RESUMEN
BACKGROUND: As the serrated pathway has gained prominence as an alternative colorectal carcinogenesis pathway, sessile serrated adenomas or polyps (SSA/P) have been highlighted as lesions to rule out during colonoscopy. These lesions are however morphologically difficult to detect on endoscopy and can be mistaken for hyperplastic polyps due to similar endoscopic features. With the underlying nature of rapid progression and malignant transformation, interval cancer is a likely consequence of undetected or overlooked SSA/P. Real-time artificial intelligence (AI)-assisted colonoscopy via the computer-assisted detection system (CADe) is an increasingly useful tool in improving adenoma detection rate by providing a second eye during the procedure. In this article, we describe a guide through a video to illustrate the detection of SSA/P during AI-assisted colonoscopy. METHODS: Consultant-grade endoscopists utilized real-time AI-assisted colonoscopy device, as part of a larger prospective study, to detect suspicious lesions which were later histopathologically confirmed to be SSA/P. RESULTS: All lesions were picked up by the CADe where a real-time green box highlighted suspicious polyps to the clinician. Three SSA/P of varying morphology are described with reference to classical SSA/P features and with comparison to the features of the hyperplastic polyp found in our study. All three SSA/P observed are in keeping with the JNET Classification (Type 1). CONCLUSION: In conclusion, CADe is a most useful aid to clinicians during endoscopy in the detection of SSA/P but must be complemented with factors such as good endoscopy skill and bowel prep for effective detection, and biopsy coupled with subsequent accurate histological diagnosis.
Asunto(s)
Adenoma , Pólipos del Colon , Neoplasias Colorrectales , Neoplasias Gastrointestinales , Humanos , Pólipos del Colon/diagnóstico , Pólipos del Colon/patología , Neoplasias Colorrectales/diagnóstico , Neoplasias Colorrectales/patología , Estudios Prospectivos , Inteligencia Artificial , Colonoscopía/métodos , Adenoma/diagnóstico , Adenoma/patologíaRESUMEN
INTRODUCTION: This is a retrospective analysis of outcomes by Singapore Medical Council (SMC) disciplinary tribunals in cases involving junior doctors. We aimed to classify the types of unprofessional behaviour and consider appropriate measures for remediation and prevention. METHODS: SMC's annual reports from 1979 to 2017 and published grounds of decision from 2008 to 2017 were examined using two screening levels to identify cases involving junior doctors. Cases were sorted into five outcome categories: (a) professional misconduct; (b) fraud and dishonesty; (c) defect in character; (d) disrepute to the profession; and (e) acquitted. RESULTS: A total of 317 cases were identified, of which 13 (4.1%) involved junior doctors: 4 (30.8%) cases involved professional misconduct, 4 (30.8%) cases involved fraud and dishonesty, 3 (23.1%) cases saw an acquittal, and one case each involved defect in character and disrepute to the profession. The four cases of professional misconduct highlight the need to differentiate medical errors due to systems factors from those due to individual culpability, by applying analytical tools such as root cause analysis and Unsafe Act Algorithms. Disciplining the individual alone does not help prevent the recurrence of similar medical errors. We found that fraud and dishonesty was an important category of unprofessional behaviour among junior doctors. CONCLUSION: While the frequency of unprofessional behaviour among junior doctors, as determined by the SMC disciplinary tribunal, is low (4.1%), this study highlights that complaints against medical doctors often involve systems issues and individual factors. Unprofessional behaviours related to fraud and dishonesty need special attention in medical school.