TY - JOUR
T1 - The impact of radiomics in diagnosis and staging of pancreatic cancer
AU - Casa, Cristina
AU - Piras, Antonio
AU - D’Aviero, Andrea
AU - Preziosi, Francesco
AU - Mariani, Silvia
AU - Cusumano, Davide
AU - Romano, Angela
AU - Boskoski, Ivo
AU - Lenkowicz, Jacopo
AU - Dinapoli, Nicola
AU - Cellini, Francesco
AU - Gambacorta, Maria Antonietta
AU - Valentini, Vincenzo
AU - Mattiucci, Gian Carlo
AU - Boldrini, Luca
PY - 2022
Y1 - 2022
N2 - Introduction: Pancreatic cancer (PC) is one of the most aggressive tumours, and better risk stratification among patients is required to provide tailored treatment. The meaning of radiomics and texture analysis as predictive techniques are not already systematically assessed. The aim of this study is to assess the role of radiomics in PC. Methods: A PubMed/MEDLINE and Embase systematic review was conducted to assess the role of radiomics in PC. The search strategy was ‘radiomics [All Fields] AND (“pancreas” [MeSH Terms] OR “pancreas” [All Fields] OR “pancreatic” [All Fields])’ and only original articles referred to PC in humans in the English language were considered. Results: A total of 123 studies and 183 studies were obtained using the mentioned search strategy on PubMed and Embase, respectively. After the complete selection process, a total of 56 papers were considered eligible for the analysis of the results. Radiomics methods were applied in PC for assessment technical feasibility and reproducibility aspects analysis, risk stratification, biologic or genomic status prediction and treatment response prediction. Discussion: Radiomics seems to be a promising approach to evaluate PC from diagnosis to treatment response prediction. Further and larger studies are required to confirm the role and allowed to include radiomics parameter in a comprehensive decision support system.
AB - Introduction: Pancreatic cancer (PC) is one of the most aggressive tumours, and better risk stratification among patients is required to provide tailored treatment. The meaning of radiomics and texture analysis as predictive techniques are not already systematically assessed. The aim of this study is to assess the role of radiomics in PC. Methods: A PubMed/MEDLINE and Embase systematic review was conducted to assess the role of radiomics in PC. The search strategy was ‘radiomics [All Fields] AND (“pancreas” [MeSH Terms] OR “pancreas” [All Fields] OR “pancreatic” [All Fields])’ and only original articles referred to PC in humans in the English language were considered. Results: A total of 123 studies and 183 studies were obtained using the mentioned search strategy on PubMed and Embase, respectively. After the complete selection process, a total of 56 papers were considered eligible for the analysis of the results. Radiomics methods were applied in PC for assessment technical feasibility and reproducibility aspects analysis, risk stratification, biologic or genomic status prediction and treatment response prediction. Discussion: Radiomics seems to be a promising approach to evaluate PC from diagnosis to treatment response prediction. Further and larger studies are required to confirm the role and allowed to include radiomics parameter in a comprehensive decision support system.
KW - decision supporting system
KW - pancreatic cancer
KW - radiomics
KW - decision supporting system
KW - pancreatic cancer
KW - radiomics
UR - http://hdl.handle.net/10807/203367
U2 - 10.1177/26317745221081596
DO - 10.1177/26317745221081596
M3 - Article
SN - 2631-7745
VL - 15
SP - N/A-N/A
JO - Therapeutic Advances in Gastrointestinal Endoscopy
JF - Therapeutic Advances in Gastrointestinal Endoscopy
ER -
