Foto del docente

Lorenzo Braccischi

Research fellow

Department of Medical and Surgical Sciences

Publications

Taninokuchi Tomassoni, M.; Braccischi, L.; Russo, M.; Adduci, F.; Calautti, D.; Girolami, M.; Vita, F.; Ruffilli, A.; Manzetti, M.; Ponti, F.; Matcuk, G. R.; Mosconi, C.; Cirillo, L.; Miceli, M.; Spinnato, P., Image-Guided Minimally Invasive Treatment Options for Degenerative Lumbar Spine Disease: A Practical Overview of Current Possibilities, «DIAGNOSTICS», 2024, 14, Article number: 1147 , pp. 1 - 26 [Scientific article]Open Access

Renzulli, Matteo; Braccischi, Lorenzo; Taninokuchi Tomassoni, Makoto; Brandi, Nicolò; Modestino, Francesco; Mosconi, Cristina, Serendipitous Transbiliary Portal Venous Access and Dual Embolization to Resolve a Postoperative Biliary Leak, «JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY», 2024, 35, pp. 1721 - 1723 [Scientific article]

Cocozza, M. A.; Dajti, E.; Braccischi, L.; Modestino, F.; Reimer, P.; Cucchetti, A.; Barbara, G.; Mosconi, C., Survival After Transarterial Radioembolization in Patients with Unresectable Intrahepatic Cholangiocarcinoma: An Updated Meta-analysis and Meta-regression, «CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY», 2024, 47, pp. 1313 - 1324 [Scientific article]Open Access

Caterina Gaudiano, Margherita Mottola, Lorenzo Bianchi, Beniamino Corcioni, Lorenzo Braccischi, Makoto Taninokuchi Tomassoni, Arrigo Cattabriga, Maria Adriana Cocozza, Francesca Giunchi, Riccardo Schiavina, Stefano Fanti, Michelangelo Fiorentino, Eugenio Brunocilla, Cristina Mosconi, Alessandro Bevilacqua, An Apparent Diffusion Coefficient-based machine learning model can improve Prostate Cancer detection in the grey area of the PI-RADS 3 category: a single-centre experience, «CANCERS», 2023, 15, Article number: 3438 , pp. 1 - 12 [Scientific article]Open Access

Gaudiano C.; Braccischi L.; Taninokuchi Tomassoni M.; Paccapelo A.; Bianchi L.; Corcioni B.; Ciccarese F.; Schiavina R.; Droghetti M.; Giunchi F.; Fiorentino M.; Brunocilla E.; Golfieri R., Transverse prostate maximum sectional area can predict clinically significant prostate cancer in PI-RADS 3 lesions at multiparametric magnetic resonance imaging, «FRONTIERS IN ONCOLOGY», 2023, 13, Article number: 1082564 , pp. 1 - 8 [Scientific article]Open Access

Pecorelli, Anna; Franceschi, Paola; Braccischi, Lorenzo; Izzo, Federica; Renzulli, Matteo; Golfieri, Rita, MRI Appearance of Focal Lesions in Liver Iron Overload, «DIAGNOSTICS», 2022, 12, pp. 891 - 903 [Scientific article]Open Access

Renzulli, Matteo; Braccischi, Lorenzo; D'Errico, Antonietta; Pecorelli, Anna; Brandi, Nicolò; Golfieri, Rita; Albertini, Elisa; Vasuri, Francesco, Review of: State-of-the-art review on the correlations between pathological and magnetic resonance features of cirrhotic nodules, «HISTOLOGY AND HISTOPATHOLOGY», 2022, Online ahead of print, pp. * - * [Review]

Gaudiano C.; Bianchi L.; Corcioni B.; Giunchi F.; Schiavina R.; Ciccarese F.; Braccischi L.; Rustici A.; Fiorentino M.; Brunocilla E.; Golfieri R., Evaluating the performance of clinical and radiological data in predicting prostate cancer in prostate imaging reporting and data system version 2.1 category 3 lesions of the peripheral and the transition zones, «INTERNATIONAL UROLOGY AND NEPHROLOGY», 2021, 54, pp. 263 - 271 [Scientific article]

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