Prediction of liver regeneration in recipients after living-donor liver transplantation in using preoperative CT texture
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HEPATOBILIARY
Prediction of liver regeneration in recipients after living‑donor liver transplantation in using preoperative CT texture analysis and clinical features Junghoan Park1 · Jung Hoon Kim1,2,3 · Ji‑Eun Kim1 · Sang Joon Park1 · Nam‑Joon Yi4 · Joon Koo Han1,2,3
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Purpose 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. Methods 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 (LVpre) 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 (LVpost) was measured. The regeneration index was defined by the following equation: [(LVpost−LVpre)/LVpre] × 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. Results The mean regeneration index was 47.5 ± 38.6%. In univariate analysis, the volume of the future graft, energy, effective diameter, surface area, sphericity, r oundnessm, compactness1, and grey-level co-occurrence matrix contrast as well as several clinical parameters were significantly associated with the regeneration index (p
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