Annals of surgery
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The aim of this study was to characterize hospital-level variation and establish diagnostic performance benchmarks for postoperative imaging in children with complicated appendicitis. ⋯ Significant variation exists across hospitals in imaging practices to diagnose suspected OSI following appendectomy. Imaging utilization benchmarking may assist hospitals in prioritizing quality improvement efforts to optimize resource utilization and radiation stewardship.
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The primary objective of this study was to identify novel genes that predispose people in the Japanese population to FPC. ⋯ Our findings indicate that FPC patients harbor potentially deleterious causative germline variants in tumor suppressor genes, which are known to acquire somatic mutations in pancreatic cancer, and that somatic loss of heterozygosity of some FPC susceptibility genes may contribute to the development of FPC in the absence of somatic KRAS-activating mutation. Genetic testing for a wider variety of FPC-predisposition genes could provide better screening approach for high-risk groups of pancreatic cancer.
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Multicenter Study
Ten-year Evaluation of a Large Retrospective Cohort Treated by Sacral Nerve Modulation for Fecal Incontinence: Results of a French Multicenter Study.
The aim of this study was to assess the effectiveness of sacral nerve modulation (SNM) in a large cohort of patients implanted for at least 10 years, quantify adverse event rates, and identify predictive factors of long-term success. ⋯ Long-term efficacy was maintained in approximately half of the FI patients treated by SNM at least 10 years post-implantation.
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We aim to identify prognostic groups within a de novo metastatic cohort, incorporating both anatomic and biologic factors. ⋯ Both anatomic and biologic factors yielded reliable and reproducible prognostic estimates among patients with metastatic disease. These findings support formal stratification of de novo stage IV breast cancer into 3 distinct prognosis groups.
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The aim of this study was to build a SVM classifier using ResNet-3D algorithm by artificial intelligence for prediction of synchronous PC. ⋯ The ResNet3D + SVM classifier based on deep learning algorithm using ResNet-3D framework has shown great potential in prediction of synchronous PC in CRC.