• International Journal of Computer Science & Network Security
• /
• v.21 no.5
• /
• pp.1-8
• /
• 2021

Prostate cancer is one of the most diagnosed malignancies found across the world today. American cancer society in recent research predicted that over 174,600 new prostate cancer cases found and nearly 31,620 death cases recorded. Researchers are developing modest and accurate methodologies to detect and diagnose prostate cancer. Recent work has been done in radiology to detect prostate tumors using ultrasound imaging and resonance imaging techniques. Transrectal ultrasound and Magnetic resonance images of the prostate gland help in the detection of cancer in the prostate gland. The proposed paper is based on comparison and analysis between two novel image segmentation approaches. Seed region growing and cluster based image segmentation is used to extract the region from trans-rectal ultrasound prostate and MR prostate images. The region of extraction represents the abnormality area that presents in men's prostate gland. Detection of such abnormalities in the prostate gland helps in the identification and treatment of prostate cancer

• Biomolecules & Therapeutics
• /
• v.21 no.1
• /
• pp.10-20
• /
• 2013

Prostate cancer is one of the most prevalent non-skin related cancers. It is the second leading cause of cancer deaths among males in most Western countries. If prostate cancer is diagnosed in its early stages, there is a higher probability that it will be completely cured. Prostatic acid phosphatase (PAP) is a non-specific phosphomonoesterase synthesized in prostate epithelial cells and its level proportionally increases with prostate cancer progression. PAP was the biochemical diagnostic mainstay for prostate cancer until the introduction of prostate-specific antigen (PSA) which improved the detection of early-stage prostate cancer and largely displaced PAP. Recently, however, there is a renewed interest in PAP because of its usefulness in prognosticating intermediate to high-risk prostate cancers and its success in the immunotherapy of prostate cancer. Although PAP is believed to be a key regulator of prostate cell growth, its exact role in normal prostate as well as detailed molecular mechanism of PAP regulation is still unclear. Here, many different aspects of PAP in prostate cancer are revisited and its emerging roles in other environment are discussed.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.16
• /
• pp.7011-7023
• /
• 2015

Background: Prostate cancer is one of the most common cancers affecting men globally, constituting the sixth leading cause of cancer related death in males, and the eleventh leading cause of death from cancer in all age groups. In Jordan, prostate cancer is the third most common cancer in the male population, accounting for one third (6.2%) of cancer related deaths and in 2010 alone, 218 (9.4%) new cases were identified. Objective: To assess the effectiveness of different health education interventions aimed at enhancing knowledge, beliefs and intention to screen for prostate cancer. Materials and Methods: A literature search from January 2000 to April 2015 was conducted using the key words "prostate disease," "educational program," "knowledge," "prostate cancer," "demographic factors and prostate cancer," "knowledge and prostate cancer," "education for patients with prostate cancer," "factors that affect intention to screen," "knowledge, beliefs, and intention to screen for prostate cancer," "impact of prostate educational program on beliefs," and "impact of educational program on intention to screen." Results: Majority of studies reviewed indicated that men had low levels of knowledge regarding prostate cancer, and mild to moderate beliefs with good intention to screen for prostate cancer. Conclusions: Most studies indicated that men's knowledge levels about prostate cancer were poor and they had mild to moderate beliefs and intentions to screen for prostate cancer. Therefore, development of an assessment strategy based on the Health Belief Model seems essential. An effectively designed and implemented educational program can help identify the needs and priorities of the target population.

• Journal of Yeungnam Medical Science
• /
• v.21 no.2
• /
• pp.191-197
• /
• 2004

