Featured Publications
Comparison of radiomic feature aggregation methods for patients with multiple tumors
Chang E, Joel MZ, Chang HY, Du J, Khanna O, Omuro A, Chiang V, Aneja S. Comparison of radiomic feature aggregation methods for patients with multiple tumors. Scientific Reports 2021, 11: 9758. PMID: 33963236, PMCID: PMC8105371, DOI: 10.1038/s41598-021-89114-6.Peer-Reviewed Original ResearchConceptsCox proportional hazards modelCox proportional hazardsProportional hazards modelBrain metastasesRadiomic featuresHazards modelProportional hazardsStandard Cox proportional hazards modelMultifocal brain metastasesMultiple brain metastasesNumber of patientsPatient-level outcomesHigher concordance indexRadiomic feature analysisRandom survival forest modelSurvival modelsDifferent tumor volumesMultifocal tumorsCancer outcomesMultiple tumorsMetastatic cancerConcordance indexTumor volumePatientsTumor typesUsing Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology
Joel MZ, Umrao S, Chang E, Choi R, Yang DX, Duncan JS, Omuro A, Herbst R, Krumholz HM, Aneja S. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. JCO Clinical Cancer Informatics 2022, 6: e2100170. PMID: 35271304, PMCID: PMC8932490, DOI: 10.1200/cci.21.00170.Peer-Reviewed Original ResearchMeSH KeywordsBreastDeep LearningHumansMagnetic Resonance ImagingMammographyTomography, X-Ray Computed3D Capsule Networks for Brain Image Segmentation
Avesta A, Hui Y, Aboian M, Duncan J, Krumholz H, Aneja S. 3D Capsule Networks for Brain Image Segmentation. American Journal Of Neuroradiology 2023, 44: 562-568. PMID: 37080721, PMCID: PMC10171390, DOI: 10.3174/ajnr.a7845.Peer-Reviewed Original ResearchMeSH KeywordsBrainHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeuroimagingThird Ventricle
2024
A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information
Ramakrishnan D, Jekel L, Chadha S, Janas A, Moy H, Maleki N, Sala M, Kaur M, Petersen G, Merkaj S, von Reppert M, Baid U, Bakas S, Kirsch C, Davis M, Bousabarah K, Holler W, Lin M, Westerhoff M, Aneja S, Memon F, Aboian M. A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information. Scientific Data 2024, 11: 254. PMID: 38424079, PMCID: PMC10904366, DOI: 10.1038/s41597-024-03021-9.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceBrain NeoplasmsCranial IrradiationHumansMagnetic Resonance ImagingRadiosurgeryConceptsWhole-brain radiotherapyStereotactic radiosurgeryT1 post-contrastBrain metastasesPost-contrastSide effectsImage informationArtificial intelligenceAssociated with cognitive side effectsContrast-enhancing lesionsQuality of datasetsCognitive side effectsFLAIR MR imagesValidation of AI modelsBrain radiotherapyLimitations of algorithmsStandard treatmentAI modelsMR imagingAI networksContrast enhancementClinical settingSegmentation workflowDatasetClinical adoption
2023
Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction
Lost J, Verma T, Jekel L, von Reppert M, Tillmanns N, Merkaj S, Petersen G, Bahar R, Gordem A, Haider M, Subramanian H, Brim W, Ikuta I, Omuro A, Conte G, Marquez-Nostra B, Avesta A, Bousabarah K, Nabavizadeh A, Kazerooni A, Aneja S, Bakas S, Lin M, Sabel M, Aboian M. Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction. American Journal Of Neuroradiology 2023, 44: 1126-1134. PMID: 37770204, PMCID: PMC10549943, DOI: 10.3174/ajnr.a8000.Peer-Reviewed Original Research
2019
Imaging biomarkers for brain metastases: more than meets the eye
Aneja S, Omuro A. Imaging biomarkers for brain metastases: more than meets the eye. Neuro-Oncology 2019, 21: 1493-1494. PMID: 31777936, PMCID: PMC6917408, DOI: 10.1093/neuonc/noz193.Peer-Reviewed Original Research
2018
MRI-Ultrasound Fusion Targeted Biopsy of Prostate Imaging Reporting and Data System Version 2 Category 5 Lesions Found False-Positive at Multiparametric Prostate MRI.
Sheridan AD, Nath SK, Aneja S, Syed JS, Pahade J, Mathur M, Sprenkle P, Weinreb JC, Spektor M. MRI-Ultrasound Fusion Targeted Biopsy of Prostate Imaging Reporting and Data System Version 2 Category 5 Lesions Found False-Positive at Multiparametric Prostate MRI. American Journal Of Roentgenology 2018, 210: w218-w225. PMID: 29489409, DOI: 10.2214/ajr.17.18680.Peer-Reviewed Original ResearchConceptsPI-RADS 5 lesionsBenign pathologic resultsLower prostate-specific antigen densitySignificant prostate cancerProstate-specific antigen densityBenign prostatic hyperplasia nodulesMRI-ultrasound fusionProstate Imaging ReportingCategory 5 lesionsPathologic resultsProstate cancerClinical featuresBenign diseaseAntigen densityImaging ReportingGleason 6 diseasePI-RADS version 2High-risk lesionsMultivariate logistic regressionRoutine clinical interpretationMultiparametric prostate MRIInflammatory changesNormal anatomic structuresBiopsy resultsTargeted biopsies
2017
Risk of Clinically Significant Prostate Cancer Associated With Prostate Imaging Reporting and Data System Category 3 (Equivocal) Lesions Identified on Multiparametric Prostate MRI.
Sheridan AD, Nath SK, Syed JS, Aneja S, Sprenkle PC, Weinreb JC, Spektor M. Risk of Clinically Significant Prostate Cancer Associated With Prostate Imaging Reporting and Data System Category 3 (Equivocal) Lesions Identified on Multiparametric Prostate MRI. American Journal Of Roentgenology 2017, 210: 347-357. PMID: 29112469, DOI: 10.2214/ajr.17.18516.Peer-Reviewed Original ResearchConceptsCategory 3 lesionsData System (BI-RADS) category 3 lesionsPI-RADS category 3 lesionsMultiparametric prostate MRIRisk factorsProstate Imaging ReportingProstate MRIAbnormal digital rectal examination findingsPredictive valueImaging ReportingDigital rectal examination findingsClinically Significant Prostate CancerMultivariate logistic regression modelPI-RADS category 3Smaller prostate volumePI-RADS version 2Older patient ageRectal examination findingsMore risk factorsRisk stratification algorithmMRI-ultrasound fusionSignificant prostate cancerNegative predictive valuePositive predictive valueLogistic regression models