Upload
others
View
0
Download
0
Embed Size (px)
Citation preview
Chongwoo Chu1, Xiaopeng Yang2, Jaedo Yang3, Younggeun Choi2, Jeho Ryu1, Kwangho Yang1,Youngmok Park1, Hee Chul Yu3, Baik Hwan Cho3, and Heecheon You2
Approach• Preoperative GV measurement by Dr. Liver
(Humanopia, Inc., South Korea)1. GVw_vein measurement
2. GVw/o_vein measurement
Introduction Background
• Estimation of graft weight (GW) is important to both donor and recipient for safe and successfulliver surgery
• Existing regression models for GW estimation from preoperatively calculated graft volume with vein (GVw_vein)
• Limitations of the existing models1. Using GV with vein to estimate GW without
vein2. Small sample size (16) of Lemke et al.’s model3. Low adjusted R2 value (0.52) of Yoneyama et
al.’s model4. Not validated5. Not for Korean population
Materials & Methods
Discussion The proposed regression model by GVw/o_vein
showed superior to existing models in accuracy Surgeons need to spend 2~3 minutes more on GW
estimation using the proposed model than existing models due to veins extraction. Further validation using data from more medical
centers is needed.
Recipient DonorToo small graft ⇒
Posttransplantcomplicationssuch as small-for-size syndrome
Too much loss of liver tissue⇒
High risk of postoperative liver failure
Authors Regression Models
AdjustedR2
SampleNationality Size Age
Lemke et al. (2006)
GW = 143.704 + 0.678 × GVw_vein
0.76 Germany 16 45.4±14.1
Yoneyamaet al. (2011)
GW = 0.84 ×GVw_vein
0.52 Japan 39 N.A.
CT Data GW Measured in surgery
GVw/o_veinCalculated
pre-operatively
GW Estimation
Model
Regression analysis
LVw_vein
Veins
GW = 74.7 + 0.773 × GVw_vein (Adj. R2 = 0.87)
GW = 29.1 + 0.943 × GVw/o_vein (Adj. R2 = 0.94)
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 15%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
SyngoVia by GVw_vein
Lemke et al. (2006)'s by GVw_vein
Yoneyama et al. (2011)'s by GVw_vein
Proposed by GVw_vein Proposed by GVw_vein
Proposed by GVw/o_vein
PAE > 10%: 31%
PAE > 10%: 10%
PAE > 10%: 10%
PAE > 10%: 0%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 17%
Lemke et al. (2006)'s by GVw_vein
Yoneyama et al. (2011)'s by GVw_vein
PAE > 10%: 13%
Proposed by GVw/o_vein
PAE > 10%: 26%
PAE > 10%: 0%
Methods
PNUYH Data (n = 20) CBNUH Data (n =23)
Absolute Error (AE; g)
Percentage of AE (PAE)
Percen-tage of PAE > 10%
AE(g) PAE Percen-
tage of PAE > 10%Mean
(SD) SE Mean(SD) SE Mean
(SD) SE Mean(SD) SE
Lemke et al. (2006) by GVw_vein
36.6(22.5) 5.0 5.8%
(4.1%) 0.9% 15.0% 45.5(32.9) 6.9 6.1%
(4.1%) 0.9% 17.4%
Yoneyama et al. (2011) by GVw_vein
34.2(26.4) 5.9 5.0%
(3.5%) 0.8% 10.0% 42.0(36.8) 7.7 5.7%
(4.9%) 1.0% 13.0%
SyngoVia 52.5(49.7) 12.4 8.3%
(7.1%) 1.8% 31.3% - - - - -
Proposed by GVw_vein35.0
(25.1) 5.6 5.4%(3.9%) 0.9% 10.0% 41.8
(33.9) 7.1 5.8%(4.6%) 1.0% 26.1%
Proposed by GVw/o_vein16.3
(12.6) 2.8 2.6%(2.2%) 0.5% 0.0% 21.5
(16.5) 3.4 3.0%(2.3%) 0.5% 0.0%
Percentage of AE Percentage of PAE > 10%
Frequency distribution of PAE (left: PNUYH, right: CBNUH)
Results
Objectives of the Study1. Develop a regression model using graft volume
without vein (GVw/o_vein) for GW estimation2. Cross validate the proposed model
S1. Liver segmentation from CT and liver volume with vein (LVw_vein) measurement
S2. Liver surgery planning and GVw_vein calculation GVw_vein
LVw_vein
S1. Liver segmentation from CT and LVw_vein calculation
S2. Liver veins (portal and hepatic veins) segmentations from CT and their volumes calculation
S3. Exclude veins from the liver and calculate liver volume without vein (LVw/o_vein)
S4. Liver surgery planning and GVw/o_vein calculation
GVw/o_vein
LVw/o_vein
