نتایج جستجو برای: grading of mri

تعداد نتایج: 21178436  

Journal: :BMC medical imaging 2016
Xin Zhou Yuan Liu Song Zhou Xiao-Xing Fu Xiao-Long Yu Chang-Lin Fu Bin Zhang Min Dai

BACKGROUND Before performing spine non-fusion surgery that retains the facet joints, choosing an accurate radiographic method to evaluate the degree of facet joint degeneration is extremely important. Therefore, the objective of this study was to determine the accuracy and reliability of different radiographic classifications by analyzing the correlation between radiographic and pathologic grad...

2014
Mohammadreza Soltaninejad Xujiong Ye Guang Yang Nigel M. Allinson Tryphon Lambrou

In this paper a feasibility study of brain MRI dataset classification, using ROIs which have been segmented either manually or through a superpixel based method in conjunction with statistical pattern recognition methods is presented. In our study, 471 extracted ROIs from 21 Brain MRI datasets are used, in order to establish which features distinguish better between three grading classes. Thirt...

2017
Xin Zhang Lin-Feng Yan Yu-Chuan Hu Gang Li Yang Yang Yu Han Ying-Zhi Sun Zhi-Cheng Liu Qiang Tian Zi-Yang Han Le-De Liu Bin-Quan Hu Zi-Yu Qiu Wen Wang Guang-Bin Cui

Current machine learning techniques provide the opportunity to develop noninvasive and automated glioma grading tools, by utilizing quantitative parameters derived from multi-modal magnetic resonance imaging (MRI) data. However, the efficacies of different machine learning methods in glioma grading have not been investigated.A comprehensive comparison of varied machine learning methods in diffe...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه زنجان - دانشکده مهندسی 1392

رشد نامحدود و غیرقابل کنترل سلول¬ها باعث پیداش تومور در مغز می¬شود. اگر تومورهای مغزی به سرعت شناسایی و بطور مناسب درمان نشوند، می¬توانند باعث آسیب مغزی دائم و یا حتی مرگ بیمار شوند. در سال¬های اخیر تصویربرداری تشدید مغناطیسی (mri) نسبت به سایر روش¬های تصویربرداری پزشکی، برای معاینه و تشخیص کمکی تومورهای مغزی بطور گسترده مورد استفاده قرار گرفته است که علاوه بر داشتن کنتراست بالا برای بافت¬های ن...

2017
Jiang-bo Qin Zhenyu Liu Hui Zhang Chen Shen Xiao-chun Wang Yan Tan Shuo Wang Xiao-feng Wu Jie Tian

BACKGROUND Gliomas are the most common primary brain neoplasms. Misdiagnosis occurs in glioma grading due to an overlap in conventional MRI manifestations. The aim of the present study was to evaluate the power of radiomic features based on multiple MRI sequences - T2-Weighted-Imaging-FLAIR (FLAIR), T1-Weighted-Imaging-Contrast-Enhanced (T1-CE), and Apparent Diffusion Coefficient (ADC) map - in...

2010
Lihua Liu Ming Zhang Yuan Wang Min Li

OBJECTIVE To investigate the relationship between the expression level of matrix-metalloproteinases (MMPs) with the pathological grades and MRI characteristics of human gliomas. METHODS Prior pre- and post-contrast enhancement MRI was performed on 31 patients with gliomas, which were confirmed by post-operational pathology. The expression of MMP-2 and MMP-9 were determined by immunohistochemi...

Journal: :The Egyptian Journal of Hospital Medicine 2018

Journal: :Journal of sports sciences 2014
Anna Hallén Jan Ekstrand

This prospective cohort study described return-to-play (RTP) data for different types of muscle injuries in male elite-level football players in Europe. Eighty-nine European professional teams were followed between 2001 and 2013. Team medical staff recorded individual player exposure and time-loss injuries. A total of 17,371 injuries occurred, including 5603 (32%) muscle injuries. From 2007, we...

2016

Since its initial description in 1966 by Dr Donald Gleason, Gleason grading has become the cornerstone in the management of prostate cancer (PCa). With widespread use of Prostate Specific Antigen (PSA) screening and needle core biopsy, the diagnosis and management of PCa have dramatically evolved. In addition, better understanding of the morphological spectrum of prostate cancer and its clinica...

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