NCT06497023

Radiomics Model Based on DCE-MRI and Ultrasound Images for Breast Lesion Classification

Multi-modality Radiomics Diagnostic Model Based on DCE-MRI and Ultrasound Images for Benign and Malignant Breast Lesion Classification

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 550 (actual)
• Sponsor: Ma Zhe · Academic / Other
• Sex: Female
• Age: 15 Years – 80 Years
• Healthy volunteers: —

Summary

To develop and compare multi-modality radiomics models based on DCE-MRI, B-mode ultrasound (BMUS) and strain elastography (SE) images for classifying benign and malignant breast lesions.

Detailed description

In this retrospective study,555 breast lesions from 555 patients who underwent DCE-MRI, BMUS and SE examinations were randomly divided into training (n =388) and testing (n = 167) datasets. Radiomics features were extracted from manually contoured images. The inter-class correlation coefficient (ICC), Mann-Whitney U test and the least absolute shrinkage and selection operator (LASSO) regression was applied for feature selection and radiomics signature building.Nine radiomics models including four single-modality radiomics models (DCE-3D, DCE-2D, BMUS, and SE), four multi-modality radiomics models (BMUS + SE, DCE-3D + BMUS, DCE-3D + SE, and DCE-3D+SE+BMUS), and the combination diagnostic model(clinical features and DCE-3D+SE+BMUS features) were developed and evaluated by their discrimination, calibration, and clinical usefulness.

Conditions

• Breast Diseases

Timeline

• Start date: 2018-01-01
• Primary completion: 2024-03-30
• Completion: 2024-03-30
• First posted: 2024-07-11
• Last updated: 2024-07-11

Locations

1 site across 1 country: China