Comparison of Clinical and Imaginal Features According to the Pathological Grades of Dysplasia in Branch-Duct Intraductal Papillary Mucinous Neoplasm (BD-IPMN) for Personalized Medicine.
Ji Eun NaJae-Keun ParkJong Kyun LeeJoo Kyung ParkKwang Hyuck LeeKyu Taek LeePublished in: Journal of personalized medicine (2023)
Background: In patients with BD-IPMN, surgical indications have been focused on finding malignant lesions (HGD, high-grade dysplasia/IC, invasive carcinoma). The aim of this study was to compare the preoperative factors that distinguish HGD from LGD (low-grade dysplasia) and HGD from IC to find the optimal pathologic target for surgery according to individuals, considering surgical risks and outcomes. Methods: We retrospectively analyzed 232 patients with BD-IPMN diagnosed based on pathology after surgery and preoperative images. The primary outcome was identifying preoperative factors distinguishing HGD from LGD, and HGD from IC. Results: In patients with LGD/HGD, a solid component or an enhancing mural nodule ≥ 5 mm (OR = 9.29; 95% CI: 3.3-54.12; p < 0.000) and thickened/enhancing cyst walls (OR = 6.95; 95% CI: 1.68-33.13; p = 0.008) were associated with HGD. In patients with malignant lesions (HGD/IC), increased serum CA 19-9 (OR = 12.59; 95% CI: 1.81-87.44; p = 0.006) was associated with IC. Conclusions : The predictive factors for HGD were the presence of a solid component or an enhancing mural nodule ≥ 5 mm and thickened/enhancing cyst walls compared with LGD, and if accompanied by increased CA 19-9, it might be necessary to urgently evaluate the lesion due to the possibility of progression to IC. Based on this finding, we need to find HGD as the optimal pathologic target for surgery to improve survival in low-surgical-risk patients, and IC could be assumed to be the optimal pathologic target for surgery in high-surgical-risk patients because of high morbidity and mortality associated with surgery.
Keyphrases
- low grade
- high grade
- minimally invasive
- end stage renal disease
- coronary artery bypass
- ejection fraction
- chronic kidney disease
- newly diagnosed
- neoadjuvant chemotherapy
- patients undergoing
- peritoneal dialysis
- surgical site infection
- patient reported outcomes
- machine learning
- deep learning
- skeletal muscle
- weight loss
- risk assessment
- clinical evaluation
- glycemic control