Your browser doesn't support javascript.
loading
External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients.
Leijenaar, Ralph T H; Walsh, Sean; Aliboni, Lorenzo; Sanchez, Victoria Lopez; Leech, Michelle; Joyce, Ronan; Gillham, Charles; Kridelka, Frédéric; Hustinx, Roland; Danthine, Denis; Occhipinti, Mariaelena; Vos, Wim; Guiot, Julien; Lambin, Philippe; Lovinfosse, Pierre.
Afiliação
  • Leijenaar RTH; Radiomics (Oncoradiomics SA), Liège, Belgium.
  • Walsh S; Radiomics (Oncoradiomics SA), Liège, Belgium.
  • Akshayaa Vaidyanathan; Radiomics (Oncoradiomics SA), Liège, Belgium.
  • Aliboni L; The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
  • Sanchez VL; Radiomics (Oncoradiomics SA), Liège, Belgium.
  • Leech M; Radiomics (Oncoradiomics SA), Liège, Belgium.
  • Joyce R; Applied Radiation Therapy, Discipline of Radiation Therapy, Trinity St. James's Cancer Institute, Trinity College, Dublin, Ireland.
  • Gillham C; Department of Radiation Oncology, St. Luke's Radiation Oncology Network and St James's Hospital, Dublin, Ireland.
  • Kridelka F; Department of Radiation Oncology, St. Luke's Radiation Oncology Network and St James's Hospital, Dublin, Ireland.
  • Hustinx R; Department of Obstetrics and Gynecology, University Hospital of Liège, Liège, Belgium.
  • Danthine D; Department of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium.
  • Occhipinti M; Department of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium.
  • Vos W; Radiomics (Oncoradiomics SA), Liège, Belgium.
  • Guiot J; Radiomics (Oncoradiomics SA), Liège, Belgium.
  • Lambin P; Department of Pneumology, University Hospital of Liège, Liège, Belgium.
  • Lovinfosse P; The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
Sci Rep ; 13(1): 7198, 2023 05 03.
Article em En | MEDLINE | ID: mdl-37137947
ABSTRACT
The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer. For the validation in anal cancer, a dataset of 59 patients coming from two different centers was collected. The primary endpoint was HPV status according to p16 immunohistochemistry. Predefined statistical tests were performed to evaluate the performance of the model. The AUC obtained here in anal cancer is 0.68 [95% CI (0.32-1.00)] with F1 score of 0.78. This signature is TRIPOD level 4 (57%) with an RQS of 61%. This study provides proof of concept that this radiomic signature has the potential to identify a clinically relevant molecular phenotype (i.e., the HPV-ness) across multiple cancers and demonstrates potential for this radiomic signature as a CT imaging biomarker of p16 status.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Ânus / Neoplasias Orofaríngeas / Infecções por Papillomavirus Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Ânus / Neoplasias Orofaríngeas / Infecções por Papillomavirus Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article