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
Journal website https://jocmr.elmerjournals.com

Original Article

Volume 000, Number 000, January 2026, pages 000-000


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

Figures

Figure 1.
Figure 1. Study flow diagram. BI-RADS: Breast Imaging Reporting and Data System.
Figure 2.
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 3.
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 4.
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 5.
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.

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 cancerManagementPredicted classificationChance 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 screeningPredicted BI-RADS 1–2Low
BI-RADS 3 (probably benign)> 0% but ≤ 2%Short-interval follow-up (6 months)Predicted BI-RADS 3Medium
BI-RADS 4 (suspicious)> 2% to < 95%Tissue diagnosisPredicted BI-RADS 4–5High
BI-RADS 5 (highly suggestive of malignancy)≥ 95%

 

Table 2. Baseline Characteristics and Ultrasound Findings Across BI-RADS Categories
 
VariablesBI-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 ± SD49.7 ± 9.650.4 ± 11.158.7 ± 12.80.001
Ultrasound findings
  Shape
    None28 (19.7)0 (0)0 (0)< 0.001
    Oval111 (78.2)47 (94.0)46 (23.2)
    Round1 (0.7)2 (4.0)9 (4.5)
    Irregular2 (1.4)1 (2.0)143 (72.2)
  Margin
    None28 (19.7)0 (0)0 (0)< 0.001
    Circumscribed114 (80.3)48 (96.0)40 (20.2)
    Angular0 (0)0 (0)19 (9.6)
    Microlobulated0 (0)0 (0)27 (14.1)
    Indistinct0 (0)2 (4.0)62 (31.3)
    Spiculated0 (0)0 (0)50 (25.3)
  Orientation
    None28 (19.7)0 (0)0 (0)< 0.001
    Parallel114 (80.1)49 (98.0)120 (60.6)
    Not parallel0 (0)1 (2.0)78 (39.4)
  Echo pattern
    None28 (19.7)0 (0)0 (0)< 0.001
    Anechoic104 (73.2)8 (16.0)0 (0)
    Hyperechoic0 (0)2 (4.0)0 (0)
    Hypoechoic10 (7.0)37 (74.0)114 (57.6)
    Isoechoic0 (0)2 (4.0)1 (0.5)
    Heterogeneous0 (0)1 (2.0)67 (33.8)
    Complex cystic-solid0 (0)0 (0)16 (8.1)
  Posterior features
    None28 (19.7)0 (0)0 (0)< 0.001
    No posterior features28 (19.7)43 (86.0)94 (47.5)
    Enhancement86 (61.6)7 (14.0)78 (49.4)
    Shadowing0 (0)0 (0)25 (12.6)
    Combined pattern0 (0)0 (0)1 (0.5)
  Calcifications
    None28 (19.7)0 (0)0 (0)< 0.001
    No calcifications114 (80.3)50 (100)117 (59.1)
    Calcifications in a mass0 (0)0 (0)80 (40.4)
    Intraductal calcifications0 (0)0 (0)1 (0.5)
  Axillary lymph nodes
    None35 (13.0)0 (0)0 (0)< 0.001
    Normal106 (36.7)48 (16.6)135 (46.7)
    Abnormal0 (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)
 
PredictorsRisk difference95% CIP value
BI-RADS: Breast Imaging Reporting and Data System; CI: confidence interval; None: no mass.
Shape
  NoneBaselineBaselineBaseline
  Oval1.060.89, 1.24< 0.001
  Round1.301.05, 1.54< 0.001
  Irregular1.080.94, 1.23< 0.001
Margin
  NoneBaselineBaselineBaseline
  Circumscribed−0.11−0.22, 0.010.069
  Angular−0.00−0.11, 0.110.980
  Microlobulated−0.01−0.11, 0.090.840
  Indistinct−0.01−0.09, 0.070.801
Echo pattern
  NoneBaselineBaselineBaseline
  Anechoic−0.89−1.00, −0.78< 0.001
  Hyperechoic−0.07−0.39, 0.240.651
  Hypoechoic−0.10−0.20, 0.010.081
  Isoechoic−0.03−0.28, 0.230.833
  Heterogeneous−0.06−0.17, 0.060.329

 

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)
 
PredictorsRisk difference95% CIP value
BI-RADS: Breast Imaging Reporting and Data System; CI: confidence interval; None: no mass.
Shape
  NoneBaselineBaselineBaseline
  Round0.500.21, 0.790.001
  Irregular0.150.01, 0.280.030
Margin
  NoneBaselineBaselineBaseline
  Angular0.400.22, 0.57< 0.001
  Microlobulated0.360.19, 0.53< 0.001
  Indistinct0.350.21, 0.49< 0.001
  Spiculated0.390.23, 0.55< 0.001
Echo pattern
  NoneBaselineBaselineBaseline
  Hypoechoic0.670.26, 1.070.001
  Isoechoic0.30−0.21, 0.810.249
  Heterogeneous0.810.40, 1.22< 0.001
  Complex cystic-solid1.060.64, 1.49< 0.001

 

Table 5. Apparent and Bootstrap Performance of Step 1 and Step 2 Prediction Models
 
ProcessParametersApparent performanceBootstrap 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 1AuROC0.9801 (0.9696, 0.9907)0.9800 (0.9710, 0.9910)
Slope1.0000 (0.8390, 1.1610)0.9800 (0.8230, 1.1450)
E:O ratio1.00001.0010 (0.9720, 1.0410)
CITL−0.0000 (−0.4850, 0.4850)−0.0240 (−0.6580, 0.5700)
Bootstrap shrinkageNA0.9800
Step 2AuROC0.9623 (0.9411, 0.9835)0.9630 (0.9420, 0.9900)
Slope1.0000 (0.7110, 1.2890)0.8960 (0.0000, 1.2830)
E:O ratio1.00000.9190 (0.2500, 1.0240)
CITL0.0000 (−0.5810, 0.5810)0.0700 (−0.4270, 0.8750)
Bootstrap shrinkageNA0.8960

 

Table 6. Confusion Matrix of Predicted Versus Reference BI-RADS Classifications
 
Predicted classificationReference classificationTotal
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 1–2132 (33.9%)8 (2.0%)0 (0%)140 (35.9%)
Predicted BI-RADS 310 (2.5%)41 (10.5%)26 (6.7%)77 (19.7%)
Predicted BI-RADS 4–50 (0%)1 (0.3%)172 (44.1%)173 (44.4%)
Total142 (36.4%)50 (12.8%)198 (50.8%)390 (100%)

 

Table 7. Sensitivity Analysis of Discriminative Ability by Method (Addressing Incorporation Bias)
 
ProcessMethodPatients (n)AuROC95% CI
AuROC: area under the receiver operating characteristic curve; CI: confidence interval.
Step 1Overall model3900.98010.9695, 0.9907
Mammography-based interpretation alone1720.99450.9866, 1.0000
Step 2Overall model2400.96230.9411, 0.9835
Mammography-based interpretation alone1630.98760.9707, 1.0000

 

Table 8. Model-Based Scheduling Scheme: A New Strategy for Mammography Queue Management
 
ProcessLinear combinationPredicted groupChance of malignancyQueueWaiting time
BI-RADS: Breast Imaging Reporting and Data System.
Step 1< 0.625BI-RADS 1–2LowNormalStandard queue
≥ 0.625BI-RADS 3–5Proceed to step 2 evaluation
Step 2< 0.610BI-RADS 3MediumSemi-urgentWithin 4 - 8 weeks
≥ 0.610BI-RADS 4–5HighUrgentWithin 4 weeks