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Value of diffusion tensor imaging in differentiating malignant from benign parotid gland tumors
Affiliation:1. Centre for Applied Biomedical Engineering Research (CABER), Health Research Institute (HRI), School of Engineering, Bernal Institute, University of Limerick, Lonsdale Building, Limerick, Ireland;2. Department of Radiology, University Hospital Limerick, Ireland;3. Department of Vascular Surgery, University Hospital Limerick, Ireland;1. Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan;2. Department of Diagnostic Imaging and Interventional Radiology, Kyoto Katsura Hospital, 17 Yamada-Hirao, Nishikyo-ku, Kyoto 615-8256, Japan;1. Departments of Diagnostic Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, China;2. Department of Basic Chemicals, School of Medicine, Shaanxi Institute of International Trade & Commerce, Xi''an, 712046, China;1. Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China;2. Center for Brain Imaging Science and Technology, and Center for Innovative and Collaborative Detection and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310027, China;3. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China;1. Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, 890-8544, Japan;2. Department of Human Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, 890-8544, Japan;3. Department of Radiology, Koseiren Hospital, 22-25 Tenpozancho, Kagoshima City, 890-0061, Japan;1. Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, 890-8544, Japan;2. MR Application Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052, Erlangen, Germany;3. Siemens Healthcare K.K., 1-11-1 Osaki, Shinagawa City, Tokyo, 141-8644, Japan
Abstract:PurposeTo evaluate whether diffusion tensor imaging (DTI) can be used to differentiate malignant parotid gland tumors from the benign ones.Materials and methodsThe study population comprised 59 parotid gland tumors (24 Warthin’s tumors, 19 pleomorphic adenomas, seven other benign tumors, and nine malignant tumors). Single-shot echo-planar DTI was performed with motion-probing gradients along 30 noncollinear directions (b = 1000 s/mm2) at 3.0 T. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values for benign and malignant tumors were compared using the Mann–Whitney U test. Receiver-operating characteristic (ROC) curve analysis was performed to assess the ability of the ADC and FA values to differentiate malignant tumors from the benign ones.ResultsADC values showed no significant difference between malignant (0.93 ± 0.21 × 10−3 mm2/s) and benign tumors (1.19 ± 0.50 × 10−3 mm2/s) (p = 0.225). FA values of malignant tumors were significantly higher than those of benign tumors (0.26 ± 0.06 vs. 0.17 ± 0.05, p < 0.001). The area under the ROC curve of FA was significantly greater than that under the curve of ADC (0.884 vs. 0.628, p = 0.010).ConclusionsDTI, particularly FA, can help differentiate malignant parotid gland tumors from the benign ones.
Keywords:Parotid neoplasms  Salivary glands  Magnetic resonance imaging  Diffusion tensor imaging  Diffusion magnetic resonance imaging
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