2021
Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
Marin T, Zhuo Y, Lahoud R, Tian F, Ma X, Xing F, Moteabbed M, Liu X, Grogg K, Shusharina N, Woo J, Lim R, Ma C, Chen Y, El Fakhri G. Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas. Radiotherapy And Oncology 2021, 167: 269-276. PMID: 34808228, PMCID: PMC8934266, DOI: 10.1016/j.radonc.2021.09.034.Peer-Reviewed Original ResearchConceptsGross tumor volumeRadiation therapy treatment planningGross tumor volume contoursGross tumor volume delineationTherapy treatment planningIntra-observer variabilityConsensus contoursGTV contoursPre-operative CT imagesSoft tissue sarcomasRadiation oncologistsTumor volumeBone sarcomasTreatment planningAccurate contoursCT imagesDelineation procedureSarcomaSoft tissueConfidence levelRadiationPatientsHausdorff distanceMultiple contoursX-ray
2015
Synergistic role of simultaneous PET/MRI-MRS in soft tissue sarcoma metabolism imaging
Zhang X, Chen Y, Lim R, Huang C, Chebib I, Fakhri G. Synergistic role of simultaneous PET/MRI-MRS in soft tissue sarcoma metabolism imaging. Magnetic Resonance Imaging 2015, 34: 276-279. PMID: 26523656, PMCID: PMC4761342, DOI: 10.1016/j.mri.2015.10.027.Peer-Reviewed Original ResearchConceptsSoft tissue sarcomasMagnetic resonance imagingHigh (18)F-FDG uptakeT2 hyperintense massMagnetic resonance spectroscopyNeoadjuvant radiotherapyPathological resultsTumor marginsTissue sarcomasImaging findingsPET/MRI scansPET scansRight thighRadiotherapyNormal tissuesEmission tomographyResonance imagingMetabolite profilesSarcomaPET/MRIChemoRTChemoradiationSynergistic rolePETSurgery