Magnetic resonance imaging (MRI) has been shown to improve the diagnosis and management of patients with brain disorders. Multiparametric MRI offers the possibility of noninvasively assessing multiple facets of pathophysiological processes that exist simultaneously, thereby further assisting in patient treatment management.
The results of this diagnostic meta-analysis on the accuracy of multiparametric MRI for prostate cancer detection using the combination of T2-weighted imaging, DWI, and DCE-MRI revealed a high overall sensitivity and specificity. The overall methodologic quality of the included studies was fair, but large heterogeneity was reported.
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Rationale and Objectives. Treatment of brain neoplasms can greatly benefit from better delineation of bulk neoplasm boundary and the extent and degree of more subtle neoplastic infiltration. Magnetic resonance imaging (MRI) is the primary imaging modality for evaluation before and after therapy, typically combining.
Multiparametric Volumetric MR Characterization of Intracranial Lesions.. MRI acquisitions that map parameters reflecting tissue metabolism and physiology offer considerable potential for improving the yield of diagnostic imaging studies of intra-cranial brain lesions, including better characterization of the type of lesion and increased.
This work demonstrates the potential to use multiparametric MRI to retrieve important information on the tumour microenvironment after radiotherapy. The non-invasiveness of the method also allows longitudinal tumour tissue characterization. Further investigation is warranted to evaluate the parameters highlighted in this study longitudinally.
Pall Mall Medical is working with Consultant Urologic Radiologist, Dr Sanjay Agarwal, who is able to offer the Multi-Parametric MRI scan using our high specification MRI scan. Dr Agarwal will provide a full interpretation of the results and will work with Pall Mall Medical’s Consultant Urologists to arrange treatment plans, where necessary.
Multiparametric Tissue Abnormality Characterization using Manifold Regularization Kayhan Batmanghelich a and Xiaoying Wu a and Evangelia Zacharaki a and Clyde E. Markowitz b and Christos Davatzikos a and Ragini Verma a a Section Of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania b Neurology Department, University of Pennsylvania.