Accurate and Reasonable Method for Estimation of Graft Volume in Living Donor Liver Transplantation

Yuan, Daoxian; Chen, Kefei; Li, Bo; Yan, Lvnan; Yue, Wei

doi:10.1097/tp.0b013e3181875959

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…Direct estimation of graft weight from graft volume was based on the assumption that the liver has the same density as water 19 , 20 ; however, the density of the liver is slightly higher than that of water 21 . Thus, graft weight directly estimated from graft volume tended to be larger than actual graft weight measured intraoperatively 15 , 17 , 22 – 26 . The indirect formulas converting graft volume to graft weight can be classified into two groups; one with blood volume included in graft volume 15 , 16 and the other with blood volume excluded from graft volume 1 , 14 , 17 , 18 .…”

Section: Introductionmentioning

confidence: 84%

Estimation of right lobe graft weight for living donor liver transplantation using deep learning-based fully automatic computed tomographic volumetry

Yang,

Park,

Lee

et al. 2023

Sci Rep

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This study aimed at developing a fully automatic technique for right lobe graft weight estimation using deep learning algorithms. The proposed method consists of segmentation of the full liver region from computed tomography (CT) images, classification of the entire liver region into the right and left lobes, and estimation of the right lobe graft weight from the CT-measured right lobe graft volume using a volume-to-weight conversion formula. The first two steps were performed with a transformer-based deep learning model. To train and evaluate the model, a total of 248 CT datasets (188 for training, 40 for validation, and 20 for testing and clinical evaluation) were used. The Dice similarity coefficient (DSC), mean surface distance (MSD), and the 95th percentile Hausdorff distance (HD95) were used for evaluating the segmentation accuracy of the full liver region and the right liver lobe. The correlation coefficient (CC), percentage error (PE), and percentage absolute error (PAE) were used for the clinical evaluation of the estimated right lobe graft weight. The proposed method achieved high accuracy in segmentation for DSC, MSD, and HD95 (95.9% ± 1.0%, 1.2 ± 0.4 mm, and 5.2 ± 1.9 mm for the entire liver region; 92.4% ± 2.7%, 2.0 ± 0.7 mm, and 8.8 ± 2.9 mm for the right lobe) and in clinical evaluation for CC, PE, and PAE (0.859, − 1.8% ± 9.6%, and 8.6% ± 4.7%). For the right lobe graft weight estimation, the present study underestimated the graft weight by − 1.8% on average. A mean difference of − 21.3 g (95% confidence interval: − 55.7 to 13.1, p = 0.211) between the estimated graft weight and the actual graft weight was achieved in this study. The proposed method is effective for clinical application.

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Section: Introductionmentioning

confidence: 84%

Estimation of right lobe graft weight for living donor liver transplantation using deep learning-based fully automatic computed tomographic volumetry

Yang,

Park,

Lee

et al. 2023

Sci Rep

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“…This distinction can lead to a large difference between the CT-calculated volume of the RLL and the actual weight of the RLL at the time of surgical resection. Other causes for the differences between the CT-calculated volume and the intraoperative weight include accuracy of the CT cuts, arterial and venous pressures, variation in CT image quality due to patient respiration, radiologist expertise, the fact that intraoperative measurements of the liver are taken without blood (which is considered to have a density of 1.00 g/ml), and variations in the location of the MHV division [21,[36][37][38].…”

Section: Discussionmentioning

confidence: 99%

Relationship between Preoperative Volume and Weight of the Right Liver Lobe Graft, with and without the Middle Hepatic Vein, in Living‐Donor Transplantation

et al. 2012

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“…1985 yılında Van Thiel ve arkadaşları klasik olarak BT ile ölçülen 1 mL karaciğer hacminin 1 gr karaciğer ağırlığına eşit olduğunu kabul etmişti (25). Ancak daha sonra çeşitli araştırmalarda cc olarak ölçülen preoperatif TGV'nin gram olarak ölçülen GGA'dan daha büyük olduğunu ve bu ikili arasında ±%5 ile ±%36 arasında yanılma payının olabileceği bildirilmiştir (10,13,(26)(27)(28)(29). Bu yanılma payının intraoperatif kanın drenajı, anatomik varyasyon, interobserver varyasyon ve BT cihazı varyasyonu gibi çeşitli nedenleri olduğu düşünülmüştür.…”

