The Relationship of Carotid Three-Dimensional Ultrasound Vessel Wall Volume with Age and Sex: Comparison to Carotid Intima-Media Thickness

Buchanan, Daniel; Lindenmaier, Tamas J; McKay, Shayna; Bureau, Y; Hackam, Daniel G.; Fenster, Aaron; Párraga, Grace

doi:10.1016/j.ultrasmedbio.2012.02.013

Cited by 10 publications

(13 citation statements)

References 34 publications

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“…It is also worth noting that there were significant linear correlations for male and female measurements when considered independently. These findings strengthen the conclusions derived from previous work [24] where a significant but weak correlation for TPV and VWV was observed in females.…”

Section: Discussionsupporting

confidence: 92%

“…These results were similar to previous findings in different patient populations [24] and suggest that changes in IMT and TPA explain some of the variability in carotid TPV and VWW. This is not unexpected because TPV is in essence a 3D TPA measurement and VWV is essentially a 3D IMT + plaque measurement.…”

Section: Discussionsupporting

confidence: 92%

“…Carotid artery 3DUS was acquired with a high resolution B-mode ultrasound system (ATL HDI 5000; Philips, Bothel, WA, USA) and an 8.5 MHz transducer (Philips) at the Stroke Prevention & Atherosclerosis Research Centre in London, Canada as previously described [24]. To briefly summarize, the US transducer was manually placed on the neck and then moved along a 5 cm section of the neck mechanically, acquiring a series of 2D images that were reconstructed into a 3D volume.…”

Section: Methodsmentioning

confidence: 99%

“…Briefly, the media-adventitia boundary (MAB) and the lumen-intima boundary (LIB) were manually segmented in 11 slices of the CCA and 6 slices of the ICA with an inter-slice distance of 1 mm [24]. Using the inter-slice distance and the areas enclosed by the MAB and LIB in each slice, the volumes between slices were calculated.…”

Section: Methodsmentioning

confidence: 99%

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One, two and three-dimensional ultrasound measurements of carotid atherosclerosis before and after cardiac rehabilitation: preliminary results of a randomized controlled trial

Lindenmaier

Buchanan

Pike

et al. 2013

Cardiovasc Ultrasound

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BackgroundIt is still not known how patients who are post-transient ischemic attack (TIA) or post-stroke might benefit from prospectively planned comprehensive cardiac rehabilitation (CCR). In this pilot evaluation of a larger ongoing randomized-controlled-trial, we evaluated ultrasound (US) measurements of carotid atherosclerosis in subjects following TIA or mild non-disabling stroke and their relationship with risk factors before and after 6-months of CCR.MethodsCarotid ultrasound (US) measurements of one-dimensional intima-media-thickness (IMT), two-dimensional total-plaque-area (TPA), three-dimensional total-plaque-volume (TPV) and vessel-wall-volume (VWV) were acquired before and after 6-months CCR for 39 subjects who had previously experienced a TIA and provided written informed consent to participate in this randomized controlled trial. We maintained blinding for this ongoing study by representing treatment and control groups as A or B, although we did not identify which of A or B was treatment or control. Carotid IMT, TPA, TPV and VWV were measured before and after CCR as were changes in body mass index (BMI), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), systolic blood pressure (SBP) and diastolic blood pressure (DBP).ResultsThere were no significant differences in US measurements or risk factors between groups A and B. There was no significant change in carotid ultrasound measurements for group A (IMT, p = .728; TPA, p = .629; TPV, p = .674; VWV, p = .507) or B (IMT, p = .054; TPA, p = .567; TPV, p = .773; VWV, p = .431) at the end of CCR. There were significant but weak-to-moderate correlations between IMT and VWV (r = 0.25, p = .01), IMT and TPV (r = 0.21, p = .01), TPV and TPA (r = 0.60, p < .0001) and VWV and TPV (r = 0.22, p = .02). Subjects with improved TC/HDL ratios showed improved carotid VWV although, this was not statistically significant.ConclusionIn this preliminary evaluation, there were no significant differences in carotid US measurements in the control or CCR group; a larger sample size and/or longer duration is required to detect significant changes in US or other risk factor measurements.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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One, two and three-dimensional ultrasound measurements of carotid atherosclerosis before and after cardiac rehabilitation: preliminary results of a randomized controlled trial

