Odze, Robert D.

INTRODUCTION: Wide-area transepithelial sampling with 3-dimensional computer-assisted analysis (WATS 3D ) has been shown to increase the detection rate of dysplasia (and intestinal metaplasia) in patients with Barrett's esophagus (BE). The purpose of this study was to evaluate the interobserver variability and accuracy of diagnosing BE-associated dysplasia in WATS 3D specimens among gastrointestinal (GI) pathologists without prior experience with this technology. METHODS: Five GI pathologists underwent a 4-hour in-person (at microscope) and virtual training session and then evaluated digital images of discrete cellular foci from 60 WATS 3D cases with BE (20 nondysplastic BE [NDBE], 20 low-grade dysplasia [LGD], and 20 high-grade dysplasia/esophageal adenocarcinoma [HGD/EAC]). Each case consisted of 1 hematoxylin and eosin–stained image (cell block), and 1 liquid cytology or papanicolaou-stained smear image (120 images in total). RESULTS: The overall kappa value among the 5 study pathologists was excellent (overall kappa = 0.93; kappa = 0.93 and 0.97 for cell block and smear specimens, respectively). There were no significant differences noted in kappa values in interpretation of the cell block vs smear specimens or in any of the individual diagnostic categories when the latter were evaluated separately. Furthermore, agreement was perfect (100%) regarding detection of neoplasia (either LGD, HGD, or EAC). Diagnoses were made with complete confidence in 91% of instances. DISCUSSION: We conclude that GI pathologists, without any prior experience in interpretation of WATS 3D specimens, can undergo a short training session and then diagnose these specimens with a very high level of accuracy and reproducibility.

Objective Effective medical therapy and validated trial outcomes are lacking for small bowel Crohn’s disease (CD) strictures. Histopathology of surgically resected specimens is the gold standard for correlation with imaging techniques. However, no validated histopathological scoring systems are currently available for small bowel stricturing disease. We convened an expert panel to evaluate the appropriateness of histopathology scoring systems and items generated based on panel opinion. Design Modified RAND/University of California Los Angeles methodology was used to determine the appropriateness of 313 candidate items related to assessment of CD small bowel strictures. Results In this exercise, diagnosis of naïve and anastomotic strictures required increased bowel wall thickness, decreased luminal diameter or internal circumference, and fibrosis of the submucosa. Specific definitions for stricture features and technical sampling parameters were also identified. Histopathologically, a stricture was defined as increased thickness of all layers of the bowel wall, fibrosis of the submucosa and bowel wall, and muscularisation of the submucosa. Active mucosal inflammatory disease was defined as neutrophilic inflammation in the lamina propria and any crypt or intact surface epithelium, erosion, ulcer and fistula. Chronic mucosal inflammatory disease was defined as crypt architectural distortion and loss, pyloric gland metaplasia, Paneth cell hyperplasia, basal lymphoplasmacytosis, plasmacytosis and fibrosis, or prominent lymphoid aggregates at the mucosa/submucosa interface. None of the scoring systems used to assess CD strictures were considered appropriate for clinical trials. Conclusion Standardised assessment of gross pathology and histopathology of CD small bowel strictures will improve clinical trial efficiency and aid drug development.

AbstractThe WHO Classification of Tumours provides the international standards for the classification and diagnosis of tumours. It enables direct comparisons to be made between different countries. In the new fifth edition, the series has gone digital with the launch of a website as well as a series of books, known widely as the WHO Blue Books. The first volume to be produced is on the classification of Digestive System tumours, replacing the successful 2010 version. It has been rewritten and updated accordingly. This article summarises the major diagnostic innovations that have occurred over the last decade and that have now been incorporated in the classification. As an example, it incorporates the recently proposed classification of neuroendocrine tumours, based on the recognition that neuroendocrine tumours and carcinomas differ substantially in the genetic abnormalities that drive their growth, findings relevant to treatment selection and outcome prediction. Several themes have emerged during the production process. One is the importance of the progression from hyperplasia to dysplasia to carcinoma in the evolution of the malignant process. Advances in imaging techniques and endoscopy have resulted in enhanced access to precancerous lesions in the gastrointestinal and biliary tract, necessitating both changes in classification schema and clinical practice. Diagnosis of tumours is no longer the sole purview of pathologists, and some patients now receive treatment before tissue is obtained, based on clinical, radiological and liquid biopsy results. This makes the classification relevant to many disciplines involved in the care of patients with tumours of the digestive system.

INTRODUCTION: Volumetric laser endomicroscopy (VLE) is a high-resolution imaging modality used in Barrett’s esophagus (BE) surveillance. Established VLE scoring systems use a combination of features to guide BE dysplasia diagnosis but it remains unclear whether these features are sufficient to reach optimal VLE diagnostic performance. This study explores an exhaustive list of VLE features using one-to-one imaging to pathology correlation to develop optimal VLE diagnostic models for BE dysplasia. METHODS: In this prospective, multi-center (5 sites) study, patients with dysplastic BE underwent VLE with laser targeted regions of interest (ROIs), followed by standard surveillance endoscopy and biopsy directed to laser-marked sites. Histology was reviewed by two GI pathologists (MV, RO) who achieved a consensus diagnosis (gold-standard). ROIs were dysplastic if low-grade dysplasia (LGD), high-grade dysplasia (HGD) or intramucosal adenocarcinoma (IMC) was present. Two VLE experts (CLL, GJT) reviewed ROIs and corresponding endoscopic images to identify and define a set of VLE features associated with BE dysplasia. A multi-variable logistic regression model based on least absolute shrinkage and selection operator (LASSO) method was developed to determine the optimal diagnostic performance of these features. A decision tree model with high clinical usability also was developed to evaluate VLE diagnostic performance for real-time image interpretation. RESULTS: A total of 461 VLE ROIs with matching histology were obtained from 150 patients (Table 1). A final dataset of 55 neoplastic (LGD, 12; HGD, 24; IMC, 19) and 56 randomly selected non-dysplastic ROIs were reviewed. Twenty-eight VLE features were identified describing layering, signal intensity, surface topography, and glandular characteristics. LASSO logistic regression modeling identified 5 VLE features which when utilized optimized diagnostic performance with an area under the curve (AUC) for BE dysplasia of 0.95 (Figure 1). To improve clinical usability, a decision tree model was optimized to three levels with an AUC of 0.90 (Figure 2). CONCLUSION: This study represents the most comprehensive review of VLE features associated with BE dysplasia to date. The proposed high-performing diagnostic models suggest that VLE can be used efficiently and effectively to enhance BE surveillance by identifying ROIs for targeted biopsy. Further validation of the proposed VLE models will determine their clinical utility.