Application 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 imagesDevelopment and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning
Hossain S, Hossain S, Avesta A, Nene A, Maresca R, Aneja S. Development and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning. International Journal Of Radiation Oncology • Biology • Physics 2023, 117: e393. DOI: 10.1016/j.ijrobp.2023.06.1517.Peer-Reviewed Original ResearchBiochemical-free survivalSeminal vesicle invasionHigh-risk phenotypeExtraprostatic extensionProstate cancerHigh riskRadical prostatectomyProstate MRILower riskImaging biomarkersNon-invasive imaging biomarkersPost-treatment PSAUnderwent radical prostatectomyIntermediate-risk patientsDiscriminatory abilityLog-rank testAggressive prostate cancerProstate cancer patientsProstate cancer phenotypePersonalization of treatmentMATERIAL/METHODSGood discriminatory abilityMedian followTreatment escalationFree survivalP13.02.A APPLICATION 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 Z, 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. P13.02.A APPLICATION OF NOVEL PACS-BASED INFORMATICS PLATFORM TO IDENTIFY IMAGING BASED PREDICTORS OF CDKN2A ALLELIC STATUS IN GLIOBLASTOMAS. Neuro-Oncology 2023, 25: ii100-ii101. PMCID: PMC10489329, DOI: 10.1093/neuonc/noad137.336.Peer-Reviewed Original ResearchImaging featuresPial invasionQualitative imaging biomarkersQualitative imaging featuresWorse prognosisImaging biomarkersCDKN2A mutationsMethods Sixty-nine patientsCDKN2A alterationsHomozygous deletionHeterozygous lossSixty-nine patientsDeep white matterDeep white matter invasionGBM molecular subtypesWhole-exome sequencingNine patientsGBM resectionRadiographic evidenceMolecular subtypesBACKGROUND GliomasWhite matterAllele statusNoninvasive identificationGliomas