Lindenmaier

Buchanan

Pike

et al. 2013

Cardiovasc Ultrasound

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“…Similarly, multivariate regression models that controlled for cardiovascular and pulmonary disease risk factors showed that VDP is a signifi cant predictor of carotid artery IMT, VWV and TPV. It is also important to note that carotid TPV and VWV provide measurements of intima echogenic (TPV and VWV) and echolucent (VWV) plaque (38,57,58). Hence, these relationships between VDP and IMT, VWV and TPV suggest that in this relatively small group of never-and ex-smokers, mild, subclinical airways disease may be related to carotid plaque burden and wall thickening.…”

Section: Copd Downloaded From Informahealthcarecom By University Of mentioning

confidence: 99%

Pulmonary Abnormalities and Carotid Atherosclerosis in Ex-Smokers without Airflow Limitation

Pike

Kirby

Lindenmaier

et al. 2014

COPD: Journal of Chronic Obstructive Pulmonary Disease

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It is well-established that COPD patients have a burden of vascular disease that cannot be fully-explained by smoking history but the mechanistic links between atherosclerosis and pulmonary disease in COPD patients are not well-understood. Moreover, in ex-smokers without symptoms or other evidence of COPD, subclinical pulmonary and vascular disease, although potentially present, has not been described or evaluated. Hence our aim was to use sensitive three-dimensional (3D) pulmonary and carotid imaging to quantify pulmonary airway/parenchyma abnormalities and atherosclerosis in ex-smokers without airfl ow limitation or symptoms consistent with COPD. We evaluated 61 subjects without airfl ow limitation including 34 never-(72 ؎ 6 years) and 27 ex-smokers (73 ؎ 9 years), who provided written informed consent to spirometry, plethysmography,

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Deep learning‐based carotid media‐adventitia and lumen‐intima boundary segmentation from three‐dimensional ultrasound images

et al. 2019

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PurposeQuantification of carotid plaques has been shown to be important for assessing as well as monitoring the progression and regression of carotid atherosclerosis. Various metrics have been proposed and methods of measurements ranging from manual tracing to automated segmentations have also been investigated. Of those metrics, quantification of carotid plaques by measuring vessel‐wall‐volume (VWV) using the segmented media‐adventitia (MAB) and lumen‐intima (LIB) boundaries has been shown to be sensitive to temporal changes in carotid plaque burden. Thus, semi‐automatic MAB and LIB segmentation methods are required to help generate VWV measurements with high accuracy and less user interaction.MethodsIn this paper, we propose a semiautomatic segmentation method based on deep learning to segment the MAB and LIB from carotid three‐dimensional ultrasound (3DUS) images. For the MAB segmentation, we convert the segmentation problem to a pixel‐by‐pixel classification problem. A dynamic convolutional neural network (Dynamic CNN) is proposed to classify the patches generated by sliding a window along the norm line of the initial contour where the CNN model is fine‐tuned dynamically in each test task. The LIB is segmented by applying a region‐of‐interest of carotid images to a U‐Net model, which allows the network to be trained end‐to‐end for pixel‐wise classification.ResultsA total of 144 3DUS images were used in this development, and a threefold cross‐validation technique was used for evaluation of the proposed algorithm. The proposed algorithm‐generated accuracy was significantly higher than the previous methods but with less user interactions. Comparing the algorithm segmentation results with manual segmentations by an expert showed that the average Dice similarity coefficients (DSC) were 96.46 ± 2.22% and 92.84 ± 4.46% for the MAB and LIB, respectively, while only an average of 34 s (vs 1.13, 2.8 and 4.4 min in previous methods) was required to segment a 3DUS image. The interobserver experiment indicated that the DSC was 96.14 ± 1.87% between algorithm‐generated MAB contours of two observers' initialization.ConclusionsOur results showed that the proposed carotid plaque segmentation method obtains high accuracy and repeatability with less user interactions, suggesting that the method could be used in clinical practice to measure VWV and monitor the progression and regression of carotid plaques.

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The Relationship of Carotid Three-Dimensional Ultrasound Vessel Wall Volume with Age and Sex: Comparison to Carotid Intima-Media Thickness

Cited by 10 publications

References 34 publications

One, two and three-dimensional ultrasound measurements of carotid atherosclerosis before and after cardiac rehabilitation: preliminary results of a randomized controlled trial

One, two and three-dimensional ultrasound measurements of carotid atherosclerosis before and after cardiac rehabilitation: preliminary results of a randomized controlled trial

Pulmonary Abnormalities and Carotid Atherosclerosis in Ex-Smokers without Airflow Limitation

Deep learning‐based carotid media‐adventitia and lumen‐intima boundary segmentation from three‐dimensional ultrasound images

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