Diffusion-weighted imaging of rectal cancer on repeatability and cancer characterization: an effect of b-value distribution study
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Yukun Chen | Luguang Chen | Fu Shen | Zhihui Li | Haidi Lu | Jianping Lu | Jianping Lu | Luguang Chen | Zhen Wang | Zhen Wang | Zhihui Li | F. Shen | Haidi Lu | Yukun Chen
[1] Luís Curvo-Semedo,et al. Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability , 2011, European Radiology.
[2] D. Collins,et al. Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. , 2011, AJR. American journal of roentgenology.
[3] J. E. Gonçalves,et al. Quantitative Aspects of Diffusion-weighted Magnetic Resonance Imaging in Rectal Cancer Response to Neoadjuvant Therapy , 2017, Radiology and oncology.
[4] D. Collins,et al. Diffusion-weighted MRI in the body: applications and challenges in oncology. , 2007, AJR. American journal of roentgenology.
[5] S. Fujii,et al. Apparent diffusion coefficient (ADC) measurement in ovarian tumor: Effect of region‐of‐interest methods on ADC values and diagnostic ability , 2016, Journal of magnetic resonance imaging : JMRI.
[6] Gary P Liney,et al. Correlation of ADC and T2 Measurements With Cell Density in Prostate Cancer at 3.0 Tesla , 2009, Investigative radiology.
[7] Chung-Cheng Hsieh,et al. Prognostic Significance of Partial Tumor Regression After Preoperative Chemoradiotherapy for Rectal Cancer: A Meta-analysis , 2013, Diseases of the colon and rectum.
[8] M. Barton,et al. The Potential for an Enhanced Role for MRI in Radiation-therapy Treatment Planning , 2013, Technology in cancer research & treatment.
[9] Dipanjali Mondal,et al. Diffusion-weighted MR imaging in primary rectal cancer staging demonstrates but does not characterise lymph nodes , 2013, European Radiology.
[10] A. Jemal,et al. Cancer statistics in China, 2015 , 2016, CA: a cancer journal for clinicians.
[11] J. Fleiss,et al. Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.
[12] C. Mathers,et al. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012 , 2015, International journal of cancer.
[13] Y. Jeong,et al. Predicting response to neoadjuvant chemoradiation therapy in locally advanced rectal cancer: Diffusion‐weighted 3 tesla MR imaging , 2012, Journal of magnetic resonance imaging : JMRI.
[14] Gary P Liney,et al. Functional MRI for quantitative treatment response prediction in locally advanced rectal cancer. , 2017, The British journal of radiology.
[15] Caroline Reinhold,et al. The use of MR imaging in treatment planning for patients with rectal carcinoma: have you checked the "DISTANCE"? , 2013, Radiology.
[16] Ahmed Kamel,et al. Colon Cancer, Version 1.2017, NCCN Clinical Practice Guidelines in Oncology. , 2017, Journal of the National Comprehensive Cancer Network : JNCCN.
[17] D. Wen,et al. Comparison of non-Gaussian and Gaussian diffusion models of diffusion weighted imaging of rectal cancer at 3.0 T MRI , 2016, Scientific Reports.
[18] Rui Bi,et al. Apparent Diffusion Coefficient (ADC) Value: A Potential Imaging Biomarker That Reflects the Biological Features of Rectal Cancer , 2014, PloS one.
[19] Gary Liney,et al. Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer , 2017, BMC Cancer.
[20] Q. Feng,et al. T staging of rectal cancer: Accuracy of diffusion‐weighted imaging compared with T2‐weighted imaging on 3.0 tesla MRI , 2014, Journal of digestive diseases.
[21] S. Schoenberg,et al. Image Quality Assessment of 2D versus 3D T2WI and Evaluation of Ultra-high b-Value (b=2,000 mm/s2) DWI for Response Assessment in Rectal Cancer. , 2018, Anticancer research.
[22] M. Philippens,et al. Repeatability of diffusion‐weighted imaging in rectal cancer , 2014, Journal of magnetic resonance imaging : JMRI.
[23] Yong Zhang,et al. Apparent diffusion coefficient (ADC) measurements in pancreatic adenocarcinoma: A preliminary study of the effect of region of interest on ADC values and interobserver variability , 2016, Journal of magnetic resonance imaging : JMRI.
[24] Lawrence Tanenbaum,et al. Diffusion‐weighted imaging outside the brain: Consensus statement from an ISMRM‐sponsored workshop , 2016, Journal of magnetic resonance imaging : JMRI.