Predictive value of multimodal magnetic resonance imaging features for vascular invasion and prognosis in cervical cancer(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2025年第8期
- Page:
- 1047-1051
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Predictive value of multimodal magnetic resonance imaging features for vascular invasion and prognosis in cervical cancer
- Author(s):
- WANG Xiang; WANG Jinjun; ZHANG Xiaohong; JIAO Yuquan; DING Jianfeng
- Department of Medical Imaging, Yuncheng Central Hospital, Shanxi Medical University, Yuncheng 044000, China
- Keywords:
- Keywords: multimodal magnetic resonance imaging cervical cancer vascular invasion prognosis
- PACS:
- R318；R816.91
- DOI:
- DOI:10.3969/j.issn.1005-202X.2025.08.010
- Abstract:
- Objective To investigate the role of multimodal magnetic resonance imaging (MRI) features in predicting vascular invasion and prognosis in cervical cancer. Methods A total of 180 cervical cancer patients were included in this study. According to the postoperative vascular invasion status, patients were categorized into vascular invasion-positive group (n=61) and vascular invasion-negative group (n=119). All patients underwent comprehensive MRI protocols including diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), and dynamic contrast-enhanced MRI (DCE-MRI) scans to analyze intergroup differences in imaging parameters. The diagnostic efficacy of multimodal MRI (DWI, DTI, and DCE-MRI) in detecting vascular invasion and predicting prognosis was evaluated. Results Statistically significant differences in ADCDWI were observed between vascular invasion-positive group and vascular invasion-negative group (P<0.01). The vascular invasion-positive group exhibited significantly lower ADCDTI and FA as compared with vascular invasion-negative group, accompanied by elevated Ktrans, VE, and Kep (P<0.01). Compared with survival group, non-survivor group demonstrated higher ADCDWI, Ktrans, VE and Kep, alongside lower ADCDTI and FA. The sensitivity of multimodal MRI for vascular invasion detection and mortality prediction was higher than that of unimodal detection approaches? Conclusion Multimodal MRI features have significant predictive value for vascular invasion and prognosis in cervical cancer, serving as a critical foundation for clinical decision-making.
Last Update: 2025-09-15