Radiomics analysis of biplanar ultrasound images can discriminate non-mass breast carcinoma from mastitis
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By
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Qinfu Wu
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Guangde Liu
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Mengqiang Xiao
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Shanghuang Xie
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Wenhui Teng
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Yang Dong
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Xiaoyi Chen
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Tianzhu Liu
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Peikai Huang
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July 1, 2026
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Clinical Scorecard: Radiomic Assessment of Biplanar Ultrasound Imaging for Differentiating Non-Mass Breast Carcinoma from Mastitis
At a Glance
| Category | Detail |
|---|
| Condition | Non-mass breast carcinoma (NMBC) |
| Key Mechanisms | Radiomics models using biplanar ultrasound images to differentiate NMBC from mastitis. |
| Target Population | Patients with pathologically confirmed NMBC or mastitis. |
| Care Setting | Diagnostic imaging and oncology |
Key Highlights
- Radiomics models constructed from transverse and longitudinal ultrasound images.
- Fusion model showed superior performance in training cohort (AUC = 94.2%).
- Combined clinical-radiomics model outperformed individual models in validation cohort (AUC: 0.861–0.884).
- Diagnostic accuracy for NMBC is often compromised due to overlap with mastitis features.
- Study emphasizes the importance of accurate preoperative differentiation for treatment planning.
Guideline-Based Recommendations
Diagnosis
- Utilize radiomics features from ultrasound images for improved diagnostic accuracy.
Management
- Prompt oncological management for NMBC as opposed to conservative therapy for mastitis.
Monitoring & Follow-up
- Regular assessment of imaging features to track diagnostic performance.
Risks
- Misdiagnosis may lead to delayed treatment for NMBC.
Patient & Prescribing Data
139 patients (63 NMBC, 76 mastitis) analyzed retrospectively.
Integration of clinical variables with radiomics features enhances diagnostic value.
Clinical Best Practices
- Employ biplanar ultrasound imaging for comprehensive assessment of breast lesions.
- Consider combined clinical-radiomics models for improved diagnostic outcomes.
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