Evaluating of Parotid Gland Tumours According to Diffusion Weighted MRI

Year 2014, , 77 - 84, 01.06.2014

Çınar Balçık Hüseyin Akan Lütfi İncesu

https://doi.org/10.15197/sabad.1.11.43

Abstract

The aim of this study is evaluating the contribution of diffusion-weighted MR imaging (DWI) in the final diagnosis of patient that parotid gland tumours has been determined. Fourty patients with 41 parotid masses were included to this study. The mean Apparent Diffusion Coefficient (ADC) values were calculated for all of lesions by performing DWI. 28 benign and 13 malignant tumours were detected as a final diagnosis. ADC values of these lesions were compared. The optimal cutoff ADC value was determined for discrimination of these lesions by using ROC curve analysis. The most often benign and malignant tumours of parotid gland were pleomorphic adenoma and secondary tumours, respectively. The highest ADC value as 2.10±0.26×10-3 mm²/sec was belong to pleomorphic adenoma. The mean ADC value of pleomorphic adenoma was significantly higher than other lesions. As a result of ROC curve analysis, pleomorphic adenomas were differentiated from all other benign and malignant tumours with 1.60×10-3 mm²/sec cutoff ADC value that had sensitivity of 94.7% and specificity of 100%; and also malignant tumours were differentiated from Warthin\'s tumours with 1.01×10-3 mm²/sec cutoff ADC value that had sensitivity of 92.3% and specificity of 100%.We could differentiated pleomorphic adenomas, Warthin tumours and malignant tumours each other which are the most common parotid gland tumours by using the value of ADC.

Keywords

Parotid gland, pleomorphic adenoma, magnetic resonance imaging, diffusion, ADC

Evaluating of Parotid Gland Tumours According to Diffusion Weighted MRI

Abstract

Bu çalışmanın amacı, parotis bezi tümörü saptanan olgularda difüzyon ağırlıklı MRG (DAG)’nin son tanıya katkısını değerlendirmektir.Çalışmaya parotis bezinde toplam 41 lezyonu olan 40 hasta alındı. Tüm hastalara DAG yapılarak tüm lezyonların ortalama görünen difüzyon katsayısı (ADC) değerleri hesaplandı. Son tanıya göre 28 tane benin, 13 tane malin lezyon saptandı. Bu lezyonların ADC değerleri karşılaştırıldı. Ayrıca lezyonları ayırt etmek için ROC eğri analizi kullanılarak optimal cutoff ADC değerleri bulundu.Parotis bezinin en sık benin ve malin tümörleri sırasıyla pleomorfik adenom ve sekonder tümörler idi. En yüksek ADC değeri 2.10±0.26×10-3 mm²/sn ile pleomorfik adenomlara aitti. Pleomorfik adenomların ortalama ADC değeri diğer lezyonlardan anlamlı olarak yüksekti. ROC eğri analizi sonuçlarına göre pleomorfik adenom, diğer tüm benin ve malin tümörlerden 1.60x10-3 mm²/sn cutoff ADC değeri ile %94.7 duyarlılık ve %100 özgüllükle; malin tümörler, Whartin tümöründen ise 1.01x10-3 mm²/sn cutoff ADC değeri ile %92.3 duyarlılık ve %100 özgüllükle ayırt edildi. Biz çalışmamızda en sık görülen parotis bezi tümörleri olan pleomorfik adenom, Warthin tümörü ve malin tümörleri ADC değerlerini kullanarak ayırabildik

Keywords

Parotis bezi, pleomorfik adenom, manyetik rezonans görüntüleme, difüzyon, ADC

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