2017
DOI: 10.1002/jmri.25857
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Quantifying response to intracranial pressure normalization in idiopathic intracranial hypertension via dynamic neuroimaging

Abstract: 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:913-927.

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Cited by 13 publications
(12 citation statements)
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“…While performing an MRI morphometric brain analysis study in patients suffering from type 1 complex regional pain syndrome (CRPS), Zhou et al (2015) serendipitously found a significant enlargement of ChPs compared with controls. The same phenomenon was observed with MRI in patients with idiopathic intracranial hypertension (IIH) (Figure 1A; Lublinsky et al, 2018). Using a different approach based on MRI texture analysis, Chaddad et al (2017) identified ChPs as one of the regions having the most significant differences between patients with autism spectrum disorders (ASD) and controls.…”
Section: Resultssupporting
confidence: 73%
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“…While performing an MRI morphometric brain analysis study in patients suffering from type 1 complex regional pain syndrome (CRPS), Zhou et al (2015) serendipitously found a significant enlargement of ChPs compared with controls. The same phenomenon was observed with MRI in patients with idiopathic intracranial hypertension (IIH) (Figure 1A; Lublinsky et al, 2018). Using a different approach based on MRI texture analysis, Chaddad et al (2017) identified ChPs as one of the regions having the most significant differences between patients with autism spectrum disorders (ASD) and controls.…”
Section: Resultssupporting
confidence: 73%
“…Examples of different clinical imaging techniques available for investigating the involvement of ChPs in brain disorders. (A) 3D reconstruction of ChP located within lateral ventricles space [red, before lumbar puncture (LP), and gray, after LP] in a patient with idiopathic intracranial hypertension (Lublinsky et al, 2018); (B) ChP iron deposition (arrows on hypointense signals) detected by susceptibility-weighted MRI in a patient who had received both ultrasmall superparamagnetic particles of iron oxide (USPIOs) 2 years earlier and multiple blood transfusions since (Daldrup-Link, 2017); (C) signal-time curves extracted in the ChP from dynamic susceptibility contras-enhanced MRI data: the yellow curve represents the mean signal calculated from all the pixels in the ChP volume, while the blue and red curves represent, respectively, the curve with lowest and highest baseline. After first passage of the gadolinium bolus (signal drop), the choroidal signals visually exceed the baseline which indicates gadolinium chelate extravasation into the ChP stroma (Bouzerar et al, 2013); (D) PET/CT images showing the normal ChP uptake of [ 68 Ga]-DOTA-E-[c(RGDfK)] 2 targeting α v β 3 integrin ( This research was originally published in JNM.…”
Section: Resultsmentioning
confidence: 99%
“…Tortuous ON is not an essential diagnostic criteria for IIH in children (17), and while it is unclear if BEH and IIH are indeed analogous conditions, previous pediatric studies of both entities relied on neuroradiologists to determine anatomical deformity. In the current study we used a quantitative structural assessment to accurately identify ON tortuosity, previously implemented successfully in adults with IIH (14). Rarely, isolated non-traumatic elevated ICP and increased pressure across the ON sheath can result in retinal hemorrhage (22) but there is no available data on visual impairments in children with BEH.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, skeletons were combined with the CSF Euclidean distance transform map to estimate subarachnoid space and sulci thicknesses. A semi-automatic method was implemented for ON segmentation based on T2w as previously described (14). In short, a rough manual contour was used to define a region of interest (ROI) containing each ON.…”
Section: Quantification Of Imaging Markersmentioning
confidence: 99%
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