Sequelae of Eating Disorders at Imaging
Solomon N, Sailer A, Dixe de Oliveira Santo I, Pillai A, Heng LXX, Jha P, Katz DS, Zulfiqar M, Sugi M, Revzin MV. Sequelae of Eating Disorders at Imaging. RadioGraphics 2022, 42: 1377-1397. PMID: 35930473, DOI: 10.1148/rg.220018.Peer-Reviewed Educational MaterialsConceptsMedical historyPatient's medical historyHigh mortality rateOverview of managementClinical presentationMedical complicationsRelated complicationsImaging findingsPhysical examinationUncommon sequelaMedical attentionOnline supplemental materialPsychiatric disordersMedical treatmentMortality rateOrgan systemsSequelaeDisordersDiagnosisComplicationsPatientsPathophysiologySocial stigmaLaboratory resultsRadiologistsClinical Implementation of a Combined Artificial Intelligence and Natural Language Processing Quality Assurance Program for Pulmonary Nodule Detection in the Emergency Department Setting
Cavallo J, de Oliveira Santo I, Mezrich J, Forman H. Clinical Implementation of a Combined Artificial Intelligence and Natural Language Processing Quality Assurance Program for Pulmonary Nodule Detection in the Emergency Department Setting. Journal Of The American College Of Radiology 2023, 20: 438-445. PMID: 36736547, DOI: 10.1016/j.jacr.2022.12.016.Peer-Reviewed Original ResearchConceptsEmergency department settingPulmonary nodulesCT examinationsDepartment settingSecondary reviewNumber of patientsQuality assurance studyMedian timeEmergent settingPatient followImaging recommendationsAppropriate followMajority of reviewsRadiological reportsAssurance studyClinical implementationLung anatomyQuality assurance programPatientsSignificant delayNodulesFollowExaminationPulmonary nodule detectionNodule detectionApplication of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas
Tillmanns N, Lost J, Tabor J, Vasandani S, Vetsa S, Marianayagam N, Yalcin K, Erson-Omay E, von Reppert M, Jekel L, Merkaj S, Ramakrishnan D, Avesta A, de Oliveira Santo I, Jin L, Huttner A, Bousabarah K, Ikuta I, Lin M, Aneja S, Turowski B, Aboian M, Moliterno J. Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas. Scientific Reports 2023, 13: 22942. PMID: 38135704, PMCID: PMC10746716, DOI: 10.1038/s41598-023-48918-4.Peer-Reviewed Original ResearchConceptsInformatics platformDeep learning algorithmsImaging featuresCDKN2A alterationsLearning algorithmHeterozygous lossHomozygous deletionLarge datasetsDeep white matter invasionGBM molecular subtypesNew informaticsQualitative imaging biomarkersWhole-exome sequencingQualitative imaging featuresGBM resectionRadiographic evidenceWorse prognosisPACSMolecular subtypesPial invasionImaging biomarkersCDKN2A mutationsAllele statusNoninvasive identificationMagnetic resonance imagesGrading Abdominal Trauma: Changes in and Implications of the Revised 2018 AAST-OIS for the Spleen, Liver, and Kidney.
Dixe de Oliveira Santo I, Sailer A, Solomon N, Borse R, Cavallo J, Teitelbaum J, Chong S, Roberge E, Revzin M. Grading Abdominal Trauma: Changes in and Implications of the Revised 2018 AAST-OIS for the Spleen, Liver, and Kidney. RadioGraphics 2023, 43: e230040. PMID: 37590162, DOI: 10.1148/rg.230040.Peer-Reviewed Original ResearchConceptsBlunt abdominal traumaOrgan Injury ScaleAAST-OISOrgan injuryVascular injuryTrauma Organ Injury ScaleLow-grade injuriesMultidetector CT findingsSolid organ injuryHospital mortalityAbdominal traumaCT findingsOrgan damageTrauma centerArteriovenous fistulaTreatment successPatient managementInjury ScaleEarly diagnosisMultidetector CTInjury severityInjuryDisease controlClinical researchInjury detectionKnowledge and Myths about Palliative Care among the General Public and Health Care Professionals in Portugal
dos Anjos Dixe M, de Oliveira Santo I, Lopes S, Catarino H, Duarte S, Querido A, Laranjeira C. Knowledge and Myths about Palliative Care among the General Public and Health Care Professionals in Portugal. International Journal Of Environmental Research And Public Health 2020, 17: 4630. PMID: 32605086, PMCID: PMC7369792, DOI: 10.3390/ijerph17134630.Peer-Reviewed Original ResearchConceptsNonhealthcare professionalsPalliative careHealthcare professionalsPalliative care goalsHealth care professionalsCross-sectional online surveyProgressive diseaseMean ageCare goalsCare professionalsLevel of knowledgePortuguese adultsCareAnonymous questionnaireSignificant differencesDichotomous questionsLife promotionHigh percentageAgeProfessionalsProfessional dataHigh levelsOnline surveyDiseaseDifferent settingsLi-Fraumeni Syndrome: Imaging Features and Guidelines.
Gosangi B, Dixe de Oliveira Santo I, Keraliya A, Wang Y, Irugu D, Thomas R, Khandelwal A, Rubinowitz A, Bader A. Li-Fraumeni Syndrome: Imaging Features and Guidelines. RadioGraphics 2024, 44: e230202. PMID: 39024172, DOI: 10.1148/rg.230202.Peer-Reviewed Original ResearchConceptsLi-Fraumeni syndromeLifetime risk of cancerRare autosomal dominant familial cancer syndromeIncreased riskRisk of cancerTreated with total mastectomyAutosomal dominant familial cancer syndromeImaging features of tumorsFamilial cancer syndromeWhole-body MRIAnnual screeningFeatures of tumorsCancer syndromesLifetime riskP53 transcription factorLi-FraumeniAdrenocortical cancerTotal mastectomyPrimary cancerBreast malignancyImaging guidelinesBreast cancerGermline mutationsColon cancerManagement guidelines