scholarly journals S452 Quantitative Analysis of the Tug Sign in Adults: An Endoscopic Finding of Eosinophilic Esophagitis

2021 ◽  
Vol 116 (1) ◽  
pp. S201-S201
Author(s):  
Alexander Hooper ◽  
Eric Pasman ◽  
Steve B. Min ◽  
Fouad J. Moawad
2020 ◽  
Vol 158 (6) ◽  
pp. S-183-S-184
Author(s):  
Eric A. Pasman ◽  
Zachary S. Rubin ◽  
Nathan Kolasinski ◽  
Daniel Brooks ◽  
Carolyn Sullivan ◽  
...  

2021 ◽  
Vol 34 (Supplement_1) ◽  
Author(s):  
Maki Ayaki ◽  
Noriaki Manabe ◽  
Ken Haruma ◽  
Jun Nakamura ◽  
Minoru Fujita ◽  
...  

Abstract   Pathological identification of esophageal eosinophilia (EE) is considered to be most important and critical step for diagnosis of eosinophilic esophagitis (EoE). Although several endoscopic findings related with EoE have been reported, it is still difficult to exclude other causes of EE, such as gastroesophageal reflux disease. Here, we noted a novel endoscopic finding related with EoE termed ‘Caterpillar sign’. The aim of this study was to evaluate its clinical significance for the diagnosis of EoE. Methods One hundred and seventy-four patients who were endoscopically suspected with EoE at our hospital and affiliated institutions were enrolled. EoE was defined clinically by symptoms of esophageal dysfunction and histologically by the presence of EE [≧15 eosinophils/high power field (HPF)]. Endoscopic findings at baseline were retrospectively reviewed. ‘Caterpillar sign’ was defined as a stair-like, fragile, slight mucosal protruded lesion sandwiched between longitudinal furrows, such as the Caterpillar traces remaining on the ground (Figure). Furthermore, the clinicopathological features of patients having ‘Caterpillar sign’ were evaluated. Results One hundred and seventy-four patients (92 males, 82 females with mean age of 49.7) suspected with EoE were evaluated, of whom 60 (34.5%) was finally diagnosed as EoE. ‘Caterpillar sign’ was found in 48 patients (80.0%). Sensitivity and Specificity of ‘Caterpillar sign’ for the diagnosis of EoE was 0.80 (95% confidence interval [CI] 0.72–0.85) and 0.94 (95% CI 0.90–0.97), respectively. Furthermore, the presence of ‘Caterpillar sign’ was associated with degree of eosinophil infiltration (Caterpillar sign positive: 42.9 ± 49.3/HPF vs. Caterpillar sign negative: 6.7 ± 24.4/HPF, p < 0.0001). Conclusion This novel finding termed ‘Caterpillar sign’ was clinically useful for the definitive diagnosis of EoE and associated with degree of eosinophil infiltration.


2004 ◽  
Vol 38 (2) ◽  
pp. 208-212 ◽  
Author(s):  
Shikha Sundaram ◽  
Bhanu Sunku ◽  
Suzanne P. Nelson ◽  
Timothy Sentongo ◽  
Hector Melin-Aldana ◽  
...  

2016 ◽  
Vol 83 (1) ◽  
pp. 92-100 ◽  
Author(s):  
Evan S. Dellon ◽  
Jessica H. Gebhart ◽  
Leana L. Higgins ◽  
Kelly E. Hathorn ◽  
John T. Woosley ◽  
...  

2013 ◽  
Vol 144 (5) ◽  
pp. S-486 ◽  
Author(s):  
Jessica H. Gebhart ◽  
Kelly E. Hathorn ◽  
Nicholas J. Shaheen ◽  
Evan S. Dellon

Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.


Author(s):  
V. V. Damiano ◽  
R. P. Daniele ◽  
H. T. Tucker ◽  
J. H. Dauber

An important example of intracellular particles is encountered in silicosis where alveolar macrophages ingest inspired silica particles. The quantitation of the silica uptake by these cells may be a potentially useful method for monitoring silica exposure. Accurate quantitative analysis of ingested silica by phagocytic cells is difficult because the particles are frequently small, irregularly shaped and cannot be visualized within the cells. Semiquantitative methods which make use of particles of known size, shape and composition as calibration standards may be the most direct and simplest approach to undertake. The present paper describes an empirical method in which glass microspheres were used as a model to show how the ratio of the silicon Kα peak X-ray intensity from the microspheres to that of a bulk sample of the same composition correlated to the mass of the microsphere contained within the cell. Irregular shaped silica particles were also analyzed and a calibration curve was generated from these data.


Author(s):  
H.J. Dudek

The chemical inhomogenities in modern materials such as fibers, phases and inclusions, often have diameters in the region of one micrometer. Using electron microbeam analysis for the determination of the element concentrations one has to know the smallest possible diameter of such regions for a given accuracy of the quantitative analysis.In th is paper the correction procedure for the quantitative electron microbeam analysis is extended to a spacial problem to determine the smallest possible measurements of a cylindrical particle P of high D (depth resolution) and diameter L (lateral resolution) embeded in a matrix M and which has to be analysed quantitative with the accuracy q. The mathematical accounts lead to the following form of the characteristic x-ray intens ity of the element i of a particle P embeded in the matrix M in relation to the intensity of a standard S


Author(s):  
John A. Hunt

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].


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