Tehran University of Medical Sciences Journal of Craniomaxillofacial Research 2345-5489 13 3 2026 10 21 311 319 Indu Mahendran Department of Oral & Maxillofacial Pathology and Microbiology, Government Dental College, Kottayam, Kerala–680596, India. Revathi Krishna Department of Oral & Maxillofacial Pathology and Microbiology, Maulana Azad Institute of Dental Sciences, BSZ Mard, New Delhi–110002, India. Latha Cherian Department of Oral & Maxillofacial Pathology and Microbiology, Government Dental College, Kottayam, Kerala–686008, India. Vivek Narayan Department of Oral & Maxillofacial Pathology and Microbiology, Government Dental College, Kottayam, Kerala–686008, India. Rasla C Department of Oral & Maxillofacial Pathology and Microbiology, Center for Dental Education and Research, All India Institute of Medical Sciences, New Delhi - 110029, India. 2026 06 24 2026 09 24 Introduction: Nomograms are effective statistical tools that may be integrated into medical practice to calculate treatment outcomes, diagnose diseases, and guide treatment decisions based on patient-specific variables. The current study aimed to develop a novel nomogram to stratify patients with oral epithelial dysplasia (OED) into different risk groups based on their clinic-pathological data.  Materials and Methods: Clinico-pathological data of all cases of OED reported during a twelve-year period were retrospectively retrieved. The presence of malignant transformation (MT) among them was confirmed from the departmental cancer registry. Bivariate regression analyses and multivariate logistic regression were used to analyze the risk factors and the role of multiple independent variables, respectively. A p-value < 0.05 was considered statistically significant. An OED nomogram was constructed from the above data. Results: A novel OED nomogram was constructed using three variables - induration, texture, and clinical type. The Receiver operating characteristic (ROC) curve demonstrated an area under the curve (AUC) of 0.753, indicating fair predictive potential. MTR of our study population was 9.8%.  Conclusion: The OED nomogram serves as a valuable tool for predicting MT in OED patients. Its application in dental science for stratifying patient risk enables clinicians to plan treatment and follow-up visits efficiently. Keywords: Nomogram; Oral cancer; Oral epithelial dysplasia; Oral potentially malignant disorders. https://jcr.tums.ac.ir/index.php/jcr/article/view/687 https://jcr.tums.ac.ir/index.php/jcr/article/download/687/510