Data & Software for Regression• 40 cases (age: 29.7 ± 10.6 years) with CT images
and GW measured in surgery provided by Pusan National University Yangsan Hospital (PNUYH)
• Statistical software: Minitab version 14 (Minitab, Inc., USA)
Regression Models1. Proposed by GVw_vein
2. Proposed by GVw/o_vein
Cross Validation• Data
1. 20 cases (age: 24.1 ± 6.9 years) with CT images and GW measured in surgery provided by PNUYH
2. 23 cases (age: 29.6 ± 10.8 years) provided by Chonbuk National University Hospital (CBNUH)
• Comparison to Lemke et al.’s and Yoneyama et al.’s models and SyngoVia method (GW = 0.9 ×GVw_vein manually measured by SyngoVia:Siemens Co., Germany)
• Validation results
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
Lemke et al.'s(2006) byGVw_vein
Yoneyama etal.'s (2011) by
GVw_vein
Syngovia byGVw_vein
Proposed byGVw_vein
Proposed byGVw/o_vein
Perc
enta
ge o
f PA
EE >
10%
PNUYH
CBNUH
0%0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
Lemke et al.'s(2006) byGVw_vein
Yoneyama etal.'s (2011) by
GVw_vein
Syngovia byGVw_vein
Proposed byGVw_vein
Proposed byGVw/o_vein
S.E.
% o
f abs
olut
e es
timat
ion
erro
r
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 15%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
SyngoVia by GVw_vein
Lemke et al. (2006)'s by GVw_vein
Yoneyama et al. (2011)'s by GVw_vein
Proposed by GVw_vein
Proposed by GVw/o_vein Proposed by GVw/o_vein
PAE > 10%: 31%
PAE > 10%: 10%
PAE > 10%: 10%
PAE > 10%: 0%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 17%
Lemke et al. (2006)'s by GVw_vein
Yoneyama et al. (2011)'s by GVw_vein
PAE > 10%: 13%
Proposed by GVw_vein
PAE > 10%: 26%
PAE > 10%: 0%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 15%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
SyngoVia by GVw_vein
Lemke et al. (2006)'s by GVw_vein
Yoneyama et al. (2011)'s by GVw_vein
Proposed by GVw_vein
Proposed by GVw/o_vein
PAE > 10%: 31%
PAE > 10%: 10%
PAE > 10%: 10%
PAE > 10%: 0%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 17%
Lemke et al. (2006)'s by GVw_vein
Yoneyama et al. (2011)'s by GVw_vein
PAE > 10%: 13%
Proposed by GVw_vein
Proposed by GVw/o_vein
PAE > 10%: 26%
PAE > 10%: 0%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 15%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
SyngoVia by GVw_vein
Lemke et al. (2006)'s by GVw_vein
Yoneyama et al. (2011)’s by GVw_vein Yoneyama et al. (2011)’s by GVw_vein
Proposed by GVw_vein
Proposed by GVw/o_vein
PAE > 10%: 31%
PAE > 10%: 10%
PAE > 10%: 10%
PAE > 10%: 0%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 17%
Lemke et al. (2006)'s by GVw_vein
PAE > 10%: 13%
Proposed by GVw_vein
Proposed by GVw/o_vein
PAE > 10%: 26%
PAE > 10%: 0%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 15%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
SyngoVia by GVw_vein
Lemke et al. (2006)’s by GVw_vein Lemke et al. (2006)’s by GVw_vein
Yoneyama et al. (2011)'s by GVw_vein
Proposed by GVw_vein
Proposed by GVw/o_vein
PAE > 10%: 31%
PAE > 10%: 10%
PAE > 10%: 10%
PAE > 10%: 0%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
0
2
4
6
8
10
12
14
2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26%
PAE > 10%: 17%
Yoneyama et al. (2011)'s by GVw_vein
PAE > 10%: 13%
Proposed by GVw_vein
Proposed by GVw/o_vein
PAE > 10%: 26%
PAE > 10%: 0%
3Chonbuk National UniversityMedical School, Jeonju,561-712, South Korea
2Pohang University of Scienceand Technology, Pohang,790-784, South Korea
1Pusan National UniversityYangsan Hospital, Yangsan,626-770, South Korea
Development of a Graft Weight Prediction Model Using Preoperative CTVolumetric Measurement for Living Donor Liver Transplantation