Non-invasive Amide Proton Transfer Imaging and ZOOM Diffusion-Weighted Imaging in Differentiating Benign and Malignant Thyroid Micronodules
Background: Pre-operative non-invasive differentiation of benign and malignant thyroid nodules is difficult for doctors. This study aims to determine whether amide proton transfer (APT) imaging and zonally oblique multi-slice (ZOOM) diffusion-weighted imaging (DWI) can provide increased accuracy in...
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2018-12-01
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doaj-7ac99ee5023846f188c073608a1a49e62020-11-24T22:24:41ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922018-12-01910.3389/fendo.2018.00747426460Non-invasive Amide Proton Transfer Imaging and ZOOM Diffusion-Weighted Imaging in Differentiating Benign and Malignant Thyroid MicronodulesRuijian Liu0Guihuang Jiang1Peng Gao2Guoming Li3Linghui Nie4Jianhao Yan5Min Jiang6Renpeng Duan7Yue Zhao8Jinxian Luo9Yi Yin10Cheng Li11Cheng Li12Department of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, ChinaGuangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, ChinaDepartment of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, ChinaGuangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Guangzhou, ChinaBackground: Pre-operative non-invasive differentiation of benign and malignant thyroid nodules is difficult for doctors. This study aims to determine whether amide proton transfer (APT) imaging and zonally oblique multi-slice (ZOOM) diffusion-weighted imaging (DWI) can provide increased accuracy in differentiating benign and malignant thyroid nodules.Methods: This retrospective study was approved by the institutional review board and included 60 thyroid nodules in 50 patients. All of the nodules were classified as malignant (n = 21) or benign (n = 39) based on pathology. It was meaningful to analyze the APT and apparent diffusion coefficient (ADC) values of the two groups by independent t-test to identify the benign and malignant thyroid nodules. The relationship between APT and ZOOM DWI was explored through Pearson correlation analysis. The diagnostic efficacy of APT and ZOOM DWI in determining if thyroid nodules were benign or malignant was compared using receiver operating characteristic (ROC) curve analysis.Results: The mean APTw value of the benign nodules was 2.99 ± 0.79, while that of the malignant nodules was 2.14 ± 0.73. Additionally, there was a significant difference in the APTw values of the two groups (P < 0.05). The mean ADC value of the benign nodules was 1.84 ± 0.41, and was significantly different from that of the malignant nodules, which was 1.21 ± 0.19 (P < 0.05). Scatter point and Pearson test showed a moderate positive correlation between the APT and ADC values (P < 0.05). The ROC curve showed that the area under the curve (AUC) value of ZOOM DWI (AUC = 0.937) was greater than that of APT (AUC = 0.783) (P = 0.028).Conclusion: APT and ZOOM DWI imaging improved the accuracy of distinguishing between benign and malignant thyroid nodules. ZOOM DWI is superior to APTw imaging (Z = 2.198, P < 0.05).https://www.frontiersin.org/article/10.3389/fendo.2018.00747/fullthyroid nodulediagnosismagnetic resonance imaging (MRI)amide proton transfer (APT)diffusion-weighted imaging (DWI) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ruijian Liu Guihuang Jiang Peng Gao Guoming Li Linghui Nie Jianhao Yan Min Jiang Renpeng Duan Yue Zhao Jinxian Luo Yi Yin Cheng Li Cheng Li |
spellingShingle |
Ruijian Liu Guihuang Jiang Peng Gao Guoming Li Linghui Nie Jianhao Yan Min Jiang Renpeng Duan Yue Zhao Jinxian Luo Yi Yin Cheng Li Cheng Li Non-invasive Amide Proton Transfer Imaging and ZOOM Diffusion-Weighted Imaging in Differentiating Benign and Malignant Thyroid Micronodules Frontiers in Endocrinology thyroid nodule diagnosis magnetic resonance imaging (MRI) amide proton transfer (APT) diffusion-weighted imaging (DWI) |
author_facet |
Ruijian Liu Guihuang Jiang Peng Gao Guoming Li Linghui Nie Jianhao Yan Min Jiang Renpeng Duan Yue Zhao Jinxian Luo Yi Yin Cheng Li Cheng Li |
author_sort |
Ruijian Liu |
title |
Non-invasive Amide Proton Transfer Imaging and ZOOM Diffusion-Weighted Imaging in Differentiating Benign and Malignant Thyroid Micronodules |
title_short |
Non-invasive Amide Proton Transfer Imaging and ZOOM Diffusion-Weighted Imaging in Differentiating Benign and Malignant Thyroid Micronodules |
title_full |
Non-invasive Amide Proton Transfer Imaging and ZOOM Diffusion-Weighted Imaging in Differentiating Benign and Malignant Thyroid Micronodules |
title_fullStr |
Non-invasive Amide Proton Transfer Imaging and ZOOM Diffusion-Weighted Imaging in Differentiating Benign and Malignant Thyroid Micronodules |
title_full_unstemmed |
Non-invasive Amide Proton Transfer Imaging and ZOOM Diffusion-Weighted Imaging in Differentiating Benign and Malignant Thyroid Micronodules |
title_sort |
non-invasive amide proton transfer imaging and zoom diffusion-weighted imaging in differentiating benign and malignant thyroid micronodules |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Endocrinology |
issn |
1664-2392 |
publishDate |
2018-12-01 |
description |
Background: Pre-operative non-invasive differentiation of benign and malignant thyroid nodules is difficult for doctors. This study aims to determine whether amide proton transfer (APT) imaging and zonally oblique multi-slice (ZOOM) diffusion-weighted imaging (DWI) can provide increased accuracy in differentiating benign and malignant thyroid nodules.Methods: This retrospective study was approved by the institutional review board and included 60 thyroid nodules in 50 patients. All of the nodules were classified as malignant (n = 21) or benign (n = 39) based on pathology. It was meaningful to analyze the APT and apparent diffusion coefficient (ADC) values of the two groups by independent t-test to identify the benign and malignant thyroid nodules. The relationship between APT and ZOOM DWI was explored through Pearson correlation analysis. The diagnostic efficacy of APT and ZOOM DWI in determining if thyroid nodules were benign or malignant was compared using receiver operating characteristic (ROC) curve analysis.Results: The mean APTw value of the benign nodules was 2.99 ± 0.79, while that of the malignant nodules was 2.14 ± 0.73. Additionally, there was a significant difference in the APTw values of the two groups (P < 0.05). The mean ADC value of the benign nodules was 1.84 ± 0.41, and was significantly different from that of the malignant nodules, which was 1.21 ± 0.19 (P < 0.05). Scatter point and Pearson test showed a moderate positive correlation between the APT and ADC values (P < 0.05). The ROC curve showed that the area under the curve (AUC) value of ZOOM DWI (AUC = 0.937) was greater than that of APT (AUC = 0.783) (P = 0.028).Conclusion: APT and ZOOM DWI imaging improved the accuracy of distinguishing between benign and malignant thyroid nodules. ZOOM DWI is superior to APTw imaging (Z = 2.198, P < 0.05). |
topic |
thyroid nodule diagnosis magnetic resonance imaging (MRI) amide proton transfer (APT) diffusion-weighted imaging (DWI) |
url |
https://www.frontiersin.org/article/10.3389/fendo.2018.00747/full |
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