Unknown

Dataset Information

0

Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation.


ABSTRACT: CT volumetry (CTV) has been widely used for pre-operative graft weight (GW) estimation in living-donor liver transplantation (LDLT), and the use of a deep-learning algorithm (DLA) may further improve its efficiency. However, its accuracy has not been well determined. To evaluate the efficiency and accuracy of DLA-assisted CTV in GW estimation, we performed a retrospective study including 581 consecutive LDLT donors who donated a right-lobe graft. Right-lobe graft volume (GV) was measured on CT using the software implemented with the DLA for automated liver segmentation. In the development group (n = 207), a volume-to-weight conversion formula was constructed by linear regression analysis between the CTV-measured GV and the intraoperative GW. In the validation group (n = 374), the agreement between the estimated and measured GWs was assessed using the Bland-Altman 95% limit-of-agreement (LOA). The mean process time for GV measurement was 1.8 ± 0.6 min (range, 1.3-8.0 min). In the validation group, the GW was estimated using the volume-to-weight conversion formula (estimated GW [g] = 206.3 + 0.653 × CTV-measured GV [mL]), and the Bland-Altman 95% LOA between the estimated and measured GWs was -1.7% ± 17.1%. The DLA-assisted CT volumetry allows for time-efficient and accurate estimation of GW in LDLT.

SUBMITTER: Park R 

PROVIDER: S-EPMC8946991 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation.

Park Rohee R   Lee Seungsoo S   Sung Yusub Y   Yoon Jeeseok J   Suk Heung-Il HI   Kim Hyoungjung H   Choi Sanghyun S  

Diagnostics (Basel, Switzerland) 20220225 3


CT volumetry (CTV) has been widely used for pre-operative graft weight (GW) estimation in living-donor liver transplantation (LDLT), and the use of a deep-learning algorithm (DLA) may further improve its efficiency. However, its accuracy has not been well determined. To evaluate the efficiency and accuracy of DLA-assisted CTV in GW estimation, we performed a retrospective study including 581 consecutive LDLT donors who donated a right-lobe graft. Right-lobe graft volume (GV) was measured on CT u  ...[more]

Similar Datasets

| S-EPMC10702455 | biostudies-literature
| S-EPMC5483501 | biostudies-other
| S-EPMC5018955 | biostudies-literature
| S-EPMC7871790 | biostudies-literature
| S-EPMC7977741 | biostudies-literature
| S-EPMC6604587 | biostudies-literature
| S-EPMC3401351 | biostudies-literature
| S-EPMC8848424 | biostudies-literature
| S-EPMC5876266 | biostudies-literature
| S-EPMC9345340 | biostudies-literature