Publications by authors named "A Bozzini"

Introduction: The following presentation explores the diagnostic potential of Contrast-Enhanced Mammography (CEM) in evaluating and managing Paget's Disease (PD) of the breast, particularly as an alternative or complementary tool to Magnetic Resonance Imaging (MRI) in cases where MRI is contraindicated or inconclusive.

Clinical Cases: Two clinical cases of PD diagnosed at our Breast Imaging Division between January and May 2024 were analyzed using CEM. These cases involved imaging techniques, including Digital Mammography (DM), Breast Ultrasound (US), MRI and CEM, alongside histopathological confirmation through nipple-areolar complex (NAC) punch biopsies.

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Neoadjuvant Therapy (NT) has become the gold standard for treating locally advanced Breast Cancer (BC). The assessment of pathological response (pR) post-NT plays a crucial role in predicting long-term survival, with Contrast-Enhanced Magnetic Resonance Imaging (MRI) currently recognised as the preferred imaging modality for its evaluation. Traditional imaging techniques, such as Digital Mammography (DM) and Ultrasonography (US), encounter difficulties in post-NT assessments due to breast density, lesion changes, fibrosis, and molecular patterns.

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Objectives: This meta-analysis compares the efficacy, limitations, and clinical implications of abbreviated breast MRI (AB-MRI) and full protocol MRI (FP-MRI), focusing on diagnostic accuracy across diverse populations. It extends previous analyses by including studies conducted after 2019 in both screening and diagnostic contexts.

Methods: We conducted a systematic review (November 2019 to December 2022), using a bivariate model to calculate summary estimates of sensitivity and specificity.

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Background: Surgery is still the standard treatment for breast lesions such as ductal carcinoma (DCIS); however, its survival benefit is minimal, particularly for low-grade DCIS. Surgical complications and related depression status can adversely affect patients' quality of life. Approximately 25% of breast cancer (BC) cases are forms, with DCIS making up 90% of these.

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Radiological interpretations, while essential, are not infallible and are best understood as expert opinions formed through the evaluation of available evidence. Acknowledging the inherent possibility of error is crucial, as it frames the discussion on improving diagnostic accuracy and patient care. A comprehensive review of error classifications highlights the complexity of diagnostic errors, drawing on recent frameworks to categorize them into perceptual and cognitive errors, among others.

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