AIM： To evaluate the use of web-based technologies to assess the learning curve and reassess reproducibility of a simplified version of a classification for gastric magnification chromoendoscopy （MC）. METHODS： As ...AIM： To evaluate the use of web-based technologies to assess the learning curve and reassess reproducibility of a simplified version of a classification for gastric magnification chromoendoscopy （MC）. METHODS： As part of a multicenter trial, a hybrid approach was taken using a CD-ROM, with 20 films of MC lasting 5 s each and an ＂autorun＂ file triggering a local HTML frameset referenced to a remote questionnaire through an Internet connection. Three endoscopists were asked to prospectively and independently classify 10 of these films randomly selected with at least 3 d apart. The answers were centrally stored and returned to participants together with adequate feedback with the right answer. RESULTS： For classification in 3 groups, both intra- [Cohen＇s kappa （K） = 0.79-1.00 to 0.89-1.00] and inter-observer agreement increased from 1st （moderate） to 6th observation （k = 0.94）. Also, agreement with reference increased in the last observations （0.90, 1.00 and 1.00, for observers A, B and C, respectively）. Validity of 100% was obtained by all observers at their 4th observation. When a 4th （sub）group was considered, inter-observer agreement was almost perfect （K = 0.92） at 6th observation. The relation with reference clearly improved into K （0.93-1.00） and sensitivity （75%-100%） at their 6th observations. CONCLUSION： This MC classification seems to be easily explainable and learnable as shown by excellent intra- and inter-observer agreement, and improved agreement with reference. A web system such as the one used in this study may be useful for endoscopic or other image based diagnostic procedures with respect to definition, education and dissemination.展开更多
基金Sociedade Portuguesa de Endoscopia Digestiva (Research Grant 2002)the European Society for Gastrointestinal Endoscopy
文摘AIM： To evaluate the use of web-based technologies to assess the learning curve and reassess reproducibility of a simplified version of a classification for gastric magnification chromoendoscopy （MC）. METHODS： As part of a multicenter trial, a hybrid approach was taken using a CD-ROM, with 20 films of MC lasting 5 s each and an ＂autorun＂ file triggering a local HTML frameset referenced to a remote questionnaire through an Internet connection. Three endoscopists were asked to prospectively and independently classify 10 of these films randomly selected with at least 3 d apart. The answers were centrally stored and returned to participants together with adequate feedback with the right answer. RESULTS： For classification in 3 groups, both intra- [Cohen＇s kappa （K） = 0.79-1.00 to 0.89-1.00] and inter-observer agreement increased from 1st （moderate） to 6th observation （k = 0.94）. Also, agreement with reference increased in the last observations （0.90, 1.00 and 1.00, for observers A, B and C, respectively）. Validity of 100% was obtained by all observers at their 4th observation. When a 4th （sub）group was considered, inter-observer agreement was almost perfect （K = 0.92） at 6th observation. The relation with reference clearly improved into K （0.93-1.00） and sensitivity （75%-100%） at their 6th observations. CONCLUSION： This MC classification seems to be easily explainable and learnable as shown by excellent intra- and inter-observer agreement, and improved agreement with reference. A web system such as the one used in this study may be useful for endoscopic or other image based diagnostic procedures with respect to definition, education and dissemination.
