Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning
暂无分享,去创建一个
Christos Davatzikos | Jimit Doshi | Michel Bilello | Gaurav Shukla | Saima Rathore | Hamed Akbari | Martin Rozycki | Robert Lustig | C. Davatzikos | M. Bilello | H. Akbari | J. Doshi | G. Shukla | Saima Rathore | Martin Rozycki | R. Lustig
[1] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[2] G. Biros,et al. Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma. , 2016, Neurosurgery.
[3] R. Mirimanoff,et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. , 2005, The New England journal of medicine.
[4] M A Moerland,et al. Brain tumor delineation based on CT and MR imaging. Implications for radiotherapy treatment planning. , 1993, Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al].
[5] Stephen M. Smith,et al. A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..
[6] G. Johnson,et al. Peritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumors. , 2003, AJNR. American journal of neuroradiology.
[7] Mitchel S Berger,et al. Regional variation in histopathologic features of tumor specimens from treatment-naive glioblastoma correlates with anatomic and physiologic MR Imaging. , 2012, Neuro-oncology.
[8] J. Cornfield,et al. A method of estimating comparative rates from clinical data; applications to cancer of the lung, breast, and cervix. , 1951, Journal of the National Cancer Institute.
[9] N. Lundbom,et al. Tissue characterisation of intracranial tumours: the value of magnetisation transfer and conventional MRI , 1995, Neuroradiology.
[10] Hervé Delingette,et al. Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins , 2010, Medical Image Anal..
[11] Hiroyuki Kabasawa,et al. Fractional anisotropy value by diffusion tensor magnetic resonance imaging as a predictor of cell density and proliferation activity of glioblastomas. , 2005, Surgical neurology.
[12] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[13] Shiao Y. Woo,et al. Evaluation of peritumoral edema in the delineation of radiotherapy clinical target volumes for glioblastoma. , 2007, International journal of radiation oncology, biology, physics.
[14] Örjan Smedby,et al. Quantitative MRI for analysis of peritumoral edema in malignant gliomas , 2017, PloS one.
[15] Christos Davatzikos,et al. Combining Generative Models for Multifocal Glioma Segmentation and Registration , 2014, MICCAI.
[16] F. Zanella,et al. Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial. , 2006, The Lancet. Oncology.
[17] Benedick A Fraass,et al. Survival and failure patterns of high-grade gliomas after three-dimensional conformal radiotherapy. , 2002, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[18] Nitin Tandon,et al. The Survival Advantage of “Supratotal” Resection of Glioblastoma Using Selective Cortical Mapping and the Subpial Technique , 2017, Neurosurgery.
[19] Mitchel S Berger,et al. An extent of resection threshold for newly diagnosed glioblastomas. , 2011, Journal of neurosurgery.
[20] S A Sheth,et al. A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies , 2017, American Journal of Neuroradiology.
[21] Christos Davatzikos,et al. Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome , 2018, Journal of medical imaging.
[22] Emmanuel L Barbier,et al. Comparative Overview of Brain Perfusion Imaging Techniques , 2005, Journal of neuroradiology. Journal de neuroradiologie.
[23] Mark W. Woolrich,et al. FSL , 2012, NeuroImage.
[24] Erwin G. Van Meir,et al. Exciting New Advances in Neuro‐Oncology: The Avenue to a Cure for Malignant Glioma , 2010, CA: a cancer journal for clinicians.
[25] Lihua Chen,et al. The Correlation between Apparent Diffusion Coefficient and Tumor Cellularity in Patients: A Meta-Analysis , 2013, PloS one.
[26] D F Nelson,et al. Combined modality approach to treatment of malignant gliomas--re-evaluation of RTOG 7401/ECOG 1374 with long-term follow-up: a joint study of the Radiation Therapy Oncology Group and the Eastern Cooperative Oncology Group. , 1988, NCI monographs : a publication of the National Cancer Institute.
[27] Dieta Brandsma,et al. Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas. , 2008, The Lancet. Oncology.
[28] John Platt,et al. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods , 1999 .
[29] Sanjeev Chawla,et al. Use of magnetic perfusion-weighted imaging to determine epidermal growth factor receptor variant III expression in glioblastoma. , 2012, Neuro-oncology.
[30] Manish K. Aghi,et al. New advances that enable identification of glioblastoma recurrence , 2009, Nature Reviews Clinical Oncology.
[31] Timothy D Johnson,et al. Prospective Analysis of Parametric Response Map–Derived MRI Biomarkers: Identification of Early and Distinct Glioma Response Patterns Not Predicted by Standard Radiographic Assessment , 2011, Clinical Cancer Research.
[32] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[33] U Oppitz,et al. 3D-recurrence-patterns of glioblastomas after CT-planned postoperative irradiation. , 1999, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[34] Keiichi Nakagawa,et al. High-dose conformal radiotherapy for supratentorial malignant glioma: a historical comparison. , 2005, The Lancet. Oncology.
[35] S Lorentini,et al. IMRT or 3D-CRT in Glioblastoma? A Dosimetric Criterion for Patient Selection , 2013, Technology in cancer research & treatment.
[36] Akio Asai,et al. Morphological and flow cytometric analysis of cell infiltration in glioblastoma: a comparison of autopsy brain and neuroimaging , 2010, Brain Tumor Pathology.
[37] Jinsong Wu,et al. The relationship between Cho/NAA and glioma metabolism: implementation for margin delineation of cerebral gliomas , 2012, Acta Neurochirurgica.