2022
Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging
Kong H, Kim J, Moon H, Park H, Kim J, Lim R, Woo J, Fakhri G, Kim D, Kim S. Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging. Scientific Reports 2022, 12: 18118. PMID: 36302815, PMCID: PMC9613909, DOI: 10.1038/s41598-022-22222-z.Peer-Reviewed Original ResearchConceptsSynthetic data augmentationData augmentationLack of training dataConventional data augmentationDeep learning methodsTraining dataLearning methodsPipeline approachAlgorithm trainingGraphical dataAutomationWaters' view radiographsModel performanceAutomated pipelinePerformancePerformance parametersAlgorithmDatasetAugmentationDataMethodPipelineRulesIndustrial workersHuman biodistribution and radiation dosimetry of the demyelination tracer [18F]3F4AP
Brugarolas P, Wilks M, Noel J, Kaiser J, Vesper D, Ramos-Torres K, Guehl N, Macdonald-Soccorso M, Sun Y, Rice P, Yokell D, Lim R, Normandin M, El Fakhri G. Human biodistribution and radiation dosimetry of the demyelination tracer [18F]3F4AP. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 50: 344-351. PMID: 36197499, PMCID: PMC9816249, DOI: 10.1007/s00259-022-05980-w.Peer-Reviewed Original ResearchConceptsRadiation dosimetryTime-activity curvesAdverse eventsEffective doseMultiple bed positionsComprehensive metabolic panelNonhuman primatesHealthy human volunteersNo adverse eventsDynamic PET scansVoltage-gated potassiumAnimal models of neurological diseasesNonhuman primate studiesModels of neurological diseasesHuman biodistributionAverage effective doseMetabolic panelDosimetryOLINDA softwareHealthy volunteersUrinary bladderPET scansDemyelinating lesionsBed positionAnimal modelsJoint EANM/SIOPE/RAPNO practice guidelines/SNMMI procedure standards for imaging of paediatric gliomas using PET with radiolabelled amino acids and [18F]FDG: version 1.0
Piccardo A, Albert N, Borgwardt L, Fahey F, Hargrave D, Galldiks N, Jehanno N, Kurch L, Law I, Lim R, Lopci E, Marner L, Morana G, Young Poussaint T, Seghers V, Shulkin B, Warren K, Traub-Weidinger T, Zucchetta P. Joint EANM/SIOPE/RAPNO practice guidelines/SNMMI procedure standards for imaging of paediatric gliomas using PET with radiolabelled amino acids and [18F]FDG: version 1.0. European Journal Of Nuclear Medicine And Molecular Imaging 2022, 49: 3852-3869. PMID: 35536420, PMCID: PMC9399211, DOI: 10.1007/s00259-022-05817-6.Peer-Reviewed Original ResearchConceptsAmino acid positron emission tomographyPositron emission tomographyPaediatric neuro-oncologyEuropean Society for Paediatric Oncology (SIOPENeuro-oncologyLevel of evidenceBrain tumor groupPositron emission tomography imagingEvidence-based recommendationsPaediatric patientsTumor groupResponse assessmentClinician guidelinesPaediatric gliomasBrain gliomasImaging specialistsEmission tomographyRadiolabeled amino acidsConsensus opinionEANMPaediatric oncologyPET radiopharmaceuticalsGliomaNuclear medicineOncology
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-rayDetecting lumbar lesions in 99mTc‐MDP SPECT by deep learning: Comparison with physicians
