2025
Dynamic Contrast-enhanced MRI Processing Comparison for Distinguishing True Progression From Pseudoprogression in High-grade Glioma.
Amer A, Ansari S, Krayyem A, Kundu S, Khose S, Pokhylevych H, Calle S, Patel C, Yang Z, Liu H, Johnson J. Dynamic Contrast-enhanced MRI Processing Comparison for Distinguishing True Progression From Pseudoprogression in High-grade Glioma. Journal Of Computer Assisted Tomography 2025 PMID: 39876523, DOI: 10.1097/rct.0000000000001716.Peer-Reviewed Original ResearchHigh-grade gliomasBlood-brain barrierDCE-MRIPeak contrast enhancementQuantify BBB permeabilityTreatment-related changesFollow-up subjectsKtrans mapsTrue progressionTumor progressionClinical dataConventional MRIPseudoprogressionBBB permeabilityCombined pathologyKtransContrast enhancementT1 enhancementStandard processing methodologyStatistically significant resultsClinical data setsPathologyPatientsGliomaSSS technique
2024
Additive Value of Magnetic Resonance Simulation Before Chemoradiation in Evaluating Treatment Response and Pseudoprogression in High-Grade Gliomas
Yadav D, Upadhyay R, Kumar V, Chen M, Johnson J, Langshaw H, Curl B, Farhat M, Talpur W, Beckham T, Yeboa D, Swanson T, Ghia A, Li J, Chung C. Additive Value of Magnetic Resonance Simulation Before Chemoradiation in Evaluating Treatment Response and Pseudoprogression in High-Grade Gliomas. Practical Radiation Oncology 2024, 14: e449-e457. PMID: 38685448, DOI: 10.1016/j.prro.2024.04.009.Peer-Reviewed Original ResearchPseudo-progressionResponse assessmentInterobserver agreementImprove response assessmentPost-operative MRIFollow-up MRIFollow-up imagingEvaluate treatment responseHigh-grade gliomasIndependent blinded reviewIdentification of patientsClinical trial enrollmentWeeks of RTPartial response(PRStable disease(SDRT planningSalvage treatmentTumor responseEarly time pointsMedian intervalImprove patient outcomesTrue progressionProspective studyTreatment responseTumor progression
2022
NEIM-02 DEVELOPMENT OF A DEEP LEARNING MODEL FOR DISCRIMINATING TRUE PROGRESSION FROM PSEUDOPROGRESSION IN GLIOBLASTOMA PATIENTS
Moassefi M, Faghani S, Conte G, Rouzrokh P, Kowalchuk R, Trifiletti D, Erickson B. NEIM-02 DEVELOPMENT OF A DEEP LEARNING MODEL FOR DISCRIMINATING TRUE PROGRESSION FROM PSEUDOPROGRESSION IN GLIOBLASTOMA PATIENTS. Neuro-Oncology Advances 2022, 4: i17-i18. PMCID: PMC9354212, DOI: 10.1093/noajnl/vdac078.069.Peer-Reviewed Original ResearchMagnetic resonance imagingGlioblastoma patientsMedian overall survival rangesTreatment planningOriginal radiation fieldOverall survival rangesStandard treatment regimenConventional magnetic resonance imagingT2-weighted imagesPatient treatment plansDiagnosing PSPAdjuvant temozolomideConcurrent chemoradiotherapySurgical resectionEnhancing lesionsAggressive tumorsMultimodal treatmentTreatment regimenAggressive managementRecurrence locationTrue progressionClinical historyClinical deteriorationMedical historyClinical challenge
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