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| 1 | Colonoscopic yield of colorectal neoplasia in daily clinical practice显示文摘AIM:To assess the prevalence and location of ad-vanced neoplasia in patients undergoing colonoscopy,and to compare the yield per indication.METHODS:In a multicenter colonoscopy survey (n = 18 hospitals) in the Amsterdam area (Northern Holland),data of all colonoscopies performed during a three month period in 2005 were analyzed. The location and the histological features of all colonic neoplasia were recorded. The prevalence and the distribution ofadvanced colorectal neoplasia and differences in yield between indication clusters were evaluated. Advanced neoplasm was defi ned as adenoma > 10 mm in size,with > 25% villous features or with high-grade dyspla-sia or cancer.RESULTS:A total of 4623 eligible patients underwent a total colonoscopy. The prevalence of advanced neo-plasia was 13%,with 281 (6%) adenocarcinomas and 342 (7%) advanced adenomas. Sixty-seven percent and 33% of advanced neoplasia were located in the distal and proximal colon,respectively. Of all patients with right-sided advanced neoplasia (n = 228),51% had a normal distal colon,whereas 27% had a syn-chronous distal adenoma. Ten percent of all colono-scopies were performed in asymptomatic patients,7% of whom had advanced neoplasia. In the respective procedure indication clusters,the prevalence of right-sided advanced neoplasia ranged from 11%-57%. CONCLUSION:One out of every 7-8 colonoscopies yielded an advanced colorectal neoplasm. Colonoscopy is warranted for the evaluation of both symptomatic and asymptomatic patients. | Jochim S Terhaar sive Droste Mike E Craanen Rene WM van der Hulst Joep F Bartelsman Dick P Bezemer Kim R Cappendijk Gerrit A Meijer Linde M Morsink Pleun Snel Hans ARE Tuynman Roy LJ van Wanrooy Eric IC Wesdorp Chris JJ Mulder | 2009 | World Journal of Gastroenterology2009，15，9： | 6 |
| 2 | Using Artificial Neural Networks to Predict the Fatigue Life of Carbon and Low -alloy Steels 显示文摘 | PLEUNE T CHOPRA O K | 2000 | Nuclear Engineering and Design2000，197，12： | 1 |
| 3 | Using artificial neural network to predict the fatigue life of carbon and low-alloy steels显示文摘 | ToddT Pleune Omesh K Chopra | 2000 | Nuclear Engineering and Design2000，197，1： | 1 |
| 4 | Synthesis of Cl2 InN3 ,Brz INN3, and related adducts 显示文摘 | Steffek C McMurran J Pleune B | 2000 | Inorg Chem2000，39，： | 1 |
| 5 | Using Artificial Neural Networks to Predict the Fatigue Life of Carbon and Low - alloy Steels 显示文摘 | PLEUNE T CHOPRA O K | 2000 | Nuclear Engineering and Design2000，197，12： | 1 |
| 6 | 显示文摘 | STEFFEK C MCMURRAN J PLEUNE B | 2000 | Inorg Chem2000，39，： | 1 |
| 7 | Using artificial neural networks to predict the fatigue life of carbon and low-alloy steels显示文摘 | Pleune T T Chopra O K | 2000 | Nuclear Engineering and Design2000，197，1： | 1 |
| 8 | Using Artificial Neural Networks to Predict the Fatigue Life of Carbon and Low-alloy Steels显示文摘 | PLEUNE T T CHOPRA O K | 2000 | Nuclear Engineering and Design2000，197，12： | 1 |
| 9 | Evaluation of immtmogenici- ty and efficacy of anthrax vaccine adsorbed for postexposure prophy- laxis 显示文摘 | Ionin B Hopkins R J Pleune B eta/ | 2013 | Clin Vaccine Immunol2013，20，7： | 1 |
| 10 | Synthesis of Cl2InN3,Br2InN3,and related adducts显示文摘 | Steffek C McMurran J Pleune B | 2000 | Inorg Chem2000，39，： | 1 |
| 11 | Inflammation and fatigue dimensions in advanced cancer patients and cancer survivors显示文摘 | Pleun J. de Raaf Stefan Sleijfer Cor H.J. Lamers Agnes Jager Jan Willem Gratama Carin C. D. van der Rijt | 2012 | Cancer2012，，23： | 1 |
| 12 | Using artificial neural networks to predict the fatigue life of carbon and low-alloy steels显示文摘 | T.Todd Pleune Omesh K Chopra | 2000 | Nuclear Engineering and Design2000，，1： | 1 |
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