نتایج جستجو برای: Prediction MR

تعداد نتایج: 317224  

Abolfazl Razzaghdoust Afshin Sadipour Bahram Mofid Hamid Abdollahi, Mohsen Bakhshandeh Seied Rabi Mahdavi, Shayan Mostafaei

Introduction: Rectal toxicity is a dose limiting issue in prostate cancer radiotherapy. Prediction of these effects may be used to tailor the therapy. The purpose of this work was to develop predictive radiomic models based on clinical, dosimetric and radiomic features extracted from rectal wall magnetic resonance image (MRI).   Materials and Methods: This st...

Journal: :Journal of occupational health 2014
Satoru Ueno Koichi Ikeda Tetsuo Tai

OBJECTIVES An estimation of metabolic rate (MR) is needed to determine wet-bulb globe temperature (WBGT) reference values in order to reduce heat strain in physical workers. The aim of this study was to develop MR prediction equation for younger and older men in hot working environments. METHODS We measured the MR and heart rate (HR) of both younger and older men at ambient temperatures (Ta) ...

2013
Thomas Seifert-Held Thomas Pekar Thomas Gattringer Nicole E. Simmet Hubert Scharnagl Christoph Bocksrucker Christian Lampl Maria K. Storch Tatjana Stojakovic Franz Fazekas

BACKGROUND To evaluate if plasma levels of midregional pro-adrenomedullin (MR-proADM) improve prediction of functional outcome in ischemic stroke. METHODS In 168 consecutive ischemic stroke patients, plasma levels of MR-proADM were measured within 24 hours from symptom onset. Functional outcome was assessed by the modified Rankin Scale (mRS) at 90 days following stroke. Logistic regression, r...

Journal: :Journal of nuclear medicine : official publication, Society of Nuclear Medicine 2016
Yao Wu Wei Yang Lijun Lu Zhentai Lu Liming Zhong Meiyan Huang Yanqiu Feng Qianjin Feng Wufan Chen

Attenuation correction is important for PET reconstruction. In PET/MR, MR intensities are not directly related to attenuation coefficients that are needed in PET imaging. The attenuation coefficient map can be derived from CT images. Therefore, prediction of CT substitutes from MR images is desired for attenuation correction in PET/MR. METHODS This study presents a patch-based method for CT p...

2015
Young-sun Kim Bilgin Keserci Hyo Keun Lim Hyunchul Rhim

Background/introduction With regards to MR-HIFU ablation of uterine fibroids, there have been no screening MR criteria that comprehensively consider multiple influencing factors. The aims of this study was to generate screening MRI-based prediction model for therapeutic responses of MR-guided high-intensity focused ultrasound (MR-HIFU) ablation of uterine fibroids comprehensively considering mu...

Journal: :Diabetes care 2014
Gijs W D Landman Peter R van Dijk Iefke Drion Kornelis J J van Hateren Joachim Struck Klaas H Groenier Rijk O B Gans Henk J G Bilo Stephan J L Bakker Nanne Kleefstra

OBJECTIVE The midregional fragment of proadrenomedullin (MR-proADM) is a marker of endothelial dysfunction and has been associated with a variety of diseases. Our aim was to investigate whether MR-proADM is associated with new-onset albuminuria and cardiovascular (CV) and all-cause mortality in patients with type 2 diabetes treated in primary care. RESEARCH DESIGN AND METHODS Patients with ty...

Journal: :Endocrine journal 2010
Seigo Tachibana Tsukasa Murakami Hitoshi Noguchi Yasushi Noguchi Akiko Nakashima Yufuko Ohyabu Shiro Noguchi

The aim of this study was to demonstrate that the addition of orbital magnetic resonance (MR) imaging can provide improvement in sensitivity of detection of active disease and the prediction of the response to intravenous glucocorticoid therapy (ivGC), over clinical activity score (CAS) alone. A prospective case series was studied at our institution. Forty eight patients were examined by CAS an...

2015
Hongfang ZHOU Jie GUO Xinyi WANG Guorong ZHANG Xuehan ZHAO

To solve the problem of user trajectory prediction in the mobile communication environment, we proposed a self-adaptive trajectory prediction method (ATPDC) based on density clustering. And it consists of two stages which are trajectory modeling stage and trajectory updating stage respectively. In the first stage, it constructs the user trajectory prediction model by clustering historical traje...

Journal: :Procedia Computer Science 2018

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