Objective: To investigate serum prostate specific antigen (PSA) levels with age and sex in childhood.
Subjects And Methods: This prospective study included 205 children (123 boys, 82 girls; mean age 59.27 months, sd 3.78, range 2 days to 204 months) with no urogenital or endocrine disorders. PSA levels were measured using a highly sensitive, "third-generation" PSA (time-resolved immunofluorometric) assay, able to detect PSA levels of > or = 1 ng/L (0.001 ng/mL). Children were divided into four groups by age, i.e. A (0-12 months; 34 boys/20 girls); B (13-48, 37/21); C (49-144, 41/32); and D (> 144, 11/9). The data were analysed statistically using analysis of variance.
Results: An accurate measurement of PSA was possible in both sexes using the assay. The median (sd, range) PSA level in boys was 38.41 (1.318, 1-2768) ng/L, and in girls 4.059 (1.392, 1-287) ng/L. There were no significant differences between girls at all age groups, or between the sexes for groups A-C, but levels were significantly higher in boys in group D (30 times that in girls), at 142.59 (1.53) and 4.85 (1.58) ng/L (P < 0.01).
Conclusions: PSA levels do not differ significantly between boys and girls until 12 years old, after which there is a significant and steep increase in PSA in boys, reflecting the development of the prostate. Assessing PSA in children could be used as a potential marker in the diagnosis and follow-up of urogenital disorders.
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http://dx.doi.org/10.1111/j.1464-410X.2003.04740.x | DOI Listing |
Urology
January 2025
S.H. Ho Urology Centre, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.
Objectives: To evaluate the impact of Aquablation on circulating tumor cells (CTCs) in men with localized prostate cancer.
Methods: This prospective study included subjects with biopsy-positive mpMRI visible lesions (PIRADS ≥ 3) who underwent Aquablation. Ten ml blood samples were collected before, during and after the procedure to measure CTC counts using an immunofluorescence assay.
Prostate Int
September 2024
Gazi University School of Medicine, Urology Department, Ankara, Turkey.
Aim: To investigate the predictive value of lesion length in multiparametric prostate magnetic resonance imaging with respect to prostate volume for clinically significant prostate cancer diagnosis in targeted biopsies.
Materials And Methods: The data of biopsy-naïve patients in the Turkish Urooncology Association Prostate Cancer Database who underwent targeted prostate biopsies were included in this study. Lesion density is calculated as the ratio of lesion length (mm) in MR to prostate volume (cc).
Prostate
January 2025
Department of Urology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Background: Differences in the effectiveness of second-generation androgen receptor axis-targeted agents (ARATs) in high-risk metastatic hormone-sensitive prostate cancer (mHSPC) remain unclear. This study aimed to identify the factors influencing the efficacy of ARATs in patients with high-risk mHSPC and compare their long-term effectiveness.
Methods: Four hundred and sixty-six patients with mHSPC treated with ARATs were retrospectively recruited from our hospital and affiliated hospitals of the Kindai Oncology Study Group and Kyoto Prefectural University of Medicine Oncology Study Group between December 2013 and March 2024.
Sci Rep
January 2025
Department of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Prostate cancer (PCa) is one of the most common cancers among men worldwide, and robot-assisted radical prostatectomy (RARP) is a widely used treatment for localized PCa. Achieving pentafecta outcomes, which include continence, potency, cancer control, free surgical margins, and no major complications, is a critical measure of surgical success and long-term prognosis. However, predicting these outcomes remains challenging.
View Article and Find Full Text PDFNeural Netw
January 2025
Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China; Center of Intelligent Computing, School of Mathematics, East China University of Science and Technology, Shanghai 200237, China. Electronic address:
Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli. Innovative methods to decode ERPs could enhance the accuracy of brain-computer interface (BCI) technology and promote the understanding of cognitive processes. This paper proposes a novel Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network (MS-PSA-SOC) for ERP Detection.
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