Gallivanone Francesca
Bio sketch
Master degree in physics, health physics
PhD in Biomedical Technologies
ORCID ID: 0000-0001-6559-6157
Scopus Author ID: 20435500300
Research interests
- Acquisition and processing of PET/CT and MRI images in oncology and neurology
- Development of methods and approaches for extraction of quantitative biomarkers from PET/CT and MR imaging in oncology: radiomics
- Development of methods and approaches for extraction of quantitative biomarkers from PET/CT and MR imaging in neurology: statistical voxel-based analysis
- Development of “Home-made” phantoms for PET, CT and MR imaging: use for standardization and evaluation of quantitative image processing methodologies
- Statistical methods for correlation and integration of in vivo imaging and ex vivo data
CV
National Collaboration
- IRCCS Ospedale San Raffaele, Milano
- IRCCS Maugeri, Pavia
- Humanitas Research Hospital
International collaboration
- The Radioterapeuticka a Onkologicka Klinika (Radiotherapy a Oncology Department), Fakultni Nemocnice Kralovske Vinohrady, Praha, Czech Republic
- Clinical Center of Serbia, Policlinic Visegradaska, Belgrade, Serbia.
Recent publications
Gallivanone, F., Cava, C., Corsi, F., Bertoli, G., Castiglioni, I. In silico approach for the definition of radiomirnomic signatures for breast cancer differential diagnosis. (2019) International Journal of Molecular Sciences, 20 (23);
Castiglioni, I., Gallivanone, F., Soda, P., Avanzo, M., Stancanello, J., Aiello, M., Interlenghi, M., Salvatore, M. AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics. (2019) European Journal of Nuclear Medicine and Molecular Imaging.
Gallivanone, F., Interlenghi, M., D’Ambrosio, D., Trifirò, G., Castiglioni, I. Parameters influencing PET imaging features: A phantom study with irregular and heterogeneous synthetic lesions (2018) Contrast Media and Molecular Imaging.
Berti, A., Della-Torre, E., Gallivanone, F., Canevari, C., Milani, R., Lanzillotta, M., Campochiaro, C., Ramirez, G.A., Cassione, E.B., Bozzolo, E., Pedica, F., Castiglioni, I., Arcidiacono, P.G., Balzano, G., Falconi, M., Gianolli, L., Dagna, L. Quantitative measurement of 18F-FDG PET/CT uptake reflects the expansion of circulating plasmablasts in IgG4-related disease. (2017) Rheumatology (United Kingdom), 56 (12), pp. 2084-2092.
Antunovic, L., Gallivanone, F., Sollini, M., Sagona, A., Invento, A., Manfrinato, G., Kirienko, M., Tinterri, C., Chiti, A., Castiglioni, I. [18F]FDG PET/CT features for the molecular characterization of primary breast tumors. (2017) European Journal of Nuclear Medicine and Molecular Imaging, 44 (12), pp. 1945-1954.
Gallivanone F, Panzeri MM, Canevari C, Losio C, Gianolli L, De Cobelli F, Castiglioni I. Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy. MAGMA. 2017 doi: 10.1007/s10334-017-0610-7.
Gallivanone F, Della Rosa PA, Castiglioni I. Statistical Voxel-Based Methods and [18F]FDG PET Brain Imaging: Frontiers for the Diagnosis of AD. Curr Alzheimer Res. 2016;13(6):682-94.
Della Rosa PA, Cerami C, Gallivanone F, Prestia A, Caroli A, Castiglioni I, Gilardi MC, Frisoni G, Friston K, Ashburner J, Perani D, EADC-PET Consortium. A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia. Neuroinformatics. 2014; 12(4):575-93.