Adverse health outcomes among rural prostate cancer survivors: A population-based study.

INTRODUCTION: Rural cancer survivors experience considerable health disparities compared to urban cancer survivors for cancer treatment and survival. The objective of our study was to investigate the risk of developing diseases for rural compared to urban prostate cancer survivors in Utah. METHODS: We identified a cohort of 3575 rural prostate cancer survivors and 17,778 urban prostate cancer survivors from the Utah Cancer Registry. The Fine-Gray subdistribution hazards model was used to estimate hazard ratios and 95 % confidence intervals for diseases in major body systems among rural compared to urban prostate cancer survivors at > 1-5 years and > 5 years after prostate cancer diagnosis. RESULTS: Rural residence was associated with an increased risk of diseases of the respiratory system at > 5 years (HR: 1.16, 95 % CI: 1.01-1.32) after cancer diagnosis compared to urban residence among prostate cancer survivors in Utah. Decreased risks were observed in infectious and parasitic diseases, diseases of the blood and blood-forming organs, diseases of the nervous system and sense organs, and diseases of the skin and subcutaneous tissue for rural prostate cancer survivors between 1 and 5 years after cancer diagnosis. CONCLUSIONS: Rural prostate cancer survivors in Utah were somewhat healthier compared to urban prostate cancer survivors. Further studies are needed to confirm whether these associations are also supported for rural prostate cancer survivors in other regions of the U.S.

Hilbert-Huang transform for analysis of heart rate variability in cardiac health.

This paper introduces a modified technique based on Hilbert-Huang transform (HHT) to improve the spectrum estimates of heart rate variability (HRV). In order to make the beat-to-beat (RR) interval be a function of time and produce an evenly sampled time series, we first adopt a preprocessing method to interpolate and resample the original RR interval. Then, the HHT, which is based on the empirical mode decomposition (EMD) approach to decompose the HRV signal into several monocomponent signals that become analytic signals by means of Hilbert transform, is proposed to extract the features of preprocessed time series and to characterize the dynamic behaviors of parasympathetic and sympathetic nervous system of heart. At last, the frequency behaviors of the Hilbert spectrum and Hilbert marginal spectrum (HMS) are studied to estimate the spectral traits of HRV signals. In this paper, two kinds of experiment data are used to compare our method with the conventional power spectral density (PSD) estimation. The analysis results of the simulated HRV series show that interpolation and resampling are basic requirements for HRV data processing, and HMS is superior to PSD estimation. On the other hand, in order to further prove the superiority of our approach, real HRV signals are collected from seven young health subjects under the condition that autonomic nervous system (ANS) is blocked by certain acute selective blocking drugs: atropine and metoprolol. The high-frequency power/total power ratio and low-frequency power/high-frequency power ratio indicate that compared with the Fourier spectrum based on principal dynamic mode, our method is more sensitive and effective to identify the low-frequency and high-frequency bands of HRV.

Robust image watermarking based on multiband wavelets and empirical mode decomposition.

In this paper, we propose a blind image watermarking algorithm based on the multiband wavelet transformation and the empirical mode decomposition. Unlike the watermark algorithms based on the traditional two-band wavelet transform, where the watermark bits are embedded directly on the wavelet coefficients, in the proposed scheme, we embed the watermark bits in the mean trend of some middle-frequency subimages in the wavelet domain. We further select appropriate dilation factor and filters in the multiband wavelet transform to achieve better performance in terms of perceptually invisibility and the robustness of the watermark. The experimental results show that the proposed blind watermarking scheme is robust against JPEG compression, Gaussian noise, salt and pepper noise, median filtering, and ConvFilter attacks. The comparison analysis demonstrate that our scheme has better performance than the watermarking schemes reported recently.

[Clinical value of serum tissue polypeptide specific antigen detection for primary hepatic cancer].

OBJECTIVE: To evaluate the clinical value of serum tissue polypeptide specific antigen (TPS) for primary hepatic cancer in comparison with alpha-fetoprotein (AFP). METHODS: TPS and AFP were measured by enzyme-linked immunosorbent assay (ELISA) in 85 patients with primary hepatic cancer, 19 with metastatic hepatic cancer, 35 with liver cirrhosis, 22 with chronic hepatitis and 50 healthy control subjects. RESULTS: Serum AFP levels were elevated in patients with hepatocellular carcinoma in comparison with that in cholangiocarcinoma patients (P=0.037), but the difference was not significant (P=0.737). Serum TPS levels were significantly correlated with the tumor size (P=0.001), but not with the number of the tumors, portal invasion, extrahepatic metastasis, clinical stage or histological differentiation (P>0.05). A significant correlation was observed between AFP level and tumor size (P=0.028), portal invasion(P=0.005), and histological differentiation (P=0.000). CONCLUSION: TPS alone offers no more clues than AFP for the diagnosis of primary hepatic cancer, though it can be helpful for the diagnosis of cholangiocarcinoma. It has only limited clinical utility as a marker for primary hepatic cancer.