Published online May 15, 2024. doi: 10.4251/wjgo.v16.i5.1796
Peer-review started: December 12, 2023
First decision: January 2, 2024
Revised: January 15, 2024
Accepted: February 29, 2024
Article in press: February 29, 2024
Published online: May 15, 2024
Processing time: 149 Days and 5.2 Hours
Rectal carcinoma (RC) is a globally prevalent fatal tumor, and its early diagnosis and staging are crucial. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters and serum levels of carbohydrate antigen 19-9 (CA19-9) and CA125 have shown potential diagnostic value in many diseases, but their roles in the assessment of T stage and degree of differentiation in RC remain unclear.
The motivation of this study is to clarify the effectiveness of DCE-MRI parameters and serum levels of CA19-9 and CA125 in assessing the T stage and degree of differentiation in RC. We hope that through this study, we can provide clinicians with a reliable tool for more accurate diagnosis and treatment of RC.
The objective of this study was to investigate the application of DCE-MRI parameters and serum levels of CA19-9 and CA125 in evaluating the T stage and degree of differentiation of RC to improve the diagnostic accuracy and treatment effect of RC.
We conducted a retrospective study on eligible patients with RC and collected and analyzed the DCE-MRI parameters and serum levels of CA19-9 and CA125. We then evaluated their predictive ability for T stage and degree of differentiation of RC using statistical models.
Our research results show that DCE-MRI parameters and serum levels of CA19-9 and CA125 have significant predictive abilities and may improve RC-related diagnostic accuracy.
DCE-MRI parameters and serum levels of CA19-9 and CA125 have significant value in assessing the T stage and degree of differentiation of RC and can be used to help physicians provide more personalized treatment plans, improving patient prognosis.
Future research might further explore the application of these tools in a broader cohort of patients with RC as well as how they could be combined with other potential biomarkers and imaging parameters to provide a more comprehensive framework for RC assessment.