Background: This study was performed to reconsider the efficacy of transrectal ultrasonography (TRUS) in diagnosing prostate cancer by analyzing the results of a digital rectal examination (DRE), serum prostate-specific antigen (PSA) and a transrectal ultrasonography in patients with prostate specific antigen levels of 10 ng/ml or less. Materials and Methods: One-hundred and eighty one men with PSA levels of 10 ng/ml or less, who had a TRUS-guided tissue biopsy performed, were included in this study. The detection rate of prostate cancer was compared according to the TRUS result and the presence or absence of nodularity and the consistency of the prostate on DRE. Results: In a total 181 patients, there were 73 patients with PSA levels of 4 ng/ml or less and 4 of them had prostate cancer. Thre were 108 patients with PSA levels of 4-10 ng/ml and 18 of them were prostate cancer. TRUS was performed in 152 patients and 16 out of 58 patients diagnosed with prostate cancer, 3 out of 39 diagnosed with suspicious prostate cancer, and 2 out of 55 patients diagnosed as having no prostate cancer were found to have prostate cancer. In 40 patients, a nodule was palpated on DRE and 8 of them were found to have prostate cancer. Five out of 19 patients with a stony hard consistency, 3 of 12 with a firm to hard consisency, 12 of 129 with a firm consistency, 0 of 13 with a soft to firm consistency, and 2 of 8 with a soft consistency were prostate cancer. In the prostate cancer patients, there were 4 patients with PSA levels of 4 ng/ml or less and all these patients were diagnosed with prostate cancer or suspicious prostate cancer on TRUS but the nodule was not palpated in all patients. Two were soft and 2 were firm consistency on DRE. Conclusion: In patients with serum PSA levels of 10 ng/ml or less, TRUS is a more useful supporting method than DRE and a more active application of TRUS may lead to an early diagnosis and pertinent treatment of prostate cancer.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.22
• /
• pp.9841-9846
• /
• 2014

Objectives: To compare the metabolic indices, lipid profile, androgens, and prostate specific antigen between prostate cancer and BPH and between grades of prostate cancer in a cross-sectional study. Materials and Methods: The study enrolled 95 cases of prostate cancer and 95 cases of benign prostatic hyperplasia (BPH). Prostate gland volume was measured using transrectal ultrasound. We compared insulin, testosterone, dihydrotestosterone, prostate specific antigen levels and lipid profile between prostate cancer of different grades and BPH. Further, prostate cancer patients were classified into low grade and high grade. Unpaired t-test for normally distributed variables and Man-Whitney U test for non-normal variables were used to assess differences. Results: We found that prostate cancer patients had significantly higher levels of insulin, testosterone, PSA, cholesterol, triglycerides, low-density lipoprotein (LDL) and very low-density lipoprotein (VLDL) in comparison to their BPH counterparts. Higher levels of these parameters also correlated with a higher grade of the disease. Conclusions: We conclude that higher levels of insulin, testosterone, PSA, and cholesterol correlate with a higher risk of prostate cancer, and also with a higher grade of the disease.

• Journal of Preventive Medicine and Public Health
• /
• v.55 no.3
• /
• pp.243-252
• /
• 2022

Objectives: Very limited previous research has investigated the utility weights of prostate-related diseases in the general population in Korea. The purpose of this study was to calculate the utility of prostate-related health states in the Korean general public using the standard gamble (SG) method. Methods: Seven health states for hypothetical prostate cancers, 1 for benign prostate hyperplasia, and 1 for erectile dysfunction were developed based on patient education material and previous publications. In total, 460 responses from the Korean general population were used to analyze the utility of prostate-related health states. Computer-assisted personal interviews were conducted, and utility values were measured using a visual analogue scale (VAS) and SG. Mean utility values were calculated for each prostate-related health state. Results: The mean utility values of prostate cancer derived from SG ranged from 0.281 (metastatic castration-refractory prostate cancer) to 0.779 (localized prostate cancer requiring prostatectomy). The utility value of benign prostate hyperplasia was 0.871, and that of erectile dysfunction was 0.812. The utility values obtained using the SG method in all conditions were higher than the values obtained by VAS. There were no significant demographic variables affecting utility values in multivariate analysis. Conclusions: Our findings might be useful for economic evaluation and utility calculation of screening and interventions for prostate-related conditions in the general population.

• Journal of Information Processing Systems
• /
• v.9 no.1
• /
• pp.103-116
• /
• 2013

Prostate cancer is one of the most frequent cancers in men and is a major cause of mortality in the most of countries. In many diagnostic and treatment procedures for prostate disease accurate detection of prostate boundaries in transrectal ultrasound(TRUS) images is required. This is a challenging and difficult task due to weak prostate boundaries, speckle noise and the short range of gray levels. In this paper a method for automatic prostate segmentation in TRUS images using Gabor feature extraction and snake-like contour is presented. This method involves preprocessing, extracting Gabor feature, training, and prostate segmentation. The speckle reduction for preprocessing step has been achieved by using stick filter and top-hat transform has been implemented for smoothing the contour. A Gabor filter bank for extraction of rotation-invariant texture features has been implemented. A support vector machine(SVM) for training step has been used to get each feature of prostate and nonprostate. Finally, the boundary of prostate is extracted by the snake-like contour algorithm. A number of experiments are conducted to validate this method and results showed that this new algorithm extracted the prostate boundary with less than 10.2% of the accuracy which is relative to boundary provided manually by experts.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.11
• /
• pp.103-111
• /
• 2016

