2019
Classification 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
2018
Quantitative background parenchymal uptake on molecular breast imaging and breast cancer risk: a case-control study
Hruska CB, Geske JR, Swanson TN, Mammel AN, Lake DS, Manduca A, Conners AL, Whaley DH, Scott CG, Carter RE, Rhodes DJ, O’Connor M, Vachon CM. Quantitative background parenchymal uptake on molecular breast imaging and breast cancer risk: a case-control study. Breast Cancer Research 2018, 20: 46. PMID: 29871661, PMCID: PMC5989426, DOI: 10.1186/s13058-018-0973-3.Peer-Reviewed Original Research
2016
Dense Breasts: What Do Our Patients Need to Be Told and Why?
Throckmorton AD, Rhodes DJ, Hughes KS, Degnim AC, Dickson-Witmer D. Dense Breasts: What Do Our Patients Need to Be Told and Why? Annals Of Surgical Oncology 2016, 23: 3119-3127. PMID: 27401446, DOI: 10.1245/s10434-016-5400-3.Peer-Reviewed Original ResearchConceptsBreast cancer prevention strategiesEvidence-based consensus guidelinesDense breastsBreast cancer risk assessmentOnly risk factorCancer prevention strategiesCancer risk assessmentDelaying diagnosisCertain patientsConsensus guidelinesRisk factorsDensity notificationSupplemental imagingPrevention strategiesPatientsBreast densityBreastRisk assessmentCancerDiagnosisWomenBackground 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
Awareness of Breast Density and Its Impact on Breast Cancer Detection and Risk
Rhodes DJ, Radecki Breitkopf C, Ziegenfuss JY, Jenkins SM, Vachon CM. Awareness of Breast Density and Its Impact on Breast Cancer Detection and Risk. Journal Of Clinical Oncology 2015, 33: 1143-1150. PMID: 25732156, PMCID: PMC4551864, DOI: 10.1200/jco.2014.57.0325.Peer-Reviewed Original ResearchMeSH KeywordsAwarenessBlack or African AmericanBreastBreast NeoplasmsCross-Sectional StudiesEarly Detection of CancerEducational StatusFemaleHealth Knowledge, Attitudes, PracticeHealthcare DisparitiesHispanic or LatinoHumansLogistic ModelsMammographyMass ScreeningMiddle AgedMultivariate AnalysisRisk FactorsSocial ClassUnited StatesWhite PeopleConceptsRace/ethnicityBD awarenessWhite non-Hispanic race/ethnicityCancer detectionPostmenopausal hormone therapyNational cross-sectional surveyNon-Hispanic race/ethnicityPrior breast biopsyBreast cancer detectionHealth care providersCross-sectional surveyBreast density informationMultivariable adjustmentHormone therapyDiagnostic evaluationCancer riskCare providersBreast biopsyConnecticut residentsBreast densityHigher household incomeProbability-based sampleHousehold incomeWomenRisk
2012
Risk of cardiovascular events in patients with polycystic ovary syndrome.
Iftikhar S, Collazo-Clavell M, Roger V, St Sauver J, Brown R, Cha S, Rhodes D. Risk of cardiovascular events in patients with polycystic ovary syndrome. The Netherlands Journal Of Medicine 2012, 70: 74-80. PMID: 22418753, PMCID: PMC3582228.Peer-Reviewed Original ResearchConceptsPolycystic ovary syndromeCV eventsLipoprotein cholesterolOvary syndromeRisk factorsCoronary artery bypass graft surgeryRochester Epidemiology Project resourcesArtery bypass graft surgeryHigh-density lipoprotein cholesterolLow-density lipoprotein cholesterolType 2 diabetes mellitusHigher body mass indexBypass graft surgeryCardiovascular risk factorsCV risk factorsRetrospective cohort studyAdverse CV outcomesBody mass indexCV outcomesCardiovascular eventsCV diseaseGraft surgeryOlmsted CountyCohort studyPCOS diagnosis
2010
Dedicated Dual-Head Gamma Imaging for Breast Cancer Screening in Women with Mammographically Dense Breasts
Rhodes DJ, Hruska CB, Phillips SW, Whaley DH, O'Connor MK. Dedicated Dual-Head Gamma Imaging for Breast Cancer Screening in Women with Mammographically Dense Breasts. Radiology 2010, 258: 106-18. PMID: 21045179, DOI: 10.1148/radiol.10100625.Peer-Reviewed Original ResearchConceptsPositive predictive valueBreast cancerDense breastsDiagnostic yieldNode-negative breast cancerAdditional risk factorsNumber of patientsGamma imagingNumber of biopsiesBreast cancer screeningHIPAA-compliant protocolIpsilateral cancerAbnormal findingsAsymptomatic womenEligible participantsCancer screeningRisk factorsSestamibi injection
2009
Premature menopause or early menopause: Long-term health consequences
Shuster LT, Rhodes DJ, Gostout BS, Grossardt BR, Rocca WA. Premature menopause or early menopause: Long-term health consequences. Maturitas 2009, 65: 161-166. PMID: 19733988, PMCID: PMC2815011, DOI: 10.1016/j.maturitas.2009.08.003.Peer-Reviewed Original ResearchConceptsPremature menopauseEarly menopauseAdverse outcomesEstrogen treatmentHealth consequencesLong-term health consequencesMayo Clinic Cohort StudyOnset of menopauseTime of menopauseCohort studyMedian ageOverall mortalityEstrogen deficiencyNatural menopauseCardiovascular diseaseLong-term consequencesCurrent evidenceMenopausePsychiatric diseasesNeurological diseasesHormonal mechanismsDiseaseWomenOutcomesEarly ageIncreased Mortality for Neurological and Mental Diseases following Early Bilateral Oophorectomy
Rivera CM, Grossardt BR, Rhodes DJ, Rocca WA. Increased Mortality for Neurological and Mental Diseases following Early Bilateral Oophorectomy. Neuroepidemiology 2009, 33: 32-40. PMID: 19365140, PMCID: PMC2697609, DOI: 10.1159/000211951.Peer-Reviewed Original ResearchConceptsAge 45 yearsBilateral oophorectomyReferent womenUnilateral oophorectomyMental diseasesBenign ovarian conditionsEarly bilateral oophorectomyTime of oophorectomyOnset of menopauseEffect of oophorectomyOophorectomy cohortOlmsted CountyCohort studyConcurrent hysterectomyOophorectomyBrain agingAge strataMortalityOvarian conditionContributory causeWomenDiseaseYearsSame populationHysterectomyIncreased cardiovascular mortality after early bilateral oophorectomy
Rivera CM, Grossardt BR, Rhodes DJ, Brown RD, Roger VL, Melton LJ, Rocca WA. Increased cardiovascular mortality after early bilateral oophorectomy. Menopause The Journal Of The North American Menopause Society 2009, 16: 15-23. PMID: 19034050, PMCID: PMC2755630, DOI: 10.1097/gme.0b013e31818888f7.Peer-Reviewed Original ResearchConceptsAge 45 yearsBilateral oophorectomyReferent womenCardiovascular diseaseUnilateral oophorectomyCardiovascular mortalityEstrogen treatmentEarly bilateral oophorectomyOnset of menopauseOophorectomy cohortCardiac mortalityOlmsted CountyCohort studyCerebrovascular causesOophorectomyAge strataMortalityDiseaseWomenMenopauseEstrogenTreatmentSame populationYearsCohort