2021
Background Parenchymal Uptake on Molecular Breast Imaging and Breast Cancer Risk: A Cohort Study.
Hruska CB, Geske JR, Conners AL, Whaley DH, Rhodes DJ, O'Connor MK, Carter RE, Scott CG, Vachon CM. Background Parenchymal Uptake on Molecular Breast Imaging and Breast Cancer Risk: A Cohort Study. American Journal Of Roentgenology 2021, 216: 1193-1204. PMID: 32755210, PMCID: PMC8640999, DOI: 10.2214/ajr.20.23854.Peer-Reviewed Original ResearchConceptsBackground parenchymal uptakeMolecular breast imagingPostmenopausal womenBreast cancer riskAbsolute riskBreast cancerCohort studyDiscriminatory accuracyDense breastsRisk factorsParenchymal uptakeCancer riskRisk scoreFuture breast cancer diagnosisGreater breast cancer riskBreast cancer risk factorsCox proportional hazards modelGail risk scoreBreast cancer eventsIndependent risk factorSubset of womenCancer risk factorsCase-control studyProportional hazards modelBreast cancer diagnosis
2019
Impact of short-term low-dose tamoxifen on molecular breast imaging background parenchymal uptake: a pilot study
Hruska CB, Hunt KN, Conners AL, Geske JR, Brandt KR, Degnim AC, Vachon CM, O’Connor M, Rhodes DJ. Impact of short-term low-dose tamoxifen on molecular breast imaging background parenchymal uptake: a pilot study. Breast Cancer Research 2019, 21: 38. PMID: 30850011, PMCID: PMC6408779, DOI: 10.1186/s13058-019-1120-5.Peer-Reviewed Original ResearchConceptsLow-dose tamoxifenMolecular breast imagingBackground parenchymal uptakeOral tamoxifenParenchymal uptakeBreast cancer risk reductionBreast cancer risk factorsEffectiveness of tamoxifenCancer risk factorsCancer risk reductionBreast cancer historyShort-term interventionMean ageCancer historyRisk factorsBreast fibroglandular tissueTamoxifenMolecular breastAverage countStudy participantsSubcutaneous fatPilot studyWomenT-testInterventionClassification of Background Parenchymal Uptake on Molecular Breast Imaging Using a Convolutional Neural Network
Carter RE, Attia ZI, Geske JR, Conners AL, Whaley DH, Hunt KN, O’Connor M, Rhodes DJ, Hruska CB. Classification of Background Parenchymal Uptake on Molecular Breast Imaging Using a Convolutional Neural Network. JCO Clinical Cancer Informatics 2019, 3: 1-11. PMID: 30807208, PMCID: PMC6446086, DOI: 10.1200/cci.18.00133.Peer-Reviewed Original ResearchConceptsConvolutional neural networkNeural networkDeep learning modelsImage convolutionLearning modelModel performanceBackground parenchymal uptakeTesting dataComputer algorithmAlgorithmExpert radiologistsNetworkDirect matchingDirect matchAccuracyImagesClassificationResearch purposesPerformanceBreast imagingConvolutionEncodingMatchingModelingTraining
2016
Background parenchymal uptake on molecular breast imaging as a breast cancer risk factor: a case-control study
Hruska CB, Scott CG, Conners AL, Whaley DH, Rhodes DJ, Carter RE, O’Connor M, Hunt KN, Brandt KR, Vachon CM. Background parenchymal uptake on molecular breast imaging as a breast cancer risk factor: a case-control study. Breast Cancer Research 2016, 18: 42. PMID: 27113363, PMCID: PMC4845425, DOI: 10.1186/s13058-016-0704-6.Peer-Reviewed Original ResearchConceptsBackground parenchymal uptakeCase-control studyBreast cancer casesRisk factorsBreast cancerCancer casesParenchymal uptakeIncident breast cancer casesBreast cancer risk factorsRetrospective case-control studyDense breastsConditional logistic regression analysisInvasive breast cancer casesPostmenopausal hormone useCancer risk factorsFunctional imaging biomarkersBreast cancer riskLogistic regression analysisBI-RADS densityPostmenopausal womenEligible womenMenopausal statusHormone useMedian ageSupplemental screening
2015
Effect of Menstrual Cycle Phase on Background Parenchymal Uptake at Molecular Breast Imaging
Hruska CB, Conners AL, Vachon CM, O'Connor MK, Shuster LT, Bartley AC, Rhodes DJ. Effect of Menstrual Cycle Phase on Background Parenchymal Uptake at Molecular Breast Imaging. Academic Radiology 2015, 22: 1147-1156. PMID: 26112057, PMCID: PMC4532620, DOI: 10.1016/j.acra.2015.04.003.Peer-Reviewed Original ResearchMeSH KeywordsAdultBreastBreast DensityChromatography, LiquidCohort StudiesEstradiolEstroneFemaleFollicle Stimulating HormoneFollicular PhaseHumansLuteal PhaseMammographyMiddle AgedMolecular ImagingPremenopauseProgesteroneProspective StudiesRadiopharmaceuticalsSex Hormone-Binding GlobulinTandem Mass SpectrometryTechnetium Tc 99m SestamibiTestosteroneConceptsBackground parenchymal uptakeMolecular breast imagingMenstrual cycle phaseLuteal phaseMenstrual cycleNondense breastsFollicular phaseHormone levelsParenchymal uptakeDense breastsExogenous hormone useRegular menstrual cyclesLevels of TCCycle phaseNormal fibroglandular tissuePremenopausal volunteersPremenopausal womenHormone useSpearman correlation coefficientBreast imagingStudy radiologistsMammographic densityBreastFibroglandular tissueWomenBackground parenchymal uptake during molecular breast imaging and associated clinical factors.
Hruska CB, Rhodes DJ, Conners AL, Jones KN, Carter RE, Lingineni RK, Vachon CM. Background parenchymal uptake during molecular breast imaging and associated clinical factors. American Journal Of Roentgenology 2015, 204: w363-70. PMID: 25714323, PMCID: PMC4423612, DOI: 10.2214/ajr.14.12979.Peer-Reviewed Original ResearchConceptsBackground parenchymal uptakePostmenopausal hormone therapyParenchymal uptakeBreast cancerMolecular breast imagingHormone therapyClinical factorsMammographic densityDense breastsBI-RADS density categoriesChi-square testMenopausal statusPatient characteristicsHormonal contraceptivesEligible participantsGail modelMenstrual cycleSubsequent riskPrevious mammogramsMolecular breastBreast implantsUnderlying causeCancerBreastWomen