2011
P3-07-26: How Generalizable Is the Patient Population Enrolled in ACOSOG Z11?
Lannin D, Killelea B, Grube B, Horowitz N, Chagpar A. P3-07-26: How Generalizable Is the Patient Population Enrolled in ACOSOG Z11? Cancer Research 2011, 71: p3-07-26-p3-07-26. DOI: 10.1158/0008-5472.sabcs11-p3-07-26.Peer-Reviewed Original ResearchPositive sentinel nodesSentinel node biopsySentinel nodesPositive nodesAxillary dissectionNode biopsyLower axillary recurrence ratePositive sentinel lymph nodesAxillary recurrence rateNode-positive patientsNeo-adjuvant chemotherapyPercentage of patientsNegative sentinel nodesBreast cancer patientsSentinel lymph nodesEligibility requirementsLumpectomy patientsZ11 trialT4 tumorsPositive patientsLymph nodesRecurrence ratePatient populationCancer patientsInstitutional databaseFactors affecting lymphovascular invasion in node-positive breast cancer patients.
Cornwell L, McMasters K, Chagpar A. Factors affecting lymphovascular invasion in node-positive breast cancer patients. Journal Of Clinical Oncology 2011, 29: 24-24. DOI: 10.1200/jco.2011.29.27_suppl.24.Peer-Reviewed Original ResearchBreast cancer patientsLVI positivityCancer patientsExtracapsular extensionLarge tumorsNode-positive breast cancer patientsPositive lymph nodesProportion of patientsCohort of patientsPoor prognostic factorProspective multicenter studySynoptic pathology reportsBreast cancer tumorsBreast practicePositive nodesLarge metastasesLymphovascular invasionPatient agePrognostic factorsSurgery typeClinicopathologic factorsLymph nodesMulticenter studyVascular invasionPathology reports
2009
Use Pre- and Intra-Operative Data To Predict Probability of Positive Non-Sentinel Lymph Nodes.
Chagpar A, Blumencranz P, Whitworth P, Deck K, Rosenberg A, Simmons R, Reintgen D, Beitsch P, Julian T, Saha S, Mamounas E, Giuliano A, Cook E, Wang S. Use Pre- and Intra-Operative Data To Predict Probability of Positive Non-Sentinel Lymph Nodes. Cancer Research 2009, 69: 302-302. DOI: 10.1158/0008-5472.sabcs-09-302.Peer-Reviewed Original ResearchAxillary node dissectionNon-SLN metastasisTumor sizeIntra-operative dataBLN AssayPositive SLNMedian numberLogistic regression modelsPositive non-sentinel lymph nodesSentinel lymph node-positive patientsCompletion axillary node dissectionFrozen sectionsLymph node-positive patientsNon-sentinel lymph nodesStepwise logistic regression modelFurther positive nodesNon-SLN statusMedian tumor sizeNode-positive patientsPositive rateTumor size dataSignificant predictorsCohort of interestNode dissectionPositive nodesPrediction of Thromboembolic Events in Women with Hormone Receptor-Positive Breast Cancer Receiving SERMS
Lewis J, Chagpar A, McMasters K, Edwards M. Prediction of Thromboembolic Events in Women with Hormone Receptor-Positive Breast Cancer Receiving SERMS. Journal Of Surgical Research 2009 DOI: 10.1016/j.jss.2009.03.089.Peer-Reviewed Original ResearchSelective estrogen receptor modulatorsHormone receptor-positive breast cancerReceptor-positive breast cancerDeep venous thrombosisThromboembolic eventsPulmonary emboliBreast cancerTamoxifen Adjuvant trialTransient ischemic attackOnly independent factorAcute myocardial infarctionEstrogen receptor modulatorsAdjuvant trialsIschemic attackPositive nodesThromboembolic riskLymphovascular invasionCerebrovascular accidentClinicopathologic factorsVenous thrombosisTreatment armsMyocardial infarctionUnivariate analysisReceptor modulatorsResults Ninety