Can MRI biomarkers at 3 T identify low-risk ductal carcinoma in situ?

Abstract Objective The objective was to explore whether 3-T magnetic resonance imaging (MRI) can identify low-risk ductal carcinoma in situ (DCIS). Methods Dynamic contrast-enhanced and diffusion-weighted (DWI) MRI features of 36 DCIS lesions [8 low risk, Van Nuys Pathologic Classification (VNPC) 1;...

Full description

Saved in:
Bibliographic Details
Published in:Clinical imaging 2016-01, Vol.40 (1), p.125-129
Main Authors: Rahbar, Habib, Parsian, Sana, Lam, Diana L, Dontchos, Brian N, Andeen, Nicole K, Rendi, Mara H, Lehman, Constance D, Partridge, Savannah C
Format: Article
Language:English
Subjects:
Biomarker
Biomarkers
Breast cancer
Breast Neoplasms - pathology
Carcinoma, Intraductal, Noninfiltrating - pathology
Classification
Confidence intervals
Contrast Media
Diagnosis, Differential
Diffusion coefficient
Diffusion Magnetic Resonance Imaging
Diffusion-weighted imaging
Ductal carcinoma in situ
Female
Health Insurance Portability & Accountability Act 1996-US
Humans
Image Enhancement
Lesions
Logistic Models
Logistics
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Mammography
Middle Aged
Morphology
MRI
NMR
Nuclear magnetic resonance
Patients
Radiology
Regression
Reproducibility of Results
Risk
ROC Curve
Studies
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Objective The objective was to explore whether 3-T magnetic resonance imaging (MRI) can identify low-risk ductal carcinoma in situ (DCIS). Methods Dynamic contrast-enhanced and diffusion-weighted (DWI) MRI features of 36 DCIS lesions [8 low risk, Van Nuys Pathologic Classification (VNPC) 1; 28 high risk, VNPC 2/3] were reviewed. An MRI model that best identified low-risk DCIS was determined using multivariate logistic regression. Results Low-risk DCIS exhibited different DWI properties [i.e., higher contrast-to-noise ratio ( P = .02) and lower normalized apparent diffusion coefficients ( P = .04)] than high-risk DCIS. A model combining these DWI features provided best performance (area under receiver operating characteristic curve = 0.86). Conclusions DWI may help identify DCIS lesions requiring less therapy.
ISSN:0899-7071
1873-4499
DOI:10.1016/j.clinimag.2015.07.026