Methods Inf Med - Quantitative conjunctival provocation test for controlled clinical trials.

Tópicos

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Resumo

CKGROUND: The conjunctival provocation test (CPT) is a diagnostic procedure for the assessment of allergic diseases. Photographs are taken before and after provocation increasing the redness of the conjunctiva due to hyperemia.OBJECTIVE: We propose and evaluate an automatic image processing pipeline for objective and quantitative CPT.METHOD: After scale normalization based on intrinsic image features, the conjunctiva region of interest (ROI) is segmented combining thresholding, edge detection and Hough transform. Redness of the ROI is measured from 0 to 1 by the average pixel redness, which is defined by truncated projection in HSV space. In total, 92 images from an observational diagnostic study are processed for evaluation. The database contains images from two visits for assessment of the test-retest reliability (46 images per visit).RESULT: All images were successfully processed by the algorithm. The relative redness increment correlates between the two visits with Pearson's r = 0.672 (p < .001). Linear correlation of the automatic measure is larger than the manual measure (r = 0.59). This indicates a higher reproducibility and stability of the automatic method.CONCLUSION: We presented a robust and effective way to objectify CPT. The algorithm operates on low resolution, is fast and requires no manual input. Quantitative CPT measures can now be established as surrogate endpoint in controlled clinical trials.

Resumo Limpo

ckground conjunctiv provoc test cpt diagnost procedur assess allerg diseas photograph taken provoc increas red conjunctiva due hyperemiaobject propos evalu automat imag process pipelin object quantit cptmethod scale normal base intrins imag featur conjunctiva region interest roi segment combin threshold edg detect hough transform red roi measur averag pixel red defin truncat project hsv space total imag observ diagnost studi process evalu databas contain imag two visit assess testretest reliabl imag per visitresult imag success process algorithm relat red increment correl two visit pearson r p linear correl automat measur larger manual measur r indic higher reproduc stabil automat methodconclus present robust effect way objectifi cpt algorithm oper low resolut fast requir manual input quantit cpt measur can now establish surrog endpoint control clinic trial

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