Petibon Y, Fahey F, Cao X, Levin Z, Sexton‐Stallone B, Falone A, Zukotynski K, Kwatra N, Lim R, Bar‐Sever Z, Chemli Y, Treves S, Fakhri G, Ouyang J. Detecting lumbar lesions in 99mTc‐MDP SPECT by deep learning: Comparison with physicians. Medical Physics 2021, 48: 4249-4261. PMID: 34101855, DOI: 10.1002/mp.15033.Peer-Reviewed Original ResearchConceptsSingle-photon emission computed tomographyLow back painLumbar lesionsPediatric patientsTc-MDPEvaluate low back painCause of low back painTc-MDP scanLesion-presentEmission computed tomographyConvolutional neural networkClinical likelihoodBack painInterreader variabilityDeep convolutional neural networkLumbar locationLesionsStress lesionsFocal lesionsDeep learningPatientsLumbar stressPhysiciansDL systemsLROC studiesValidation of the Radiographic Global Impression of Change (RGI-C) score to assess healing of rickets in pediatric X-linked hypophosphatemia (XLH)
Lim R, Shailam R, Hulett R, Skrinar A, Nixon A, Williams A, Nixon M, Thacher T. Validation of the Radiographic Global Impression of Change (RGI-C) score to assess healing of rickets in pediatric X-linked hypophosphatemia (XLH). Bone 2021, 148: 115964. PMID: 33878504, DOI: 10.1016/j.bone.2021.115964.Peer-Reviewed Original ResearchConceptsRickets Severity ScaleInter-rater reliabilityGlobal Impression of ChangeX-linked hypophosphatemiaIntra-raterImpression of ChangeRadiographic Global Impression of ChangeGlobal scoreRGI-CModerate to almost perfect agreementStandardized response meanIntra-rater reliabilityAlmost perfect agreementWeighted kappa valuesResponse meanChange scoresStanding heightBaseline to weekLeg scoreHealing of ricketsSeverity ScalePerfect agreementRickets severityBurosumab treatmentKappa values
2020
SNMMI Procedure Standard/EANM Practice Guideline on Pediatric 18F-FDG PET/CT for Oncology 1.0
Vali R, Alessio A, Balza R, Borgwardt L, Bar-Sever Z, Czachowski M, Jehanno N, Kurch L, Pandit-Taskar N, Parisi M, Piccardo A, Seghers V, Shulkin B, Zucchetta P, Lim R. SNMMI Procedure Standard/EANM Practice Guideline on Pediatric 18F-FDG PET/CT for Oncology 1.0. Journal Of Nuclear Medicine 2020, 62: 99-110. PMID: 33334912, PMCID: PMC8679588, DOI: 10.2967/jnumed.120.254110.Peer-Reviewed Original ResearchConceptsEuropean Association of Nuclear MedicineF-FDG PET/CTF-FDGComputerized tomographyTechnology subsequent to publicationEvidence-based recommendationsLevel of trainingNuclear medicineLevel of evidenceDiagnostic nuclear medicine imagingPractice of medicineComplexity of human conditionsMedicine careStandard of careScience of nuclear medicineLegal standard of careCourse of actionMedicine practiceConsensus processPractice guidelinesSociety of Nuclear MedicinePediatric oncologyMedical professionalsClinician guidelinesApplications of nuclear medicineCorticosteroids to prevent kidney scarring in children with a febrile urinary tract infection: a randomized trial
Shaikh N, Shope T, Hoberman A, Muniz G, Bhatnagar S, Nowalk A, Hickey R, Michaels M, Kearney D, Rockette H, Charron M, Lim R, Majd M, Shalaby-Rana E, Kurs-Lasky M, Cohen D, Wald E, Lockhart G, Pohl H, Martin J. Corticosteroids to prevent kidney scarring in children with a febrile urinary tract infection: a randomized trial. Pediatric Nephrology 2020, 35: 2113-2120. PMID: 32556960, PMCID: PMC7529851, DOI: 10.1007/s00467-020-04622-3.Peer-Reviewed Original ResearchConceptsFebrile urinary tract infectionUrinary tract infectionAdjuvant systemic corticosteroidsKidney scarringSystemic corticosteroidsTract infectionsInitiate urinary tract infectionReducing kidney scarringEfficacy of corticosteroidsMethodsChildren aged 2Absolute risk reductionRandomized to corticosteroidsMonths to 6Statistically significant differencePlacebo groupAdjuvant corticosteroidsCorticosteroidsKidney scansPlaceboSignificant differenceAged 2ScarsKidneyInfectionMonthsReducing Radiation Dose and Contrast Medium Volume With Application of Dual-Energy CT in Children and Young Adults.
