2022
NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET
Jekel L, Bousabarah K, Lin M, Merkaj S, Kaur M, Avesta A, Aneja S, Omuro A, Chiang V, Scheffler B, Aboian M. NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET. Neuro-Oncology 2022, 24: vii162-vii162. PMCID: PMC9661012, DOI: 10.1093/neuonc/noac209.622.Peer-Reviewed Original Research
2020
Quantification of contrast-uptake as imaging biomarker for disease progression of renal cell carcinoma after tumor ablation
Tegel BR, Huber S, Savic LJ, Lin M, Gebauer B, Pollak J, Chapiro J. Quantification of contrast-uptake as imaging biomarker for disease progression of renal cell carcinoma after tumor ablation. Acta Radiologica 2020, 61: 1708-1716. PMID: 32216452, PMCID: PMC7529766, DOI: 10.1177/0284185120909964.Peer-Reviewed Original ResearchMeSH KeywordsAblation TechniquesAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellContrast MediaDisease ProgressionFemaleHumansImaging, Three-DimensionalKidney NeoplasmsMaleMiddle AgedNeoplasm StagingRadiography, InterventionalRetrospective StudiesSensitivity and SpecificityTumor BurdenUltrasonography, InterventionalConceptsProgression-free survivalTotal tumor volumeRenal cell carcinomaCell carcinomaOdds ratioTumor volumeImaging biomarkersImage-guided thermal ablationPrognosis of patientsRENAL nephrometry scoreCox regression modelLargest tumor diameterLog-rank testKaplan-Meier plotsCross-sectional imagingSensitive imaging biomarkerMetastatic diseaseSecondary outcomesPrimary outcomeDistant metastasisNephrometry scoreTumor diameterOutcome parametersLesion vascularityTNM stage