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Erschienen in: Abdominal Radiology 11/2020

15.04.2020 | Hepatobiliary

Prediction of liver regeneration in recipients after living-donor liver transplantation in using preoperative CT texture analysis and clinical features

verfasst von: Junghoan Park, Jung Hoon Kim, Ji-Eun Kim, Sang Joon Park, Nam-Joon Yi, Joon Koo Han

Erschienen in: Abdominal Radiology | Ausgabe 11/2020

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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, roundnessm, 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 × roundnessm + 47.371 × recipient body surface area (m2) + 12.041 × log(recipient white blood cell count) (× 103/μL)+ 18.034 (if the donor was female).

Conclusion

The effective diameter and roundnessm 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.
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Metadaten
Titel
Prediction of liver regeneration in recipients after living-donor liver transplantation in using preoperative CT texture analysis and clinical features
verfasst von
Junghoan Park
Jung Hoon Kim
Ji-Eun Kim
Sang Joon Park
Nam-Joon Yi
Joon Koo Han
Publikationsdatum
15.04.2020
Verlag
Springer US
Erschienen in
Abdominal Radiology / Ausgabe 11/2020
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-020-02518-2

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