Published online Nov 28, 2023. doi: 10.4329/wjr.v15.i11.304
Peer-review started: August 28, 2023
First decision: September 19, 2023
Revised: September 20, 2023
Accepted: October 23, 2023
Article in press: October 23, 2023
Published online: November 28, 2023
Processing time: 88 Days and 2.6 Hours
Radiomics can determine prognostic factors of several types of tumors.
Lack of evidence supporting radiomic studies on pancreatic cancer.
Compare two different radiomic softwares in assessing survival outcomes in pancreatic cancer patients.
Retrospective review of pretreatment dual energy computed tomography (CT) images of 48 patients with biopsy confirmed lesions. Tumors were segmented using TexRad [2-dimensional (2D)] analysis software and MIM (3D) analysis software and radiomic features were extracted to compare with overall surgical (OS) and progression free survival (PFS).
3D analysis demonstrates that higher mean tumor density and median tumor density correlated with better OS, while 2D analysis showed that higher mean tumor density and mean positive pixels correlated with better OS. 2D analysis also showed higher skewness and kurtosis correlated with worse OS. Higher entropy correlated with better PFS. Patients with increased tumor size greater than 1.35 cm were likely to have a higher percentage of residual tumor above 10%.
Radiomic features can serve as prognosis tools for pancreatic cancer and determine OS.
This study serves as a guide for future research that can be verified through a prospective approach, while also con