マサムネ ケン   Masamune Ken
  正宗 賢
   所属   医学研究科 医学研究科 (医学部医学科をご参照ください)
   職種   教授
論文種別 原著
言語種別 英語
査読の有無 査読あり
表題 Mixed Reality Needle Guidance Application on Smartglasses Without Pre-procedural CT Image Import with Manually Matching Coordinate Systems.
掲載誌名 正式名:Cardiovascular and interventional radiology
略  称:Cardiovasc Intervent Radiol
ISSNコード:1432086X/01741551
掲載区分国外
巻・号・頁 45(3),pp.349-356
著者・共著者 MORITA Satoru†, SUZUKI Kazufumi,, YAMAMOTO Takahiro, KUNIHARA Motoki, HASHIMOTO Hiroyuki, ITO Kayo, FUJII Shuhei, OHYA Jun, MASAMUNE Ken, SAKAI Shuji
発行年月 2022/03
概要 PURPOSE:To develop and assess the accuracy of a mixed reality (MR) needle guidance application on smartglasses.MATERIALS AND METHODS:An MR needle guidance application on HoloLens2, without pre-procedural CT image reconstruction or import by manually matching the spatial and MR coordinate systems, was developed. First, the accuracy of the target locations in the image overlay at 63 points arranged on a 45 × 35 × 21 cm box and needle angles from 0° to 80°, placed using the MR application, was verified. The needle placement errors from 12 different entry points in a phantom by seven operators (four physicians and three non-physicians) were compared using a linear mixed model between the MR guidance and conventional methods using protractors.RESULTS:The average errors of the target locations and needle angles placed using the MR application were 5.9 ± 2.6 mm and 2.3 ± 1.7°, respectively. The average needle insertion error using the MR guidance was slightly smaller compared to that using the conventional method (8.4 ± 4.0 mm vs. 9.6 ± 5.1 mm, p = 0.091), particularly in the out-of-plane approach (9.6 ± 3.5 mm vs. 12.3 ± 4.6 mm, p = 0.003). The procedural time was longer with MR guidance than with the conventional method (412 ± 134 s vs. 219 ± 66 s, p < 0.001).CONCLUSION:MR needle guidance without pre-procedural CT image import is feasible when matching coordinate systems, and the accuracy of needle insertion is slightly better than that of the conventional method.
DOI 10.1007/s00270-021-03029-3
PMID 35022858