4%) 50 (12.8%) 198 (50.8%) 390 (100%)

 

↓  Table 7. Sensitivity Analysis of Discriminative Ability by Method (Addressing Incorporation Bias)
 
Process Method Patients (n) AuROC 95% CI
AuROC: area under the receiver operating characteristic curve; CI: confidence interval.
Step 1 Overall model 390 0.9801 0.9695, 0.9907
Mammography-based interpretation alone 172 0.9945 0.9866, 1.0000
Step 2 Overall model 240 0.9623 0.9411, 0.9835
Mammography-based interpretation alone 163 0.9876 0.9707, 1.0000

 

↓  Table 8. Model-Based Scheduling Scheme: A New Strategy for Mammography Queue Management
 
Process Linear combination Predicted group Chance of malignancy Queue Waiting time
BI-RADS: Breast Imaging Reporting and Data System.
Step 1 < 0.625 BI-RADS 1–2 Low Normal Standard queue
≥ 0.625 BI-RADS 3–5 Proceed to step 2 evaluation
Step 2 < 0.610 BI-RADS 3 Medium Semi-urgent Within 4 - 8 weeks
≥ 0.610 BI-RADS 4–5 High Urgent Within 4 weeks