Comparative analysis of iterative vs AI-based reconstruction algorithms in CT imaging for total body assessment: Objective and subjective clinical analysis.

Purpose: This study evaluates the performance of Iterative and AI-based Reconstruction algorithms in CT imaging for brain, chest, and upper abdomen assessments. Using a 320-slice CT scanner, phantom images were analysed through quantitative metrics such as Noise, Contrast-to-Noise-Ratio and Target Transfer Function. Additionally, five radiologists performed subjective evaluations on real patient images by scoring clinical parameters related to anatomical structures across the three body sites.

B3 lesions of the breast and cancer risk. A single-centre experience.

Background: Breast lesions of uncertain malignant potential, also known as B3 lesions, represent a heterogeneous group of tumors with variable malignancy risk. Surgical excision should be considered depending on clinical, radiological and histological features, family history and following informed consent. The aim of the present paper is to evaluate the positive predictive value (PPV) of diagnosis of malignancy in surgically excised B3 lesions in order to identify possible predictive upgrade criteria.