Background: Many African American men have two major risk factors for prostate cancer. By ethnicity alone, they have twice the risk of Euro-American men of developing prostate cancer. Having a family history (brother or father with prostate cancer) also doubles their risk. The major hypotheses tested in this study are that men with a family history perceive their risk to be higher, are more worried about getting prostate cancer, and are more likely to have used cancer screening tests than men without such a history.
Methods: A sample of 208 African American men, ages 40 to 74 years, were recruited through relatives or friends whose prostate cancer diagnosis was reported to the California Cancer Registry during the years 1997 to 2001 and from churches and African American social groups. Following a screening interview to determine eligibility, 88 men with self-reported, first-degree family history of prostate cancer and 120 without such history were interviewed by telephone. Logistic regression was used to create models of perceived risk, prostate cancer worries, receipt of a digital rectal exam, and/or prostate-specific antigen (PSA) testing.
Results: Men with a self-reported family history of prostate cancer did not perceive their risk as higher than men without a family history, nor did they report more cancer worries. They were more likely to report having a recent PSA test, but not a digital rectal exam. Having a higher than average perceived risk was associated with younger age, a college education, and lower mental well-being, and reporting more prostate cancer worries and being more likely to have had a recent PSA test.
Conclusions: Although there continues to be controversy about PSA testing, these data suggest that African American men at above-average risk are inclined to be screened.
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http://dx.doi.org/10.1158/1055-9965.EPI-05-0738 | DOI Listing |
Eur J Nucl Med Mol Imaging
January 2025
Huashan Hospital and Human Phenome Institute, Fudan University, 220 Handan Road, Shanghai, 200433, China.
Objective: This study aims to conduct a bibliometric analysis to explore research trends, collaboration patterns, and emerging themes in the PET/MR field based on published literature from 2010 to 2024.
Methods: A detailed literature search was performed using the Web of Science Core Collection (WoSCC) database with keywords related to PET/MR. A total of 4,349 publications were retrieved and analyzed using various bibliometric tools, including VOSviewer and CiteSpace.
Aging (Albany NY)
January 2025
Department of Public Health Sciences, University of Chicago, Chicago, IL 60615, USA.
Background: DNA methylation (DNAm) data from human samples has been leveraged to develop "epigenetic clock" algorithms that predict age and other aging-related phenotypes. Some DNAm clocks were trained using DNAm obtained from blood cells, while other clocks were trained using data from diverse tissue/cell types. To assess how DNAm clocks perform across non-blood tissue types, we applied DNAm algorithms to DNAm data generated from 9 different human tissue types.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Institute for Health and Nursing Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Background: Cancer requires interdisciplinary intersectoral care. The Care Coordination Instrument (CCI) captures patients' perspectives on cancer care coordination. We aimed to translate, adapt, and validate the CCI for Germany (CCI German version).
View Article and Find Full Text PDFRandomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to real-world oncology patients. Although restrictive eligibility criteria contribute to this issue, the role of selection bias related to prognostic risk remains unclear. In this study, we developed TrialTranslator, a framework designed to systematically evaluate the generalizability of RCTs for oncology therapies.
View Article and Find Full Text PDFSci Rep
January 2025
Department of MRI, Zhongshan City People's Hospital, No. 2, Sunwen East Road, Shiqi District, Zhongshan, 528403, Guangdong, China.
To investigate the potential of an MRI-based radiomic model in distinguishing malignant prostate cancer (PCa) nodules from benign prostatic hyperplasia (BPH)-, as well as determining the incremental value of radiomic features to clinical variables, such as prostate-specific antigen (PSA) level and Prostate Imaging Reporting and Data System (PI-RADS) score. A restrospective analysis was performed on a total of 251 patients (training cohort, n = 119; internal validation cohort, n = 52; and external validation cohort, n = 80) with prostatic nodules who underwent biparametric MRI at two hospitals between January 2018 and December 2020. A total of 1130 radiomic features were extracted from each MRI sequence, including shape-based features, gray-level histogram-based features, texture features, and wavelet features.
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