Noninvasive Evaluation of Ki-67 Overexpression in Breast Cancer Using Ultrasound Radiomics and Habitat Analysis
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By
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Li Zhu
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Shanni Dong
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Xushuang Qin
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Xiaoying Mi
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Jiaqi Zhang
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Xiaoshu Zhu
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Yuting Liu
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Jiake Hua
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Shuangxi Chen
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April 29, 2026
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Clinical Scorecard: Noninvasive Evaluation of Ki-67 Overexpression in Breast Cancer Using Ultrasound Radiomics and Habitat Analysis
At a Glance
| Category | Detail |
|---|
| Condition | Breast Cancer |
| Key Mechanisms | Integration of ultrasound radiomics and habitat analysis to predict Ki-67 expression. |
| Target Population | Women with pathologically confirmed breast cancer. |
| Care Setting | Preoperative assessment in clinical oncology. |
Key Highlights
- Clinics_Habitat_Radiomics model achieved AUC of 0.877 in training and 0.830 in validation cohorts.
- Sensitivity of 60.3% and specificity of 91.7% for predicting Ki-67 expression.
- Model integrates multimodal imaging features and clinicopathological parameters.
Guideline-Based Recommendations
Diagnosis
- Utilize ultrasound radiomics and habitat analysis for non-invasive assessment of Ki-67.
Management
- Incorporate predictive modeling into therapeutic regimen optimization.
Monitoring & Follow-up
- Use imaging biomarkers for dynamic monitoring of tumor proliferation activity.
Risks
- Consider limitations of conventional biopsy methods in capturing intratumoral heterogeneity.
Patient & Prescribing Data
Women with breast cancer undergoing preoperative evaluation.
Model assists in stratifying patients for targeted and immunotherapy selection.
Clinical Best Practices
- Adhere to BI-RADS guidelines for ultrasound image acquisition.
- Employ habitat imaging to enhance characterization of tumor microenvironments.
References
