A Simplified Approach to Predicting the Malignancy of Breast Lesions: Nomogram in Ultrasonography

NCT06185855 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 550

Last updated 2023-12-29

No results posted yet for this study

Summary

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

Interventions

OTHER

Retrospective Ultrasonographic Data Analysis

The intervention involves a detailed retrospective analysis of ultrasonographic data from patients who underwent breast lesion surgery. The study focuses on developing a quantitative nomogram model, which integrates patient age and significant sonographic characteristics of breast lesions. The purpose is to differentiate breast lesions and assess their malignancy in a non-invasive, accurate manner. This analysis uses data collected from January 2020 to June 2023, including clinical and ultrasound examination records from patients who met the inclusion criteria. The intervention does not involve any direct patient interaction or new diagnostic procedures.

Sponsors & Collaborators

  • RenJi Hospital

    lead OTHER

Principal Investigators

  • Lixin Jiang · Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-12-30
Primary Completion
2024-01-01
Completion
2024-03-01

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06185855 on ClinicalTrials.gov