2020
Estrogen and Progesterone Receptor Testing in Breast Cancer: American Society of Clinical Oncology/College of American Pathologists Guideline Update
Allison KH, Hammond MEH, Dowsett M, McKernin SE, Carey LA, Fitzgibbons PL, Hayes DF, Lakhani SR, Chavez-MacGregor M, Perlmutter J, Perou CM, Regan MM, Rimm DL, Symmans WF, Torlakovic EE, Varella L, Viale G, Weisberg TF, McShane LM, Wolff AC. Estrogen and Progesterone Receptor Testing in Breast Cancer: American Society of Clinical Oncology/College of American Pathologists Guideline Update. Archives Of Pathology & Laboratory Medicine 2020, 144: 545-563. PMID: 31928354, DOI: 10.5858/arpa.2019-0904-sa.Peer-Reviewed Original ResearchConceptsClinical Oncology/CollegeProgesterone receptor testingEstrogen receptorBreast cancerEndocrine therapyReceptor testingExpert panelAmerican Pathologists (CAP) guideline updatesClinical practice guideline recommendationsMultidisciplinary international expert panelEndocrine therapy benefitPractice guideline recommendationsBreast cancer guidelinesER-positive cancersInvasive breast cancerFuture breast cancerAmerican SocietyBreast cancer samplesInternational expert panelReporting of casesPgR testingTumor cell nucleiCancer guidelinesGuideline recommendationsGuideline update
2019
Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
Bera K, Schalper KA, Rimm DL, Velcheti V, Madabhushi A. Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology. Nature Reviews Clinical Oncology 2019, 16: 703-715. PMID: 31399699, PMCID: PMC6880861, DOI: 10.1038/s41571-019-0252-y.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceHumansMedical OncologyNeoplasmsPathology, ClinicalPrecision MedicineConceptsArtificial intelligenceMachine learning toolsDigital pathologyUse of AIDeep neural networksLearning toolsStained tissue specimensWhole slide imagesFeature-based methodologyNeural networkIntelligencePotential future opportunitiesMorphometric phenotypesNetworkValidation datasetComputational approachToolMiningEnormous divergenceDatasetImagesPrecision oncologyFrameworkComplex processFuture opportunities
2018
Macrodissection prior to closed system RT-qPCR is not necessary for estrogen receptor and HER2 concordance with IHC/FISH in breast cancer
Gupta S, Mani NR, Carvajal-Hausdorf DE, Bossuyt V, Ho K, Weidler J, Wong W, Rhees B, Bates M, Rimm DL. Macrodissection prior to closed system RT-qPCR is not necessary for estrogen receptor and HER2 concordance with IHC/FISH in breast cancer. Laboratory Investigation 2018, 98: 1076-1083. PMID: 29858579, PMCID: PMC6119113, DOI: 10.1038/s41374-018-0064-1.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryIn Situ Hybridization, FluorescenceParaffin EmbeddingPathology, ClinicalReal-Time Polymerase Chain ReactionReceptor, ErbB-2Receptors, EstrogenReproducibility of ResultsSensitivity and SpecificityTissue FixationConceptsIHC/FISHDCIS cohortRT-qPCRMRNA transcript levelsDuctal carcinoma casesFine needle aspiratesMRNA expression levelsHER2 concordanceER positivityDuctal carcinomaHER2 expressionGeneXpert systemCarcinoma casesInvasive tumorsNeedle biopsyBreast cancerEstrogen receptorClinical ImmunohistochemistryBiopsy areaTumor tissueMRNA expressionTumor areaCohortMRNA levelsMRNA markers
2016
Standardized evaluation of tumor-infiltrating lymphocytes in breast cancer: results of the ring studies of the international immuno-oncology biomarker working group
Denkert C, Wienert S, Poterie A, Loibl S, Budczies J, Badve S, Bago-Horvath Z, Bane A, Bedri S, Brock J, Chmielik E, Christgen M, Colpaert C, Demaria S, Van den Eynden G, Floris G, Fox SB, Gao D, Ingold Heppner B, Kim SR, Kos Z, Kreipe HH, Lakhani SR, Penault-Llorca F, Pruneri G, Radosevic-Robin N, Rimm DL, Schnitt SJ, Sinn BV, Sinn P, Sirtaine N, O'Toole SA, Viale G, Van de Vijver K, de Wind R, von Minckwitz G, Klauschen F, Untch M, Fasching PA, Reimer T, Willard-Gallo K, Michiels S, Loi S, Salgado R. Standardized evaluation of tumor-infiltrating lymphocytes in breast cancer: results of the ring studies of the international immuno-oncology biomarker working group. Modern Pathology 2016, 29: 1155-1164. PMID: 27363491, DOI: 10.1038/modpathol.2016.109.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsFemaleHumansImage Interpretation, Computer-AssistedLymphocytes, Tumor-InfiltratingPathology, ClinicalConceptsTumor-infiltrating lymphocytesEvaluation of TILsIntraclass correlation coefficientBreast cancerInternational Immuno-Oncology Biomarker Working GroupImmune checkpoint inhibitor therapyBiomarker Working GroupImmuno-oncology biomarkersDiagnostic practiceKappa valuesInhibitor therapyInternational Working GroupImmunological parametersClinical trialsClinical studiesFleiss kappa valuePrespecified endpointsStudy aimWorking GroupMean concordanceStandardized reportingCancerRing studiesStandardized evaluationDifferent pathologists
2015
Expertise vs Evidence in Assessment of Breast Biopsies: An Atypical Science
Davidson NE, Rimm DL. Expertise vs Evidence in Assessment of Breast Biopsies: An Atypical Science. JAMA 2015, 313: 1109-1110. PMID: 25781438, DOI: 10.1001/jama.2015.1945.Peer-Reviewed Original Research
2013
A Prospective, Multi-Institutional Diagnostic Trial to Determine Pathologist Accuracy in Estimation of Percentage of Malignant Cells
Viray H, Li K, Long TA, Vasalos P, Bridge JA, Jennings LJ, Halling KC, Hameed M, Rimm DL. A Prospective, Multi-Institutional Diagnostic Trial to Determine Pathologist Accuracy in Estimation of Percentage of Malignant Cells. Archives Of Pathology & Laboratory Medicine 2013, 137: 1545-9. PMID: 24168492, DOI: 10.5858/arpa.2012-0561-cp.Peer-Reviewed Original ResearchConceptsFalse-negative test resultsMalignant cellsMulti-institutional studyColon tissue specimensCriterion standardPatient careTissue specimensTumor tissueDiagnostic trialPathologists' accuracyGenetic alterationsNuclear countsPathologist estimationEstimation of percentageVisual estimationCurrent studyCellsTesting failures
2001
Impact of Microarray Technologies on Cytopathology
Rimm DL. Impact of Microarray Technologies on Cytopathology. Acta Cytologica 2001, 45: 111-114. PMID: 11284295, DOI: 10.1159/000327267.Peer-Reviewed Original Research