2024
Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics
Gross M, Huber S, Arora S, Ze’evi T, Haider S, Kucukkaya A, Iseke S, Kuhn T, Gebauer B, Michallek F, Dewey M, Vilgrain V, Sartoris R, Ronot M, Jaffe A, Strazzabosco M, Chapiro J, Onofrey J. Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics. European Radiology 2024, 34: 5056-5065. PMID: 38217704, PMCID: PMC11245591, DOI: 10.1007/s00330-023-10495-5.Peer-Reviewed Original ResearchMagnetic resonance imagingRadiomics feature extractionLiver volumetryIntraclass correlation coefficientRadiomic featuresLiver segmentationAutomated liver volumetryHepatocellular carcinoma patientsMann-Whitney U testAutomated liver segmentationManual segmentationQuantitative imaging biomarkersCarcinoma patientsRetrospective studyInstitutional databaseAnatomical localizationClinical relevanceManual volumetryMann-WhitneyU testExternal validationInternal test setImaging biomarkersInclusion criteriaResultsIn total
2022
MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features
Petukhova-Greenstein A, Zeevi T, Yang J, Chai N, DiDomenico P, Deng Y, Ciarleglio M, Haider SP, Onyiuke I, Malpani R, Lin M, Kucukkaya AS, Gottwald LA, Gebauer B, Revzin M, Onofrey J, Staib L, Gunabushanam G, Taddei T, Chapiro J. MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features. Journal Of Vascular And Interventional Radiology 2022, 33: 814-824.e3. PMID: 35460887, PMCID: PMC9335926, DOI: 10.1016/j.jvir.2022.04.006.Peer-Reviewed Original ResearchConceptsProgression-free survivalPoor progression-free survivalLiver Imaging ReportingHepatocellular carcinomaMR imaging biomarkersRadiomics signatureRadiofrequency ablationRadiomic featuresImaging biomarkersImaging ReportingFirst follow-up imagingMedian progression-free survivalRF ablationEarly-stage hepatocellular carcinomaPretreatment magnetic resonanceFirst-line treatmentMultifocal hepatocellular carcinomaSelection operator Cox regression modelTherapy-naïve patientsEarly-stage diseaseKaplan-Meier analysisCox regression modelLog-rank testFollow-up imagingPrediction of outcome
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 stageLipiodol as an Imaging Biomarker of Tumor Response After Conventional Transarterial Chemoembolization: Prospective Clinical Validation in Patients with Primary and Secondary Liver Cancer
Miszczuk MA, Chapiro J, Geschwind JH, Thakur V, Nezami N, Laage-Gaupp F, Kulon M, van Breugel JMM, Fereydooni A, Lin M, Savic LJ, Tegel B, Wahlin T, Funai E, Schlachter T. Lipiodol as an Imaging Biomarker of Tumor Response After Conventional Transarterial Chemoembolization: Prospective Clinical Validation in Patients with Primary and Secondary Liver Cancer. Translational Oncology 2020, 13: 100742. PMID: 32092672, PMCID: PMC7036424, DOI: 10.1016/j.tranon.2020.01.003.Peer-Reviewed Original Research
2016
Intra-arterial therapies for liver cancer: assessing tumor response
Stroehl YW, Letzen BS, van Breugel JM, Geschwind JF, Chapiro J. Intra-arterial therapies for liver cancer: assessing tumor response. Expert Review Of Anticancer Therapy 2016, 17: 119-127. PMID: 27983883, DOI: 10.1080/14737140.2017.1273775.Peer-Reviewed Original Research