Tabari A, Gee M, Singh R, Lim R, Nimkin K, Primak A, Schmidt B, Kalra M. Reducing Radiation Dose and Contrast Medium Volume With Application of Dual-Energy CT in Children and Young Adults. American Journal Of Roentgenology 2020, 214: 1199-1205. PMID: 32286868, DOI: 10.2214/ajr.19.22231.Peer-Reviewed Original ResearchConceptsSingle-energy CTContrast material volumeDS-DECTDual-energy CTRadiation doseThird-generation dual-source CT scannerDual-source dual-energy CTDual-source CT scannerContrast volume reductionCT dose descriptorsMean patient ageApplications of dual-energy CTContrast medium volumeWeight-matched patientsYoung adultsReduce radiation doseLow radiation doseCohen's kappa testConsecutive childrenPatient ageRadiological findingsDose descriptorsPatient demographicsRetrospective studyKappa test
2019
PET/MR Imaging: Current Updates on Pediatric Applications
Kwatra N, Lim R, Gee M, States L, Vossough A, Lee E. PET/MR Imaging: Current Updates on Pediatric Applications. Magnetic Resonance Imaging Clinics Of North America 2019, 27: 387-407. PMID: 30910104, DOI: 10.1016/j.mric.2019.01.012.Peer-Reviewed Original ResearchClinical significance of incidentally discovered renal cysts in pediatric patients
Botwin A, Phewplung T, Wu K, Lim R, Traum A, Gee M. Clinical significance of incidentally discovered renal cysts in pediatric patients. Abdominal Radiology 2019, 44: 2835-2840. PMID: 30972430, DOI: 10.1007/s00261-019-02017-z.Peer-Reviewed Original ResearchConceptsAutosomal dominant polycystic kidney diseasePediatric patientsRenal cystsFamily historyClinical significanceCyst groupRisk of autosomal dominant polycystic kidney diseaseDiagnosis of autosomal dominant polycystic kidney diseaseAssociated with higher incidenceMethodsA retrospective searchFollow-up imagingDominant polycystic kidney diseaseSearch of radiology reportsMaximum cyst diameterStatistically significant elevationPolycystic kidney diseaseNo malignancyRetrospective search of radiology reportsCyst evaluationBilateral cystsCyst sizeFollow-up studyCyst characteristicsCyst diameterImaging predictors
2018
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability
Tajmir S, Lee H, Shailam R, Gale H, Nguyen J, Westra S, Lim R, Yune S, Gee M, Do S. Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability. Skeletal Radiology 2018, 48: 275-283. PMID: 30069585, DOI: 10.1007/s00256-018-3033-2.Peer-Reviewed Original ResearchConceptsBone age assessmentAutomated artificial intelligenceAI assistanceBone age radiographsConvolutional neural networkDeep learning algorithmsRoot mean square errorMean square errorPediatric radiologistsUtilization of AILearning algorithmsNeural networkArtificial intelligenceIntraclass correlation coefficientImproved performancePooled cohortRadiologist interpretationImaging studiesInter-rater variationAccuracyMetabolic disordersIncreased accuracyRadiologistsAge accuracyMeasures of accuracy
2016
Up-to-date review of nuclear medicine applications in pediatric thoracic imaging
Kwatra N, Grant F, Lim R, Lee E. Up-to-date review of nuclear medicine applications in pediatric thoracic imaging. European Journal Of Radiology 2016, 95: 418-427. PMID: 27142495, DOI: 10.1016/j.ejrad.2016.04.007.Peer-Reviewed Original Research
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 rolePETSurgerySimplifying size-specific radiation dose estimates in pediatric CT.
