2022
Further Characterization of Clinicopathologic Features of Cystic Neutrophilic Granulomatous Mastitis
Liang Y, Zhan H, Krishnamurti U, Harigopal M, Sun T. Further Characterization of Clinicopathologic Features of Cystic Neutrophilic Granulomatous Mastitis. American Journal Of Clinical Pathology 2022, 158: 488-493. PMID: 35899981, DOI: 10.1093/ajcp/aqac074.Peer-Reviewed Original ResearchConceptsCystic neutrophilic granulomatous mastitisGranulomatous mastitisClinicopathologic characteristicsClinicopathologic featuresHigher Breast Imaging ReportingUnique infectious diseaseHospital-based cohortDistinct clinicopathologic featuresMass-like lesionCase-control studyData System scoreBreast Imaging ReportingPainful lesionsRadiologic studiesClinicopathologic profileSystem scoreImaging ReportingDemographic featuresInfectious diseasesPatientsLesionsDiseaseMastitisFurther characterizationSmokers
2020
Do High Rates of Atypical Glandular Cells Correlate With Higher Incidence of Disease in a Large Safety Net Hospital.
Kuhn T, Finneran C, Kohut A, Wang E, Birdsong G, Krishnamurti U, Mosunjac M, Tadros T, Oprea G, Avadhani V, Boguslawski S, Karlow S, Schnatz P, Khanna N, Flowers L. Do High Rates of Atypical Glandular Cells Correlate With Higher Incidence of Disease in a Large Safety Net Hospital. Journal Of Lower Genital Tract Disease 2020, 24: 353-357. PMID: 32569024, DOI: 10.1097/lgt.0000000000000556.Peer-Reviewed Original ResearchConceptsAGC Pap testsAbnormal uterine bleedingPap testUterine bleedingHPV positivityHuman papillomavirusLarge safety net hospitalBody mass indexHigh-risk lesionsLow-risk lesionsSafety-net hospitalLow socioeconomic statusBaseline characteristicsEndometrial biopsyMass indexSingle institutionMedical recordsNet hospitalHigh incidencePatientsLesionsSignificant associationHR lesionsBleedingLogistic regression
2019
A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk
Klimov S, Miligy I, Gertych A, Jiang Y, Toss M, Rida P, Ellis I, Green A, Krishnamurti U, Rakha E, Aneja R. A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk. Breast Cancer Research 2019, 21: 83. PMID: 31358020, PMCID: PMC6664779, DOI: 10.1186/s13058-019-1165-5.Peer-Reviewed Original ResearchConceptsDCIS patientsRecurrence riskDuctal carcinomaScreen-detected breast cancerLong-term outcome dataBreast-conserving surgeryUnmet clinical needNottingham University HospitalsPositive predictive valueAdjuvant radiationIpsilateral recurrenceAdditional therapyMethodsThe cohortHazard ratioLocal recurrenceClinicopathological markersClinicopathological variablesPrimary tumorUniversity HospitalLymphocyte regionBreast cancerOutcome dataBenign ductsPredictive valuePatients
2017
Pathobiology of human papillomaviruses in human immunodeficiency virus – Infected persons
Krishnamurti U, Unger E. Pathobiology of human papillomaviruses in human immunodeficiency virus – Infected persons. Seminars In Diagnostic Pathology 2017, 34: 364-370. PMID: 28549522, DOI: 10.1053/j.semdp.2017.04.005.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusAcquired Immunodeficiency SyndromeHuman papillomavirusHuman immunodeficiency virus-infected personsCareful epidemiologic studiesMultiple HPV typesVirus-infected personsNegative patientsHPV typesImmunodeficiency syndromeCervical cancerImmunodeficiency virusPrimary preventionViral etiologyHIV epidemicEpidemiologic studiesSurveillance indicatorsLaboratory measuresPapillomavirusDiseasePathobiologyVirus groupDefinitive identificationPatientsHigh frequency
2014
The Clinicopathologic Significance of Centromere 17 Copy Number Alterations in Invasive Breast Carcinoma
Krishnamurti U, Silverman J. The Clinicopathologic Significance of Centromere 17 Copy Number Alterations in Invasive Breast Carcinoma. Advances In Anatomic Pathology 2014, 19: 13-17. DOI: 10.1097/pcr.0000000000000016.Peer-Reviewed Original ResearchAdverse prognostic factorHER2 amplificationBreast cancerPrognostic factorsHuman epidermal growth factor receptor 2 (HER2) oncoproteinCopy number alterationsInvasive breast cancerInvasive breast carcinomaHER2/CEP17HER2 gene amplificationNumber alterationsHER2 copy numberChromosome 17 polysomyCEP17 duplicationMost patientsHER2 overexpressionBreast carcinomaClinicopathologic significanceHER2 2Chromosome 17PatientsCancerProtein overexpressionCopy numberHER2
2006
The “Big Dog” Effect: Variability Assessing the Causes of Error in Diagnoses of Patients With Lung Cancer
Raab S, Meier F, Zarbo R, Jensen D, Geisinger K, Booth C, Krishnamurti U, Stone C, Janosky J, Grzybicki D. The “Big Dog” Effect: Variability Assessing the Causes of Error in Diagnoses of Patients With Lung Cancer. Journal Of Clinical Oncology 2006, 24: 2808-2814. PMID: 16782918, DOI: 10.1200/jco.2005.04.3661.Peer-Reviewed Original ResearchConceptsKappa statisticsQuality improvement interventionsDiagnosis of patientsFalse-negative diagnosesInstitutional pathologistsLung massSurgical specimenLung cancerPathology specimenPulmonary specimensReview diagnosisSlide reviewPatientsImprovement interventionsOriginal diagnosisInter-pathologist agreementPsychosocial hypothesesClinical samplingDiagnosisInterobserver agreementCancer diagnosisDiagnostic samplesInitial assessmentSame institutionDiagnostic errors