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Objectives: To examine the global disease burden and country-specific trends of penile cancer incidence by age group and investigate its associations with several factors. Materials and Methods: The Global Cancer Observatory database was interrogated for penile cancer incidence. The 10-year cancer incidence rates were collected from the Cancer Incidence in Five Continents Plus. The country-specific data were extracted from the World Health Organization Global Health Observatory and Global Burden of Disease databases for conducting risk factors analysis. The penile cancer incidence was presented using age-standardised rates. Its associations with various factors were examined by linear regression, while the incidence trend was estimated using joinpoint regression and presented as average annual percentage change with 95% confidence intervals in different age groups. Results: There were an estimated 36 068 new cases of penile cancer in 2020. There was a considerable geographical disparity in the disease burden of penile cancer, with South America reporting the highest incidence. Overall, alcohol drinking, human immunodeficiency virus (HIV) infection, and unsafe sex were positively associated with a higher penile cancer incidence, while circumcision was found to be a protective factor. There has been a mixed trend in penile cancer incidence overall, but an increasing trend was found among younger males. Conclusions: There was a global variation in the penile cancer burden associated with prevalence of alcohol drinking, HIV infection, unsafe sex, and circumcision. The increasing penile cancer incidence in the younger population is worrying and calls for early detection and preventive interventions.

Craniosynostosis, characterized by premature fusion of one or more cranial sutures, results in a distorted skull shape. Only three studies have assessed facial asymmetry manually in unicoronal synostosis patients. It is therefore important to understand how uni- and bicoronal synostosis affect facial asymmetry with a minimum risk of human bias. An automated algorithm was developed to quantify facial asymmetry from three-dimensional images, generating a mean facial asymmetry (MFA) value in millimeters to reflect the degree of asymmetry. The framework was applied to analyze postoperative 3D images of syndromic patients (N = 35) diagnosed with Muenke syndrome, Saethre-Chotzen syndrome, and TCF12-related craniosynostosis with respect to MFA values from a healthy control group (N = 89). Patients demonstrated substantially higher MFA values than controls: Muenke syndrome (unicoronal 1.74 ± 0.40 mm, bicoronal 0.77 ± 0.21 mm), Saethre-Chotzen syndrome (unicoronal 1.15 ± 0.20 mm, bicoronal 0.69 ± 0.16 mm), and TCF12-related craniosynostosis (unicoronal 1.40 ± 0.51 mm, bicoronal 0.66 ± 0.05 mm), compared with controls (0.49 ± 0.12 mm). Longitudinal analysis identified an increasing MFA trend in unicoronal synostosis patients. Our study revealed higher MFA in syndromic patients with uni- and bicoronal synostosis compared with controls, with the most pronounced MFA in Muenke syndrome patients with unilateral synostosis. Bicoronal synostosis patients demonstrated higher facial asymmetry than expected given the condition's symmetrical presentation.

Background: Efficient identification of individuals at high risk of skin cancer is crucial for implementing personalized screening strategies and subsequent care. While Artificial Intelligence holds promising potential for predictive analysis using image data, its application for skin cancer risk prediction utilizing facial images remains unexplored. We present a neural network-based explainable artificial intelligence (XAI) approach for skin cancer risk prediction based on 2D facial images and compare its efficacy to 18 established skin cancer risk factors using data from the Rotterdam Study. Methods: The study employed data from the Rotterdam population-based study in which both skin cancer risk factors and 2D facial images and the occurrence of skin cancer were collected from 2010 to 2018. We conducted a deep-learning survival analysis based on 2D facial images using our developed XAI approach. We subsequently compared these results with survival analysis based on skin cancer risk factors using cox proportional hazard regression.Findings: Among the 2810 participants (mean Age = 68.5 ± 9.3 years, average Follow-up = 5.0 years), 228 participants were diagnosed with skin cancer after photo acquisition. Our XAI approach achieved superior predictive accuracy based on 2D facial images (c-index = 0.72, 95% CI: 0.70–0.74), outperforming that of the known risk factors (c-index = 0.59, 95% CI 0.57–0.61). Interpretation: This proof-of-concept study underscores the high potential of harnessing facial images and a tailored XAI approach as an easily accessible alternative over known risk factors for identifying individuals at high risk of skin cancer.

