The study on radiomics in the treatment of lung cancer is conducted in collaboration with the Laboratory of Information Processing and Bioengineering Systems
30th November 2018 - It's emerging as a technology for one medicine increasingly customized and is currently one of the most interesting research fields. It is radiomics, a discipline that analyzes medical images and integrates the information extracted from radiological imaging with the clinical-biological knowledge of the tissues under investigation. In simple words, with suitable algorithms and mathematical methods, radiomics makes it possible to obtain information from images which would not be possible to process through simple visual observation and which can prove to be important to refine a diagnosis and make treatment more effective.
The interdisciplinary study "A radiomic approach for adaptive radiotherapy in non-small cell lung cancer patients”, conducted by UOC of Oncological Radiotherapy of the Polyclinic, In collaboration with the Laboratory of Processing Systems and Computer Bioengineering of the University, uses the radiomics approach to analyze images of lung cancer patients and characterize the pathology, capturing the intratumoral and molecular structure of the lesions and their environment. The data collected by the researchers demonstrate that the radiomic characteristics extracted from the first simulation CT are able to predict tumor shrinkage during radiochemotherapy in patients with locally advanced lung cancer.
Authors of the scientific article, published last week on Plos One, I am Sara Ramella, Michele Fiore, Carlo Greco, Ermanno Cordelli, Rosa Sicilia, Mario Merone, Elisabetta Molfese, Marianna Miele, Patrizia Cornacchione, Edy Ippolito, Giulio Iannello, Rolando Maria D'Angelillo, Paolo Soda. The study earned Dr. Michele Fiore the Berlucchi Award for the best oral presentation at the recent National Congress of the Italian Association of Radiotherapy and Clinical Oncology.
