Apparent Diffusion Coefficient Mapping for Sinonasal Diseases: Differentiation of Benign and Malignant Lesions

被引:56
|
作者
Sasaki, M. [1 ]
Eida, S. [1 ]
Sumi, M. [1 ]
Nakamura, T. [1 ]
机构
[1] Nagasaki Univ, Sch Dent, Dept Radiol & Canc Biol, Nagasaki 8528588, Japan
关键词
SALIVARY-GLAND TUMORS; PAROTID-GLAND; MR; NECK; HEAD; PREDICTION; VALUES; NODES;
D O I
10.3174/ajnr.A2434
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND AND PURPOSE: CT and MR imaging features of benign and malignant sinonasal lesions are often nonspecific. Therefore, we evaluated the ADC-based differentiation of these lesions. MATERIALS AND METHODS: We retrospectively assessed ADCs of 61 patients with histologically proved sinonasal tumors and tumorlike lesions: 19 benign lesions, 28 malignant tumors, and 14 inflammatory lesions. Overall ADCs and percentages of total tumor area with extremely low, low, intermediate, or high ADCs (ADC mapping) were determined by using 2 b-values (500 and 1000 s/mm(2)). RESULTS: ADCs of malignant tumors (0.87 +/- 0.32 x 10(-3) mm(2)/s) were significantly lower than those of benign (1.35 +/- 0.29 x 10(-3) mm(2)/S, P < .0001) and inflammatory (1.50 +/- 0.50 x 10(-3) mm(2)/s, P = .0002) lesions. On ADC mapping, percentages of total tumor area within malignant tumors having extremely low or low ADCs were significantly (P < .0001) greater than those within benign and inflammatory lesions. Cutoff points for ADC mapping (>= 78% of tumor areas having extremely low or low ADCs) effectively differentiated benign or inflammatory lesions and malignant tumors with 75% sensitivity, 94% specificity, 85% accuracy, and 91% positive and 82% negative predictive values, respectively. ADCs also effectively discriminated lymphomas and SCCs from other malignant tumors. CONCLUSIONS: ADC mapping may be an effective MR imaging tool for the differentiation of benign/inflammatory lesions from malignant tumors in the sinonasal area.
引用
收藏
页码:1100 / 1106
页数:7
相关论文
共 50 条
  • [1] Pre-treatment apparent diffusion coefficient mapping: differentiation of benign from malignant laryngeal lesions
    Taha, M. S.
    Amir, M.
    Hassan, O.
    Sabra, R.
    Taha, T.
    Riad, M. A.
    JOURNAL OF LARYNGOLOGY AND OTOLOGY, 2015, 129 (01): : 57 - 62
  • [2] Apparent diffusion coefficient measurements in the differentiation between benign and malignant lesions: A systematic review
    Vermoolen M.A.
    Kwee T.C.
    Nievelstein R.A.J.
    Insights into Imaging, 2012, 3 (4) : 395 - 409
  • [3] Multiparametric MR Imaging of Sinonasal Diseases: Time-Signal Intensity Curve- and Apparent Diffusion Coefficient-Based Differentiation between Benign and Malignant Lesions
    Sasaki, M.
    Sumi, M.
    Eida, S.
    Ichikawa, Y.
    Sumi, T.
    Yamada, T.
    Nakamura, T.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2011, 32 (11) : 2154 - 2159
  • [4] The Application of Apparent Diffusion Coefficient and Chemical Shift Images in Differentiation of Benign and Malignant Vertebral Lesions
    Jafarpour, Mozhgan
    Faeghi, Fariborz
    Valizade, Abdollah
    Ghafouri, Mahyar
    INTERNATIONAL JOURNAL OF CANCER MANAGEMENT, 2018, 11 (07)
  • [5] Apparent diffusion coefficient histogram in the differentiation of benign and malignant testicular tumors
    Minh, Nguyen Dinh
    Hung, Nguyen Duy
    Tuan, Trinh Anh
    Hien, Ma Mai
    Tuan, Ho Xuan
    Duc, Nguyen Minh
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2024, 21 (02): : 200 - 206
  • [6] Role of MRI Apparent Diffusion Coefficient (ADC) Quantification in the differentiation between benign and malignant pulmonary lesions
    Hussein, Khaled
    Eldin, Marwan Nasr
    Mostafa, Hisham
    Hamed, Ahmed
    EUROPEAN RESPIRATORY JOURNAL, 2017, 50
  • [7] The diagnostic value of diffusion-weighted imaging and the apparent diffusion coefficient values in the differentiation of benign and malignant breast lesions
    Cabuk, Gonca
    Duce, Meltem Nass
    Ozgur, Anil
    Apaydin, Feramuz Demir
    Polat, Ayse
    Orekici, Gulhan
    JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY, 2015, 59 (02) : 141 - 148
  • [8] Apparent diffusion coefficient for differentiating between benign and malignant hepatic focal lesions
    Abugamra, Sherif
    Yassin, Aya
    Abdel-Rehim, Asmaa Saber Mostafa
    Sheha, Dina Sayed
    EGYPTIAN LIVER JOURNAL, 2020, 10 (01)
  • [9] Apparent diffusion coefficient for differentiating between benign and malignant hepatic focal lesions
    Sherif Abugamra
    Aya Yassin
    Asmaa Saber Mostafa Abdel-Rehim
    Dina Sayed Sheha
    Egyptian Liver Journal, 10 (1)
  • [10] Value of Apparent Diffusion Coefficient Values in Differentiating Malignant and Benign Breast Lesions
    Bozkurt, Tugba Bostan
    Koc, Gonca
    Sezgin, Gulten
    Altay, Canan
    Gelal, M. Fazil
    Oyar, Orhan
    BALKAN MEDICAL JOURNAL, 2016, 33 (03) : 294 - 300