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| 1 | Randomised controlled trial comparing modified Sano's and narrow band imaging international colorectal endoscopic classifications for colorectal lesions显示文摘AIM To assess the utility of modified Sano′s(MS) vs thenarrow band imaging international colorectal endoscopic(NICE) classification in differentiating colorectal polyps.METHODS Patients undergoing colonoscopy between 2013 and 2015 were enrolled in this trial.Based on the MS or the NICE classifications,patients were randomised for real-time endoscopic diagnosis.This was followed by biopsies,endoscopic or surgical resection.The endoscopic diagnosis was then compared to the final(blinded) histopathology.The primary endpoint was the sensitivity(Sn),specificity(Sp),positive predictive value(PPV) and negative predictive value(NPV) of differentiating neoplastic and non-neoplastic polyps(MSⅡ/Ⅱo/Ⅲa/Ⅲb vs I or NICE 1 vs 2/3).The secondary endpoints were 'endoscopic resectability'(MSⅡ/Ⅱo/Ⅲa vs Ⅰ/Ⅲb or NICE 2 vs 1/3),NPV for diminutive distal adenomas and prediction of post-polypectomy surveillance intervals.RESULTS A total of 348 patients were evaluated.The Sn,Sp,PPV and NPV in differentiating neoplastic polyps from non-neoplastic polyps were,98.9%,85.7%,98.2% and 90.9% for MS;and 99.1%,57.7%,95.4% and 88.2% for NICE,respectively.The area under the receiver operating characteristic curve(AUC) for MS was 0.92(95%CI:0.86-0.98);and AUC for NICE was 0.78(95%CI:0.69,0.88).The Sn,Sp,PPV and NPV in predicting 'endoscopic resectability' were 98.9%,86.1%,97.8% and 92.5% for MS;and 98.6%,66.7%,94.7% and 88.9% for NICE,respectively.The AUC for MS was 0.92(95%CI:0.87-0.98);and the AUC for NICE was 0.83(95%CI:0.75-0.90).The AUC values were statistically different for both comparisons(P = 0.0165 and P = 0.0420,respectively).The accuracy for diagnosis of sessile serrated adenoma/polyp(SSA/P) with high confidence utilizing MS classification was 93.2%.The differentiation of SSA/P from other lesions achieved Sp,Sn,PPV and NPV of 87.2%,91.5%,89.6% and 98.6%,respectively.The NPV for predicting adenomas in diminutive rectosigmoid polyps(n = 150) was 96.6% and 95% with MS and NICE respectively.The calculated accuracy of post-polypectomy surveillance for MS group was 98.2%(167 out of 170) and for NICE group was 92.1%(139 out of 151).CONCLUSION The MS classification outperformed the NICE classification in differentiating neoplastic polyps and predicting endoscopic resectability.Both classifications met ASGE PIVI thresholds. | Leonardo Zorrón Cheng Tao Pu Kuan Loong Cheong Doreen Siew Ching Koay Sze Pheh Yeap Amanda Ovenden Mahima Raju Andrew Ruszkiewicz Philip W Chiu James Y Lau Rajvinder Singh | 2018 | World Journal of Gastrointestinal Endoscopy2018，10，9： | 4 |
| 2 | Extreme learning machine: Theory and applications 显示文摘 | HUANG G B ZHU Q Y SIEW C K | 2006 | Neurocomputing2006，70，13： | 1 |
| 3 | Extreme learning machine: theory and applications显示文摘 | Huang G B Zhu Q Y Siew C K | 2006 | Neurocomputing2006，70，12： | 1 |
| 4 | Extreme learning machine: theory and applications显示文摘 | Huang G B Zhu Q Y Siew C K | 2006 | Neurocomputing2006，70，： | 1 |
| 5 | Extreme learning machine: theory and applications显示文摘 | Huang G B Zhu Q Y Siew C K | 2006 | Neurocomputing2006，70，13： | 1 |
| 6 | Extreme learning machine:theory and applications显示文摘 | HUANG G B ZHU Q Y SIEW C K | 2006 | Neurocomputing2006，70，1： | 1 |
| 7 | Extreme learning machine : Theory and applications 显示文摘 | HUANG G B ZHU Q Y SIEW C K | 2006 | Neurocomputing2006，70，： | 1 |
| 8 | The physicochemical properties of spray-dried watermelon powders显示文摘 | Siew Y Q Ngan K C Peter S | 2007 | Chemical Engineering and Processing2007，46，： | 1 |
| 9 | Dynamical Cognitive Network-an Extension of Fuzzy Cognitive Map显示文摘 | Y MIAO ZQ LIU CK SIEW CY MIAO | 2001 | IEEE Transactions on Fuzzy Systems2001，，5： | 1 |
| 10 | Extreme learning machine:theory and applications 显示文摘 | Huang G B Zhu Q Y Siew C K | 2006 | Neurocomputing2006，60，： | 1 |
| 11 | In vitro characterization of chitosan - gelatin scaffolds for tissue engineering 显示文摘 | HUANG Y ONYERI S SIEWE M | 2005 | Biomateri- als2005，26，36： | 1 |
| 12 | Extreme learning machine : a new learning scheme of feedforward neural networks显示文摘 | Huang G B Zhu Q Y Siew C K | 2004 | Neu- rocomputing2004，2，2： | 1 |
| 13 | Changes of volatiles attribute in durian pulp during freeze- and spraydrying process显示文摘 | Song T C Sheikh A H N Siew Y Q | 2008 | LWT - Food Science and Technology2008，10，： | 1 |
| 14 | Extreme learning ma- chine: Theory and applications 显示文摘 | Huang G B Zhu Q Y Siew C K | 2006 | Neurocomputing2006，70，13： | 1 |
| 15 | Extreme learning machine: theory and applications 显示文摘 | HUANG G B ZHU Q Y SIEW C K | 2006 | Neurocomputing2006，7，13： | 1 |
| 16 | Do Chinese Trust Chinese? A Study of Chinese Buyers and Sellers in Malaysia显示文摘 | ARMSTRONG W R SIEW M Y | 2001 | Journal of International Marketing2001，9，3： | 1 |
| 17 | Extreme learning machine: theory and applications显示文摘 | Huang G B Zhu Q Y Siew C K | 2006 | Neurocomputing2006，70，13： | 1 |
| 18 | Extreme learning machine : Theory and applications 显示文摘 | HUANG G B ZHU Q Y SIEW C K | 2006 | Neural Computa- tion2006，70，： | 1 |
| 19 | Extreme Learning Machine:Theory and Applications显示文摘 | Huang G B Zhu Q Y Siew C K | | 0，，1： | 1 |
| 20 | Extreme Learning Machine:Theory and Applications显示文摘 | Huang G B Zhu Q Y Siew C K | | 0，，1： | 1 |
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