Background: Although body mass index has been shown to be associated with colon cancer, studies of rectal cancer risk have generally reported no association. The relationship between rectal cancer risk and central adiposity, overall fat mass, and fat-free mass is unknown.
Methods: In a prospective cohort study of people aged 27-75 years, body measurements were taken directly; fat mass and fat-free mass being estimated by bioelectrical impedance analysis and central adiposity by waist circumference and waist-to-hip ratio. Among 16,867 men and 24,247 women followed on average for 10.3 years, 229 rectal cancers were ascertained via the population cancer registry.
Results: When comparing the highest tertile with the lowest tertile, weight (hazard ratio = 1.4, 95% confidence interval (CI) 1.1-2.0), waist circumference (hazard ratio = 1.4, 95% CI 1.0-1.9), fat mass (hazard ratio = 1.4, 95% CI 1.0-2.0) and percent fat (hazard ratio = 1.4, 95% CI 1.0-2.0) were positively associated with rectal cancer risk. There was no evidence that risk differed by sex for any of the anthropometric measures.
Conclusions: Waist circumference and fat mass may be weakly related to risk of rectal cancer.
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http://dx.doi.org/10.1007/s10552-006-0074-y | 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.
EBioMedicine
January 2025
Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China. Electronic address:
Background: Neoadjuvant chemoradiotherapy (nCRT) is the standard for locally advanced rectal cancer (LARC). However, distant metastasis remains the primary cause of treatment failure. Early identification of high-risk individuals for personalized treatment may offer a solution.
View Article and Find Full Text PDFWorld J Gastrointest Oncol
January 2025
Department of Hepatobiliary and Pancreaticosplenic Surgery, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou 434100, Hubei Province, China.
Background: The liver, as the main target organ for hematogenous metastasis of colorectal cancer, early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of patients. Herein, this study aims to investigate the application value of a combined machine learning (ML) based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis (MLM).
Aim: To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal cancer.
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 Int
September 2024
Departments of Urology, All India Institute of Medical Sciences, New Delhi, India.
Introduction: Up to 40% of patients with suspected prostate cancer (PCa) have a negative prebiopsy magnetic resonance imaging (nMRI), and up to 15% of them may have clinically significant PCa (csPCa). The ability to predict the presence of csPCa despite nMRI may help avoid unnecessary biopsies. We aimed to determine the negative predictive value (NPV) of mpMRI, the influence of MRI reporting patterns in clinical practice, and the factors that might predict csPCa among men with an nMRI.
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