RESUMEN
Background Recurrent aphthous stomatitis (RAS) is a chronic oral ulcerative condition with an elusive etiology that is associated with excruciating pain. Psychological factors have been suspected as a possible risk factor in its onset and development. Depression, anxiety, and stress play pivotal roles in how people experience pain. Hence, we aimed to explore the relationship between depression, anxiety, stress, and the severity of pain perceived due to recurrent ulcers in RAS patients. Materials and methods A cross-sectional comparative study was conducted on 248 patients, comprising 124 diagnosed with RAS and 124 healthy subjects without this oral condition. Patients from both of these groups were matched with regard to age and sex and recruited over a period of one year from a dental hospital in Bengaluru, India. Patients with any other oral lesions, painful oral conditions, or systemic and psychological illnesses were excluded. Depression, anxiety, and stress were assessed in these patients using the Depression Anxiety Stress Scale 21 (DASS-21). Utilizing a Visual Analog Scale, ulcer-related pain was assessed in patients with RAS. The data were analyzed using the chi-square test and Pearson's correlation test in IBM SPSS Statistics for Windows, Version 26.0 (released 2019, IBM Corp., Armonk, NY). Results The chi-square analysis showed that participants with RAS showed a statistically significant higher prevalence of extreme stress (n = 39, 31.5%), extreme anxiety (n = 82, 66.1%), and depression (n = 38, 30.6%) as opposed to those without this oral condition. A moderately positive correlation was observed in the Pearson's test between the severity of pain experienced and stress and anxiety (r = 0.65 and 0.60, respectively, p < 0.05), while a mild positive correlation was observed between the severity of pain and depression (r = 0.35, p < 0.05). Conclusion Depression, anxiety, and stress influenced the severity of pain in these lesions, dictating the need for a holistic approach that integrates psychological interventions in the management of such chronic oral conditions with psychological links.
RESUMEN
Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool that empowers Frontline-Health-Workers (FHW). This study was conducted to validate the accuracy of Convolutional-Neural-Network (CNN) enabled m(mobile)-Health device deployed with FHWs for delineation of suspicious oral lesions (malignant/potentially-malignant disorders). The effectiveness of the device was tested in tertiary-care hospitals and low-resource settings in India. The subjects were screened independently, either by FHWs alone or along with specialists. All the subjects were also remotely evaluated by oral cancer specialist/s. The program screened 5025 subjects (Images: 32,128) with 95% (n = 4728) having telediagnosis. Among the 16% (n = 752) assessed by onsite specialists, 20% (n = 102) underwent biopsy. Simple and complex CNN were integrated into the mobile phone and cloud respectively. The onsite specialist diagnosis showed a high sensitivity (94%), when compared to histology, while telediagnosis showed high accuracy in comparison with onsite specialists (sensitivity: 95%; specificity: 84%). FHWs, however, when compared with telediagnosis, identified suspicious lesions with less sensitivity (60%). Phone integrated, CNN (MobileNet) accurately delineated lesions (n = 1416; sensitivity: 82%) and Cloud-based CNN (VGG19) had higher accuracy (sensitivity: 87%) with tele-diagnosis as reference standard. The results of the study suggest that an automated mHealth-enabled, dual-image system is a useful triaging tool and empowers FHWs for oral cancer screening in low-resource settings.
