Breast MRI for Cancer Detection and Characterization

DeMartini, Wendy B.; Lehman, Constance D.; Partridge, Savannah C.

doi:10.1016/j.acra.2007.11.006

Cited by 90 publications

(29 citation statements)

References 71 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study patient factors such as age, breast density, higher cancer stage and a greater number of prior breast procedures before initial diagnosis were associated with receipt of preoperative breast MRI. This is evidence of clinical selection, and is largely consistent with prior literature and guidelines regarding the effective use of MRI [29, 30]. However the inclusion of these variables (i.e.…”

Section: Discussionsupporting

confidence: 81%

Predictors of preoperative MRI for breast cancer: differences by data source

Loggers

Gao

Gold

et al. 2015

J. Compar. Effect. Res.

View full text Add to dashboard Cite

Aim Investigate how the results of predictive models of preoperative magnetic resonance imaging (MRI) for breast cancer change based on available data Materials and Methods 1919 insured women aged ≥18 with stage 0-III breast cancer diagnosed 2002-2009. Four models were compared using nested multivariable logistic, backwards stepwise regression; model fit was assessed via area under the curve (AUC), R2. Results MRI recipients (n=245) were more recently diagnosed, younger, less comorbid, with higher stage disease. Significant variables included: Model 1/Claims (AUC=.76, R2=0.10): year, age, location, income; Model 2/Cancer Registry (AUC=.78, R2 =0.12): stage, breast density, imaging indication; Model 3/Medical Record (AUC=.80, R2 =0.13): radiologic recommendations; Model 4/Risk Factor Survey (AUC=.81, R2 =0.14): procedure count. Conclusions Clinical variables accounted for little of the observed variability compared to claims data.

show abstract

Section: Discussionsupporting

confidence: 81%

Predictors of preoperative MRI for breast cancer: differences by data source

Loggers

Gao

Gold

et al. 2015

J. Compar. Effect. Res.

View full text Add to dashboard Cite

show abstract

“…Breast MRI is widely regarded as the most sensitive breast screening technique and is increasingly recommended for high-risk population screening, preoperative staging and therapy monitoring [1]. Conventional breast MRI examinations incorporate multiple pulse sequences, typically including a T2-weighted bright fluid sequence and a dynamic contrast enhanced MRI (DCE-MRI) sequence consisting of multiple T1-weighted sequences before and after contrast injection, as recommended by the American College of Radiology (ACR) [2].…”

Section: Introductionmentioning

confidence: 99%

DWI in the Assessment of Breast Lesions

Partridge

Amornsiripanitch

2017

Topics in Magnetic Resonance Imaging

View full text Add to dashboard Cite

Diffusion-weighted MRI (DWI) holds promise to address some of the shortcomings of routine clinical breast MRI and to expand the capabilities of imaging in breast cancer management. DWI reflects tissue microstructure, and provides unique information to aid in characterization of breast lesions. Potential benefits under investigation include improving diagnostic accuracy and guiding treatment decisions. As a result, DWI is increasingly being incorporated into breast MRI protocols and multicenter trials are underway to validate single institution findings and to establish clinical guidelines. Advancements in DWI acquisition and modeling approaches are helping to improve image quality and extract additional biologic information from breast DWI scans, which may extend diagnostic and prognostic value.

show abstract

“…Multiple studies have shown that MRI is more sensitive than mammography in detecting breast cancer but has lower specificity, substantially higher cost, and is more invasive, requiring an injection of intravenous contrast material 2-10 . Furthermore, there have been no randomized trials to determine whether breast MRI reduces breast cancer mortality more than mammography.…”

Section: Introductionmentioning

confidence: 99%