Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Abdom Radiol (NY). 2020 Nov;45(11):3763-3774. doi: 10.1007/s00261-020-02518-2.
The aim of the study is to predict the rate of liver regeneration in recipients after living-donor liver transplantation using preoperative CT texture and shape analysis of the future graft.
102 donor-recipient pairs who underwent living-donor liver transplantation using right lobe grafts were retrospectively included. We semi-automatically segmented the future graft from preoperative CT. The volume of the future graft (LV) was measured, and texture and shape analyses were performed. The graft liver was segmented from postoperative follow-up CT and the volume of the graft (LV) was measured. The regeneration index was defined by the following equation: [(LV-LV)/LV] × 100(%). We performed a stepwise, multivariate linear regression analysis to investigate the association between clinical, texture and shape parameters and the RI and to make the best-fit predictive model.
The mean regeneration index was 47.5 ± 38.6%. In univariate analysis, the volume of the future graft, energy, effective diameter, surface area, sphericity, roundness, compactness1, and grey-level co-occurrence matrix contrast as well as several clinical parameters were significantly associated with the regeneration index (p < 0.05). The best-fit predictive model for the regeneration index made by multivariate analysis was as follows: Regeneration index (%) = 127.020-0.367 × effective diameter - 1.827 × roundness + 47.371 × recipient body surface area (m) + 12.041 × log(recipient white blood cell count) (× 10/μL)+ 18.034 (if the donor was female).
The effective diameter and roundness of the future graft were associated with liver regeneration. Preoperative CT texture analysis of future grafts can be useful for predicting liver regeneration in recipients after living-donor liver transplantation.
本研究旨在通过对未来供肝的术前 CT 纹理和形状分析，预测活体肝移植受者的肝再生率。
回顾性纳入 102 例接受右半肝供肝活体肝移植的供受者配对。我们半自动化地从术前 CT 中分割出未来供肝。测量未来供肝的体积（LV），并进行纹理和形状分析。从术后随访 CT 中分割出移植肝，测量移植肝的体积（LV）。再生指数定义为：[（LV-LV）/LV]×100（%）。我们进行了逐步多元线性回归分析，以研究临床、纹理和形状参数与 RI 之间的关系，并建立最佳拟合预测模型。
平均再生指数为 47.5±38.6%。单因素分析显示，未来供肝的体积、能量、有效直径、表面积、球形度、圆形度、紧致度 1 和灰度共生矩阵对比度以及一些临床参数与再生指数显著相关（p<0.05）。多元分析建立的最佳拟合预测再生指数的模型为：再生指数（%）=127.020-0.367×有效直径-1.827×圆形度+47.371×受者体表面积（m）+12.041×log（受者白细胞计数）（×10/μL）+18.034（如果供者为女性）。
未来供肝的有效直径和圆形度与肝再生有关。未来供肝的术前 CT 纹理分析有助于预测活体肝移植受者的肝再生。
