Optimal time for early therapeutic response prediction in nasopharyngeal carcinoma with functional magnetic resonance imaging
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X. Guan | V. Vardhanabhuti | W. Ng | D. Chua | A. Mui | V. Lee | Anne W.M. Lee | S. Man
[1] A. Kjaer,et al. Diffusion weighted magnetic resonance imaging (DW-MRI) as a non-invasive, tissue cellularity marker to monitor cancer treatment response , 2020, BMC Cancer.
[2] N. Obuchowski,et al. Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials , 2018, Journal of magnetic resonance imaging : JMRI.
[3] K. Winter,et al. Histogram analysis parameters of apparent diffusion coefficient reflect tumor cellularity and proliferation activity in head and neck squamous cell carcinoma , 2018, Oncotarget.
[4] K. Winter,et al. Histogram analysis parameters of dynamic contrast-enhanced magnetic resonance imaging can predict histopathological findings including proliferation potential, cellularity, and nucleic areas in head and neck squamous cell carcinoma , 2018, Oncotarget.
[5] Alexey Surov,et al. Correlation between apparent diffusion coefficient (ADC) and cellularity is different in several tumors: a meta-analysis , 2017, Oncotarget.
[6] Ying Sun,et al. Magnetic Resonance Imaging-Detected Tumor Residue after Intensity-Modulated Radiation Therapy and its Association with Post-Radiation Plasma Epstein-Barr Virus Deoxyribonucleic Acid in Nasopharyngeal Carcinoma , 2017, Journal of Cancer.
[7] Yu Xiao-ping,et al. Intravoxel incoherent motion MRI for predicting early response to induction chemotherapy and chemoradiotherapy in patients with nasopharyngeal carcinoma , 2016, Journal of magnetic resonance imaging : JMRI.
[8] D. Collins,et al. Assessment of repeatability and treatment response in early phase clinical trials using DCE-MRI: comparison of parametric analysis using MR- and CT-derived arterial input functions , 2015, European Radiology.
[9] Weibo Chen,et al. Early response to chemoradiotherapy for nasopharyngeal carcinoma treatment: Value of dynamic contrast‐enhanced 3.0 T MRI , 2015, Journal of magnetic resonance imaging : JMRI.
[10] Yun-bin Chen,et al. Diffusion-weighted magnetic resonance imaging for early response assessment of chemoradiotherapy in patients with nasopharyngeal carcinoma. , 2014, Magnetic resonance imaging.
[11] Jing Yuan,et al. Quantitative evaluation of dual-flip-angle T1 mapping on DCE-MRI kinetic parameter estimation in head and neck. , 2012, Quantitative imaging in medicine and surgery.
[12] A. W. Simonetti,et al. Pharmacokinetic analysis based on dynamic contrast‐enhanced MRI for evaluating tumor response to preoperative therapy for oral cancer , 2012, Journal of magnetic resonance imaging : JMRI.
[13] S. Yang,et al. Clinical implications of the tumor volume reduction rate in head-and-neck cancer during definitive intensity-modulated radiotherapy for organ preservation. , 2011, International journal of radiation oncology, biology, physics.
[14] Chaosu Hu,et al. Hypoxia inducible factor-1 alpha and vascular endothelial growth factor expression are associated with a poor prognosis in patients with nasopharyngeal carcinoma receiving radiotherapy with carbogen and nicotinamide. , 2008, Clinical oncology (Royal College of Radiologists (Great Britain)).
[15] David Atkinson,et al. Computationally efficient vascular input function models for quantitative kinetic modelling using DCE-MRI , 2008, Physics in medicine and biology.
[16] A. Jackson,et al. Experimentally‐derived functional form for a population‐averaged high‐temporal‐resolution arterial input function for dynamic contrast‐enhanced MRI , 2006, Magnetic resonance in medicine.
[17] Anne W. M. Lee. Current Management Strategies for Non-Metastatic Nasopharyngeal Cancer , 2006 .
[18] T. Bezabeh,et al. Prediction of treatment response in head and neck cancer by magnetic resonance spectroscopy. , 2005, AJNR. American journal of neuroradiology.
[19] Haruhiro Inoue,et al. Dynamism of tumour vasculature in the early phase of cancer progression: outcomes from oesophageal cancer research. , 2002, The Lancet. Oncology.
[20] A. Harris,et al. Coexpression of hypoxia-inducible factors 1alpha and 2alpha, carbonic anhydrase IX, and vascular endothelial growth factor in nasopharyngeal carcinoma and relationship to survival. , 2002, Clinical cancer research : an official journal of the American Association for Cancer Research.
[21] M V Knopp,et al. Dynamic contrast-enhanced magnetic resonance imaging in oncology. , 2001, Topics in magnetic resonance imaging : TMRI.
[22] J. Sham,et al. The time course of histologic remission after treatment of patients with nasopharyngeal carcinoma , 1999, Cancer.
[23] S. Fox,et al. TUMOUR ANGIOGENESIS , 1996, The Journal of pathology.
[24] A. Boss,et al. Quantitative imaging. , 2015, Investigative radiology.
[25] Massimo Filippi,et al. Diffusion-Weighted MRI , 2003 .
[26] P. Tofts. Modeling tracer kinetics in dynamic Gd‐DTPA MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.
[27] S. Leung,et al. Afterloading radiotherapy for local persistence of nasopharyngeal carcinoma. , 1994, The British journal of radiology.
[28] L. Sobin,et al. TNM Classification of Malignant Tumours , 1987, UICC International Union Against Cancer.
[29] H. Weinmann,et al. Pharmacokinetics of GdDTPA/dimeglumine after intravenous injection into healthy volunteers. , 1984, Physiological chemistry and physics and medical NMR.
[30] Physics and Imaging in Radiation Oncology , 2022 .