Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes

Objectives. To evaluate the predictive performance of a newly developed delay alternating with nutation for tailored excitation (DANTE) pulse sequence for detecting lower extremity artery wall morphology and distribution in patients with peripheral artery disease (PAD) with diabetes. Methods. Sevent...

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Main Authors: Li Wang, Wei Deng, Jianke Liang, Weizhao Zhuang, Huigang Feng, Gaoming Zhuang, Dexiang Liu, Hanwei Chen
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2021/5585846
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spelling doaj-b297269915984b9581ce378e9547a3ea2021-05-03T00:01:56ZengHindawi LimitedBioMed Research International2314-61412021-01-01202110.1155/2021/5585846Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with DiabetesLi Wang0Wei Deng1Jianke Liang2Weizhao Zhuang3Huigang Feng4Gaoming Zhuang5Dexiang Liu6Hanwei Chen7Department of RadiologyDepartment of RadiologyDepartment of RadiologyInvasive Technology DepartmentInvasive Technology DepartmentDepartment of RadiologyDepartment of RadiologyInvasive Technology DepartmentObjectives. To evaluate the predictive performance of a newly developed delay alternating with nutation for tailored excitation (DANTE) pulse sequence for detecting lower extremity artery wall morphology and distribution in patients with peripheral artery disease (PAD) with diabetes. Methods. Seventy-four PAD patients diagnosed according to 2011 WHO criteria were enrolled, who has diabetic diagnosis by 1999 WHO diabetes criteria. All patients received sequential DANTE, T2WI, DANTE-enhance, and CE-MRA scans. The images consisted of three parts: the iliac artery (segment 1), femoral artery (segment 2), and popliteal artery (segment 3). Regions of interest (ROIs) were drawn on vessels, muscle, and background, and multiple imaging metrics compared between modalities, including image quality score, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). In the images with a score greater than 2, the lumen area (LA), total vessel area (TVA), and vessel thickness (VT) can be identified using semiautomatic image analysis vessel morphology parameters. Results. All 222 arterial segments were successfully analyzed from 71 patients, after exclusion of three subjects with poor image quality (IQ<2) in segment 3. There were 54 diabetic and 17 nondiabetic patients. Quantitative analysis shows that the CNR difference between diabetic patients and nondiabetic patients was statistically significant for the same segment, while there was no significant difference among the three segments of SNR and CNR. There were a total of 54 diabetics with plaque distribution data, which showed that LA of segments 1 and 2 was higher than that of segment 3. The VWI of segments 1 and 2 was lower than segment 3. Diabetic was associated with vascular WT 3 and WA3, which increased by 0.23 and 0.83 units on average compared without diabetic foot, respectively. Diabetic foot was associated with vascular WT 3, which increased by 0.37 units on average compared without diabetic foot. The incidence of segment 3 plaques was higher than that of segment 1. The incidence of the left and right plaques was different. Conclusions. MR imaging using the DANTE and multicontrast sequence could evaluate plaque morphology, and distribution of lower extremities and the occurrence of diabetic foot development are closely related; it may predict occurrence of PAD with diabetic foot.http://dx.doi.org/10.1155/2021/5585846
collection DOAJ
language English
format Article
sources DOAJ
author Li Wang
Wei Deng
Jianke Liang
Weizhao Zhuang
Huigang Feng
Gaoming Zhuang
Dexiang Liu
Hanwei Chen
spellingShingle Li Wang
Wei Deng
Jianke Liang
Weizhao Zhuang
Huigang Feng
Gaoming Zhuang
Dexiang Liu
Hanwei Chen
Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes
BioMed Research International
author_facet Li Wang
Wei Deng
Jianke Liang
Weizhao Zhuang
Huigang Feng
Gaoming Zhuang
Dexiang Liu
Hanwei Chen
author_sort Li Wang
title Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes
title_short Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes
title_full Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes
title_fullStr Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes
title_full_unstemmed Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes
title_sort detection and prediction of peripheral arterial plaque using vessel wall mr in patients with diabetes
publisher Hindawi Limited
series BioMed Research International
issn 2314-6141
publishDate 2021-01-01
description Objectives. To evaluate the predictive performance of a newly developed delay alternating with nutation for tailored excitation (DANTE) pulse sequence for detecting lower extremity artery wall morphology and distribution in patients with peripheral artery disease (PAD) with diabetes. Methods. Seventy-four PAD patients diagnosed according to 2011 WHO criteria were enrolled, who has diabetic diagnosis by 1999 WHO diabetes criteria. All patients received sequential DANTE, T2WI, DANTE-enhance, and CE-MRA scans. The images consisted of three parts: the iliac artery (segment 1), femoral artery (segment 2), and popliteal artery (segment 3). Regions of interest (ROIs) were drawn on vessels, muscle, and background, and multiple imaging metrics compared between modalities, including image quality score, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). In the images with a score greater than 2, the lumen area (LA), total vessel area (TVA), and vessel thickness (VT) can be identified using semiautomatic image analysis vessel morphology parameters. Results. All 222 arterial segments were successfully analyzed from 71 patients, after exclusion of three subjects with poor image quality (IQ<2) in segment 3. There were 54 diabetic and 17 nondiabetic patients. Quantitative analysis shows that the CNR difference between diabetic patients and nondiabetic patients was statistically significant for the same segment, while there was no significant difference among the three segments of SNR and CNR. There were a total of 54 diabetics with plaque distribution data, which showed that LA of segments 1 and 2 was higher than that of segment 3. The VWI of segments 1 and 2 was lower than segment 3. Diabetic was associated with vascular WT 3 and WA3, which increased by 0.23 and 0.83 units on average compared without diabetic foot, respectively. Diabetic foot was associated with vascular WT 3, which increased by 0.37 units on average compared without diabetic foot. The incidence of segment 3 plaques was higher than that of segment 1. The incidence of the left and right plaques was different. Conclusions. MR imaging using the DANTE and multicontrast sequence could evaluate plaque morphology, and distribution of lower extremities and the occurrence of diabetic foot development are closely related; it may predict occurrence of PAD with diabetic foot.
url http://dx.doi.org/10.1155/2021/5585846
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