ASO Visual Abstract: Clinical Effectiveness of Preoperative 18F-FDG PET/CT in Predicting Pathological Tumor Grade in Patients with Pseudomyxoma Peritonei Originating from Appendix: A Retrospective Cohort Study

Annals of Surgical Oncology(2024)

引用 0|浏览1
暂无评分
摘要
Background Cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy is the standard treatment for patients with pseudomyxoma peritonei (PMP). In some malignancies, the standard uptake value of positron emission tomography with 2-deoxy-2-18F-fluoro-D-glucose integrated with computed tomography (18F-FDG PET/CT) is now accepted as a reliable indicator of neoplastic behavior. This study aimed to evaluate the association between the maximum standardized uptake value (SUVmax) and pathological grade in patients with PMP and to investigate the significance of SUVmax in the preoperative assessment of these patients. Patients and Methods In this retrospective single-center study, consecutively enrolled patients diagnosed with PMP of appendiceal origin underwent preoperative 18F-FDG PET/CT. SUVmax was calculated as the highest SUVmax value in the abdomen excluding the primary site. SUVmax was compared with the pathological grade (low or high grade) of PMP tumors according to the World Health Organization classification and further analyzed with respect to the estimated cutoff point, sensitivity, specificity, and receiver operating characteristic. Results In total, 160 patients were included. CRS was successfully performed in 93 patients and palliative debulking surgery in 67 patients. The pathological grade was high in 45 patients and low in 115. High-grade patients had a higher median SUVmax on 18F-FDG PET/CT than did low-grade patients (3.83 versus 2.34, p < 0.001). The highest area under the curve was 0.81, with a sensitivity of 77.8%, specificity of 72.3%, and cutoff point of 2.63. Conclusion This study suggests that the SUVmax of preoperative 18F-FDG PET/CT is associated with the pathological grade in patients with PMP.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要