Imaging avanzato - Gruppo di Ricerca

The advanced imaging unit support all the other research teams by suppling the highest standard of imaging for a better characterization of rare and complex disease. Radiology is nowadays a source of biomarkers (Radiomics) and a tool to train artificial intelligence (AI) and feed neural networks in order to build predictive tools. Radiomics is the extraction of information from medical images using advanced statistical and mathematical analysis. Artificial intelligence in radiology is a technology that allows for ongoing improvements to diagnosis and patient care by supporting the radiologist.
Both research fields help other unit in refining research results and obtain better and stronger statistical evidence. Collaborations are ongoing, and not limited to, lung cancer, cardiovascular disease, multiple myeloma, and advanced Doppler imaging.

• Bortolotto C., Stella G.M., Messana G., Lo Tito A., Podrecca C., Nicora G., Bellazzi R., Gerbasi A., Agustoni F., Grimm R., Zacà D., Filippi A.R., Bottinelli O.M., Preda L. Correlation between PD-L1 Expression of Non-Small Cell Lung Cancer and Data from IVIM-DWI Acquired during Magnetic Resonance of the Thorax: Preliminary Results. Cancers (Basel), 2022;
• Marchetti F., Izzi N., Donatelli A., Valentini A., Muzic S.I., Dore R., Di Sabatino A., Perrone T., Falaschi F., Sabatini U., Ballesio A., Meloni F., Lettieri S., Mojoli F., Perlini S., Novati S., Pagani E., Klersy C., Bruno R., Preda L. Mid-term follow-up chest CT findings in recovered COVID-19 patients with residual symptoms. British Journal of Radiology, 2023;
• Cabini R.F., Brero F., Lancia A., Stelitano C., Oneta O., Ballante E., Puppo E., Mariani M., Alì E., Bartolomeo V., Montesano M., Merizzoli E., Aluia D., Agustoni F., Stella G.M., Sun R., Bianchini L., Deutsch E., Figini S., Bortolotto C., Preda L., Lascialfari A., Filippi A.R. Preliminary report on harmonization of features extraction process using the ComBat tool in the multi-center "Blue Sky Radiomics" study on stage III unresectable NSCLC. Insights Imaging, 2022;
• Vancheri S.G., Savietto G., Ballati F., Maggi A., Canino C., Bortolotto C., Valentini A., Dore R., Stella G.M., Corsico A.G., Iotti G.A., Mojoli F., Perlini S., Bruno R., Preda L. Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms. European Radiology, 2020;
• Colombo D., Turco A., Lomi S., Valentini A., Bassi E., Scelsi L., Greco A., Schirinzi S., Zacchino M., Acquaro M., Oliveri F., Preda L., Ghio S. Role of cardiac magnetic resonance in the differential diagnosis between arrhythmogenic cardiomyopathy with left ventricular involvement and previous infectious myocarditis. International Journal of Cardiology, 2023.

• Diagnostic MR, CT, XR and US equipment as well as angiographic suites
• Lung MR Work in Progress Advanced Sequences

• MR Lung: “Magnetic Resonance as a specific tool to dissect microenvironment in proliferative lung disease” – Project funded as part of the current research of the Fondazione IRCCS Policlinico San Matteo with 50.000€.
• PEOPLHE: “Model for Optimized Implementation of Early Lung Cancer Detection: Prospective Evaluation Of Preventive Lung HEalth” (PEOPLHE)” “Modello per un’implementazione ottimizzata della detezione del tumore polmonare in fase precoce: valutazione prospettica della prevenzione della salute del polmone” – Project funded as part of the finalized research of the Ministry of Health 2019 with €500,000 for three centers (Pavia, Parma and Catania).

ICAM: International Center for Advanced Computing in Medicine (ICAM) in collaboration with Università della Svizzera italiana (USI).