Post-ischemic leakiness of the blood–brain barrier: A quantitative and systematic assessment by Patlak plots

Abo‐Ramadan, Usama; Durukan, Aysan; Pitkonen, Miia; Marinković, Ivan; Tatlısumak, Ertuğrul; Pedrono, Eric; Soinne, Lauri; Strbian, Daniel; Tatlısumak, Turgut

doi:10.1016/j.expneurol.2009.06.002

Cited by 59 publications

(54 citation statements)

References 33 publications

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“…Of the 70 included studies, 17 used animals (i.e. rodents (Budde et al, 2012; Abo-Ramadan et al, 2009; Ali et al, 2010; Durukan et al, 2009; Ewing et al, 2003; Ferrier et al, 2007; Nagaraja et al, 2010; Taheri et al, 2009; Hoff et al, 2012; Krueck et al, 1994; Li et al, 2010; Noseworthy and Bray, 2000; Quarles et al, 2012; Aryal et al, 2014; Brandt et al, 2008), apart from one study of beagle dogs (Su et al, 1998) and one of rabbits (Wei et al, 2011)). The sample size was not made available in one of these publications (Ewing et al, 2003).…”

Section: Resultsmentioning

confidence: 99%

“…The mean sample size of the remaining animal studies was 25 animals, with a total number of 417 animals (including 19 healthy controls; 336/417 were rodents). The largest included study involved 113 rats (Abo-Ramadan et al, 2009), whereas two studies used a sample size smaller than ten (Ferrier et al, 2007; Li et al, 2010). …”

Section: Resultsmentioning

confidence: 99%

“…Five publications investigated changes in the BBB caused by induced focal cerebral ischemia in 154/417 animals overall (Abo-Ramadan et al, 2009; Durukan et al, 2009; Ewing et al, 2003; Nagaraja et al, 2010; Taheri et al, 2009). Moreover, one study each focused on the influence of pneumococcal meningitis (Brandt et al, 2008), normal aging (Su et al, 1998), zinc deficiency (Noseworthy and Bray, 2000) or traumatic head injuries (Wei et al, 2011) on the BBB.…”

Section: Resultsmentioning

confidence: 99%

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Assessment of blood–brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review

Heye

Culling

Hernández

et al. 2014

NeuroImage: Clinical

318

277

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There is increasing recognition of the importance of blood–brain barrier (BBB) disruption in aging, dementia, stroke and multiple sclerosis in addition to more commonly-studied pathologies such as tumors. Dynamic contrast-enhanced MRI (DCE-MRI) is a method for studying BBB disruption in vivo. We review pathologies studied, scanning protocols and data analysis procedures to determine the range of available methods and their suitability to different pathologies. We systematically review the existing literature up to February 2014, seeking studies that assessed BBB integrity using T1-weighted DCE-MRI techniques in animals and humans in normal or abnormal brain tissues. The literature search provided 70 studies that were eligible for inclusion, involving 417 animals and 1564 human subjects in total. The pathologies most studied are intracranial neoplasms and acute ischemic strokes. There are large variations in the type of DCE-MRI sequence, the imaging protocols and the contrast agents used. Moreover, studies use a variety of different methods for data analysis, mainly based on model-free measurements and on the Patlak and Tofts models. Consequently, estimated KTrans values varied widely. In conclusion, DCE-MRI is shown to provide valuable information in a large variety of applications, ranging from common applications, such as grading of primary brain tumors, to more recent applications, such as assessment of subtle BBB dysfunction in Alzheimer's disease. Further research is required in order to establish consensus-based recommendations for data acquisition and analysis and, hence, improve inter-study comparability and promote wider use of DCE-MRI.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of blood–brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review

Heye

Culling

Hernández

et al. 2014

NeuroImage: Clinical

318

277

View full text Add to dashboard Cite

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“…However, DCE-MRI and K trans have been confirmed to be good surrogate markers of BBB permeability [19,47,48]. The second limitation is that the volume of hemorrhage was measured at only 1 day, but not at other time points after TBI.…”

Section: Limitationsmentioning

confidence: 99%

Quantification of brain edema and hemorrhage by MRI after experimental traumatic brain injury in rabbits predicts subsequent functional outcome

Wang

et al. 2011

Neurol Sci

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We use multiple MRI modalities to measure cerebral edema and intracerebral hemorrhage quantitatively after TBI in rabbits and to acquire the early prognostic MRI information. Multiple MRI modalities (DCE-MRI, DWI and SWI) were used to assess cerebral edema and intracerebral hemorrhage quantitatively at different time points within a month after TBI in 15 rabbits. The functional outcomes were evaluated at 1 and 30 days after TBI. The relationships between the quantitative MRI information at different time points and functional outcome at 30 days were analyzed. The volume transfer coefficient (K (trans)) in the focal lesion area and the perifocal lesion area at the acute phase correlated with the functional outcome at 30 days (p < 0.05). The apparent diffusion coefficient (ADC) value at 7 days in the focal lesion area correlated with the functional outcome at 30 days (p < 0.01) and had a trend to correlate at 3 days (p = 0.08). In the perifocal lesion area, the ADC values at both acute and subacute phase correlated with the functional outcome at 30 days (p < 0.05). The volume of hemorrhage correlated with functional outcome at 30 days (p < 0.05). The cerebral edema assessed by DCE-MRI (K (trans)) and DWI (ADC) and intracerebral hemorrhage assessed by SWI may have predictive values.

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“…And in the other studies on estimation of BBB leakage, researchers use the different way to calculate permeability than Graphical User Interface (GUI). Researchers are getting information such as ROI and T 1 map benefit from raw MR images [10,11]. In this study, researchers must have further information about medical such as blood brain barrier and stroke.…”

Section: Introductionmentioning

confidence: 99%

An Analysis Tool to Calculate Permeability Based on the Patlak Method

Çetin

2010

J Med Syst

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Strokes are commonly diagnosed by utilizing images obtained from magnetic resonance imaging (MRI) technology. Nowadays, computer software can play a large role in analyzing these images and arriving at diagnoses quickly and accurately. Additionally, this software can reduce workload for medical personnel and lower misdiagnoses. In this paper a flexible permeability calculation tool called PCT based on the Patlak plot method is presented. Using the PCT we can calculate the permeability co-efficient of the Blood-Brain Barrier (BBB) function. The PCT tool offers both manual and automatic options for diagnosing the regions of the brain affected by stroke. Moreover, the PCT tool supports various extensions such as dicom, nifty and analyze.

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Post-ischemic leakiness of the blood–brain barrier: A quantitative and systematic assessment by Patlak plots

Cited by 59 publications

References 33 publications

Assessment of blood–brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review

Assessment of blood–brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review

Quantification of brain edema and hemorrhage by MRI after experimental traumatic brain injury in rabbits predicts subsequent functional outcome

An Analysis Tool to Calculate Permeability Based on the Patlak Method

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