Krishna Pondugula
University of Kansas
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Publication
Featured researches published by Krishna Pondugula.
Gastrointestinal Endoscopy | 2009
Amit Rastogi; Krishna Pondugula; Ajay Bansal; Sachin Wani; John Keighley; Jason Sugar; Peggy Callahan; Prateek Sharma
BACKGROUND The 2 main types of colon polyps are adenomas and hyperplastic. Pit patterns on the surface of polyps have been described by using magnification chromoendoscopy, which can help differentiate between polyp types. Narrow band imaging (NBI) is a novel technology that enhances the visualization of surface mucosal and vascular patterns on the polyp surface. Earlier we described, in a pilot study, patterns seen on the polyp surface with NBI that can help differentiate between adenomas and hyperplastic polyps with a high degree of accuracy. OBJECTIVE The aim of this study was to evaluate the interobserver and intraobserver agreement (among endoscopists) for the NBI surface mucosal and vascular patterns and prediction of polyp histology and the accuracy of the investigators to predict polyp histology based on these patterns. SETTING Kansas City Veterans Affairs Medical Center. METHODS NBI images of the polyp surface mucosal and vascular patterns obtained in our pilot trial were retrieved. A teaching set of 20 images was selected to educate and demonstrate the polyp patterns to 4 endoscopists. Subsequently, the test set of images was evaluated by the 4 endoscopists for quality, polyp pattern, and prediction of polyp type. Interobserver agreement (k value) was calculated among the 4 assessors for the polyp patterns and predicted histology. By using the final histology as the criterion standard, the accuracy of polyp-type prediction was calculated for each assessor. After a period of 2 months, all polyp images were reevaluated by the assessors (as before), and all findings were recorded in a similar fashion. These results were used for calculation of intraobserver agreement (k value) and the accuracy of the assessors in predicting polyp type. RESULTS Photographs of 65 polyps were included in the test set and were evaluated by the 4 assessors. Thirty-eight polyps were adenomatous, and 27 were hyperplastic. The kappa value for the interobserver agreement for polyp surface pattern was 0.57 (moderate) and for prediction of polyp type was 0.63 (substantial). The kappa value for the intraobserver agreement of the 4 assessors for the surface patterns was 0.70, 0.65, 0.60, and 0.79, and for the prediction of polyp type was 0.87, 0.71, 0.61, 0.81. The accuracy to predict polyp type ranged from 80% to 86% for the 4 assessors in the first reading and from 85% to 91% in the second reading, with every assessor showing an improvement in accuracy in the second reading. LIMITATIONS A single-center study, with a limited number of polyps. CONCLUSIONS This initial evaluation showed that the NBI polyp patterns described in our pilot study are reproducible, easy to learn, reasonably accurate, and have the potential for use in daily clinical practice for the real-time differentiation of colon polyps.
Endoscopy | 2011
Mandeep Singh; Ajay Bansal; Wouter L. Curvers; Mohammed A. Kara; Sachin Wani; L. Alvarez Herrero; Cristopher R. Lynch; M.C.A. van Kouwen; Frans Peters; John Keighley; A. Rastogi; Krishna Pondugula; R. Kim; Vikas Singh; Srinivas Gaddam; Jacques J. Bergman; Prashant Sharma
BACKGROUND AND STUDY AIMS The clinical utility of narrow-band imaging (NBI) for Barretts esophagus is limited by the multiplicity of classification schemes. We evaluated the interobserver agreement and accuracy of a new consensus-driven simplified binary classification of NBI surface patterns.
Gastroenterology | 2008
Sachin Wani; Ajay Bansal; Amit Rastogi; Krishna Pondugula; Sandy B. Hall; April D. Higbee; Prateek Sharma
calculated from cross-sectional CT images. Results: The prevalence for MS was 27% in the cases and 19% in the controls (p <0.001). Multivariate logistic regression analysis demonstrated that MS is associated with RE (OR = 1.42, 95% CI: 1.26-1.60, p <0.001). Among the individual components of MS, WC (OR = 1.47, 95% CI: 1.30-1.65, p <0.001) and elevated triglyceride (OR = 1.20, 95% CI: 1.05-1.36, p = 0.006) independently increased the risk for RE. Cases showed higher mean VAT (136.1 ± 57.8 vs. 124.0 ± 54.7, p <0.001) and SAT (145.9 ± 56.8 vs. 133.5 ± 50.7, p <0.001). However, only VAT was an independent risk factor for RE after adjusting for multiple confounders (OR for the highest quartile of VAT =1 .61, 95% CI: 1.10-2.36, p=0 . 014). Conclusions: MS was associated with RE. Abdominal obesity, especially visceral obesity was an important risk factor for RE. Associations of Abdominal Fat Area, Measured By Abdominal CT Scan, with Reflux Esophagitis after Age-, Sex-, and WC-matching
Current Gastroenterology Reports | 2007
Krishna Pondugula; Sachin Wani; Prateek Sharma
Gastroenterology | 2008
Sachin Wani; Richard E. Sampliner; Ajay Bansal; Amit Rastogi; Sharad C. Mathur; April D. Higbee; Lisa Camargo; Krishna Pondugula; Prateek Sharma
Cellular Oncology | 2009
Lorenza Alvarez Herrero; Wouter L. Curvers; Ajay Bansal; Sachin Wani; Mohammed A. Kara; Ed Schenk; Erik J. Schoon; Cristopher R. Lynch; Amit Rastogi; Krishna Pondugula; Bas L. Weusten; Prateek Sharma; Jacques J. Bergman
Gastrointestinal Endoscopy | 2008
Amit Rastogi; Sharad C. Mathur; Krishna Pondugula; Sachin Wani; Peggy Callahan; Ajay Bansal; John Keighley; Prateek Sharma
Gastrointestinal Endoscopy | 2008
Krishna Pondugula; Ajay Bansal; Sachin Wani; Sandy B. Hall; Amit Rastogi; Prateek Sharma
Gastrointestinal Endoscopy | 2008
Lorenza Alvarez Herrero; Wouter L. Curvers; Ajay Bansal; Sachin Wani; Mohammed A. Kara; Ed Schenk; Erik J. Schoon; Christopher R. Lynch; Amit Rastogi; Krishna Pondugula; Bas L. Weusten; Prateek Sharma; Jacques J. Bergman
Gastrointestinal Endoscopy | 2008
Ajay Bansal; Sharad C. Mathur; Sachin Wani; Krishna Pondugula; Amit Rastogi; Prateek Sharma