Feasibility of three-dimensional virtual surgical planning in living liver donors
Gespeichert in:
Verfasser / Beitragende:
[Jeong Yoon, Jeong Lee, Ju Jun, Kyung-Suk Suh, Philippe Coulon, Joon Han, Byung Choi]
Ort, Verlag, Jahr:
2015
Enthalten in:
Abdominal Imaging, 40/3(2015-03-01), 510-520
Format:
Artikel (online)
Online Zugang:
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| 024 | 7 | 0 | |a 10.1007/s00261-014-0231-9 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00261-014-0231-9 | ||
| 245 | 0 | 0 | |a Feasibility of three-dimensional virtual surgical planning in living liver donors |h [Elektronische Daten] |c [Jeong Yoon, Jeong Lee, Ju Jun, Kyung-Suk Suh, Philippe Coulon, Joon Han, Byung Choi] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Liver |2 nationallicence | |
| 690 | 7 | |a Donor |2 nationallicence | |
| 690 | 7 | |a Computed tomography |2 nationallicence | |
| 690 | 7 | |a Volumetry |2 nationallicence | |
| 690 | 7 | |a Segmentation |2 nationallicence | |
| 700 | 1 | |a Yoon |D Jeong |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | |
| 700 | 1 | |a Lee |D Jeong |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | |
| 700 | 1 | |a Jun |D Ju |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | |
| 700 | 1 | |a Suh |D Kyung-Suk |u Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | |
| 700 | 1 | |a Coulon |D Philippe |u Philips Healthcare, 33 rue de Verdun, 92156, Suresnes Cedex, France |4 aut | |
| 700 | 1 | |a Han |D Joon |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | |
| 700 | 1 | |a Choi |D Byung |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | |
| 773 | 0 | |t Abdominal Imaging |d Springer US; http://www.springer-ny.com |g 40/3(2015-03-01), 510-520 |x 0942-8925 |q 40:3<510 |1 2015 |2 40 |o 261 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00261-014-0231-9 |q text/html |z Onlinezugriff via DOI |
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| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00261-014-0231-9 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Yoon |D Jeong |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lee |D Jeong |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jun |D Ju |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Suh |D Kyung-Suk |u Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Coulon |D Philippe |u Philips Healthcare, 33 rue de Verdun, 92156, Suresnes Cedex, France |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Han |D Joon |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Choi |D Byung |u Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 110-744, Seoul, Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Abdominal Imaging |d Springer US; http://www.springer-ny.com |g 40/3(2015-03-01), 510-520 |x 0942-8925 |q 40:3<510 |1 2015 |2 40 |o 261 | ||