HANDAN ANKARALI, SEYİT ANKARALI, FATİH MEHMET GÖKÇE, Şerif DEMİR, Hulusi KEÇECİ

Cut-Off values for EEG frequency in differentiation of alzheimer, non-alzheimer dementia and healthy subjects: An application of 3D-ROC surface method

Amaç: İlk olarak en az üç grubun ayırıcı tanısını yapmak için kullanılabilecek parametrik olmayan ROC yüzeyi metodunun yaygınlaşmasını sağlamak için yeni bir makro programı yazmayı; ikinci olarak bu metotla Alzheimer tipi demans (AD), non-Alzheimer tipi demans (NAD) ve sağlıklı bireylerin ayırıcı tanısında ortalama EEG frekansının kullanılabilirliğini araştırmayı ve üçüncü olarak ortalama EEG frekansına ait cut-off değerleri belirlemeyi amaçladık. Hastalar ve Yöntemler: Çalışmadaki bireylerin sol frontal bölgesinden kaydedilen EEG örneklerinin ortalama frekansı hesaplanmış ve ROC yüzeyi metodu ile grupların ayırımı planlanmıştır. Bulgular: Ortalama EEG frekansına göre ROC yüzeyi altındaki hacim 0.464, bootstrap standart sapması ise 0.150 olarak hesaplanmıştır. Grupları ayırmada ortalama frekansın başarısı istatistiksel olarak anlamlı bulunmuştur (Z=1.99 ve p=0.024). Muhtemel bütün değerler arasından en uygun cutoff değerleri sensitivite ve spesifite değerlerine göre belirlenmiştir. Alzheimer tipi demans hastalarını bireylerinden en iyi ayıran değer 8 Hz iken NAD bireylerini sağlıklı bireylerden en iyi ayıran değer 10 Hz olarak belirlenmiştir. Bu cut-off çiftinin kullanılması ile AD tanısı için sensitivite %87.5 ve toplam doğru tanı başarısı %65 olarak bulunmuştur. Sonuç: Bulgularımıza dayanarak ortalama EEG frekansının AD diğer demanslılar ve sağlıklı bireylerden ayırmada bir ön tanı aracı olarak kullanılabileceğini önerebiliriz.

Alzheimer demansı, diğer tip demanslılar ve sağlıklı bireylerin ayrımında EEG Frekansı için Cut-Off değerleri: 3D-ROC yüzeyi metodunun bir uygulaması

Objectives: To write a new macro programme for the use of the non-parametric 3-D Receiver Operating Characteristic (ROC) surface method in the discrimination of three or more groups, to study the usefulness of electroencephalography (EEG) frequency in the diagnosis of Alzheimer type dementia (AD), non-Alzheimer type dementia (NAD) and healthy subjects, and to determine cut-off values of EEG frequency. Patients and Methods: The mean EEG frequencies in the left fontal region EEG records of subjects in the present study were calculated and the ROC surface method was used in discrimination of the groups. Results: The volume under the ROC surface was calculated as 0.464±0.150. Accuracy of the mean frequency in differentiation of groups was statistically significant (p=0.024). 8 Hz was found to be convenient for differentiation of AD from NAD patients and 10 Hz for the differentiation of NAD patients and healthy subjects. The sensitivity was 87.5% for Alzheimer's dementia diagnosis and total accuracy was 65% using this cut-off pair. Conclusion: We suggest that the mean EEG frequency may be used only as a pre-diagnostic tool for the differential diagnosis of these groups.

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