The Application of Dynamic Contrast-Enhanced MRI and Diffusion-Weighted MRI in Patients with Maxillofacial Tumors

被引:27
作者
Kitamoto, Erina [1 ]
Chikui, Toru [1 ]
Kawano, Shintaro [2 ]
Ohga, Masahiro
Kobayashi, Kouji [3 ]
Matsuo, Yoshio [4 ]
Yoshiura, Takashi [4 ]
Obara, Makoto
Honda, Hiroshi [4 ]
Yoshiura, Kazunori [1 ]
机构
[1] Kyushu Univ, Fac Dent Sci, Dept Oral & Maxillofacial Radiol, Higashi Ku, Fukuoka 8128582, Japan
[2] Kyushu Univ, Fac Dent Sci, Sect Oral & Maxillofacial Oncol, Div Maxillofacial Diagnost & Surg Sci, Fukuoka 8128582, Japan
[3] Kyushu Univ Hosp, Dept Med Technol, Fukuoka 812, Japan
[4] Kyushu Univ, Dept Clin Radiol, Grad Sch Med Sci, Fukuoka 8128582, Japan
关键词
DCE-MRI; TIC; ADC; pharmacokinetic analyses; TK model; head and neck tumor; SALIVARY-GLAND TUMORS; DIAGNOSTIC-VALUE; DCE-MRI; MALIGNANT-LYMPHOMA; KINETIC-PARAMETERS; HEAD; PERMEABILITY; BENIGN; TRACER; CANCER;
D O I
10.1016/j.acra.2014.08.016
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Rationale and Objectives: To elucidate the characteristics of four types of tumors, including squamous cell carcinoma (SCC), malignant lymphoma (ML), malignant salivary gland tumors (MSGTs), and pleomorphic adenoma (Pleo), in the maxillofacial region using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted MRI (DW-MRI) data. Materials and Methods: A total of 59 tumors were included in this research. DCE-MRI and DW-MRI were performed. We applied the Toffs and Kermode model (TK model) for the DCE-MRI data and obtained three dependent parameters: the influx forward volume transfer constant into the extravascular extracellular space from the plasma (K-trans), the fractional volume of extravascular extracellular space per unit volume of tissue (v(e)), and the fractional volume of plasma (v(p)). Results: Among the K-trans values, there were no significant differences between the three types of malignant tumors; however, there was a significant difference between the SCC and Pleo (P =.0099). The ve values of the Pleo were highest, with significant differences compared to the other categories (SCC, P = .0012; ML, P = .0017; and MSGT, P = .041). The ML had the lowest ve values, and there were significant differences between ML and the other two types of malignant tumors (SCC, P = .0278 and MSGT, P = .0062). In 14 (24%) cases, apparent diffusion coefficient (ADC) could not be measured because of poor image quality. The ADC values of the ML. were lowest, whereas those of Pleo were highest, similar to that observed for V-e. Conclusions: The Pleo tumors had lower K-trans values and higher v(e) values, which are useful for differentiating them from the malignant tumors. Moreover, the v(e) was also useful for establishing a diagnosis of ML.
引用
收藏
页码:210 / 216
页数:7
相关论文
共 50 条
  • [41] Assessment of Treatment Response With Diffusion-Weighted MRI and Dynamic Contrast-Enhanced MRI in Patients With Early-Stage Breast Cancer Treated With Single-Dose Preoperative Radiotherapy: Initial Results
    Wang, Chunhao
    Horton, Janet K.
    Yin, Fang-Fang
    Chang, Zheng
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2016, 15 (05) : 651 - 660
  • [42] Quantitative dynamic contrast-enhanced MRI and readout segmentation of long variable echo-trains diffusion-weighted imaging in differentiating parotid gland tumors
    Nan Huang
    Zebin Xiao
    Yu Chen
    Dejun She
    Wei Guo
    Xiefeng Yang
    Qi Chen
    Dairong Cao
    Tanhui Chen
    Neuroradiology, 2021, 63 : 1709 - 1719
  • [43] Uncertainty estimation in dynamic contrast-enhanced MRI
    Garpebring, Anders
    Brynolfsson, Patrik
    Yu, Jun
    Wirestam, Ronnie
    Johansson, Adam
    Asklund, Thomas
    Karlsson, Mikael
    MAGNETIC RESONANCE IN MEDICINE, 2013, 69 (04) : 992 - 1002
  • [44] The diagnostic value of dynamic contrast-enhanced MRI for thyroid tumors
    Yuan, Ying
    Yue, Xiu-Hui
    Tao, Xiao-Feng
    EUROPEAN JOURNAL OF RADIOLOGY, 2012, 81 (11) : 3313 - 3318
  • [45] Classic models for dynamic contrast-enhanced MRI
    Sourbron, Steven P.
    Buckley, David L.
    NMR IN BIOMEDICINE, 2013, 26 (08) : 1004 - 1027
  • [46] Combined diffusion-weighted imaging and dynamic contrast-enhanced MRI for differentiating radiologically indeterminate malignant from benign orbital masses
    Xu, X. -Q.
    Qian, W.
    Ma, G.
    Hu, H.
    Su, G. -Y.
    Liu, H.
    Shi, H. -B.
    Wu, F. -Y.
    CLINICAL RADIOLOGY, 2017, 72 (10) : 903.e9 - 903.e15
  • [47] Dynamic contrast-enhanced MRI of ocular melanoma
    Jiang, Xuyuan
    Asbach, Patrick
    Willerding, Gregor
    Dulce, Miriam
    Xu, Ke
    Taupitz, Matthias
    Hamm, Bernd
    Erb-Eigner, Katharina
    MELANOMA RESEARCH, 2015, 25 (02) : 149 - 156
  • [48] Preoperative prediction of Ki-67 status in invasive breast carcinoma using dynamic contrast-enhanced MRI, diffusion-weighted imaging and diffusion tensor imaging
    EL-Metwally, Dina
    Monier, Dalia
    Hassan, Amany
    Helal, Amira Mohamed
    EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2023, 54 (01)
  • [49] Pretreatment Diffusion-Weighted and Dynamic Contrast-Enhanced MRI for Prediction of Local Treatment Response in Squamous Cell Carcinomas of the Head and Neck
    Chawla, Sanjeev
    Kim, Sungheon
    Dougherty, Lawrence
    Wang, Sumei
    Loevner, Laurie A.
    Quon, Harry
    Poptani, Harish
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2013, 200 (01) : 35 - 43
  • [50] Comparison of Dynamic Contrast-Enhanced MRI and Dynamic Contrast-Enhanced CT Biomarkers in Bladder Cancer
    Naish, J. H.
    McGrath, D. M.
    Bains, L. J.
    Passera, K.
    Roberts, C.
    Watson, Y.
    Cheung, S.
    Taylor, M. B.
    Logue, J. P.
    Buckley, D. L.
    Tessier, J.
    Young, H.
    Waterton, J. C.
    Parker, G. J. M.
    MAGNETIC RESONANCE IN MEDICINE, 2011, 66 (01) : 219 - 226