Angioarchitectural changes in subacute cerebral venous thrombosis. A synchrotron-based micro- and nano-CT study

Stolz, Erwin; Yeniguen, Mesut; Kreisel, Melanie; Kampschulte, Marian; Doenges, Simone; Sedding, Daniel; Ritman, Erik L.; Gerriets, Tibo; Langheinrich, Alexander C.

doi:10.1016/j.neuroimage.2010.10.056

Cited by 36 publications

(24 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can regulate vascular smooth muscle cell migration and also play very important physiological roles in the processes of tumor malignancy, insulin resistance, obesity, inflammatory reactions, venous endothelial cell apoptosis, blood vessel aging damage, and atherosclerosis (Stolz et al, 2011). Some studies have found that Serpine 1 is overexpressed significantly in atherosclerosis and following vascular tissue damage, while interleukin-6 expression was decreased in Serpine 1 knockout rats (Jain et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

TGF-β1 and Serpine 1 expression changes in traumatic deep vein thrombosis

Mo¹,

Zhang²,

Ji³

et al. 2015

Genet. Mol. Res.

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

TGF-β1 and Serpine 1 expression changes in traumatic deep vein thrombosis

Mo¹,

Zhang²,

Ji³

et al. 2015

Genet. Mol. Res.

View full text Add to dashboard Cite

“…Assuming square pixels (our case) and the SSS is oriented perpendicular to the imaging plane, based upon geometrical considerations, a ≤ d/(2(2^0.5)) where d = SSS diameter and a = the resolution, would guarantee at least one pixel entirely within the SSS. Recent optical [19] and CT [20] studies have measured the SSS diameter to be ~ 700 – 750 μm. Our resolution of 500 μm is larger than optimum, but the criteria can be relaxed.…”

Section: Discussionmentioning

confidence: 99%

MRI measurement of blood–brain barrier transport with a rapid acquisition refocused echo (RARE) method

Walton

Anderson

et al. 2015

Biochemical and Biophysical Research Communications

View full text Add to dashboard Cite

Dynamic Contrast Enhanced (DCE) MRI is increasingly being used to assess changes in capillary permeability. Most quantitative techniques used to measure capillary permeability are based on the Fick equation that requires measurement of signal reflecting both plasma and tissue concentrations of the solute being tested. To date, most Magnetic Resonance Imaging (MRI) methods for acquiring appropriate data quickly rely on gradient recalled echo (GRE) type acquisitions, which work well in clinical low field settings. However, acquiring this type of data on high field small animal preclinical MRIs is problematic due to geometrical distortions from susceptibility mismatch. This problem can be exacerbated when using small animal models to measure blood brain barrier (BBB) permeability, where precise sampling from the superior sagittal sinus (SSS) is commonly used to determine the plasma concentration of the contrast agent. Here we present results demonstrating that a standard saturation recovery rapid acquisition refocused echo (RARE) method is capable of acquiring T1 maps with good spatial and temporal resolution for Patlak analysis (Patlak, 1983) to assess changes in BBB Gd-DTPA permeability following middle cerebral artery occlusion with reperfusion in the rat. This method limits known problems with magnetic susceptibility mismatch and may thus allow greater accuracy in BBB permeability measurement in small animals.

show abstract

“…Different vascular parameters have been used to quantify the vascular networks, but they are calculated with a great discrepancy in imaging resolutions [29,37], which makes the comparison of their results meaningless. In this paper, we attempt to analyze the sensitivity of vascular parameters for the multiple resolutions, in order to provide guidance for the quantitative study with different resolutions.…”

Section: Sensitivity Analysis Of Vascular Parametersmentioning

confidence: 99%

“…Although morphological and topological parameters have been applied to the quantification of vascular networks in various biomedical applications, they were calculated with a wide range of image resolutions from 900 nm [29] to 188 μm [37], whose results and conclusions are difficult for comparison. In [6], vascular parameters (including vascular volume, connectivity, number, thickness, separation and degree of anisotropy) were compared at a resolution of 16, 20, 30 and 36 μm.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution

Zhao

Liang

Chen

et al. 2015

Med Biol Eng Comput

View full text Add to dashboard Cite

Previous studies showed that all the vascular parameters from both the morphological and topological parameters were affected with the altering of imaging resolutions. However, neither the sensitivity analysis of the vascular parameters at multiple resolutions nor the distinguishability estimation of vascular parameters from different data groups has been discussed. In this paper, we proposed a quantitative analysis method of vascular parameters for vascular networks of multi-resolution, by analyzing the sensitivity of vascular parameters at multiple resolutions and estimating the distinguishability of vascular parameters from different data groups. Combining the sensitivity and distinguishability, we designed a hybrid formulation to estimate the integrated performance of vascular parameters in a multi-resolution framework. Among the vascular parameters, degree of anisotropy and junction degree were two insensitive parameters that were nearly irrelevant with resolution degradation; vascular area, connectivity density, vascular length, vascular junction and segment number were five parameters that could better distinguish the vascular networks from different groups and abide by the ground truth. Vascular area, connectivity density, vascular length and segment number not only were insensitive to multi-resolution but could also better distinguish vascular networks from different groups, which provided guidance for the quantification of the vascular networks in multi-resolution frameworks.

show abstract

Angioarchitectural changes in subacute cerebral venous thrombosis. A synchrotron-based micro- and nano-CT study

Cited by 36 publications

References 20 publications

TGF-β1 and Serpine 1 expression changes in traumatic deep vein thrombosis

TGF-β1 and Serpine 1 expression changes in traumatic deep vein thrombosis

MRI measurement of blood–brain barrier transport with a rapid acquisition refocused echo (RARE) method

Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution

Contact Info

Product

Resources

About