Helene Thygesen
St James's University Hospital
AlgorithmRisk assessmentInternal medicineRadiologySurgeryOncologyUnivariate analysisPrognostic variableRetrospective cohort studyRadiological weaponUnivariateYoung adultPositron emission tomographyBiopsyLung cancerPerformance statusNodule (medicine)Large cellDiseaseMalignancyGuidelineSolitary pulmonary noduleAdenocarcinomaPopulationMultiple Pulmonary NodulesStatistical differenceNuclear medicineNon small cellCervical carcinomaRisk of malignancyValidation studyMultivariate analysisPredictive modellingRadiation therapyOccultReceiver operating characteristicMedicineCohortAdded value
7Publications
2H-index
98Citations
Publications 6
Newest
#1Ali Al-AmeriH-Index: 1
#2P MalhotraH-Index: 4
Last. Matthew E.J. CallisterH-Index: 18
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Background The British Thoracic Society guidelines (2015) on the investigation and management of pulmonary nodules recommend the use of two risk prediction tools to assess the likelihood of malignancy in solid pulmonary nodules (Brock model following initial CT and the model described by Herder et al . following PET-CT). Management strategies are suggested on the basis of these risk assessments. The aim of this study was to assess the performance of this algorithm in patients with solid pulmonar...
Source
#1Ali Al-AmeriH-Index: 1
#2P MalhotraH-Index: 4
Last. Matthew E.J. CallisterH-Index: 18
view all 8 authors...
Source
#1Ali Al-AmeriH-Index: 1
#2P MalhotraH-Index: 4
Last. Matthew E.J. CallisterH-Index: 18
view all 8 authors...
Abstract Objectives Clinical prediction models assess the likelihood of malignancy in pulmonary nodules detected by computed tomography (CT). This study aimed to validate four such models in a UK population of patients with pulmonary nodules. Three models used clinical and CT characteristics to predict risk (Mayo Clinic, Veterans Association, Brock University) with a fourth model (Herder et al. [4] ) additionally incorporating 18Fluorine-Fluorodeoxyglucose (FDG) avidity on positron emission tomo...
84 CitationsSource
#1Ali Al-AmeriH-Index: 1
#2P MalhotraH-Index: 4
Last. Mej CallisterH-Index: 1
view all 8 authors...
Source
#1Ali Al-Ameri (St James's University Hospital)H-Index: 1
#2P MalhotraH-Index: 4
Last. Matthew E.J. Callister (St James's University Hospital)H-Index: 18
view all 8 authors...
Background Management of solitary pulmonary nodules (SPNs) depends critically on the pre-test probability of malignancy. Several quantitative prediction models have been developed using clinical and radiological criteria. Three models include CT criteria (Mayo, Veterans Association, Brock University) with a fourth model (Herder) incorporating FDG avidity on CT-PET scan in addition. These models have not been validated in a UK population, and the current study aimed to compare their performance i...
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#1Arunesh Kumar (St James's University Hospital)H-Index: 1
#2Helene Thygesen (St James's University Hospital)H-Index: 2
Last. Andrew Scarsbrook (St James's University Hospital)H-Index: 29
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Aims and Objectives : To determine whether pre-treatment FDG PET-CTderived tumour SUVmax ,tumour and lymph node staging and other factors are predictors of survival in patients with NSCLC Methods 136 patients with NSCLC [adenocarcinoma 39%,squamous 37%, Large cell 17%,Undifferentiated 6%] who underwent staging FDG PET-CT before treatment were identified .Median followup 635 days. Tumour and nodal staging at PET-CT & staging CT, SUVmax of primary tumour, factors like age, gender, ALT, tumour type...