Diagnosis of Prostate Cancer with Noninvasive Estimation of Prostate Tissue Composition by Using Hybrid Multidimensional MR Imaging: A Feasibility Study.
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Aytekin Oto | Gregory S Karczmar | Ajit Devaraj | Aritrick Chatterjee | Tatjana Antic | A. Oto | R. Bourne | G. Karczmar | T. Antic | A. Gallan | A. Devaraj | Shiyang Wang | Roger M Bourne | Alexander J Gallan | Shiyang Wang | A. Chatterjee | Ajit Devaraj
[1] Aytekin Oto,et al. Hybrid multidimensional T2 and diffusion‐weighted MRI for prostate cancer detection , 2014, Journal of magnetic resonance imaging : JMRI.
[2] Carole Lartizien,et al. Prostate focal peripheral zone lesions: characterization at multiparametric MR imaging--influence of a computer-aided diagnosis system. , 2014, Radiology.
[3] Evaluation of T2 values and apparent diffusion coefficient of the masseter muscle by clenching. , 2011, Dento maxillo facial radiology.
[4] T. Bathen,et al. Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer , 2016, Front. Oncol..
[5] A. Oto,et al. Multi-parametric MR imaging of the anterior fibromuscular stroma and its differentiation from prostate cancer , 2017, Abdominal Radiology.
[6] Silvia D. Chang,et al. MR measurement of luminal water in prostate gland: Quantitative correlation between MRI and histology , 2017, Journal of magnetic resonance imaging : JMRI.
[7] T. Scheenen,et al. Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate. , 2016, Radiology.
[8] A. Jemal,et al. Cancer statistics, 2012 , 2012, CA: a cancer journal for clinicians.
[9] G. Cowin,et al. 16 T Diffusion microimaging of fixed prostate tissue: Preliminary findings , 2011, Magnetic resonance in medicine.
[10] A. Evans,et al. Prostate tissue composition and MR measurements: investigating the relationships between ADC, T2, K(trans), v(e), and corresponding histologic features. , 2010, Radiology.
[11] Mark McEntee,et al. Changes in Epithelium, Stroma, and Lumen Space Correlate More Strongly with Gleason Pattern and Are Stronger Predictors of Prostate ADC Changes than Cellularity Metrics. , 2015, Radiology.
[12] Andrew B Rosenkrantz,et al. Radiologist, be aware: ten pitfalls that confound the interpretation of multiparametric prostate MRI. , 2014, AJR. American journal of roentgenology.
[13] J. Geitung,et al. Prostate magnetic resonance imaging: Multiexponential T2 decay in prostate tissue , 2008, Journal of magnetic resonance imaging : JMRI.
[14] G. Cowin,et al. Microscopic diffusivity compartmentation in formalin‐fixed prostate tissue , 2012, Magnetic resonance in medicine.
[15] Silvia D. Chang,et al. Luminal Water Imaging: A New MR Imaging T2 Mapping Technique for Prostate Cancer Diagnosis. , 2017, Radiology.
[16] Linda M. Johnson,et al. The Role of MRI in Prostate Cancer Active Surveillance , 2014, BioMed research international.
[17] Deanna L Langer,et al. Intermixed normal tissue within prostate cancer: effect on MR imaging measurements of apparent diffusion coefficient and T2--sparse versus dense cancers. , 2008, Radiology.
[18] Aytekin Oto,et al. Benign Conditions That Mimic Prostate Carcinoma: MR Imaging Features with Histopathologic Correlation. , 2016, Radiographics : a review publication of the Radiological Society of North America, Inc.
[19] Eleftheria Panagiotaki,et al. Limitations and Prospects for Diffusion-Weighted MRI of the Prostate , 2016, Diagnostics.
[20] Evis Sala,et al. Transition zone prostate cancers: features, detection, localization, and staging at endorectal MR imaging. , 2006, Radiology.
[21] R. Bourne. Magnetic resonance microscopy of prostate tissue: How basic science can inform clinical imaging development , 2013, Journal of medical radiation sciences.