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      KCI등재 SCOPUS SCIE

      The correlation between preoperative volumetry and real graft weight = comparison of two volumetry programs

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      https://www.riss.kr/link?id=A103044135

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      다국어 초록 (Multilingual Abstract)

      Purpose: Liver volumetry is a vital component in living donor liver transplantation to determine an adequate graft volume that meets the metabolic demands of the recipient and at the same time ensures donor safety. Most institutions use preoperative contrast-enhanced CT image-based software programs to estimate graft volume. The objective of this study was to evaluate the accuracy of 2 liver volumetry programs (Rapidia vs. Dr. Liver) in preoperative right liver graft estimation compared with real graft weight.
      Methods: Data from 215 consecutive right lobe living donors between October 2013 and August 2015 were retrospectively reviewed. One hundred seven patients were enrolled in Rapidia group and 108 patients were included in the Dr. Liver group. Estimated graft volumes generated by both software programs were compared with real graft weight measured during surgery, and further classified into minimal difference (≤15%) and big difference (>15%). Correlation coefficients and degree of difference were determined. Linear regressions were calculated and results depicted as scatterplots.
      Results: Minimal difference was observed in 69.4% of cases from Dr. Liver group and big difference was seen in 44.9% of cases from Rapidia group (P = 0.035). Linear regression analysis showed positive correlation in both groups (P < 0.01). However, the correlation coefficient was better for the Dr. Liver group (R2 = 0.719), than for the Rapidia group (R2 = 0.688).
      Conclusion: Dr. Liver can accurately predict right liver graft size better and faster than Rapidia, and can facilitate preoperative planning in living donor liver transplantation.
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      Purpose: Liver volumetry is a vital component in living donor liver transplantation to determine an adequate graft volume that meets the metabolic demands of the recipient and at the same time ensures donor safety. Most institutions use preoperative c...

      Purpose: Liver volumetry is a vital component in living donor liver transplantation to determine an adequate graft volume that meets the metabolic demands of the recipient and at the same time ensures donor safety. Most institutions use preoperative contrast-enhanced CT image-based software programs to estimate graft volume. The objective of this study was to evaluate the accuracy of 2 liver volumetry programs (Rapidia vs. Dr. Liver) in preoperative right liver graft estimation compared with real graft weight.
      Methods: Data from 215 consecutive right lobe living donors between October 2013 and August 2015 were retrospectively reviewed. One hundred seven patients were enrolled in Rapidia group and 108 patients were included in the Dr. Liver group. Estimated graft volumes generated by both software programs were compared with real graft weight measured during surgery, and further classified into minimal difference (≤15%) and big difference (>15%). Correlation coefficients and degree of difference were determined. Linear regressions were calculated and results depicted as scatterplots.
      Results: Minimal difference was observed in 69.4% of cases from Dr. Liver group and big difference was seen in 44.9% of cases from Rapidia group (P = 0.035). Linear regression analysis showed positive correlation in both groups (P < 0.01). However, the correlation coefficient was better for the Dr. Liver group (R2 = 0.719), than for the Rapidia group (R2 = 0.688).
      Conclusion: Dr. Liver can accurately predict right liver graft size better and faster than Rapidia, and can facilitate preoperative planning in living donor liver transplantation.

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      목차 (Table of Contents)

      • INTRODUCTION
      • METHODS
      • RESULTS
      • DISCUSSION
      • REFERENCES
      • INTRODUCTION
      • METHODS
      • RESULTS
      • DISCUSSION
      • REFERENCES
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      참고문헌 (Reference)

      1 Pomposelli JJ, "Variability of standard liver volume estimation versus software-assisted total liver volume measurement" 18 : 1083-1092, 2012

      2 Yonemura Y, "Validity of preoperative volumetric analysis of congestion volume in living donor liver transplantation using threedimensional computed tomography" 11 : 1556-1562, 2005

      3 Perandini S, "The diagnostic contribution of CT volumetric rendering techniques in routine practice" 20 : 92-97, 2010

      4 Makuuchi M, "Technical progress in living donor liver transplantation for adults" 6 : 95-98, 2004

      5 Tanaka K, "Surgical techniques and innovations in living related liver transplantation" 217 : 82-91, 1993

      6 Hashikura Y, "Successful living-related partial liver transplantation to an adult patient" 343 : 1233-1234, 1994

      7 Jung EJ, "Splenomegaly during oxaliplatin-based chemotherapy for colorectal carcinoma" 32 : 3357-3362, 2012

      8 Dahm F, "Smallfor-size syndrome after partial liver transplantation : definition, mechanisms of disease and clinical implications" 5 : 2605-2610, 2005

