2020
An integrated disease-specific graded prognostic assessment scale for melanoma: contributions of KPS, CITV, number of metastases, and BRAF mutation status
Ahluwalia M, Ali MA, Joshi RS, Park ES, Taha B, McCutcheon I, Chiang V, Hong A, Sinclair G, Bartek J, Chen CC. An integrated disease-specific graded prognostic assessment scale for melanoma: contributions of KPS, CITV, number of metastases, and BRAF mutation status. Neuro-Oncology Advances 2020, 3: vdaa152. PMID: 33506199, PMCID: PMC7810198, DOI: 10.1093/noajnl/vdaa152.Peer-Reviewed Original ResearchCumulative intracranial tumor volumeNumber of metastasesBRAF mutation statusMelanoma brain metastasesBrain metastasesStereotactic radiosurgeryMutation statusPrognostic scalesMelanoma patientsSurvival prognosticationIndependent cohortMultivariate Cox proportional hazards modelCox proportional hazards modelIntracranial tumor volumePrognostic assessment scaleMulti-institutional collaborationNet reclassification indexProportional hazards modelBM patientsMainstay therapyPatient characteristicsTumor characteristicsPrognostic importancePrognostic utilityReclassification index
2017
Improving the Prognostic Value of Disease-Specific Graded Prognostic Assessment Model for Renal Cell Carcinoma by Incorporation of Cumulative Intracranial Tumor Volume
Ali MA, Hirshman BR, Wilson B, Schupper AJ, Joshi R, Proudfoot JA, Goetsch SJ, Alksne JF, Ott K, Aiyama H, Nagano O, Carter BS, Chiang V, Serizawa T, Yamamoto M, Chen CC. Improving the Prognostic Value of Disease-Specific Graded Prognostic Assessment Model for Renal Cell Carcinoma by Incorporation of Cumulative Intracranial Tumor Volume. World Neurosurgery 2017, 108: 151-156. PMID: 28754641, PMCID: PMC5705321, DOI: 10.1016/j.wneu.2017.07.109.Peer-Reviewed Original ResearchConceptsCumulative intracranial tumor volumeNumber of BMKarnofsky performance scoreNet reclassification indexIntracranial tumor volumePrognostic assessment modelBrain metastasesPrognostic valueStereotactic radiosurgeryLogistic regression modelsTumor volumeMultivariable Cox proportional hazards modelsRenal cell carcinoma patientsUnivariable logistic regression modelsMultivariable logistic regression modelCox proportional hazards modelNew brain metastasesRCC brain metastasesCell carcinoma patientsImportant prognostic variablesRenal cell carcinomaProportional hazards modelRCC patient survivalBM patientsDS-GPA
2009
Diagnosis-Specific Prognostic Factors, Indexes, and Treatment Outcomes for Patients With Newly Diagnosed Brain Metastases: A Multi-Institutional Analysis of 4,259 Patients
Sperduto PW, Chao ST, Sneed PK, Luo X, Suh J, Roberge D, Bhatt A, Jensen AW, Brown PD, Shih H, Kirkpatrick J, Schwer A, Gaspar LE, Fiveash JB, Chiang V, Knisely J, Sperduto CM, Mehta M. Diagnosis-Specific Prognostic Factors, Indexes, and Treatment Outcomes for Patients With Newly Diagnosed Brain Metastases: A Multi-Institutional Analysis of 4,259 Patients. International Journal Of Radiation Oncology • Biology • Physics 2009, 77: 655-661. PMID: 19942357, DOI: 10.1016/j.ijrobp.2009.08.025.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAnalysis of VarianceBrain NeoplasmsCarcinoma, Non-Small-Cell LungCarcinoma, Renal CellCombined Modality TherapyGastrointestinal NeoplasmsHumansKarnofsky Performance StatusKidney NeoplasmsLung NeoplasmsMelanomaMiddle AgedPrognosisRetrospective StudiesSelection BiasSkin NeoplasmsSmall Cell Lung CarcinomaTreatment OutcomeConceptsSignificant prognostic factorsKarnofsky performance statusDiagnosis-specific prognostic factorsNumber of BMSmall cell lung cancerBrain metastasesPrognostic factorsCell lung cancerLung cancerPerformance statusBM patientsRandomized trialsGastrointestinal cancerOnly significant prognostic factorRecurrent brain metastasesFuture randomized trialsRenal cell cancerDS-GPA scoreRenal cell carcinomaExtracranial metastasesMedian survivalCell cancerHistologic typePrognostic indexCell carcinoma