1. A system, comprising: an extraction module extracting contextual information from an image of an area of interest of a patient including annotations; a feature selection module building a current feature vector using the extracted contextual information and the annotations; a referencing engine computing a similarity score between the current feature vector and a prior feature vector of a prior image of the patient; and a presentation engine providing a display based on the similarity score, wherein the similarity score (D) is computed as a weighted (m i ) sum of distances (d i ) between each element of the current feature vector and the prior feature vector, wherein: 
 D=Σm i *d i ; and wherein distances (d i ) of annotation features (a i ) and (b i ), and contextual features (a′ i ) and (b′ i ) are computed as: 
 d i =e a i −b i *e a′ i −b′ i .