Lioe-Fee de Geus-Oei

发表

Comparison of Tumor Volumes Derived from Glucose Metabolic Rate Maps and SUV Maps in Dynamic 18F-FDG PET

Johannes H A M Kaanders, W. Oyen, L. de Geus-Oei, 2008, Journal of Nuclear Medicine.

The Impact of Optimal Respiratory Gating and Image Noise on Evaluation of Intratumor Heterogeneity on 18F-FDG PET Imaging of Lung Cancer

Florent Tixier, Dimitris Visvikis, Johan Bussink, 2016, The Journal of Nuclear Medicine.

Multivariable normal-tissue complication modeling of acute esophageal toxicity in advanced stage non-small cell lung cancer patients treated with intensity-modulated (chemo-)radiotherapy.

Esther G C Troost, Robin Wijsman, Johan Bussink, 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Tumour response prediction by diffusion-weighted MR imaging: ready for clinical use?

Arend Heerschap, W. Oyen, L. de Geus-Oei, 2012, Critical reviews in oncology/hematology.

Shortened dynamic FDG-PET protocol to determine the glucose metabolic rate in non-small cell lung carcinoma

Wim J. G. Oyen, Eric P. Visser, Lioe-Fee de Geus-Oei, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) – A prospective externally validated study

Philippe Lambin, Wouter van Elmpt, Cary Oberije, 2018 .

Inclusion of Incidental Radiation Dose to the Cardiac Atria and Ventricles Does Not Improve the Prediction of Radiation Pneumonitis in Advanced-Stage Non-Small Cell Lung Cancer Patients Treated With Intensity Modulated Radiation Therapy.

Robin Wijsman, Johan Bussink, Frank Dankers, 2017, International journal of radiation oncology, biology, physics.

Evaluation of different normalization procedures for the calculation of the standardized uptake value in therapy response monitoring studies

Dennis Vriens, D. Vriens, W. Oyen, 2009, Nuclear medicine communications.

Comparison of image-derived and arterial input functions for estimating the rate of glucose metabolism in therapy-monitoring 18F-FDG PET studies.

Jan Pruim, W. Oyen, L. de Geus-Oei, 2006, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

Methodological considerations in quantification of oncological FDG PET studies

Wim J. G. Oyen, Eric P. Visser, Dennis Vriens, 2009, European Journal of Nuclear Medicine and Molecular Imaging.

Performance of automatic image segmentation algorithms for calculating total lesion glycolysis for early response monitoring in non-small cell lung cancer patients during concomitant chemoradiotherapy.

Dimitris Visvikis, Mathieu Hatt, Johan Bussink, 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Predictive and prognostic value of FDG-PET

W. Oyen, L. de Geus-Oei, Wim J.G. Oyen, 2008, Cancer imaging : the official publication of the International Cancer Imaging Society.

Predictive and prognostic value of FDG‐PET in nonsmall‐cell lung cancer

W. Oyen, L. de Geus-Oei, F. Corstens, 2007, Cancer.

A Curve-Fitting Approach to Estimate the Arterial Plasma Input Function for the Assessment of Glucose Metabolic Rate and Response to Treatment

Eric P. Visser, Dennis Vriens, D. Vriens, 2009, Journal of Nuclear Medicine.

Effect of sitagliptin on energy metabolism and brown adipose tissue in overweight individuals with prediabetes: a randomised placebo-controlled trial

Borja Martinez-Tellez, Jonatan R. Ruiz, Patrick C. N. Rensen, 2018, Diabetologia.

Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer

Arend Heerschap, Wim J. G. Oyen, W. Oyen, 2015, PloS one.

Quantitative assessment of heterogeneity in tumor metabolism using FDG-PET.

Jonathan A Disselhorst, Dennis Vriens, D. Vriens, 2012, International journal of radiation oncology, biology, physics.