Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADS

Abstract

A.M.J. and W.S. contributed equally to this work.q RSNA, 2016 Purpose:To compare three metrics of breast density on full-field digital mammographic (FFDM) images as predictors of future breast cancer risk. Materials and Methods:This institutional review board-approved study included 125 women with invasive breast cancer and 274 age-and race-matched control subjects who underwent screening FFDM during 2004-2013 and provided informed consent. The percentage of density and dense area were assessed semiautomatically with software (Cumulus 4.0; University of Toronto, Toronto, Canada), and volumetric percentage of density and dense volume were assessed automatically with software (Volpara; Volpara Solutions, Wellington, New Zealand). Clinical Breast Imaging Reporting and Data System (BI-RADS) classifications of breast density were extracted from mammography reports. Odds ratios and 95% confidence intervals (CIs) were estimated by using conditional logistic regression stratified according to age and race and adjusted for body mass index, parity, and menopausal status, and the area under the receiver operating characteristic curve (AUC) was computed. Results:The adjusted odds ratios and 95% Conclusion:Mammographic density on FFDM images was positively associated with breast cancer risk by using the computer assisted methods and BI-RADS. BI-RADS classification was as accurate as computer-assisted methods for discrimination of patients from control subjects.q RSNA, 2016

Correlation of mammographic density and serum calcium levels in patients with primary breast cancer

“…This may reduce measurement inaccuracies. Both semiautomated assessments and automated volumetric density showed similar results . Especially in images with low quality, automated assessment programs have higher (about 10%) failure rate of valid density values compared to semiautomated programs.…”

Design and clinical validation of a software program for automated measurement of mammographic breast density

“…In the absence of a gold-standard method for measuring breast density, a visual quantification based on the 4th edition of the BI-RADS® was used as reference method because it considers the proportion of dense tissue in relation to the whole breast, in addition to having strong evidence of an association with breast cancer risk [30,31]. The 5th edition of BI-RADS® no longer quantitatively considers density and therefore brings greater interpretive subjectivity.…”

Mammographic Density as a Criterion of the Efficiency of Treatment of Benign Breast Disease and Reducing Risk of Breast Cancer

“…Недавно был проведен метаанализ 32 эпидемиологических ре-троспективных и проспективных исследований о свя-зи мастопатии с риском рака МЖ. Средний возраст пациенток в период выявления мастопатии при биоп-сии составил 46,1 года, средний возраст диагноза рака МЖ -55,9, средний срок наблюдения -12,8 года (3,(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)6); относительный риск рака МЖ при непро-лиферативных формах мастопатии статистически не-достоверно повышался до 1,17, при пролиферативных формах без атипии -статистически достоверно повы-шался до 1,76, при пролиферативных формах с ати-пией -до 3,93. Авторы делают вывод, что пролифера-тивные формы мастопатии как без атипии, так и с атипией значимо повышают риск рака МЖ [8].…”

“…МГП оцени-вается в процентах фиброзно-железистой ткани на маммограммах автоматически или полуавтоматически с помощью специальных компьютерных программ или визуально по различным классификациям, из ко-торых наиболее популярна система BI-RADS (Breast Imaging Reporting and Data System) [15]. С возрастом величина МГП снижается и, как правило, у женщин в постменопаузе не превышает 10-30 %, а в идеале должна быть нулевой, то есть у женщин в менопаузе должна произойти полная жировая инволюция МЖ [12].…”