Section: Bulgularunclassified

Canlı vericili karaciğer transplantasyonu öncesi intraoperatif olarak ölçülen greft ağırlığının tahmininde bilgisayarlı tomografinin rolü

Özdemir¹,

Özer²,

Düzköylü³

et al. 2019

Akademik Gastroenteroloji Dergisi

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akademik gastroenteroloji dergisi 2019; 18(2): 39-43 rasyon sonrası vericide kalacak karaciğer ile alıcıya takılan greftin yetip yetmeyeceğinin değerlendirmesine bağlıdır.Hacim ve ağırlık anlamında uygun greftin elde edilmesi canlı vericili karaciğer naklinin en önemli kısımlarından biridir. Tam otomatik yazılım sistemleri son yıllarda kullanılmasına rağmen, manuel hacimsel hesaplamanın hala altın standart olduğu bilinmektedir (3). Bununla birlikte, bilgisayarlı sistemler hacimleri az veya çok tahmin edebi-GİRİŞ Karaciğer nakli, son dönem karaciğer hastalığı ve erken dönem karaciğer kanserini tedavi etmek için tüm dünyada yaygın olarak uygulanmaktadır (1). Ancak, kadavra donörlerinin yetersizliği, canlı vericili karaciğer naklini zorunlu kılmaktadır (2). Canlı vericili karaciğer naklinin başarısı, sadece donörün cerrahiye uygunluğunu değil aynı zamanda karaciğer steatozunun, vasküler ve biliyer anatominin detaylı preoperatif değerlendirmesini ve ope-Background and Aims: The aim of our study was to evaluate the graft in an alive donor liver for transplantation using computerized tomography (CT) estimated graft volume, which is calculated by comparing the estimated graft weight with the actual graft weight through a correction factor and its efficacy. Materials and Methods: The dynamic contrast-enhanced hepatic computerized tomography scans of 42 alive liver donors (20 females, 22 males; mean [standard deviation, range] age, 42.23 [17.25, 18-52] years), consecutively registered from January 2009 to July 2015 were retrospectively analyzed in this study. The donors were healthy adults who had undergone resection of the right liver lobe for liver transplantation. The calculated estimated graft volume was compared with the actual intraoperative graft weight of the harvested right hepatic lobe. Results: The mean preoperative liver volume was found to be 918.265 (580-1230) cc. The mean (range) calculated preoperative estimated graft weight and the actual graft weight were 818.119 (550-1171) g and 790.357 (505-1150) g, respectively. No significant association was found between the actual graft weight and the preoperative estimated graft volume. However, there was a strong statistical association between the actual graft weight and preoperative estimated graft weight. The Pearson's correlation analysis revealed a strong correlation (r = 0.98, p < 0.001), and the result of the regression model supported the finding (P < 0.0001). Conclusions:We found that the computerized tomography-estimated graft volume is different from the preoperative actual weight, and the current formula used worldwide is adequate and efficient for predicting the actual weight for evaluating the graft in a living donor liver for transplantation.

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Accurate and Reasonable Method for Estimation of Graft Volume in Living Donor Liver Transplantation

Cited by 10 publications

References 13 publications

Estimation of right lobe graft weight for living donor liver transplantation using deep learning-based fully automatic computed tomographic volumetry

Estimation of right lobe graft weight for living donor liver transplantation using deep learning-based fully automatic computed tomographic volumetry

Relationship between Preoperative Volume and Weight of the Right Liver Lobe Graft, with and without the Middle Hepatic Vein, in Living‐Donor Transplantation

Canlı vericili karaciğer transplantasyonu öncesi intraoperatif olarak ölçülen greft ağırlığının tahmininde bilgisayarlı tomografinin rolü

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