Artificial intelligence-driven 3D MRI of lumbosacral nerve root anomalies : accuracy, incidence, and clinical utility

Ukeba, Daisuke; Nagahama, Ken; Yamada, Katsuhisa; Abe, Yuichiro; Hyugaji, Yoshinori; Endo, Tsutomu; Ohnishi, Takashi; Tachi, Hiroyuki; Hasegawa, Yuichi; Sudo, Hideki; Iwasaki, Norimasa

Artificial intelligence-driven 3D MRI of lumbosacral nerve root anomalies : accuracy, incidence, and clinical utility

Ukeba, Daisuke; Nagahama, Ken; Yamada, Katsuhisa et al.

Neuroradiology, 2025, 67(4), 1095-1101

Permalink : https://hdl.handle.net/2115/97487

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アクセス権	open access
URI	https://hdl.handle.net/2115/97487
タイトル	Artificial intelligence-driven 3D MRI of lumbosacral nerve root anomalies : accuracy, incidence, and clinical utility
著者	Ukeba, Daisuke ; Nagahama, Ken ; Yamada, Katsuhisa ; Abe, Yuichiro ; Hyugaji, Yoshinori ; Endo, Tsutomu ; Ohnishi, Takashi ; Tachi, Hiroyuki ; Hasegawa, Yuichi ; Sudo, Hideki ; Iwasaki, Norimasa
e-Rad_Researcher 80907981 著者名 Ukeba, Daisuke
著者名 Nagahama, Ken
著者名 Yamada, Katsuhisa
著者名 Abe, Yuichiro
著者名 Hyugaji, Yoshinori
e-Rad_Researcher 90805293 著者名 Endo, Tsutomu
著者名 Ohnishi, Takashi
著者名 Tachi, Hiroyuki
著者名 Hasegawa, Yuichi
e-Rad_Researcher 30374367 著者名 Sudo, Hideki
e-Rad_Researcher 30322803 著者名 Iwasaki, Norimasa
言語	英語
キーワード	Artificial intelligence
	Lumbosacral nerve root
	Anomaly
	Epidemiology
	3D image
発行日	2025-03-01
出版者	Springer
収録物名	Neuroradiology
巻(号)	67(4)
ページ	1095-1101
抄録	Purpose Lumbosacral nerve root anomalies are relatively rare but can be a risk factor for intraoperative nerve injury. However, it is often difficult to evaluate them with preoperative imaging. We developed a software that automatically generates three-dimensional (3D) nerve root images from magnetic resonance (MR) imaging using artificial intelligence (AI). This study aims to evaluate the accuracy and utility of this modality in clinical practice by conducting an epidemiological study of nerve root anomalies. Methods The incidence and morphology of nerve root anomalies were evaluated in the 3D images of 1,500 patients. The accuracy of the images was evaluated by comparing the images generated automatically using this AI software with those created manually by conventional methods. Results Of 1,500 cases, 53 (3.5%) had nerve root anomalies with total of 58 nerve root anomalies. With respect to the spinal level, 35 nerve root anomalies were found in the L5-S1 level, the most common (60.3%). As for morphology, 47 nerve roots (81.0%) were of the Neidre-MacNab classification Type 1. The images matched in 1,493 out of 1,500 cases (99.5%) between the two methods, and the remaining 7 cases all had nerve root abnormalities, which were detected as abnormal by the AI software. Conclusion The MR nerve root 3D imaging provided a 3D visualization and understanding of nerve root morphology, including nerve root anomalies. The AI software enables easy and precise 3D nerve root imaging, which greatly aids in the preoperative evaluation for spinal surgery.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00234-025-03574-5
PISSN	0028-3940
EISSN	1432-1920
関連情報	PMID 40021500
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1007/s00234-025-03574-5