Fang ZH, Hao AH, Qi YG. Imaging features and correlation with short-term prognosis in laparoscopic radical resection of colorectal cancer. World J Gastrointest Surg 2025; 17(3): 99782 [DOI: 10.4240/wjgs.v17.i3.99782]
Corresponding Author of This Article
Yuan-Gang Qi, Associate Chief Physician, Department of Imaging, The Affiliated Cancer Hospital of Shandong First Medical University (Shandong Cancer Hospital), No. 440 Jiyan Road, Jinan 250117, Shandong Province, China. 13256681970@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastrointest Surg. Mar 27, 2025; 17(3): 99782 Published online Mar 27, 2025. doi: 10.4240/wjgs.v17.i3.99782
Imaging features and correlation with short-term prognosis in laparoscopic radical resection of colorectal cancer
Ze-Hui Fang, Ai-Hua Hao, Yuan-Gang Qi
Ze-Hui Fang, Ai-Hua Hao, Department of Imaging, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong Province, China
Yuan-Gang Qi, Department of Imaging, The Affiliated Cancer Hospital of Shandong First Medical University (Shandong Cancer Hospital), Jinan 250117, Shandong Province, China
Author contributions: Fang ZH designed and performed the study and wrote the paper; Qi YG designed the study, supervised the report, and contributed to the analysis; Hao AH collected the clinical data; All authors have approved the manuscript.
Institutional review board statement: The study was reviewed and approved by the Institutional Review Board of the Affiliated Cancer Hospital of Shandong First Medical University (Approval No.2024007003).
Informed consent statement: The requirement for informed consent was waived owing to the retrospective nature of the study.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: Data can be obtained from the corresponding author upon request at 13256681970@163.com.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yuan-Gang Qi, Associate Chief Physician, Department of Imaging, The Affiliated Cancer Hospital of Shandong First Medical University (Shandong Cancer Hospital), No. 440 Jiyan Road, Jinan 250117, Shandong Province, China. 13256681970@163.com
Received: October 31, 2024 Revised: December 9, 2024 Accepted: January 11, 2025 Published online: March 27, 2025 Processing time: 116 Days and 1.2 Hours
Abstract
BACKGROUND
Colorectal cancer (CRC) is a malignant tumor with high morbidity and mortality rates worldwide. With the development of medical imaging technology, imaging features are playing an increasingly important role in the prognostic evaluation of CRC. Laparoscopic radical resection is a common surgical approach for treating CRC. However, research on the link between preoperative imaging and short-term prognosis in this context is limited. We hypothesized that specific preoperative imaging features can predict the short-term prognosis in patients undergoing laparoscopic CRC resection.
AIM
To investigate the imaging features of CRC and analyze their correlation with the short-term prognosis of laparoscopic radical resection.
METHODS
This retrospective study conducted at the Affiliated Cancer Hospital of Shandong First Medical University included 122 patients diagnosed with CRC who underwent laparoscopic radical resection between January 2021 and February 2024. All patients underwent magnetic resonance imaging (MRI) and were diagnosed with CRC through pathological examination. MRI data and prognostic indicators were collected 30 days post-surgery. Logistic regression analysis identified imaging features linked to short-term prognosis, and a receiver operating characteristic (ROC) curve was used to evaluate the predictive value.
RESULTS
Among 122 patients, 22 had irregular, low-intensity tumors with adjacent high signals. In 55, tumors were surrounded by alternating signals in the muscle layer. In 32, tumors extended through the muscular layer and blurred boundaries with perienteric adipose tissue. Tumor signals appeared in the adjacent tissues in 13 patients with blurred gaps. Logistic regression revealed differences in longitudinal tumor length, axial tumor length, volume transfer constant, plasma volume fraction, and apparent diffusion coefficient among patients with varying prognostic results. ROC analysis indicated that the areas under the curve for these parameters were 0.648, 0.927, 0.821, 0.809, and 0.831, respectively. Sensitivity values were 0.643, 0.893, 0.607, 0.714, and 0.714, and specificity 0.702, 0.904, 0.883, 0.968, and 0.894 (P < 0.05).
CONCLUSION
The imaging features of CRC correlate with the short-term prognosis following laparoscopic radical resection. These findings provide valuable insights for clinical decision-making.
Core Tip: Colorectal cancer (CRC) is recognized as a highly prevalent and deadly malignant tumor that affects many patients globally. This study analyzed preoperative magnetic resonance imaging (MRI) data and 30-day postoperative prognostic indicators by using logistic regression and receiver operating characteristic curves. The key findings highlight the role of MRI in predicting short-term outcomes after laparoscopic radical resection, emphasizing the importance of imaging-derived indicators. These insights enhance the prognostic accuracy and guide tailored treatment approaches for patients with CRC.
