Objective To investigate the expression and significance of cellular inhibitor of protein phosphatase 2A (CIP2A), bcl-2 and p63 in papillary thyroid cancer (PTC). Methods Using immunohistochemistry to detect the expression of CIP2A, bcl-2 and p63 in 30 cases of nodular goiter (NG), 30 cases of thyroid adenoma (TA) and 57 cases of PTC [including classical PTC (cPTC) 20 cases, papillary microcarcinoma (PMC) 20 cases, follicular thyroid papillary carcinoma (FPTC) 7 cases]. Results In NG group, TA group and PTC group, positive rates of CIP2A were 0, 0 and 94.74 % (54/57), respectively. The differences were statistically significant. In NG group, TA group and PTC group, positive rates of bcl-2 were 16.67 % (5/30), 13.33 % (4/30) and 85.96 % (49/57), respectively. The differences were statistically significant. In each group, positive rates of p63 were 6.67% (2/30), 3.33% (1/30) and 5.26% (3/57), respectively, no significant difference among them. In PTC, expression of CIP2A and bcl-2 were significantly higher than in NG and TA (χ2 = 105.56, P= 0.00; χ2 = 58.95, P= 0.00). Furthermore, the expression of CIP2A and bcl-2 had correlation in PTC (r=0.94, P=0.00). The expression of CIP2A, bcl-2 and p63 had no significantly difference among all the PTC subtype (χ2 values were 2.02, 2.64, 1.85; all P> 0.05). The expression of CIP2A, bcl-2 and p63 was not associated with patients'age, sex, site, lymph node metastasis (all P>0.05). Conclusions High expression of CIP2A and bcl-2 is associated with PTC, and the expression of CIP2A and bcl-2 has correlation in PTC. The expression of p63 has no correlation with PTC.

It is very important to extract electroencephalogram (EEG) rhythm in clinical diagnoses. Digital filter and wavelet transform are used to extract the rhythm from a piece of EEG at the sampling rate of 2 kHz. The Daubechies order 4 wavelet (db4) was used to decompose the EEG at 8 levels. According to the filter characteristic of wavelet decomposition, the reconstructions of aS, d8, d7, d6 and d5 component are nearly corresponding to the rhythms of delta, theta, alpha, gamma separately. The 6 order ellipse infinite impulse response (IIR) filter is also used to decompose the EEG. As the quality factor of wavelet decomposition filter is constant, the wavelet transform obtains better extracted rhythm than the digital filter. Furthermore, the wavelet transform method can be used to extract the low frequency rhythm from wide frequency band.
Algorithms ; Artifacts ; Brain ; physiology ; Electroencephalography ; methods ; Humans ; Signal Processing, Computer-Assisted