2022
Changes in Apparent Diffusion Coefficient (ADC) in Serial Weekly MRI during Radiotherapy in Patients with Head and Neck Cancer: Results from the PREDICT-HN Study
Ng S, Cardenas C, Bahig H, Elgohari B, Wang J, Johnson J, Moreno A, Shah S, Garden A, Phan J, Gunn G, Frank S, Ding Y, Na L, Yuan Y, Urbauer D, Mohamed A, Rosenthal D, Morrison W, MacManus M, Fuller C. Changes in Apparent Diffusion Coefficient (ADC) in Serial Weekly MRI during Radiotherapy in Patients with Head and Neck Cancer: Results from the PREDICT-HN Study. Current Oncology 2022, 29: 6303-6313. PMID: 36135064, PMCID: PMC9498049, DOI: 10.3390/curroncol29090495.Peer-Reviewed Original ResearchConceptsApparent diffusion coefficientPost-treatment MRIT3-T4 tumorsIntact primary tumorSquamous cell carcinomaT1-T2 tumorsDifferent treatment responsesNodal diseaseOropharyngeal cancerClinical featuresSpearman correlation coefficientCell carcinomaNeck cancerPrimary tumorNeck radiotherapyNodal sitesTreatment responseWeek 4Weekly MRIPatientsMR biomarkersGTV sizeNodal volumeADC valuesTumors
2020
Changes In Apparent Diffusion Coefficient (ADC) In Serial Weekly MRI During Radiotherapy In Patients With Head And Neck Cancer: Results From The PREDICT-HN Study
Ng S, Cardenas C, Bahig H, Elgohari B, Wang J, Johnson J, Moreno A, Shah S, Garden A, Phan J, Gunn G, Frank S, Ding Y, Na L, Yuan Y, Urbauer D, Rosenthal D, Morrison W, MacManus M, Fuller C. Changes In Apparent Diffusion Coefficient (ADC) In Serial Weekly MRI During Radiotherapy In Patients With Head And Neck Cancer: Results From The PREDICT-HN Study. International Journal Of Radiation Oncology • Biology • Physics 2020, 108: e790-e791. DOI: 10.1016/j.ijrobp.2020.07.264.Peer-Reviewed Original ResearchSurveillance Imaging for Patients with Head and Neck Cancer Treated with Definitive Radiotherapy: A Partially Observed Markov Decision Process Model
Ng S, Ajayi T, Schaefer A, Pollard C, Bahig H, Garden A, Rosenthal D, Gunn G, Phan J, Morrison W, Johnson J, Mohamed A, Sturgis E, Fuller C. Surveillance Imaging for Patients with Head and Neck Cancer Treated with Definitive Radiotherapy: A Partially Observed Markov Decision Process Model. International Journal Of Radiation Oncology • Biology • Physics 2020, 106: 1154. DOI: 10.1016/j.ijrobp.2019.11.234.Peer-Reviewed Original Research
2019
Usefulness of surveillance imaging in patients with head and neck cancer who are treated with definitive radiotherapy
Ng S, Pollard C, Berends J, Ayoub Z, Kamal M, Garden A, Bahig H, Cantor S, Schaefer A, Ajayi T, Gunn G, Frank S, Skinner H, Phan J, Morrison W, Ferrarotto R, Johnson J, Mohamed A, Lai S, Hessel A, Sturgis E, Weber R, Fuller C, Rosenthal D. Usefulness of surveillance imaging in patients with head and neck cancer who are treated with definitive radiotherapy. Cancer 2019, 125: 1823-1829. PMID: 30748005, PMCID: PMC7234834, DOI: 10.1002/cncr.31983.Peer-Reviewed Original ResearchConceptsDisease recurrenceAsymptomatic patientsOverall survivalClinical findingsNeck cancerAdverse clinical findingsLocoregional disease recurrenceMedian imaging followUsefulness of surveillanceDisease-free intervalMedian overall survivalDistant disease recurrenceGroup of patientsEfficacy of surveillanceTreatment of HNCEligible patientsSalvage therapySalvageable recurrenceDefinitive radiotherapyMedian timeSuspicious findingsPatientsRecurrenceRadiotherapyEarly detection
2018
Predicting treatment Response based on Dual assessment of magnetic resonance Imaging kinetics and Circulating Tumor cells in patients with Head and Neck cancer (PREDICT-HN): matching ‘liquid biopsy’ and quantitative tumor modeling
Ng S, Bahig H, Wang J, Cardenas C, Lucci A, Hall C, Meas S, Sarli V, Yuan Y, Urbauer D, Ding Y, Ikner S, Dinh V, Elgohari B, Johnson J, Skinner H, Gunn G, Garden A, Phan J, Rosenthal D, Morrison W, Frank S, Hutcheson K, Mohamed A, Lai S, Ferrarotto R, MacManus M, Fuller C. Predicting treatment Response based on Dual assessment of magnetic resonance Imaging kinetics and Circulating Tumor cells in patients with Head and Neck cancer (PREDICT-HN): matching ‘liquid biopsy’ and quantitative tumor modeling. BMC Cancer 2018, 18: 903. PMID: 30231854, PMCID: PMC6148797, DOI: 10.1186/s12885-018-4808-5.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersClinical ProtocolsFemaleHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLiquid BiopsyMagnetic Resonance ImagingMaleNeoplastic Cells, CirculatingPositron Emission Tomography Computed TomographyPositron-Emission TomographyPrognosisProspective StudiesTreatment OutcomeConceptsNeck cancerPET/CT imagesTreatment responseBlood samplesTumor cellsTumor cell measurementUtility of CTCsProspective observational studyBackgroundMagnetic resonance imagingSoft tissue involvementDate of enrollmentSerial MR imagingDe-escalation strategiesPersonalization of treatmentEDTA blood samplesCirculating Tumor CellsCTC assessmentMucosal headClinical outcomesDose escalationImaging changesLocal therapyPretreatment CTPatient selectionPrognostic value