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
  • [21] Prognostication of anaplastic astrocytoma patients: application of contrast leakage information of dynamic susceptibility contrast-enhanced MRI and dynamic contrast-enhanced MRI
    Hee Soo Kim
    Se Lee Kwon
    Seung Hong Choi
    Inpyeong Hwang
    Tae Min Kim
    Chul-Kee Park
    Sung-Hye Park
    Jae-Kyung Won
    Il Han Kim
    Soon Tae Lee
    European Radiology, 2020, 30 : 2171 - 2181
  • [22] Diagnostic value of dynamic contrast-enhanced MRI for submucosal palatal tumors
    Matsuzaki, Hidenobu
    Yanagi, Yoshinobu
    Hara, Marina
    Katase, Naoki
    Hisatomi, Miki
    Unetsubo, Teruhisa
    Konouchi, Hironobu
    Takenobu, Toshihiko
    Nagatsuka, Hitoshi
    Asaumi, Jun-ichi
    EUROPEAN JOURNAL OF RADIOLOGY, 2012, 81 (11) : 3306 - 3312
  • [23] Diffusion-weighted and gadolinium-enhanced dynamic MRI in parotid gland tumors
    Paris, Pauline
    Fath, Lea
    Schultz, Philippe
    Veillon, Francis
    Riehm, Sophie
    Severac, Francois
    Venkatasamy, Aina
    EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY, 2023, 280 (01) : 391 - 398
  • [24] Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI
    Naranjo, Isaac Daimiel
    Lo Gullo, Roberto
    Saccarelli, Carolina
    Thakur, Sunitha B.
    Bitencourt, Almir
    Morris, Elizabeth A.
    Jochelson, Maxine S.
    Sevilimedu, Varadan
    Martinez, Danny F.
    Pinker-Domenig, Katja
    EUROPEAN RADIOLOGY, 2021, 31 (01) : 356 - 367
  • [25] Histogram Analysis Comparison of Monoexponential, Advanced Diffusion-Weighted Imaging, and Dynamic Contrast-Enhanced MRI for Differentiating Borderline From Malignant Epithelial Ovarian Tumors
    He, Mengge
    Song, Yang
    Li, Haiming
    Lu, Jing
    Li, Yongai
    Duan, Shaofeng
    Qiang, Jinwei
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 52 (01) : 257 - 268
  • [26] Diffusion kurtosis imaging and dynamic contrast-enhanced MRI for the differentiation of parotid gland tumors
    Huang, Nan
    Chen, Yu
    She, Dejun
    Xing, Zhen
    Chen, Tanhui
    Cao, Dairong
    EUROPEAN RADIOLOGY, 2022, 32 (04) : 2748 - 2759
  • [27] Comparing diagnostic accuracy of luminal water imaging with diffusion-weighted and dynamic contrast-enhanced MRI in prostate cancer: A quantitative MRI study
    Sabouri, Shirin
    Chang, Silvia D.
    Goldenberg, S. Larry
    Savdie, Richard
    Jones, Edward C.
    Black, Peter C.
    Fazli, Ladan
    Kozlowski, Piotr
    NMR IN BIOMEDICINE, 2019, 32 (02)
  • [28] Quantitative dynamic contrast-enhanced and diffusion-weighted MRI for differentiation between nasopharyngeal carcinoma and lymphoma at the primary site
    Yu, Xiao-ping
    Hou, Jing
    Li, Fei-ping
    Xiang, Wang
    Lu, Qiang
    Hu, Yin
    Wang, Hui
    DENTOMAXILLOFACIAL RADIOLOGY, 2016, 45 (03)
  • [29] A multiparametric approach to diagnosing breast lesions using diffusion-weighted imaging and ultrafast dynamic contrast-enhanced MRI
    Ohashi, Akane
    Kataoka, Masako
    Iima, Mami
    Kanao, Shotaro
    Honda, Maya
    Urushibata, Yuta
    Nickel, Marcel Dominik
    Kishimoto, Ayami Ohno
    Ota, Rie
    Toi, Masakazu
    Togashi, Kaori
    MAGNETIC RESONANCE IMAGING, 2020, 71 : 154 - 160
  • [30] Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer
    Fasmer, Kristine E.
    Bjornerud, Atle
    Ytre-Hauge, Sigmund
    Gruner, Renate
    Tangen, Ingvild L.
    Werner, Henrica M. J.
    Bjorge, Line
    Salvesen, Oyvind O.
    Trovik, Jone
    Krakstad, Camilla
    Haldorsen, Ingfrid S.
    ACTA RADIOLOGICA, 2018, 59 (08) : 1010 - 1017