Traditionally, in the hospital the doctors saw the TRUS images by their eyes and manually segmented the boundary between the prostate and nonprostate. But the manually segmenting process not only needed too much time but also had different boundaries according to the doctor. To cope the problems, some automatic segmentations of the prostate have been studied to generate the constant segmentation results and get the belief from patients. Besides, on detecting the boundary, the ones in the middle of all images are easy to find the boundary but the base and apex of the images are hard to do it since there are lots of uncertain boundary. Accurate detection of prostate boundaries is a challenging and difficult task due to weak prostate boundaries, speckle noises and the short range of gray levels. In this paper, we propose the method that extracts a prostate boundary using features of its directions on prostate image. As a result of our experiments, it shows that the boundary never falls short of the existing methods or human expert's segmentation. And also, its searching speed is too fast because the method searches a smaller area that other methods.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.21
• /
• pp.9439-9444
• /
• 2014

Purpose: To identify prostate cancer lncRNAs using a pipeline proposed in this study, which is applicable for the identification of lncRNAs that are differentially expressed in prostate cancer tissues but have a negligible potential to encode proteins. Materials and Methods: We used two publicly available RNA-Seq datasets from normal prostate tissue and prostate cancer. Putative lncRNAs were predicted using the biological technology, then specific lncRNAs of prostate cancer were found by differential expression analysis and co-expression network was constructed by the weighted gene co-expression network analysis. Results: A total of 1,080 lncRNA transcripts were obtained in the RNA-Seq datasets. Three genes (PCA3, C20orf166-AS1 and RP11-267A15.1) showed a significant differential expression in the prostate cancer tissues, and were thus identified as prostate cancer specific lncRNAs. Brown and black modules had significant negative and positive correlations with prostate cancer, respectively. Conclusions: The pipeline proposed in this study is useful for the prediction of prostate cancer specific lncRNAs. Three genes (PCA3, C20orf166-AS1, and RP11-267A15.1) were identified to have a significant differential expression in prostate cancer tissues. However, there have been no published studies to demonstrate the specificity of RP11-267A15.1 in prostate cancer tissues. Thus, the results of this study can provide a new theoretic insight into the identification of prostate cancer specific genes.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.21
• /
• pp.9335-9339
• /
• 2014

Background: To determine the frequency of primary circulating prostate cells (CPC) detection according to age and serum PSA levels in a cohort of men undergoing screening for prostate cancer and to determine the diagnostic yield in those men complying with the criteria for prostate biopsy. Materials and Methods: A prospective study was carried out to analyze all men evaluated in a hospital prostate cancer screening program. Primary CPCs were obtained by differential gel centrifugation and detected using standard immunocytochemistry using anti-PSA, positive samples undergoing a second process with anti-P504S. A malignant primary CPC was defined as PSA+ P504S+, and a test positive if 1 cell/4ml was detected. The frequency of primary CPC detection was compared with age and serum PSA levels. Men with a PSA >4.0ng/ml and/or abnormal rectal examination underwent 12 core prostate biopsy, and the results were registered as cancer/no-cancer and compared with the presence/absence of primary CPCs to calculate the diagnostic yield. Results: A total of 1,117 men participated; there was an association of primary CPC detection with increasing age and increasing serum PSA. Some 559 men underwent initial prostate biopsy of whom 207/559 (37.0%) were positive for primary CPCs and 183/559 (32.0%) had prostate cancer detected. The diagnostic yield of primary CPCs had a sensitivity of 88.5%, a specificity of 88.0%, and positive and negative predictive values of 78.3% and 94.9%, respectively. Conclusions: The use of primary CPCs for testing is recommended, since its high negative predictive value could be used to avoid prostate biopsy in men with an elevated PSA and/or abnormal DRE. Men positive for primary CPCs should undergo prostate biopsy. It is a test that could be implemented in the routine immunocytochemical laboratory.