Clinical trial · Observational
A Simplified Approach to Predicting the Malignancy of Breast Lesions: Nomogram in Ultrasonography
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study aims to construct and validate a quantitative mammographic model based on breast ultrasound images, incorporating patient characteristics such as age and significant sonographic features. The model is intended for precise discrimination of breast lesions while assessing its diagnostic performance in clinical practice. Our goal is to provide a reliable adjunct tool to enhance the clinical decision-making of healthcare professionals and potentially improve early screening and accurate diagnosis of breast diseases.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
| Breast Cancer Diagnosis | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Retrospective Ultrasonographic Data Analysis | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Malignant
- description
- Malignant Breast Lesion Group: This group would include patients diagnosed with breast cancer who have undergone breast lesion surgery and had preoperative ultrasound examinations at the hospital.
- interventionNames
- Other: Retrospective Ultrasonographic Data Analysis
- label
- Benign
- description
- Benign Breast Lesion Control Group: This group would consist of patients with benign breast lesions, who also underwent breast lesion surgery and had preoperative ultrasound examinations.
- interventionNames
- Other: Retrospective Ultrasonographic Data Analysis
Primary outcomes (1)
- measure
- Accuracy of the Ultrasonographic Nomogram in Predicting Breast Lesion Malignancy
- timeFrame
- Retrospective analysis of data collected from January 2020 to June 2023
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * Patients who underwent breast lesion surgery at Renji Hospital affiliated with Shanghai Jiao Tong University School of Medicine during the specified period (January 2020 to June 2023). * Patients who had a preoperative ultrasound examination of the breast lesion at the same hospital. * Availability of complete clinical and ultrasonographic data for the patients. * Histopathological confirmation of breast lesions post-surgery. Exclusion Criteria: * Patients who received neoadjuvant therapy (chemotherapy, targeted therapy, immunotherapy, etc.) prior to surgery. * Patients diagnosed with metastatic breast malignancy. * Cases with poor quality or incomplete ultrasound images. * Patients with a Breast Imaging Reporting and Data System (BI-RADS) category 1 diagnosis. * Incomplete clinical records or missing critical data relevant to the study.
References
Publications (0)
Data not yet available