2020
Practice patterns and recommendations for pediatric image‐guided radiotherapy: A Children's Oncology Group report
Hua C, Vern‐Gross T, Hess CB, Olch AJ, Alaei P, Sathiaseelan V, Deng J, Ulin K, Laurie F, Gopalakrishnan M, Esiashvili N, Wolden SL, Krasin MJ, Merchant TE, Donaldson SS, FitzGerald TJ, Constine LS, Hodgson DC, Haas‐Kogan D, Mahajan A, Laack NN, Marcus KJ, Taylor PA, Ahern VA, Followill DS, Buchsbaum JC, Breneman JC, Kalapurakal JA. Practice patterns and recommendations for pediatric image‐guided radiotherapy: A Children's Oncology Group report. Pediatric Blood & Cancer 2020, 67: e28629. PMID: 32776500, PMCID: PMC7774502, DOI: 10.1002/pbc.28629.Peer-Reviewed Original ResearchMeSH KeywordsChildHumansNeoplasmsPractice Guidelines as TopicPractice Patterns, Physicians'Radiation OncologyRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRadiotherapy, Image-GuidedConceptsChildren's Oncology GroupImage-guided radiotherapyOncology GroupPractice patternsOncology disciplinesChildren's Oncology Group reportPaediatric radiotherapy patientsTreatment modalitiesExpert guidelinesDose reductionRadiotherapy patientsPractice recommendationsSetup correctionAdaptive therapyRadiotherapyImage guidanceReportMember surveyGroup ReportPatientsTherapyClinicians
2019
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data
Nartowt BJ, Hart GR, Roffman DA, Llor X, Ali I, Muhammad W, Liang Y, Deng J. Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data. PLOS ONE 2019, 14: e0221421. PMID: 31437221, PMCID: PMC6705772, DOI: 10.1371/journal.pone.0221421.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveyUnited States Preventative Services Task ForceColorectal cancerPredictive valueDiagnosis of CRCColorectal cancer riskHealth Interview SurveyHigh-risk categoryNegative predictive valuePositive predictive valueMultivariable prediction modelHealth dataUSPSTF guidelinesRisk score methodCRC riskFamily historyCancer riskHigh riskAge 50Individual prognosisLower riskPersonal health dataClinical applicabilityInterview SurveyCancer