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