Objective evaluation for endoscopic sinus surgeries’ proficiency by image analysis for postoperative 3D sinus models

Yamada, Kaito; Suzuki, Masanobu; Miyaji, Kou; Sase, Kazuya; Ebina, Koki; Tsujita, Teppei; Chen, Xiaoshuai; Komizunai, Shunsuke; Senoo, Taku; Nakazono, Akira; Watanabe, Ryosuke; Kimura, Shogo; Suzuki, Takayoshi; Nakamaru, Yuji; Matoba, Kotaro; Hinder, Dominik; Zhang, Alexander; Psaltis, Alkis J.; Wormald, Peter J.; Konno, Atsushi; Homma, Akihiro

Objective evaluation for endoscopic sinus surgeries’ proficiency by image analysis for postoperative 3D sinus models

Yamada, Kaito; Suzuki, Masanobu; Miyaji, Kou et al.

Auris nasus larynx, 2025, 52(5), 567-574

Permalink : https://hdl.handle.net/2115/98086

このアイテムのアクセス数:14件（2026-09-21 12:02 集計）

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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/98086
タイトル	Objective evaluation for endoscopic sinus surgeries’ proficiency by image analysis for postoperative 3D sinus models
著者	Yamada, Kaito ; Suzuki, Masanobu ; Miyaji, Kou ; Sase, Kazuya ; Ebina, Koki ; Tsujita, Teppei ; Chen, Xiaoshuai ; Komizunai, Shunsuke ; Senoo, Taku ; Nakazono, Akira ; Watanabe, Ryosuke ; Kimura, Shogo ; Suzuki, Takayoshi ; Nakamaru, Yuji ; Matoba, Kotaro ; Hinder, Dominik ; Zhang, Alexander ; Psaltis, Alkis J. ; Wormald, Peter J. ; Konno, Atsushi ; Homma, Akihiro
著者名 Yamada, Kaito
e-Rad_Researcher 70455658 著者名 Suzuki, Masanobu
著者名 Miyaji, Kou
著者名 Sase, Kazuya
著者名 Ebina, Koki
著者名 Tsujita, Teppei
著者名 Chen, Xiaoshuai
著者名 Komizunai, Shunsuke
e-Rad_Researcher 10512113 著者名 Senoo, Taku
e-Rad_Researcher 90581041 著者名 Nakazono, Akira
著者名 Watanabe, Ryosuke
e-Rad_Researcher 10637408 著者名 Kimura, Shogo
e-Rad_Researcher 30581037 著者名 Suzuki, Takayoshi
e-Rad_Researcher 20344509 著者名 Nakamaru, Yuji
e-Rad_Researcher 00466450 著者名 Matoba, Kotaro
著者名 Hinder, Dominik
著者名 Zhang, Alexander
著者名 Psaltis, Alkis J.
著者名 Wormald, Peter J.
e-Rad_Researcher 90250688 著者名 Konno, Atsushi
e-Rad_Researcher 30312359 著者名 Homma, Akihiro
言語	英語
キーワード	ESS
	3D-printer
	Surgical education
	Chronic rhinosinusitis
	3D slicer
発行日	2025-08-26
出版者	Elsevier
収録物名	Auris nasus larynx
巻(号)	52(5)
ページ	567-574
抄録	Objective: Objective assessment for endoscopic sinus surgery skill proficiency is challenging, partly due to the great diversity of anatomies. Recently developed 3D-printed sinus models provide standardized anatomy with realistic tissue-feel. In this study, we developed a method to evaluate endoscopic sinus surgery skill proficiency through pre- and post-operative image analysis of CT images of dissected 3D sinus models and validated it by comparing to other surgical proficiency indices. Methods: Forty-seven otolaryngologists performed endoscopic sinus surgery for 3D sinus models. CT images of each postoperative 3D model were taken. The region growing method, an image segmentation technique, was utilized to assess the surgical space expansion. The region of interest (ROI) was defined as the space within nasal cavity and paranasal sinuses and continuous from the anterior nostril with a width of >4.00 mm kept. The volume of ROI was estimated and compared with conventional assessment methods such as board-certification, the objective structured assessment of technical skills score, and the number of experienced surgery cases. Further, the 3D-CG images of ROI were created. The completion of surgical steps within the allocated time was evaluated based on the 3D-CG and compared with the recorded endoscopic video. Results: The volume in postoperative models was 24.48+4.34 cm(3 )across all participants, respectively. The postoperative volume was significantly larger in board-certified participants (certified; 25.51+4.22 cm(3) vs. uncertified; 22.87+4.14 cm3, p = 0.03). The volume is positively correlated to the objective structured assessment of technical skills score (r = 0.72, p < 0.01) and the number of experienced cases (r = 0.51, p = 0.01). The accuracy of the 3D-CG judgement for completion of a surgical middle meatal antrostomy, sphenoidotomy, and frontal sinusotomy were 91.3 %, 69.6 %, and 84.8 %, when compared to recorded endoscopic video, with high sensitivity and specificity. Conclusion: The combination of standardized 3D models and image analysis provides a simple and objective tool for the assessment of surgical skill proficiency.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
権利情報	© 2025. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
PISSN	0385-8146
EISSN	1879-1476
関連情報	PMID 40865388
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1016/j.anl.2025.08.005