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Pleskow, Douglas K.

https://orcid.org/0000-0003-0092-9496

Mayo Clinic

Beth Israel Deaconess Medical Center

Citations 23

Correction: Learning curve and competence for volumetric laser endomicroscopy in Barrett’s esophagus using cumulative sum analysis
Inamdar, Sumant , Smith, Michael S. , Rosen, Lisa, Han, Dennis , Chang, Kenneth J. , Leggett, Cadman, Lightdale, Charles J. , Sejpal, Divyesh V., Tearney, Guillermo J. , Thomas, Rebecca, Wallace, Michael B. , Leggett, Cadman L. , Wallace, Michael B , Leggett, Cadman L , Trindade, Arvind J. , Pleskow, Douglas K.

Endoscopy | July 27, 2018 | Volume: 50 | Issue: 05 | Pages: C10-C10

10.1055/a-0658-2867 Get It

Learning curve and competence for volumetric laser endomicroscopy in Barrett’s esophagus using cumulative sum analysis
Inamdar, Sumant , Smith, Michael S. , Rosen, Lisa, Han, Dennis , Chang, Kenneth J. , Leggett, Cadman, Lightdale, Charles J. , Sejpal, Divyesh V., Tearney, Guillermo J. , Thomas, Rebecca, Wallace, Michael B. , Leggett, Cadman L. , Wallace, Michael B , Trindade, Arvind J. , Pleskow, Douglas K. , Leggett, Cadman L

Endoscopy | November 27, 2017 | Volume: 50 | Issue: 05 | Pages: 471-478

10.1055/s-0043-121569 Get It

Abstract Background and study aims Little is known about the learning curve for image interpretation in volumetric laser endomicroscopy (VLE) in Barrett’s esophagus (BE). The goal of this study was to calculate the learning curve, competence of image interpretation, sensitivity, specificity, and accuracy of VLE among novice users. Methods 31 novice users viewed 96 VLE images electronically at three academic institutions after a brief training session. There were 24 images of each histologic type: normal gastric cardia, normal esophageal squamous epithelium, non-neoplastic BE, and neoplastic BE. The users were asked to identify the correct tissue type and level of confidence. The cumulative summation (CUSUM) technique was used to construct a learning curve. Results 22 (71 %) of the physicians achieved VLE interpretation competency during their 96-slide review. Half of the physicians achieved competency at 65 images (95 % confidence interval [CI] 45 – 85). There was a statistically significant association between confidence in diagnosis and selecting the correct histologic tissue type (P < 0.001). The median accuracy for esophageal squamous epithelium, normal gastric cardia, non-neoplastic BE, and neoplastic BE was 96 % (95 %CI 95 % – 96 %), 95 % (95 %CI 94 % – 96 %), 90 % (95 %CI 88 % – 91 %), 96 % (95 %CI 95 % – 96 %). The overall accuracy was 95 % (95 %CI 93 % – 95 %). Conclusion The majority of novice users achieved competence in image interpretation of VLE for BE, using a pre-selected image set, with a favorable learning curve after a brief training session. An electronic review of VLE images, prior to real-time use of VLE, is encouraged.
Interobserver Agreement for Single Operator Choledochoscopy Imaging: Can We Do Better?
Sethi, Amrita , Doukides, Theodore , Sejpal, Divyesh V., Pleskow, Douglas K. , Slivka, Adam, Itoi, Takao , Petersen, Bret T. , Gress, Frank G., Gaidhane, Monica , Kahaleh, Michel , Kahaleh, Michel , Adler, Douglas G. , Shah, Raj J. , Edmundowicz, Steven A. , Petersen, Bret T. , Pleskow, Douglas

Diagnostic and Therapeutic Endoscopy | October 8, 2014 | Volume: 2014 | Issue: No issue available | Pages: 1-4

10.1155/2014/730731 Get It

Background. The SpyGlass Direct Visualization System (Boston Scientific, Natick, MA) is routinely used during single operator choledochoscopy (SOC) to identify biliary lesions or strictures with a diagnostic accuracy up to 88%. The objective of this study was to determine the interobserver agreement (IOA) of modified scoring criteria for diagnosing biliary lesions/strictures. Methods. 27 SPY SOC video clips were reviewed and scored by 9 interventional endoscopists based on published criteria that included the presence and severity of surface structure, vasculature visualization, lesions, and findings. Results. Overall IOA was “slight” for all variables. The K statistics are as follows: surface (K=0.12, SE = 0.02); vessels (K=0.14, SE = 0.02); lesions (K=0.11, SE = 0.02); findings (K=0.08, SE = 0.03); and final diagnosis (K=0.08, SE = 0.02). The IOA for “findings” and “final diagnosis” was also only “slight.” The final diagnosis was malignant (11), benign (11), and indeterminate (5). Conclusion. IOA using the modified criteria of SOC images was slight to almost poor. The average accuracy was less than 50%. These findings reaffirm that imaging criteria for benign and malignant biliary pathology need to be formally established and validated.