Background: Lower urinary tract symptoms (LUTS) are common complaint in urology practice and affecting the quality of life for patients. This article aims to perform a systematic review and meta-analysis on the global prevalence of LUTS overall, and according to different patient characteristics. Methods: We searched MEDLINE and Embase for population-based epidemiological studies reporting the prevalence of LUTS from inception to 1 Jan 2021. Studies which: (1) have enough information on sample size and prevalence; (2) investigate individuals aged 15 or above; and (3) have clear diagnostic criteria for LUTS. We extracted the following information: year of publication; name of the first author; study period; region of recruitment; race; age range; sex; severity; symptoms; and criteria. We pooled rate estimates with exact binomial and test score-based confidence intervals (CIs) using proportions with a random-effects model. Results: We included 222 studies from 36 countries involving 1,692,110 samples and 632,933 patients with LUTS. The overall prevalence of any and moderate-to-severe LUTS was 63.2% (95% CI = 58.0–68.1) and 31.3% (95% CI = 28.8–33.8), respectively. The most common symptom was storage symptoms (56.7%; 95% CI = 51.0–62.4), followed by voiding symptoms (36.4%; 95% CI = 27.8–45.4) and post-micturition symptoms (30.7%; 95% CI = 19.2–43.6). A higher prevalence of moderate-to-severe LUTS was observed in male subjects (35.2%; 95% CI = 32.1–38.5) and individuals aged ≥60 (39.0%; 95% CI = 33.4–44.8; I2 = 99.9%). Its prevalence increased from 27.4% (95% CI = 24.5–30.3) in 1990–1999, to 31.9% (95% CI = 27.3–36.7) in 2000–2009 and 36.2% (95% CI = 30.7–41.9) in 2010–2019. Conclusions: This study was the first comprehensive meta-analysis examining the global prevalence of LUTS. We identified a high level of LUTS prevalence in the general population, with a higher burden in male subjects, older individuals, and the Asian population. There has been an inc

Objectives: Oral conditions are of high prevalence and chronic character within the general population. Identifying the risk factors and determinants of oral disease is important, not only to reduce the burden of oral diseases, but also to improve (equal access to) oral health care systems, and to develop effective oral health promotion programs. Longitudinal population-based (birth-)cohort studies are very suitable to study risk factors on common oral diseases and have the potential to emphasize the importance of a healthy start for oral health. In this paper, we provide an overview of the comprehensive oral and craniofacial dataset that has been collected in the Generation R study: a population-based prospective birth cohort in the Netherlands that was designed to identify causes of health from fetal life until adulthood. Methods: Within the multidisciplinary context of the Generation R study, oral and craniofacial data has been collected from the age of 3 years onwards, and continued at the age of six, nine, and thirteen. Data collection is continuing in 17-year-old participants. Research outcomes: In total, the cohort population comprised 9749 children at birth, and 7405 eligible participants at the age of seventeen. Based on questionnaires, the dataset contains information on oral hygiene, dental visits, oral habits, oral health–related quality of life, orthodontic treatment, and obstructive sleep apnea. Based on direct measurements, the dataset contains information on dental caries, developmental defects of enamel, objective orthodontic treatment need, dental development, craniofacial characteristics, mandibular cortical thickness, and 3D facial measurements. Conclusions: Several research lines have been set up using the oral and craniofacial data linked with the extensive data collection that exists within the Generation R study. Clinical relevance: Being embedded in a multidisciplinary and longitudinal birth cohort study allows researchers to study severa

BACKGROUND: Testicular cancer is a common malignancy among young males in western countries. OBJECTIVE: To examine the global disease burden and trends of testicular cancer incidence and mortality by age and country, and their associations with human development index (HDI), gross domestic product (GDP), lifestyle habits, and metabolic risk factors. DESIGN, SETTING, AND PARTICIPANTS: We retrieved the Global Cancer Observatory database for the testicular cancer incidence and mortality in 2020; the World Bank for GDP per capita; the United Nations for HDI; the WHO Global Health Observatory for prevalence of smoking and alcohol drinking; and the Cancer Incidence in Five Continents, WHO mortality database, Surveillance, Epidemiology, and End Results programme and Nordic Cancer Registries (NORDCAN) for trend analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We presented the testicular cancer incidence and mortality using age-standardised rates. We examined their associations with HDI, GDP, smoking, alcohol drinking, physical inactivity, overweight, obesity, and medical conditions including diabetes, hypertension, and hypercholesterolaemia by linear regression. We estimated the 10-yr trend of incidence and mortality by joinpoint regression with average annual percentage change with 95% confidence intervals in different age groups. RESULTS AND LIMITATIONS: There was a wide variation in the testicular cancer burden with the highest mortality found in low-income countries, and the regions of Central America and South America, while the highest incidence was observed in high-income countries, especially in Western and Northern Europe. We found a positive association for HDI, GDP, alcohol drinking, inactivity, overweight, obesity, and hypercholesterolaemia with testicular cancer incidence, while a negative correlation was observed between GDP and mortality of testicular cancer. Globally, there was an overall increasing incidence trend of testicular cancer for the pas