This study proposes an algorithmic approach to guide surgical planning in dorsal preservation rhinoplasty. By systematically evaluating anatomical variations, hump morphology, and tip-dorsum relationships, the model aims to optimize patient-specific technique selection. The research seeks to improve predictability, aesthetic outcomes, and functional preservation through structured intraoperative decision-making.