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Research ArticleHead and Neck ImagingE
Open Access

Utility of the K-Means Clustering Algorithm in Differentiating Apparent Diffusion Coefficient Values of Benign and Malignant Neck Pathologies

A. Srinivasan, C.J. Galbán, T.D. Johnson, T.L. Chenevert, B.D. Ross and S.K. Mukherji
American Journal of Neuroradiology April 2010, 31 (4) 736-740; DOI: https://doi.org/10.3174/ajnr.A1901
A. Srinivasan
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C.J. Galbán
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T.D. Johnson
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T.L. Chenevert
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B.D. Ross
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S.K. Mukherji
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    Fig 1.

    Images from a patient with a benign lesion (parotid pleomorphic adenoma) demonstrate overlay of ADC (A) and cluster maps (B and D) on low b-value images and histograms assuming 2 (C) and 3 (E) clusters. In the 2-cluster model, low ADC is color-coded blue; and high ADC, green. In the 3-cluster model, low ADC is color-coded blue; intermediate ADC, green; and high ADC, red.

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    Fig 2.

    Images from a patient with a malignant lesion (sinonasal undifferentiated carcinoma) demonstrate overlay of ADC (A) and cluster maps (B and D) on low b-value images and histograms assuming 2 (C) and 3 (E) clusters. In the 2-cluster model, low ADC is color-coded blue; and high ADC, green. In the 3-cluster model, low ADC is color-coded blue; intermediate ADC, green; and high ADC, red.

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    Fig 3.

    Bar graphs of whole-tumor ADC, ADCH(k2), ADCL(k2), ADCH(k3), ADCI(k3), and ADCL(k3) obtained from the observations of reader 1 for benign and malignant pathologies are depicted. Significant difference in means are only identified between the ADCL(k3) in benign and malignant lesions (P = .03). For reader 2, significant differences are identified in both the ADCL(k2) and ADCL(k3) clusters (P = .04 and 0.022, respectively) (k2–2-cluster model; k3–3-cluster model).

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    Fig 4.

    ROC curves for whole-lesion mean ADC (blue line) and difference in mean ADCH and ADCL as determined from K-means analysis assuming a cluster number of 2 (red line) and 3 (green line). There was no predictive value of whole-lesion mean ADC for malignancy (P = .2, area under curve = 0.310). However, the quantitative difference in the means of high ADC and low ADC clusters in both the 2- and 3-cluster models was found to be predictive of malignancy (2 clusters: P = .008, area under curve = 0.850; 3 clusters: P = .01, area under curve = 0.825).

Tables

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    Table 1:

    ADC values obtained in 10 benign neck pathologies by readers 1 and 2

    Pathology No.Patient No.Age (yr)/SexDiagnosisReader 1, Mean ADC (10−5 mm2/s)Reader 2, Mean ADC (10−5 mm2/s)
    1123/FMasseteric hemangioma176181
    2226/FSympathetic schwannoma127128
    3226/FVestibular nerve schwannoma180181
    4356/MVestibular nerve schwannoma182182
    5441/FTrigeminal schwannoma128126
    6533/FNeurosarcoidosis180174
    7661/FFungal sinusitis110110
    8760/FVagal schwannoma8585
    9863/FPleomorphic adenoma parotid202204
    10976/FStable parapharyngeal mass for 3 years9292
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    Table 2:

    ADC values obtained in 10 malignant neck pathologies by readers 1 and 2

    Pathology No./ Patient No.Age (yr)/SexDiagnosisReader 1, Mean ADC (10−5 mm2/s)Reader 2, Mean ADC (10−5 mm2/s)
    141/FAdenosquamous cell carcinoma, skull base99116
    237/MSNUC104100
    358/MSCC hypopharynx8276
    461/MSCC, palatine tonsil154121
    562/MSCC, palatine tonsil113114
    660/MSCC, tongue base134114
    766/MSNUC167167
    882/MSCC, supraglottis9689
    943/MSCC, oropharynx161148
    1018/FSpindle cell sarcoma, parotid gland9898
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American Journal of Neuroradiology: 31 (4)
American Journal of Neuroradiology
Vol. 31, Issue 4
1 Apr 2010
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Cite this article
A. Srinivasan, C.J. Galbán, T.D. Johnson, T.L. Chenevert, B.D. Ross, S.K. Mukherji
Utility of the K-Means Clustering Algorithm in Differentiating Apparent Diffusion Coefficient Values of Benign and Malignant Neck Pathologies
American Journal of Neuroradiology Apr 2010, 31 (4) 736-740; DOI: 10.3174/ajnr.A1901

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Utility of the K-Means Clustering Algorithm in Differentiating Apparent Diffusion Coefficient Values of Benign and Malignant Neck Pathologies
A. Srinivasan, C.J. Galbán, T.D. Johnson, T.L. Chenevert, B.D. Ross, S.K. Mukherji
American Journal of Neuroradiology Apr 2010, 31 (4) 736-740; DOI: 10.3174/ajnr.A1901
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