The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories.
about
Fast label-free multilayered histology-like imaging of human breast cancer by photoacoustic microscopyQuantitative assessment of in vivo breast masses using ultrasound attenuation and backscatter.How to improve your breast cancer program: Standardized reporting using the new American College of Radiology Breast Imaging-Reporting and Data System.The contribution of three-dimensional power Doppler imaging in the preoperative assessment of breast tumors: a preliminary reportSerum calcium levels, TRPM7, TRPC1, microcalcifications, and breast cancer using breast imaging reporting and data system scoresA data-driven approach for quality assessment of radiologic interpretations.Adjunctive targeted contrast-enhanced ultrasonography for the work-up of Breast Imaging Reporting and Data System category 3 and 4 lesions.Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings.Evaluation of the role of dynamic contrast-enhanced MR imaging for patients with BI-RADS 3-4 microcalcificationsIs the appearance of microcalcifications on mammography useful in predicting histological grade of malignancy in ductal cancer in situ?Photoacoustic imaging of breast microcalcifications: a preliminary study with 8-gauge core-biopsied breast specimensValidation of results from knowledge discovery: mass density as a predictor of breast cancer.The Breast Imaging Reporting and Data System (BI-RADS) in the Dutch breast cancer screening programme: its role as an assessment and stratification tool.Second Opinion Assessment in Diagnostic Mammography at a Breast Cancer CentreThe mammographic density of a mass is a significant predictor of breast cancer.Comparison of algorithms to enhance spicules of spiculated masses on mammography.Poor patient comprehension of abnormal mammography resultsCommunication factors in the follow-up of abnormal mammograms.The ACR BI-RADS experience: learning from history.The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammogramsApplication of image-guided biopsy for impalpable breast lesions in Chinese women.The management of lobular neoplasia identified on percutaneous core breast biopsy.Ductal carcinoma in situ and sentinel lymph node biopsy.Leveraging Expert Knowledge to Improve Machine-Learned Decision Support Systems.Positive predictive value of BI-RADS MR imaging.External validation of a publicly available computer assisted diagnostic tool for mammographic mass lesions with two high prevalence research datasets.Potential applications of vibro-acoustography in breast imaging.Dual-Energy Contrast-Enhanced Spectral Mammography: Enhancement Analysis on BI-RADS 4 Non-Mass Microcalcifications in Screened Women.Rationale for a diagnostic chain in gestational breast tumor diagnosis.Incidental breast lesions detected on CT: what is their significance?Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation.Breast cancer risk prediction and mammography biopsy decisions: a model-based study.Factors influencing time to diagnosis after abnormal mammography in diverse women.Full Intelligent Cancer Classification of Thermal Breast Images to Assist Physician in Clinical Diagnostic Applications.A history of breast cancer and older age allow risk stratification of mammographic BI-RADS 3 ratings in the diagnostic settingDeveloping a clinical utility framework to evaluate prediction models in radiogenomicsIntermediate to highly suspicious calcification in breast lesions: a radio-pathologic correlation.Modern concepts of ductal carcinoma in situ (DCIS) and its diagnosis through percutaneous biopsy.Predictive performance of BI-RADS magnetic resonance imaging descriptors in the context of suspicious (category 4) findings.
P2860
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P2860
The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories.
description
1998 nî lūn-bûn
@nan
1998 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
1998 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
1998年の論文
@ja
1998年論文
@yue
1998年論文
@zh-hant
1998年論文
@zh-hk
1998年論文
@zh-mo
1998年論文
@zh-tw
1998年论文
@wuu
name
The breast imaging reporting a ...... d final assessment categories.
@ast
The breast imaging reporting a ...... d final assessment categories.
@en
type
label
The breast imaging reporting a ...... d final assessment categories.
@ast
The breast imaging reporting a ...... d final assessment categories.
@en
prefLabel
The breast imaging reporting a ...... d final assessment categories.
@ast
The breast imaging reporting a ...... d final assessment categories.
@en
P2093
P1476
The breast imaging reporting a ...... nd final assessment categories
@en
P2093
Abramson AF
Dershaw DD
Glassman JR
Liberman L
Squires FB
P356
10.2214/AJR.171.1.9648759
P407
P577
1998-07-01T00:00:00Z