CEDAS - Center for Esophageal Disease and Swallowing
UNC EoE clinical predictor calculator

This calculator is designed to compute the probability that a patient has EoE based on immunohistochemistry staining of an esophageal biopsy. To use this, enter the staining density (in cells/mm2) for basic protein, eotaxin-3, and tryptase in the boxes below and press calculate. The probability of a diagnosis of EoE will be displayed. If values are only available in cell counts (cells/high-power field), select the radio button for using the cell count, input the high-power field size, and then enter staining values.

More information about The UNC Center for Esophageal Disease and Swallowing is available on the CEDAS Clinical website and the CEDAS Research website.

please select the method calculating EoE probability

  Use cell density (cell/mm2)
  Use cell count (cell/hpf)
Cell Density
Major basic protein (cells/mm2)
Eotaxin-3 (cells/mm2)
Tryptase (cells/mm2)
Cell Count
High power field size (mm2)
Major basic protein (cells/hpf)
Eotaxin-3 (cells/hpf)
Tryptase (cells/hpf)
Probability of EoE
0
(Disclaimer: This calculator uses data derived from a specific IHC staining and image analysis protocol and may not be valid for different staining protocols or image analysis techniques. This calculator does not replace a clinical evaluation or the independent judgement of a qualified medical professional and should not be used in isolation for patient care. UNC and its affiliates, employees, associates, and related entities cannot and will not be held legally, financially, or medically responsible for decisions made using this calculator. It is provided as a supplemental tool for the use of medical professionals only.)
This work was conducted with support, in part, by grants from the CURED Foundation, the AGA-June and Donald O. Castell, MD Esophageal Clinical Research Award, and NIH K23 DK090073. It also utilized the Histology Core of the UNC Center for Gastrointestinal Biology and Disease (NIH P30DK034987) and the UNC Translational Pathology Lab (NIH P30CA016086). The full methodology is described in Clin Gastroenterol Hepatol, 2014; 18: 1278-83.