Open AccessComputed tomography-based radiomic to predict resectability in locally advanced pancreatic cancer treated with chemotherapy and radiotherapy
Author(s) -
Gabriella Rossi,
Luisa Altabella,
N. Simoni,
Giulio Benetti,
Renato Rossi,
Martina Venezia,
Salvatore Paiella,
Giuseppe Malleo,
Roberto Salvia,
Stefania Guariglia,
Claudio Bassi,
Carlo Cavedon,
Renzo Mazzarotto
Publication year - 2022
Publication title -
world journal of gastrointestinal oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.924
H-Index - 26
ISSN - 1948-5204
DOI - 10.4251/wjgo.v14.i3.703
Subject(s) - medicine , context (archaeology) , radiation therapy , radiology , radiomics , pancreatic cancer , neoadjuvant therapy , chemotherapy , cancer , surgery , paleontology , biology , breast cancer
Surgical resection after neoadjuvant treatment is the main driver for improved survival in locally advanced pancreatic cancer (LAPC). However, the diagnostic performance of computed tomography (CT) imaging to evaluate the residual tumour burden at restaging after neoadjuvant therapy is low due to the difficulty in distinguishing neoplastic tissue from fibrous scar or inflammation. In this context, radiomics has gained popularity over conventional imaging as a complementary clinical tool capable of providing additional, unprecedented information regarding the intratumor heterogeneity and the residual neoplastic tissue, potentially serving in the therapeutic decision-making process.