Aims: Since 2020 there has been an increase in the number of polyps removed from patients scoped for the Bowel Cancer Screening Programme (BCSP) of England. General cellular pathology workload also continues to increase disproportionately ahead of consultant pathologist numbers in the United Kingdom. The Optical Diagnosis initiative for BCSP patients has not yet, and may not be, implemented at every hospital in England. The following study therefore aimed to determine whether only a certain number of removed polyps need to be histologically assessed to consistently guide a BCSP patient's post-polypectomy management, and whether all remaining smaller polyps beyond that number could then be discarded.
Methods: This retrospective study considered all BCSP specimens/cases submitted to the Cellular Pathology department of a large English teaching hospital from 2016 to 2024. Only cases with six or more resected polyps, for which the endoscopic report stated individual sizes, were included in the final study cohort.
Results: Of the 8066 BCSP cases submitted to the aforementioned department, there were six or more polyps for 345 cases. Analysis of the final study cohort of 135 cases showed that assessment of the seven largest polyps measured endoscopically was sufficient to correctly guide follow-up management of the BCSP patient as per the 2020 British Society of Gastroenterology post-polypectomy guidelines.
Conclusions: When colonoscopy of a BCSP patient leads to removal of multiple polyps, only the seven largest polyps need to be assessed histologically and the remaining smaller polyps could be discarded with no impact to the patient's BCSP-related management.
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http://dx.doi.org/10.1111/his.15337 | DOI Listing |
Nutrients
December 2024
Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-000, SP, Brazil.
The microbiota stability, diversity, and composition are pillars for an efficient and beneficial symbiotic relationship between its host and itself. Microbial dysbiosis, a condition where a homeostatic bacterial community is disturbed by acute or chronic events, is a predisposition for many diseases, including local and systemic inflammation that leads to metabolic syndrome, diabetes, and some types of cancers. Classical dysbiosis occurs in the large intestine.
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December 2024
Laboratory of Molecular Microbiology and Biotechnology, Department of Biology, Faculty of Sciences, University of Chile, Santiago 7800003, Chile.
Polyphosphates are biopolymers composed of phosphate monomers linked by high-energy phosphoanhydride bonds. They are present across all life domains, serving as a source of energy, metal chelators, and playing a crucial role in stress defense. In , polyphosphates also function as inorganic molecular chaperones.
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Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias, Consejo Superior de Investigaciones Científicas (IPLA-CSIC), 33011 Oviedo, Spain.
Colorectal cancer (CRC) development is a gradual process in which progressive histological alterations of the intestinal mucosa damage occur over years. This process can be influenced by modifiable external factors such as lifestyle and diet. Most CRC cases (>80%) originate from conventional adenomas through the adenomatous pathway and usually harbour dysplastic cells, whereas the serrated pathway is less frequent (<20% cases) and comprises hyperplastic polyps and other polyps containing dysplastic cells.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Health Sciences, Università Del Piemonte Orientale, 28100 Novara, Italy.
An increasingly important role for gut microbiota in the initiation and progression of colorectal cancer (CRC) has been described. Even in the early stages of transformation, i.e.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Microbiology, Faculty of Medicine, Khon Kaen University, Mueang Khon Kaen, Khon Kaen 40002, Thailand.
Sinonasal squamous cell carcinoma (SNSCC) is a rare tumor with a high 5-year mortality rate. However, proteomic technologies have not yet been utilized to identify SNSCC-associated proteins, which could be used as biomarkers. In this study, we aimed to discover a biomarker to predict SNSCC patients using proteomic analysis integrated with machine learning models.
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