about
Predicting invasive breast cancer versus DCIS in different age groupsAxial-shear strain imaging for differentiating benign and malignant breast masses.CT Colonography Reporting and Data System (C-RADS): benchmark values from a clinical screening program.Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings.Feasibility of near-infrared diffuse optical spectroscopy on patients undergoing imageguided core-needle biopsyCirculating serum xenoestrogens and mammographic breast densityMammographic breast density and serum phytoestrogen levels.Pursuing optimal thresholds to recommend breast biopsy by quantifying the value of tomosynthesis.Socioeconomic disparities in the decline in invasive breast cancer incidence.Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.Validation of results from knowledge discovery: mass density as a predictor of breast cancer.The mammographic density of a mass is a significant predictor of breast cancer.Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors.Effects of screening and systemic adjuvant therapy on ER-specific US breast cancer mortality.The ACR BI-RADS experience: learning from history.Addressing the challenge of assessing physician-level screening performance: mammography as an example.The vitamin D pathway and mammographic breast density among postmenopausal womenBayesian networks: computer-assisted diagnosis support in radiology.Automatic classification of mammography reports by BI-RADS breast tissue composition class.What is the optimal threshold at which to recommend breast biopsy?Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience.Use of microcalcification descriptors in BI-RADS 4th edition to stratify risk of malignancy.Artificial neural networks in mammography interpretation and diagnostic decision makingVariation in diagnostic performance among radiologists at screening CT colonographyDifferentiating benign from malignant solid breast masses with US strain imaging.Informatics in radiology: comparison of logistic regression and artificial neural network models in breast cancer risk estimation.A logistic regression model based on the national mammography database format to aid breast cancer diagnosis.The Effect of Budgetary Restrictions on Breast Cancer Diagnostic DecisionsA comprehensive methodology for determining the most informative mammographic features.Predicting Malignancy from Mammography Findings and Surgical Biopsies.Fluorescence spectroscopy: an adjunct diagnostic tool to image-guided core needle biopsy of the breastOptimal Policies for Reducing Unnecessary Follow-up Mammography Exams in Breast Cancer Diagnosis.Utility of 6-month follow-up imaging after a concordant benign breast biopsy result.Impact of axillary ultrasound and core needle biopsy on the utility of intraoperative frozen section analysis and treatment decision making in women with invasive breast cancer.American College Of Radiology/Society of Breast Imaging curriculum for resident and fellow education in breast imaging.Movement of a biopsy-site marker clip after completion of stereotactic directional vacuum-assisted breast biopsy: case report.Cost benefits of picture archiving and communications systems.The impact of alternative practices on the cost and quality of mammographic screening in the United States.Toward Best Practices in Radiology Reporting
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P50
description
hulumtuese
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Elizabeth S Burnside
@ast
Elizabeth S Burnside
@en
Elizabeth S Burnside
@es
Elizabeth S Burnside
@nl
Elizabeth S Burnside
@sl
type
label
Elizabeth S Burnside
@ast
Elizabeth S Burnside
@en
Elizabeth S Burnside
@es
Elizabeth S Burnside
@nl
Elizabeth S Burnside
@sl
prefLabel
Elizabeth S Burnside
@ast
Elizabeth S Burnside
@en
Elizabeth S Burnside
@es
Elizabeth S Burnside
@nl
Elizabeth S Burnside
@sl
P1053
M-9414-2014
P106
P21
P2456
b/ESBurnside
P31
P3829
P496
0000-0002-6600-435X