ArticleBMC bioinformatics2011
Validation of an arterial tortuosity measure with application to hypertension collection of clinical hypertensive patients.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 34 citations in OpenAlex.
- Quantification of tortuosity and fractal dimension of the lung vessels in pulmonary hypertension patients.PloS one · 2014Trial
- Tortuosity in non-atherosclerotic vascular diseases is associated with age, arterial aneurysms, and hypertension.Orphanet journal of rare diseases · 2024Article
- Arterial Tortuosity Is a Potent Determinant of Safety in Endovascular Therapy for Acute Ischemic Stroke.Stroke (Hoboken, N.J.) · 2024Article
- Modification of cerebrovascular morphologies during different stages of life.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- Evaluation of Brain Tortuosity Measurement for the Automatic Multimodal Classification of Subjects with Alzheimer's Disease.Computational intelligence and neuroscience · 2020Article
- Article
- Digital reconstruction and morphometric analysis of human brain arterial vasculature from magnetic resonance angiography.NeuroImage · 2013Article
- Proceedings of the 2012 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. Introduction.BMC bioinformatics · 2012Article
- Proceedings of the 2011 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference. Introduction.BMC bioinformatics · 2011Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundHypertension may increase tortuosity or twistedness of arteries. We applied a centerline extraction algorithm and tortuosity metric to magnetic resonance angiography (MRA) brain images to quantitatively measure the tortuosity of arterial vessel centerlines. The most commonly used arterial tortuosity measure is the distance factor metric (DFM). This study tested a DFM based measurement's ability to detect increases in arterial tortuosity of hypertensives using existing images. Existing images presented challenges such as different resolutions which may affect the tortuosity measurement, different depths of the area imaged, and different artifacts of imaging that require filtering.
methodsThe stability and accuracy of alternative centerline algorithms was validated in numerically generated models and test brain MRA data. Existing images were gathered from previous studies and clinical medical systems by manually reading electronic medical records to identify hypertensives and negatives. Images of different resolutions were interpolated to similar resolutions. Arterial tortuosity in MRA images was measured from a DFM curve and tested on numerically generated models as well as MRA images from two hypertensive and three negative control populations. Comparisons were made between different resolutions, different filters, hypertensives versus negatives, and different negative controls.
resultsIn tests using numerical models of a simple helix, the measured tortuosity increased as expected with more tightly coiled helices. Interpolation reduced resolution-dependent differences in measured tortuosity. The Korean hypertensive population had significantly higher arterial tortuosity than its corresponding negative control population across multiple arteries. In addition one negative control population of different ethnicity had significantly less arterial tortuosity than the other two.
conclusionsTortuosity can be compared between images of different resolutions by interpolating from lower to higher resolutions. Use of a universal negative control was not possible in this study. The method described here detected elevated arterial tortuosity in a hypertensive population compared to the negative control population and can be used to study this relation in other populations.
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