caa a22 4500 605494010 CHVBK 20210128100523.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00261-014-0231-9 doi (NATIONALLICENCE)springer-10.1007/s00261-014-0231-9 Feasibility of three-dimensional virtual surgical planning in living liver donors [Elektronische Daten] [Jeong Yoon, Jeong Lee, Ju Jun, Kyung-Suk Suh, Philippe Coulon, Joon Han, Byung Choi] Purpose: The aim of the study was to determine the accuracy, reproducibility, and improvement in the clinical workflow of a semiautomatic computed tomography (CT) virtual surgical planning program in estimating graft volume using actual graft weight as a standard of reference in living liver donors. Materials and methods: This retrospective study was approved by our Institutional Review Board and the requirement for informed consent was waived. A total of 105 liver donor candidates who underwent preoperative liver CT were reviewed. Volumes of the whole liver (V T), four hepatic segments, and predicted volumes of the hepatic graft (V pred) were obtained using a semiautomatic analysis program by radiologists and a conventional manual volumetry program by surgeons. Intraobserver and interobserver agreements of V T and V pred were assessed using intraclass correlation coefficients (ICCs). V pred was also compared to the actual graft weight (W act) and analysis times were recorded. In addition, potential vascular complications were assessed using the surgical planning function of the software. Results: The mean processing time of hepatic volumetry, segmentation, and surgical planning using software was significantly shorter than that using manual volumetry (175.9±46.6 vs. 916.6±52.8s, P<0.001). V T and V pred obtained using the semiautomatic analysis program showed significant intra and interobserver agreements (ICC=0.98-0.99), and V pred showed strong correlation with W act (r=0.83-0.86, P<0.0001). Furthermore, image review using the liver analysis program detected 80% (4/5) vascular complications. Conclusion: Liver volumetry and estimation of graft volume using liver analysis software provided good accuracy and excellent reproducibility in a short time than manual volumetry method and was useful for identifying vascular complications. Springer Science+Business Media New York, 2014 Liver nationallicence Donor nationallicence Computed tomography nationallicence Volumetry nationallicence Segmentation nationallicence Yoon Jeong Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut Lee Jeong Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut Jun Ju Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut Suh Kyung-Suk Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut Coulon Philippe Philips Healthcare, 33 rue de Verdun, 92156, Suresnes Cedex, France aut Han Joon Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut Choi Byung Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut Abdominal Imaging Springer US; http://www.springer-ny.com 40/3(2015-03-01), 510-520 0942-8925 40:3<510 2015 40 261 https://doi.org/10.1007/s00261-014-0231-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00261-014-0231-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yoon Jeong Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut NATIONALLICENCE 700 1- Lee Jeong Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut NATIONALLICENCE 700 1- Jun Ju Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut NATIONALLICENCE 700 1- Suh Kyung-Suk Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut NATIONALLICENCE 700 1- Coulon Philippe Philips Healthcare, 33 rue de Verdun, 92156, Suresnes Cedex, France aut NATIONALLICENCE 700 1- Han Joon Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut NATIONALLICENCE 700 1- Choi Byung Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea aut NATIONALLICENCE 773 0- Abdominal Imaging Springer US; http://www.springer-ny.com 40/3(2015-03-01), 510-520 0942-8925 40:3<510 2015 40 261