      9 Kim KW, "Right lobe estimated blood-free weight for living donor liver transplantation : accuracy of automated blood-free CT volumetry--preliminary results" 256 : 433-440, 2010

      10 Suzuki K, "Quantitative radiology: automated CT liver volumetry compared with interactive volumetry and manual volumetry" 197 : W706-W712, 2011

      1 Pomposelli JJ, "Variability of standard liver volume estimation versus software-assisted total liver volume measurement" 18 : 1083-1092, 2012

      2 Yonemura Y, "Validity of preoperative volumetric analysis of congestion volume in living donor liver transplantation using threedimensional computed tomography" 11 : 1556-1562, 2005

      3 Perandini S, "The diagnostic contribution of CT volumetric rendering techniques in routine practice" 20 : 92-97, 2010

      4 Makuuchi M, "Technical progress in living donor liver transplantation for adults" 6 : 95-98, 2004

      5 Tanaka K, "Surgical techniques and innovations in living related liver transplantation" 217 : 82-91, 1993

      6 Hashikura Y, "Successful living-related partial liver transplantation to an adult patient" 343 : 1233-1234, 1994

      7 Jung EJ, "Splenomegaly during oxaliplatin-based chemotherapy for colorectal carcinoma" 32 : 3357-3362, 2012

      8 Dahm F, "Smallfor-size syndrome after partial liver transplantation : definition, mechanisms of disease and clinical implications" 5 : 2605-2610, 2005

      9 Kim KW, "Right lobe estimated blood-free weight for living donor liver transplantation : accuracy of automated blood-free CT volumetry--preliminary results" 256 : 433-440, 2010

      10 Suzuki K, "Quantitative radiology: automated CT liver volumetry compared with interactive volumetry and manual volumetry" 197 : W706-W712, 2011

      11 Chen CL, "Living-donor liver transplantation:12 years of experience in Asia" 75 (75): S6-S11, 2003

      12 Kawasaki S, "Living related liver transplantation in adults" 227 : 269-274, 1998

      13 D’Onofrio M, "Liver volumetry : is imaging reliable? Personal experience and review of the literature" 6 : 62-71, 2014

      14 Hermoye L, "Liver segmentation in living liver transplant donors : comparison of semiautomatic and manual methods" 234 : 171-178, 2005

      15 최영록, "Heterogeneous living donor hepatic fat distribution on MRI chemical shift imaging" 대한외과학회 89 (89): 37-42, 2015

      16 Sakamoto S, "Graft size assessment and analysis of donors for living donor liver transplantation using right lobe" 71 : 1407-1413, 2001

      17 Yang X, "Development of a user-centered virtual liver surgery planning system" Human Factors and Ergonomics Society 772-776, 2012

      18 Yoneyama T, "Coefficient factor for graft weight estimation from preoperative computed tomography volumetry in living donor liver transplantation" 17 : 369-372, 2011

      19 Karlo C, "CT- and MRI-based volumetry of resected liver specimen: comparison to intraoperative volume and weight measurements and calculation of conversion factors" 751 : e107-e101, 2010

      20 Bae KT, "Automatic segmentation of liver structure in CT images" 20 : 71-78, 1993

      21 Gao L, "Automatic liver segmentation technique for three-dimensional visualization of CT data" 201 : 359-364, 1996

      22 Okada T, "Automated segmentation of the liver from 3D CT images using probabilistic atlas and multilevel statistical shape model" 15 : 1390-1403, 2008

      23 Luciani A, "Automated liver volumetry in orthotopic liver transplantation using multiphase acquisitions on MDCT" 198 : W568-W574, 2012

      24 Nakayama Y, "Automated hepatic volumetry for living related liver transplantation at multisection CT" 240 : 743-748, 2006

      25 Lo CM, "Adult-to-adult living donor liver transplantation using extended right lobe grafts" 226 : 261-269, 1997

      26 Mokry T, "Accuracy of estimation of graft size for living-related liver transplantation: first results of a semi-automated interactive software for CT-volumetry" 9 : e110201-, 2014

      27 Kayashima H, "Accuracy of an age-adjusted formula in assessing the graft volume in living donor liver transplantation" 14 : 1366-1371, 2008

      28 Yang X, "A hybrid semi-automatic method for liver segmentation based on level-set methods using multiple seed points" 113 : 69-79, 2014

      29 Lee SG, "157 adult-to-adult living donor liver transplantation" 33 : 1323-1325, 2001

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      학술지 이력

      학술지 이력
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      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2002-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.39 0.21 0.97
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.73 0.56 0.328 0.06
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