Image analysis in laryngopharyngeal reflux disease: A road less traveled

Background: Laryngopharyngeal reflux disease (LPRD) is a common condition affecting patients reporting to an otolaryngologist. However, the diagnosis of this condition is usually hinged on the combination of largely non-specific symptoms, and clinical findings on laryngoscopy. This study aimed at evaluating the utility of digital image analysis to quantitatively evaluate the severity of signs as recorded with laryngoscopy in patients of LPRD.

Methods: The study group included individuals who were aged between 18 and 65 years and reported to the ENT OPD. These were then divided into two groups depending on symptoms and laryngoscopic findings. The LPRD group had symptomatic patients with an Reflux finding score (RFS) score >7. Those with an RFS of <6 were designated as the 'Normal group'. The Laryngoscopic images were recorded and analyzed using Image J software as per the set protocol. The Red Green Blue (RGB) values of the laryngoscopic images of each group were obtained and subjected to statistical analysis.

Results: 200 participants were enrolled in the study with 100 participants in the LPRD group (mean age = 46.2, 40 males, 60 females) and 100 in the control group (mean age = 43.6, 55 males, 45 females). The measured RGB values were more in the LPRD group as compared to the control group and the results were statistically significant (P < 0.001).

Conclusion: By providing an objective value to the degree of inflammation, RGB value measurement provides a quick, economical, adaptable tool for auxiliary and corroborative information for the diagnosis of LPRD.