Title of article
Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models
Author/Authors
Fiordelisi, M. F Napoli, Italy , Auletta, L Napoli, Italy , Meomartino, L Universita degli Studi di Napoli Federico II - Naples, Italy , Basso, Napoli, Italy , Fatone, G Dipartimento di Medicina Veterinariae Produzioni animali - Universita degli Studi di Napoli Federico II - Naples, Italy , Salvatore, M Napoli, Italy , Mancini, M Napoli, Italy , Greco, A Dipartimento di Scienze Biomediche Avanzate - Universita degli Studi di Napoli Federico II - Naples, Italy
Pages
15
From page
1
To page
15
Abstract
Precision and personalized medicine is gaining importance in modern clinical medicine, as it aims to improve diagnostic precision
and to reduce consequent therapeutic failures. In this regard, prior to use in human trials, animal models can help evaluate novel
imaging approaches and therapeutic strategies and can help discover new biomarkers. Breast cancer is the most common
malignancy in women worldwide, accounting for 25% of cases of all cancers and is responsible for approximately 500,000 deaths
per year. us, it is important to identify accurate biomarkers for precise stratification of affected patients and for early detection
of responsiveness to the selected therapeutic protocol. is review aims to summarize the latest advancements in preclinical
molecular imaging in breast cancer mouse models. Positron emission tomography (PET) imaging remains one of the most
common preclinical techniques used to evaluate biomarker expression in vivo, whereas magnetic resonance imaging (MRI),
particularly diffusion-weighted (DW) sequences, has been demonstrated as capable of distinguishing responders from nonresponders for both conventional and innovative chemo- and immune-therapies with high sensitivity and in a noninvasive
manner. The ability to customize therapies is desirable, as this will enable early detection of diseases and tailoring of treatments to
individual patient profiles. Animal models remain irreplaceable in the effort to understand the molecular mechanisms and
patterns of oncologic diseases.
Keywords
Molecular , PET , FDG
Journal title
Contrast Media and Molecular Imaging
Serial Year
2019
Full Text URL
Record number
2618532
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