Publications by authors named "F Castro-Pocas"
Article Synopsis
- AI is revolutionizing gastroenterology, particularly in coloproctology, by improving diagnosis, treatment, and overall patient care.
- Notable applications include colonoscopy, where AI helps detect polyps and early signs of colorectal cancer, and capsule endoscopy, which ensures quick and accurate video readings for various anomalies.
- The article reviews current AI implementations in coloproctology and discusses potential future developments in the field.
Introduction: The most frequently used office-based procedures in hemorrhoidal disease (HD) are rubber band ligation (RBL) and sclerotherapy. Few studies have been published comparing the various types of instrumental therapy. The aim of this systematic review and meta-analysis was to compare the efficacy and safety of sclerotherapy and RBL.
View Article and Find Full Text PDFBackground: Colorectal anastomotic leakage (CAL), a severe postoperative complication, is associated with high morbidity, hospital readmission, and overall healthcare costs. Early detection of CAL remains a challenge in clinical practice. However, some decision models have been developed to increase the diagnostic accuracy of this event.
View Article and Find Full Text PDFBackground: Colorectal anastomotic leakage (CAL) is one of the most dreaded complications after colorectal surgery, with an incidence that can be as high as 27%. This event is associated with increased morbidity and mortality; therefore, its early diagnosis is crucial to reduce clinical consequences and costs. Some biomarkers have been suggested as laboratory tools for the diagnosis of CAL.
View Article and Find Full Text PDFPurpose: Polidocanol foam sclerotherapy (SP) versus doppler-guided hemorrhoidal artery ligation with recto-anal repair (HAL-RAR) in the treatment of hemorrhoidal disease (HD) was analyzed.
Methods: A prospective, randomized study including patients with HD grades II and III was performed. Participants were randomly assigned (1:1) into SP or HAL-RAR, during a recruitment period between September 2019 and February 2020.