scholarly journals Additional diagnostic value of Diffusion-Weighted Magnetic Resonance Imaging to conventional Magnetic Resonance Imaging in local staging of primary uterine cervical cancer

2019 ◽  
Author(s):  
Hulya Aslan ◽  
Nefise Cagla Tarhan ◽  
Mehmet Coskun ◽  
Asuman Nihan Haberal ◽  
Ali Ayhan
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cervical Cancer ◽  
Magnetic Resonance ◽  
Diagnostic Value ◽  
Uterine Cervical Cancer ◽  
Conventional Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Conventional Magnetic Resonance ◽  
Local Staging ◽  
Weighted Magnetic Resonance Imaging

scholarly journals Diagnostic Value of Combined Intravoxel Incoherent Motion Diffusion-Weighted Magnetic Resonance Imaging with Diffusion Tensor Imaging in Predicting Parametrial Infiltration in Cervical Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Ting-Ting Lin ◽  
Xin-Xiang Li ◽  
Wei-Fu Lv ◽  
Jiang-Ning Dong ◽  
Chao Wei ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cervical Cancer ◽  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Diagnostic Value ◽  
Intravoxel Incoherent Motion ◽  
Resonance Imaging ◽  
Diffusion Weighted ◽  
Weighted Magnetic Resonance Imaging

Objective. This study sought to determine the diagnostic value of combined intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) with diffusion tensor imaging (DTI) in predicting parametrial infiltration (PMI) in patients with cervical cancer. Materials and Methods. We enrolled 65 patients with cervical cancer confirmed by radical hysterectomy (25 PMI-negative and 40 PMI-positive) who underwent IVIM and DTI pretreatment. The parameters of IVIM (ADC, D, D   ∗ , and f) and DTI (average diffusion coefficient (DCavg) and fractional anisotropy (FA)) were recorded by two observers. All parameter differences were tested, and the receiver operating characteristic (ROC) curves were generated to estimate the diagnostic performance of significant metrics and their combinations. Results. Compared to the PMI-negative group, the PMI-positive group had significantly lower D (0.632 ± 0.017 vs. 0.773 ± 0.024, p < 0.001 ) and lower FA (0.073 ± 0.002 vs. 0.085 ± 0.003, p = 0.003 ). The area under the ROC curve (AUC) of D and FA was 0.801 and 0.726, respectively, and the combination of D and FA improved the AUC to 0.931, with a sensitivity and specificity of 80.0% and 97.5%, respectively. Conclusion. D and FA values could be used to help diagnose PMI in patients with cervical cancer. The combination of IVIM and DTI was more valuable than either option alone.

Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing–remitting multiple sclerosis

2012 ◽  
Vol 18 (11) ◽  
pp. 1585-1591 ◽  
Author(s):  
Delphine Wybrecht ◽  
Françoise Reuter ◽  
Wafaa Zaaraoui ◽  
Anthony Faivre ◽  
Lydie Crespy ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Physical Disability ◽  
Conventional Magnetic Resonance Imaging ◽  
Global Approach ◽  
Resonance Imaging ◽  
Conventional Magnetic Resonance ◽  
Magnetic Resonance Imaging Mri ◽  
Mri Changes

Background: The ability of conventional magnetic resonance imaging (MRI) to predict subsequent physical disability and cognitive deterioration after a clinically isolated syndrome (CIS) is weak. Objectives: We aimed to investigate whether conventional MRI changes over 1 year could predict cognitive and physical disability 5 years later in CIS. We performed analyses using a global approach (T2 lesion load, number of T2 lesions), but also a topographic approach. Methods: This study included 38 patients with a CIS. At inclusion, 10 out of 38 patients fulfilled the 2010 revised McDonald’s criteria for the diagnosis of multiple sclerosis. Expanded Disability Status Scale (EDSS) evaluation was performed at baseline, year 1 and year 5, and cognitive evaluation at baseline and year 5. T2-weighted MRI was performed at baseline and year 1. We used voxelwise analysis to analyse the predictive value of lesions location for subsequent disability. Results: Using the global approach, no correlation was found between MRI and clinical data. The occurrence or growth of new lesions in the brainstem was correlated with EDSS changes over the 5 years of follow-up. The occurrence or growth of new lesions in cerebellum, thalami, corpus callosum and frontal lobes over 1 year was correlated with cognitive impairment at 5 years. Conclusion: The assessment of lesion location at the first stage of multiple sclerosis may be of value to predict future clinical disability.

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