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タイトル: Statistical Analysis of Interactive Surgical Planning Using Shape Descriptors in Mandibular Reconstruction with Fibular Segments
著者: Nakao, Megumi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-5508-4366 (unconfirmed)
Aso, Shimpei
Imai, Yuichiro
Ueda, Nobuhiro
Hatanaka, Toshihide
Shiba, Mao
Kirita, Tadaaki
Matsuda, Tetsuya  KAKEN_id  orcid https://orcid.org/0000-0002-2339-1521 (unconfirmed)
著者名の別形: 中尾, 恵
発行日: 1-Sep-2016
出版者: Public Library of Science (PLoS)
誌名: PLOS ONE
巻: 11
号: 9
論文番号: e0161524
抄録: This study was performed to quantitatively analyze medical knowledge of, and experience with, decision-making in preoperative virtual planning of mandibular reconstruction. Three shape descriptors were designed to evaluate local differences between reconstructed mandibles and patients’ original mandibles. We targeted an asymmetrical, wide range of cutting areas including the mandibular sidepiece, and defined a unique three-dimensional coordinate system for each mandibular image. The generalized algorithms for computing the shape descriptors were integrated into interactive planning software, where the user can refine the preoperative plan using the spatial map of the local shape distance as a visual guide. A retrospective study was conducted with two oral surgeons and two dental technicians using the developed software. The obtained 120 reconstruction plans show that the participants preferred a moderate shape distance rather than optimization to the smallest. We observed that a visually plausible shape could be obtained when considering specific anatomical features (e.g., mental foramen. mandibular midline). The proposed descriptors can be used to multilaterally evaluate reconstruction plans and systematically learn surgical procedures.
著作権等: © 2016 Nakao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
URI: http://hdl.handle.net/2433/217255
DOI(出版社版): 10.1371/journal.pone.0161524
PubMed ID: 27583465
出現コレクション:学術雑誌掲載論文等

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