2022
Optoacoustic Imaging With Decision Support for Differentiation of Benign and Malignant Breast Masses: A 15-Reader Retrospective Study.
Seiler S, Neuschler E, Butler R, Lavin P, Dogan B. Optoacoustic Imaging With Decision Support for Differentiation of Benign and Malignant Breast Masses: A 15-Reader Retrospective Study. American Journal Of Roentgenology 2022, 220: 646-658. PMID: 36475811, DOI: 10.2214/ajr.22.28470.Peer-Reviewed Original Research
2020
Screening Breast Ultrasound: Update After 10 Years of Breast Density Notification Laws.
Butler RS, Hooley RJ. Screening Breast Ultrasound: Update After 10 Years of Breast Density Notification Laws. American Journal Of Roentgenology 2020, 214: 1424-1435. PMID: 32182096, DOI: 10.2214/ajr.19.22275.Peer-Reviewed Original ResearchMeSH KeywordsBreast DensityBreast NeoplasmsEarly Detection of CancerFemaleHumansMass ScreeningUltrasonography, MammaryUnited States
2019
Optoacoustic Imaging and Gray-Scale US Features of Breast Cancers: Correlation with Molecular Subtypes.
Dogan BE, Menezes GLG, Butler RS, Neuschler EI, Aitchison R, Lavin PT, Tucker FL, Grobmyer SR, Otto PM, Stavros AT. Optoacoustic Imaging and Gray-Scale US Features of Breast Cancers: Correlation with Molecular Subtypes. Radiology 2019, 292: 564-572. PMID: 31287388, DOI: 10.1148/radiol.2019182071.Peer-Reviewed Original ResearchConceptsBreast cancer molecular subtypesHuman epidermal growth factor receptorLuminal breast cancerCancer molecular subtypesUS featuresEpidermal growth factor receptorMolecular subtypesGrowth factor receptorBreast cancerProspective multi-institutional studyFactor receptorLogistic regression analysisMulti-institutional studyLogistic regression modelsMultinomial logistic regression analysisGray-scale USMultinomial logistic regression modelsImmunohistochemistry findingsMean ageInvasive cancerPathologic diagnosisPathology reportsUS scoreKruskal-Wallis testCancer subtypes
2018
Optoacoustic Breast Imaging: Imaging-Pathology Correlation of Optoacoustic Features in Benign and Malignant Breast Masses.
Butler R, Lavin PT, Tucker FL, Barke LD, Böhm-Vélez M, Destounis S, Grobmyer SR, Katzen J, Kist KA, Makariou EV, Schilling KJ, Young CA, Dogan BE, Neuschler EI. Optoacoustic Breast Imaging: Imaging-Pathology Correlation of Optoacoustic Features in Benign and Malignant Breast Masses. American Journal Of Roentgenology 2018, 211: 1155-1170. PMID: 30106610, DOI: 10.2214/ajr.17.18435.Peer-Reviewed Original ResearchAdultBreast NeoplasmsFemaleHumansImage EnhancementMiddle AgedPhotoacoustic TechniquesUltrasonography, MammaryDowngrading and Upgrading Gray-Scale Ultrasound BI-RADS Categories of Benign and Malignant Masses With Optoacoustics: A Pilot Study.
Neuschler EI, Lavin PT, Tucker FL, Barke LD, Bertrand ML, Böhm-Vélez M, Destounis S, Dogan BE, Grobmyer SR, Katzen J, Kist KA, Makariou EV, Parris TM, Young CA, Butler R. Downgrading and Upgrading Gray-Scale Ultrasound BI-RADS Categories of Benign and Malignant Masses With Optoacoustics: A Pilot Study. American Journal Of Roentgenology 2018, 211: 689-700. PMID: 29975115, DOI: 10.2214/ajr.17.18436.Peer-Reviewed Original ResearchInvited Commentary: Handheld or Automated—Staying Focused on the Goals of Screening US, with Response from Drs van Zelst and Mann
Butler RS. Invited Commentary: Handheld or Automated—Staying Focused on the Goals of Screening US, with Response from Drs van Zelst and Mann. RadioGraphics 2018, 38: 683-687. PMID: 29757727, DOI: 10.1148/rg.2018180033.Peer-Reviewed Original Research
2017
A Pivotal Study of Optoacoustic Imaging to Diagnose Benign and Malignant Breast Masses: A New Evaluation Tool for Radiologists
Neuschler EI, Butler R, Young CA, Barke LD, Bertrand ML, Böhm-Vélez M, Destounis S, Donlan P, Grobmyer SR, Katzen J, Kist KA, Lavin PT, Makariou EV, Parris TM, Schilling KJ, Tucker FL, Dogan BE. A Pivotal Study of Optoacoustic Imaging to Diagnose Benign and Malignant Breast Masses: A New Evaluation Tool for Radiologists. Radiology 2017, 287: 172228. PMID: 29178816, DOI: 10.1148/radiol.2017172228.Peer-Reviewed Original ResearchConceptsProbability of malignancyNegative likelihood ratioGrayscale ultrasonographyIndependent readersMalignant breast massesBreast massesBlinded independent readersMalignant massesBI-RADS 3Negative predictive valueData System (BI-RADS) categoryBreast Imaging ReportingBI-RADS categoryLikelihood ratioOA featuresHistologic findingsBI-RADS categoriesNegative examinationsPretest probabilityProtocol deviationsHistologic resultsOnline supplemental materialUltrasonographyDiagnostic utilityPredictive value
2013
Response.
Hooley RJ, Greenberg K, Stackhouse RM, Geisel J, Butler R, Philpotts LE. Response. Radiology 2013, 266: 998-9. PMID: 23550287.Peer-Reviewed Original Research
2012
Screening US in Patients with Mammographically Dense Breasts: Initial Experience with Connecticut Public Act 09-41
Hooley RJ, Greenberg KL, Stackhouse RM, Geisel JL, Butler RS, Philpotts LE. Screening US in Patients with Mammographically Dense Breasts: Initial Experience with Connecticut Public Act 09-41. Radiology 2012, 265: 59-69. PMID: 22723501, DOI: 10.1148/radiol.12120621.Peer-Reviewed Original ResearchConceptsPositive predictive valueOverall positive predictive valueBI-RADS category 4BI-RADS category 3Breast ultrasonographyDense breastsBreast cancerOverall cancer detection rateHIPAA-compliant retrospective reviewData System (BI-RADS) category 1Occult breast cancerCancer detection rateWhole-breast ultrasonographyCategory 4Category 3Dense breast tissueBreast Imaging ReportingPostmenopausal patientsIntermediate riskRetrospective reviewRisk groupsUS examinationHigh riskGeneral populationLower risk