BACKGROUND: To determine the effectiveness of a mobile phone-based remote oral cancer surveillance program (Oncogrid) connecting primary care dental practitioners and frontline health care workers (FHW) with oral cancer specialists. METHODS: The study population (N = 3,440) included a targeted cohort (n = 2,000) and an opportunistic cohort (n = 1,440) screened by FHW and dental professionals, respectively. The authors compared the screening efficacy in both groups, with specialist diagnosis considered the reference standard. The outcomes measured were lesion detection and capture of interpretable images of the oral cavity. RESULTS: In the targeted cohort, among 51 of 81 (61%) interpretable images, 23 of 51 (45%) of the lesions were confirmed by specialists, while the opportunistic cohort showed 100% concordance with the specialists (106 of 106). Sixty-two of 129 (48%) of the recommended patients underwent biopsy; 1 of 23 (4%) were in the targeted cohort, and 61 of 106 (57%) were in the opportunistic cohort. Ninety percent of the lesions were confirmed to be malignant or potentially malignant. CONCLUSIONS: The mobile health-based approach adopted in this study aided remote early detection of oral cancer by primary care dental practitioners in a resource-constrained setting. Further optimization of this program is required to adopt the system for FHW. Evaluation of its efficacy in a larger population is also warranted. PRACTICAL IMPLICATIONS: The increased efficiency of early detection by dentists, when assisted by a remote mobile health-based approach, is a step toward a more effective oral cancer screening program.
BACKGROUND: To determine the effectiveness of a mobile phone-based remote oral cancer surveillance program (Oncogrid) connecting primary care dental practitioners and frontline health care workers (FHW) with oral cancer specialists. METHODS: The study population (N = 3,440) included a targeted cohort (n = 2,000) and an opportunistic cohort (n = 1,440) screened by FHW and dental professionals, respectively. The authors compared the screening efficacy in both groups, with specialist diagnosis considered the reference standard. The outcomes measured were lesion detection and capture of interpretable images of the oral cavity. RESULTS: In the targeted cohort, among 51 of 81 (61%) interpretable images, 23 of 51 (45%) of the lesions were confirmed by specialists, while the opportunistic cohort showed 100% concordance with the specialists (106 of 106). Sixty-two of 129 (48%) of the recommended patients underwent biopsy; 1 of 23 (4%) were in the targeted cohort, and 61 of 106 (57%) were in the opportunistic cohort. Ninety percent of the lesions were confirmed to be malignant or potentially malignant. CONCLUSIONS: The mobile health-based approach adopted in this study aided remote early detection of oral cancer by primary care dental practitioners in a resource-constrained setting. Further optimization of this program is required to adopt the system for FHW. Evaluation of its efficacy in a larger population is also warranted. PRACTICAL IMPLICATIONS: The increased efficiency of early detection by dentists, when assisted by a remote mobile health-based approach, is a step toward a more effective oral cancer screening program.
Authors: Nalia Gurgel-Juarez; Cassius Torres-Pereira; Ana E Haddad; Lisa Sheehy; Hillel Finestone; Karen Mallet; Michael Wiseman; Kannika Hour; Heather L Flowers Journal: Evid Based Dent Date: 2022-07-08
Authors: Helbert Eustáquio Cardoso da Silva; Glaucia Nize Martins Santos; André Ferreira Leite; Carla Ruffeil Moreira Mesquita; Paulo Tadeu de Souza Figueiredo; Cristine Miron Stefani; Nilce de Santos Melo Journal: Support Care Cancer Date: 2022-05-06 Impact factor: 3.359
Authors: Arunan Skandarajah; Sumsum P Sunny; Praveen Gurpur; Clay D Reber; Michael V D'Ambrosio; Nisheena Raghavan; Bonney Lee James; Ravindra D Ramanjinappa; Amritha Suresh; Uma Kandasarma; Praveen Birur; Vinay V Kumar; Honorius-Cezar Galmeanu; Alexandru Mihail Itu; Mihai Modiga-Arsu; Saskia Rausch; Maria Sramek; Manohar Kollegal; Gianluca Paladini; Moni Kuriakose; Lance Ladic; Felix Koch; Daniel Fletcher Journal: PLoS One Date: 2017-11-27 Impact factor: 3.240