Multiple B-value Diffusion-weighted Imaging(DWI) in Evaluation of Breast Lesions

Breast Neoplasms Clinical Trial

Official title: Multiple B-value Diffusion-weighted Imaging in Evaluation of Breast Lesions：Compare Biexponential Model, Stretched Exponential Model, Conventional Monoexponential DWI and Pathological Specimens.

Status Recruiting

Clinical Trial Summary

Breast cancer is the most commonly diagnosed cancer in women and its definite diagnose is still challenge for radiologist. This study is going to evaluate multi-b value diffusion weighted imaging in discrimination of breast benign and malignant lesions and explore the diagnostic effect of the combination of multi-parameter. At the same time, pathological specimens of patients will be collected. The relationship between magnetic resonance(MR) parameters and pathology biomarkers will be evaluated. Hope multi-b value diffusion weighted imaging can improve diagnosis for breast lesion and provide the basis for clinical treatment. The fundamental of pathology on MR signal change will be further expounded.

Clinical Trial Description

Breast cancer is the most commonly diagnosed cancer in women and its definite diagnose is still challenge for radiologist. This study is going to evaluate multi-b values diffusion weighted imaging in discrimination of breast benign and malignant lesions and explore the diagnostic effect of the combination of multi-parameters. At the same time, pathological specimens of patients will be collected. The relationship between MR parameters and pathology biomarkers will be evaluated. By pre-contrast and post-contrast multi-b values diffusion weighted imaging series, patient's Apparent diffusion coefficient(ADC),tissue diffusivity (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), distributed diffusion coefficient(DDC) and alpha will be evaluated. Parameters of benign , malignant breast lesions and ipsilateral or contralateral normal breast parenchyma as a control group will be measured. Receiver operating characteristic (ROC) curve analysis is used to test the ability of different parameters in differentiating malignant from begin lesions. After Surgical operation, specimen of lesion will be collected(Not every patient's specimen will be collected. The investigators should be approved by patient themselves). The biomarkers of specimen will be detected by pathological and molecular-biological methods.Then analyze the relation between parameters of the MR imaging and pathological/molecular-biological biomarkers. ;

Study Design

Time Perspective: Prospective

Related Conditions & MeSH terms

• Breast Neoplasms
• DWI

• NCT number: NCT02529384
• Study type: Observational
• Source: Tang-Du Hospital
• Contact: Bao Ying Chen, M . D .
• Phone: 18629527901
• Email: chenby128@163.com
• Status: Recruiting
• Phase: N/A
• Start date: January 2015
• Completion date: December 2019