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

Ma Zhe550 enrolled

Overview

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.

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.

Study Type

OBSERVATIONAL

Enrollment

550

Conditions

Breast Diseases

Eligibility

Sex: FEMALEMin age: 15 YearsMax age: 80 Years

Medical Language ↔ Plain English

Inclusion Criteria: Patients with breast lesions underwent biopsy or surgical resection between January 1, 2018 and March 30, 2024. Exclusion Criteria: 1. pathologicalresult of biopsy or surgical specimen was unavailable for the target lesion; 2. patients without DCE-MRI, BMUS and SE examinations before biopsy or surgery within one month; 3. patients hadperformed radiotherapy, chemotherapy, or breast biopsy before MRI and ultrasound examinations; 4. patients without completeDICOM data for each examination; 5. patients with poor-qualityimages.

Locations (1)

QianfoshanH

Jinan, Shandong, China

Outcomes

Primary Outcomes

Accuracy of different diagnostic models

The accuracy of nine diagnostic 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 is the ratio of the sum of True Positive and True Negative to the total of True Positive, True Negative, False Positive, and False Negative.

Time frame: Immediately evaluated after the radiomcis diagnostic model was built

Secondary Outcomes

Sensitivity of different diagnostic models

The sensitivity of nine diagnostic models, four single-modality radiomics models (DCE-3D, DCE-2D, BMUS, and SE), including four multi-modality radiomics models (BMUS + SE, DCE-3D + BMUS, DCE-3D + SE, and DCE-3D+SE+BMUS), and the combination diagnostic model is the ratio of True Positive to the sum of True Positive and False Negative.

Time frame: Immediately evaluated after the radiomcis diagnostic model was built

Data from ClinicalTrials.gov

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