关键词: 亚厘米肝癌, 复发, 核磁共振

Abstract: Objective To analyze the feasibility of digital simulation of weighted pathological images in preoperative magnetic resonance (MR) examination for predicting postoperative recurrence of small liver cancer. Methods A total of 26 patients with subcellular liver cancer who underwent surgical resection at the Fifth Medical Center of the General Hospital of the People's Liberation Army from December 2011 to May 2018 and underwent dynamic contrast-enhanced MR scanning within 1 week to 1 month before surgery were collected and organized. They were divided into early recurrence group and late recurrence group. The T1, T2, DWI, arterial phase, portal phase, delayed phase, and double echo signal values of the lesions were measured before surgery, and the signal values of the normal liver parenchyma range of the same size within a 4cm range of the lesions were measured. The corresponding group ratios were calculated, and the interlobular artery, interlobular vein, interlobular bile duct, central venous vein, hepatic cell plate, and hepatic sinuses were delineated in the pathological images. MR was also used as a reference. Perform motion assignment on image measurement data to create dynamic images. Results Among the 26 patients, there were 15 in the early recurrence group and 11 in the late recurrence group. The lesion size was 0.5～1.0 cm, and the recurrence time was 2～63 months. The ratio of the reverse phase signal values of the double echo sequence in the early recurrence group was 1.055, and the ratio of the signal values in the late recurrence group was 1.165, with statistical differences between the groups (P=0.03). The ratio of the signal values in the delayed early recurrence group was 0.902, and the ratio of the signal values in the late recurrence group was 0.975, with statistical differences between the groups (P=0.04). Conclusion In the late stage recurrence group, the delayed phase signal of small liver cancer lesions is higher and contains more fat, and the combination of pathological images and MR signal measurement values with dynamic images presents better.

Key words: Microhepatocellular carcinoma, Recurrence, Magnetic resonance