Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation
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 a...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/12/3/590 |
| _version_ | 1797472059638415360 |
|---|---|
| author | Rohee Park Seungsoo Lee Yusub Sung Jeeseok Yoon Heung-Il Suk Hyoungjung Kim Sanghyun Choi |
| author_facet | Rohee Park Seungsoo Lee Yusub Sung Jeeseok Yoon Heung-Il Suk Hyoungjung Kim Sanghyun Choi |
| author_sort | Rohee Park |
| collection | DOAJ |
| description | 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 (<i>n</i> = 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 (<i>n</i> = 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. |
| first_indexed | 2024-03-09T19:56:53Z |
| format | Article |
| id | doaj.art-562ac1227e3e48f6a96c20c8f5c71812 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T19:56:53Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-562ac1227e3e48f6a96c20c8f5c718122023-11-24T00:54:29ZengMDPI AGDiagnostics2075-44182022-02-0112359010.3390/diagnostics12030590Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver TransplantationRohee Park0Seungsoo Lee1Yusub Sung2Jeeseok Yoon3Heung-Il Suk4Hyoungjung Kim5Sanghyun Choi6Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Brain and Cognitive Engineering, Korea University, Seoul 08308, KoreaDepartment of Brain and Cognitive Engineering, Korea University, Seoul 08308, KoreaDepartment of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaCT 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 (<i>n</i> = 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 (<i>n</i> = 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.https://www.mdpi.com/2075-4418/12/3/590deep learningCT volumetrysegmentationliving right liver donors |
| spellingShingle | Rohee Park Seungsoo Lee Yusub Sung Jeeseok Yoon Heung-Il Suk Hyoungjung Kim Sanghyun Choi Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation Diagnostics deep learning CT volumetry segmentation living right liver donors |
| title | Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation |
| title_full | Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation |
| title_fullStr | Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation |
| title_full_unstemmed | Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation |
| title_short | Accuracy and Efficiency of Right-Lobe Graft Weight Estimation Using Deep-Learning-Assisted CT Volumetry for Living-Donor Liver Transplantation |
| title_sort | accuracy and efficiency of right lobe graft weight estimation using deep learning assisted ct volumetry for living donor liver transplantation |
| topic | deep learning CT volumetry segmentation living right liver donors |
| url | https://www.mdpi.com/2075-4418/12/3/590 |
| work_keys_str_mv | AT roheepark accuracyandefficiencyofrightlobegraftweightestimationusingdeeplearningassistedctvolumetryforlivingdonorlivertransplantation AT seungsoolee accuracyandefficiencyofrightlobegraftweightestimationusingdeeplearningassistedctvolumetryforlivingdonorlivertransplantation AT yusubsung accuracyandefficiencyofrightlobegraftweightestimationusingdeeplearningassistedctvolumetryforlivingdonorlivertransplantation AT jeeseokyoon accuracyandefficiencyofrightlobegraftweightestimationusingdeeplearningassistedctvolumetryforlivingdonorlivertransplantation AT heungilsuk accuracyandefficiencyofrightlobegraftweightestimationusingdeeplearningassistedctvolumetryforlivingdonorlivertransplantation AT hyoungjungkim accuracyandefficiencyofrightlobegraftweightestimationusingdeeplearningassistedctvolumetryforlivingdonorlivertransplantation AT sanghyunchoi accuracyandefficiencyofrightlobegraftweightestimationusingdeeplearningassistedctvolumetryforlivingdonorlivertransplantation |