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Research ArticleHead and Neck Imaging

Apparent Diffusion Coefficient Mapping of Salivary Gland Tumors: Prediction of the Benignancy and Malignancy

S. Eida, M. Sumi, N. Sakihama, H. Takahashi and T. Nakamura
American Journal of Neuroradiology January 2007, 28 (1) 116-121;
S. Eida
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M. Sumi
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N. Sakihama
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H. Takahashi
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T. Nakamura
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  • Fig 1.
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    Fig 1.

    Differences in ADC levels of the parotid, submandibular, and sublingual glands. Graph (box plots) shows ADC levels of parotid (PG), submandibular (SMG), and sublingual (SLG) glands. The horizontal line in each box is a median (50th percentile) of the measured values, the top and bottom of the boxes represent 25th and 75th percentiles, respectively, and whiskers indicate the range from the largest to smallest observed data points within 1.5 interquartile range presented by the box. P, Mann-Whitney U test.

  • Fig 2.
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    Fig 2.

    A 70-year-old man with pleomorphic adenoma of parotid gland. A, Axial T1-weighted (TR/TE = 426 ms/12 ms) image using 47-mm microscopy coil shows tumor (arrows) with homogeneous architectures and hypointense signals relative to gland.

    B, Axial fat-suppressed T2-weighted (TR/TE = 4677 ms/80 ms) image using microscopy coil shows heterogeneous tumor (arrows).

    C, Axial ADC map shows that tumor (indicated by white contour) contains central high ADC area and peripheral intermediate ADC area.

    D and E, Photomicrographs show area with proliferating tumor cells (D) or large cyst (E). Original magnifications, 20× (D) and 10× (E). Hematoxylin-eosin staining.

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    Fig 3.

    A 55-year-old man with Warthin tumor of parotid gland. A, Axial T1-weighted (TR/TE = 426 ms/12 ms) image using 47-mm microscopy coil shows hypointense and homogeneous tumor (arrows).

    B, Axial fat-suppressed T2-weighted (TR/TE = 4677 ms/80 ms) image using 47-mm microscopy coil shows roughly homogeneous tumor (arrow).

    C, Axial ADC map shows high ADC areas in proximal half and low ADC areas in distal half of Warthin tumor.

    D and E, Photomicrographs show lymphoid tumor area (D) and necrotic area (E). Original magnification, 20×. Hematoxylin-eosin staining.

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    Fig 4.

    A 68-year-old man with mucoepidermoid carcinoma of sublingual gland. A, Axial T1-weighted (TR/TE = 500 ms/15 ms) image using 110-mm surface coil shows homogeneous tumor (arrows) of sublingual gland.

    B, Axial fat-suppressed T2-weighted (TR/TE = 4677 ms/80 ms) image using 110-mm surface coil shows homogeneous tumor (arrows).

    C, Axial ADC map shows that major part of tumor is of low ADCs.

    D and E, Photomicrographs show proliferation of polygonal, clear cancer cells (D) and cancer cell nests in attenuated fibrous connective tissues (E). Original magnifications, 20× (D) and 10× (E). Hematoxylin-eosin staining.

  • Fig 5.
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    Fig 5.

    A 71-year-old man with adenocarcinoma of submandibular gland. A, Axial T1-weighted (TR/TE = 500 ms/15 ms) image using 110-mm surface coil shows homogeneous tumor (arrows) of submandibular gland.

    B, Axial fat-suppressed T2-weighted (TR/TE = 4677/80) image using surface coil shows slightly heterogeneous tumor (arrows).

    C, Axial ADC map shows speckled pattern of low and high ADCs in tumor.

    D, Photomicrograph shows cancer cells proliferating in loose connective tissues. Original magnification, 20×. Hematoxylin- eosin staining.

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    Fig 6.

    A 56-year-old woman with malignant lymphoma of parotid gland. A, Axial gadolinium-enhanced fat-suppressed T1-weighted image (TR/TE = 426 ms/12 ms) using 47-mm microscopy coil shows homogeneous lymphoma (arrows) of superficial part of gland.

    B, Axial ADC map shows lymphoma having low ADCs throughout lesion.

    C, Photomicrograph shows lymphoma cell proliferation (B cell, medium-sized cell type) associated with germ center-like structure. Original magnification, 20×. Hematoxylin-eosin staining.

Tables

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    Table 1:

    ADC map analysis of salivary gland tumors

    DiagnosisNo. of PatientsADCs (× 10−3 mm2/s)
    Extremely LowLowIntermediateHigh
    Benign2223 ± 2613 ± 1133 ± 2130 ± 23*
        Pleomorphic adenoma11014554
        Warthin tumor105022208
        Papillary cystadenoma1096428
    Malignant936 ± 4141 ± 3220 ± 194 ± 8*
        Mucoepidermoid carcinoma2977140
        Adenoid cystic carcinoma21174133
        Salivary duct carcinoma11064260
        Adenocarcinoma12442323
        Lymphoma298200
        Carcinoma ex pleomorphic adenoma15353822
    • Note:—ADC indicates apparent diffusion coefficient.

      Data are proportions of each of the areas having an indicated ADC level relative to the maximum tumor area on ADC maps and are expressed as means or means ± S.E.

    • * Statistically significant (P < 0.001, Mann-Whitney U test).

    • View popup
    Table 2:

    Predictive ability of ADC criteria for salivary gland tumors

    Diagnostic AbilityCutoff Points of Percentage Area Having High ADCs for the Diagnosis of Malignant Tumors
    <3%<5%<10%<15%
    Sensitivity (%)56898989
    Specificity (%)1001007359
    Accuracy (%)87977768
    PPV (%)100100100100
    NPV (%)85967057
    • Note:—PPV indicates positive predictive value; NPV, negative predictive value.

      On the ADC map image that demonstrates the maximum tumor area of a salivary gland tumor, diagnostic abilities for the diagnosis of malignant tumors were calculated after varying the cutoff point of percentage area having high ADCs (≥1.8 × 10−3 mm2/s).

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American Journal of Neuroradiology: 28 (1)
American Journal of Neuroradiology
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S. Eida, M. Sumi, N. Sakihama, H. Takahashi, T. Nakamura
Apparent Diffusion Coefficient Mapping of Salivary Gland Tumors: Prediction of the Benignancy and Malignancy
American Journal of Neuroradiology Jan 2007, 28 (1) 116-121;

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Apparent Diffusion Coefficient Mapping of Salivary Gland Tumors: Prediction of the Benignancy and Malignancy
S. Eida, M. Sumi, N. Sakihama, H. Takahashi, T. Nakamura
American Journal of Neuroradiology Jan 2007, 28 (1) 116-121;
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  • Biologic Imaging of Head and Neck Cancer: The Present and the Future
  • Efficacy of Diffusion-Weighted Imaging for the Differentiation between Lymphomas and Carcinomas of the Nasopharynx and Oropharynx: Correlations of Apparent Diffusion Coefficients and Histologic Features
  • Multiparametric MR Imaging of Sinonasal Diseases: Time-Signal Intensity Curve- and Apparent Diffusion Coefficient-Based Differentiation between Benign and Malignant Lesions
  • Apparent Diffusion Coefficient Calculated with Relatively High b-Values Correlates with Local Failure of Head and Neck Squamous Cell Carcinoma Treated with Radiotherapy
  • Apparent Diffusion Coefficient Mapping for Sinonasal Diseases: Differentiation of Benign and Malignant Lesions
  • Diagnosing common parotid tumours with magnetic resonance imaging including diffusion-weighted imaging vs fine-needle aspiration cytology: a comparative study
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