Title:Development and Validation of a Nomogram for Predicting Breast
Malignancy in Male Patients Based on Clinical and Ultrasound Features
Volume: 17
Issue: 3
Author(s): Wei-Hong Dong, Gang Wu*, Nan Zhao and Juan Zhang
Affiliation:
- Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou, 450000, Henan Province, China
Keywords:
Breast cancer, ultrasound, BI-RADS, elastography, nomogram, breast lesions.
Abstract:
Objective: This study aimed to construct a nomogram based on clinical and ultrasound
(US) features to predict breast malignancy in males.
Methods: The medical records between August, 2021 and February, 2023 were retrospectively
collected from the database. Patients included in this study were randomly divided into training
and validation sets in a 7:3 ratio. The models for predicting the risk of malignancy in male patients
with breast lesions were virtualized by the nomograms.
Results: Among the 71 enrolled patients, 50 were grouped into the training set, while 21 were
grouped into the validation set. After the multivariate analysis was done, pain, BI-RADS category,
and elastography score were identified as the predictors for malignancy risk and were selected
to generate the nomogram. The C-index was 0.931 for the model. Concordance between
predictions and observations was detected by calibration curves and was found to be good in
this study. The model achieved a net benefit across all threshold probabilities, which was shown
by the decision curve analysis (DCA) curve.
Conclusion: We successfully constructed a nomogram to evaluate the risk of breast malignancy
in males using clinical and US features, including pain, BI-RADS category, and elastography
score, which yielded good predictive performance.