Khawaja R, Singh S, Vettiyil B, Lim R, Gee M, Westra S, Kalra M. Simplifying size-specific radiation dose estimates in pediatric CT. American Journal Of Roentgenology 2015, 204: 167-76. PMID: 25539253, DOI: 10.2214/ajr.13.12191.Peer-Reviewed Original Research
2014
Dose reduction in pediatric abdominal CT: use of iterative reconstruction techniques across different CT platforms
Khawaja R, Singh S, Otrakji A, Padole A, Lim R, Nimkin K, Westra S, Kalra M, Gee M. Dose reduction in pediatric abdominal CT: use of iterative reconstruction techniques across different CT platforms. Pediatric Radiology 2014, 45: 1046-1055. PMID: 25427434, DOI: 10.1007/s00247-014-3235-2.Peer-Reviewed Original Research
2013
Simultaneous 99mTc‐MDP/123I‐MIBG tumor imaging using SPECT‐CT: Phantom and constructed patient studies
Rakvongthai Y, Fakhri G, Lim R, Bonab A, Ouyang J. Simultaneous 99mTc‐MDP/123I‐MIBG tumor imaging using SPECT‐CT: Phantom and constructed patient studies. Medical Physics 2013, 40: 102506. PMID: 24089927, PMCID: PMC3785531, DOI: 10.1118/1.4820977.Peer-Reviewed Original ResearchConceptsScatter correctionDual-radionuclideContrast recoveryPhantom studyAnthropomorphic torso phantomPatient studiesTumor uptakeTumor imagingSPECT projectionsTorso phantomMonte-CarloPhantom dataPhantomIterative reconstructionOSEMProjection dataDR dataIncrease patient throughputNoise realizationsSPECT-CTImage reconstructionClinical studiesTumorTumor projectionPoisson noise
2011
Impact of Time-of-Flight PET on Whole-Body Oncologic Studies: A Human Observer Lesion Detection and Localization Study
Surti S, Scheuermann J, Fakhri G, Daube-Witherspoon M, Lim R, Abi-Hatem N, Moussallem E, Benard F, Mankoff D, Karp J. Impact of Time-of-Flight PET on Whole-Body Oncologic Studies: A Human Observer Lesion Detection and Localization Study. Journal Of Nuclear Medicine 2011, 52: 712-719. PMID: 21498523, PMCID: PMC3104282, DOI: 10.2967/jnumed.110.086678.Peer-Reviewed Original ResearchConceptsLocalization receiver operating characteristicsTime-of-flight PETLong scan timesArea under the LROC curveScan timeFunction of scan timePatient sizeTime-of-flight (TOFLROC curveLow-uptake lesionsTOF imagesTOF kernelLesion detection taskTOF-PETWhole-body oncologyLesion detection performanceScanner fieldPhantom studyPatient body mass indexProbability of correct localizationLesion detectionSphere dataBody mass indexLarger patientsReceiver operating characteristic
2009
Pediatric FDG PET/CT: Physiologic Uptake, Normal Variants, and Benign Conditions1
Shammas A, Lim R, Charron M. Pediatric FDG PET/CT: Physiologic Uptake, Normal Variants, and Benign Conditions1. Radio Graphics 2009, 29: 1467-86. PMID: 19755606, DOI: 10.1148/rg.295085247.Peer-Reviewed Original ResearchConceptsPositron emission tomographyFDG uptakeBenign lesionsPhysiological uptakeIncreased (18)F-FDG uptakeFDG-PET/CT studiesPhysiological variantsHead and neckAssociated with pitfallsUrinary collecting systemPediatric oncology patientsPET/CT studiesFollow-up studyPET/computed tomographicBone marrowImprove patient treatmentOncology patientsNormal variantsPET image interpretationEmission tomographyPatient treatmentAttenuation correctionAdipose tissueBrown adipose tissueGastrointestinal tract
2008
Renal pyramid echogenicity in ureteropelvic junction obstruction: correlation between altered echogenicity and differential renal function
Chavhan G, Daneman A, Moineddin R, Lim R, Langlois V, Traubici J. Renal pyramid echogenicity in ureteropelvic junction obstruction: correlation between altered echogenicity and differential renal function. Pediatric Radiology 2008, 38: 1068. PMID: 18633607, DOI: 10.1007/s00247-008-0943-5.Peer-Reviewed Original Research