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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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Autores principales: Wang, Li, Deng, Wei, Liang, Jianke, Zhuang, Weizhao, Feng, Huigang, Zhuang, Gaoming, Liu, Dexiang, Chen, Hanwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088372/
https://www.ncbi.nlm.nih.gov/pubmed/31638151
http://dx.doi.org/10.1155/2021/5585846
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author Wang, Li
Deng, Wei
Liang, Jianke
Zhuang, Weizhao
Feng, Huigang
Zhuang, Gaoming
Liu, Dexiang
Chen, Hanwei
author_facet Wang, Li
Deng, Wei
Liang, Jianke
Zhuang, Weizhao
Feng, Huigang
Zhuang, Gaoming
Liu, Dexiang
Chen, Hanwei
author_sort Wang, Li
collection PubMed
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.
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spelling pubmed-80883722021-05-11 Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes Wang, Li Deng, Wei Liang, Jianke Zhuang, Weizhao Feng, Huigang Zhuang, Gaoming Liu, Dexiang Chen, Hanwei Biomed Res Int Research Article 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. Hindawi 2021-04-24 /pmc/articles/PMC8088372/ /pubmed/31638151 http://dx.doi.org/10.1155/2021/5585846 Text en Copyright © 2021 Li Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Li
Deng, Wei
Liang, Jianke
Zhuang, Weizhao
Feng, Huigang
Zhuang, Gaoming
Liu, Dexiang
Chen, Hanwei
Detection and Prediction of Peripheral Arterial Plaque Using Vessel Wall MR in Patients with Diabetes
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088372/
https://www.ncbi.nlm.nih.gov/pubmed/31638151
http://dx.doi.org/10.1155/2021/5585846
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