TY - JOUR
T1 - Delta Radiomics Analysis for Local Control Prediction in Pancreatic Cancer Patients Treated Using Magnetic Resonance Guided Radiotherapy
AU - Cusumano, Davide
AU - Boldrini, Luca
AU - Yadav, Poonam
AU - Casà, Calogero
AU - Lee, Sangjune Laurence
AU - Romano, Angela
AU - Piras, Antonio
AU - Chiloiro, Giuditta
AU - Placidi, Lorenzo
AU - Catucci, Francesco
AU - Votta, Claudio
AU - Mattiucci, Gian Carlo
AU - Indovina, Luca
AU - Gambacorta, Maria Antonietta
AU - Bassetti, Michael
AU - Valentini, Vincenzo
PY - 2021
Y1 - 2021
N2 - The aim of this study is to investigate the role of Delta Radiomics analysis in the prediction of one-year local control (1yLC) in patients affected by locally advanced pancreatic cancer (LAPC) and treated using Magnetic Resonance guided Radiotherapy (MRgRT). A total of 35 patients from two institutions were enrolled: A 0.35 Tesla T2*/T1 MR image was acquired for each case during simulation and on each treatment fraction. Physical dose was converted in biologically effective dose (BED) to compensate for different radiotherapy schemes. Delta Radiomics analysis was performed considering the gross tumour volume (GTV) delineated on MR images acquired at BED of 20, 40, and 60 Gy. The performance of the delta features in predicting 1yLC was investigated in terms of Wilcoxon Mann-Whitney test and area under receiver operating characteristic (ROC) curve (AUC). The most significant feature in predicting 1yLC was the variation of cluster shade calculated at BED = 40 Gy, with a p-value of 0.005 and an AUC of 0.78 (0.61-0.94). Delta Radiomics analysis on low-field MR images might play a promising role in 1yLC prediction for LAPC patients: further studies including an external validation dataset and a larger cohort of patients are recommended to confirm the validity of this preliminary experience.
AB - The aim of this study is to investigate the role of Delta Radiomics analysis in the prediction of one-year local control (1yLC) in patients affected by locally advanced pancreatic cancer (LAPC) and treated using Magnetic Resonance guided Radiotherapy (MRgRT). A total of 35 patients from two institutions were enrolled: A 0.35 Tesla T2*/T1 MR image was acquired for each case during simulation and on each treatment fraction. Physical dose was converted in biologically effective dose (BED) to compensate for different radiotherapy schemes. Delta Radiomics analysis was performed considering the gross tumour volume (GTV) delineated on MR images acquired at BED of 20, 40, and 60 Gy. The performance of the delta features in predicting 1yLC was investigated in terms of Wilcoxon Mann-Whitney test and area under receiver operating characteristic (ROC) curve (AUC). The most significant feature in predicting 1yLC was the variation of cluster shade calculated at BED = 40 Gy, with a p-value of 0.005 and an AUC of 0.78 (0.61-0.94). Delta Radiomics analysis on low-field MR images might play a promising role in 1yLC prediction for LAPC patients: further studies including an external validation dataset and a larger cohort of patients are recommended to confirm the validity of this preliminary experience.
KW - MR-guided radiotherapy
KW - magnetic resonance
KW - pancreatic cancer
KW - radiomics
KW - MR-guided radiotherapy
KW - magnetic resonance
KW - pancreatic cancer
KW - radiomics
UR - https://publicatt.unicatt.it/handle/10807/178033
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85103344619&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103344619&origin=inward
U2 - 10.3390/diagnostics11010072
DO - 10.3390/diagnostics11010072
M3 - Article
SN - 2075-4418
VL - 11
SP - 72-N/A
JO - Diagnostics
JF - Diagnostics
IS - 1
ER -