Results 51 to 60 of about 429,194 (230)

Multiparametric Mri in the Management of Prostate Cancer: an Update-A Narrative Review [PDF]

, 2020
The growing interest in multiparametric MRI is leading to important changes in the diagnostic process of prostate cancer. MRI-targeted biopsy is likely to become a standard for the diagnosis of prostate cancer in the next years.
Manna C., Filippo M. D., Ziglioli F., Maestroni U., Greco V., Negrini G., Granelli G., Pagnini F.   +7 more
core   +1 more source

3T multiparametric MRI’s accuracy in detecting prostate cancer using Prostate Imaging Reporting and Data System (PIRADS) version 2.1 with prostate biopsy as a reference

The Egyptian Journal of Radiology and Nuclear Medicine
Background Multiparametric magnetic resonance imaging (MRI) is valuable in detecting prostate cancer due to its high sensitivity to malignant lesions.
Mohammad Abdullah Dhulaimi, Moroj Ahmad Aldarmasi, Areen Ghazi Almasri, Syed Mohammad Mosharraf   +3 more
doaj   +1 more source

Prostatic intraepithelial neoplasia-like ductal prostatic adenocarcinoma: A case suitable for active surveillance?

Urology Annals, 2017
In contrast to typical prostatic ductal adenocarcinoma, prostatic intraepithelial neoplasia (PIN)-like ductal adenocarcinoma is a rare variant of prostate cancer with low-grade clinical behavior.
Soroush Rais-Bahrami, Melissa R Dillard, Grace G Zhu, Jennifer B Gordetsky   +3 more
doaj   +1 more source

Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Arterial Enhancement Fraction Derived From Dual‐Layer Spectral CT

Head &Neck, EarlyView.
ABSTRACT Objective To evaluate the diagnostic value of arterial enhancement fraction (AEF) derived from dual‐layer detector spectral CT (DLCT) in preoperative assessment of cervical lymph node metastasis in patients with papillary thyroid carcinoma (PTC), and to compare its performance with other spectral CT quantitative parameters and conventional CT ...
Lili Ye, Xiangfa He, Ming Liang, Yuxin Wei, Hao Zhang, Xiaomin Liu, Xiaolin Zheng   +6 more
wiley   +1 more source

Human biomarker navigator

iMeta, EarlyView.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li, Qian Zhang, Zijie Wang, Zeping Gui, Jing Liu, Jingda Li, Maojun Jiang, Zukang Chang, Qingqing Han, Bendong Yang, Tariq Saeed, Jun Li, Jinghan Jia, Chenghu Song, Tong Shao, Tianhuan Peng, Xueying Zhang, Pingping Guo, Jun Luo, Gangao Yang, Yuan Wan, Gokhan Zengin, Quan Yuan, Lingru Li, Xiaohui Fan, Yang Luo, Lvyun Zhu, Yanfei Zheng, Wenjun Mao, Wenlong Sun   +29 more
wiley   +1 more source

[Multiparametric MRI for prostate cancer screening] [PDF]

, 2009
Contains fulltext : 79762.pdf (Publisher’s version ) (Open Access)Two recent studies on prostate cancer screening gave conflicting results about the effects of screening on prostate cancer mortality.
Huisman, H.J., Oort, I.M. van, Barentsz, J.O., Futterer, J.J., Hoeks, C.M.A., Somford, D.M.   +5 more
core  

SubDIVIDE: Efficient tensor‐valued diffusion magnetic resonance imaging via joint diffusional variance decomposition modeling and subspace reconstruction

Journal of Intelligent Medicine, EarlyView.
SubDIVIDE integrates a physics‐consistent DIVIDE subspace directly into MRI reconstruction. By embedding a low‐rank basis derived from a large DIVIDE signal dictionary into a joint ADMM optimization—together with composite sensitivity maps that absorb inter‐b‐value phase errors—the framework recovers quantitative microstructural maps from highly ...
Cheng Yang, Jingguo Yan, Zihan Zhou, Zhong Xue, Qiuyun Fan   +4 more
wiley   +1 more source

Monitoring brain tumor evolution using multiparametric MRI [PDF]

, 2017
International audienceAnalysing brain tumor tissue composition can improve the handling of tumor growth and resistance to therapies. We show on a 6 time point dataset of 8 rats that multiparametric MRI can be exploited via statistical clustering to ...
Lemasson, Benjamin, Arnaud, Alexis, Collomb, Nora, Forbes, Florence, Barbier, Emmanuel, L.   +4 more
core   +1 more source

Feature selection from magnetic resonance imaging data in ALS: a systematic review

Therapeutic Advances in Chronic Disease, 2021
Background: With the advances in neuroimaging in amyotrophic lateral sclerosis (ALS), it has been speculated that multiparametric magnetic resonance imaging (MRI) is capable to contribute to early diagnosis.
Thomas D. Kocar, Hans-Peter Müller, Albert C. Ludolph, Jan Kassubek   +3 more
doaj   +1 more source

Magnetic resonance imaging and the development of vascular targeted treatments for cancer. [PDF]

, 2005
The main subject of the work presented in this thesis is the further development of magnetic resonance imaging (MRI) as a non-invasive method of investigating tumour microcirculation. Two different MR techniques were used: dynamic contrast enhanced (DCE)-
Lankester, K.J.
core