The clinical application of neuro-robot in the resection of epileptic foci: a novel method assisting epilepsy surgery

Xu, Yuhong; Chen, Yingchuan; Liu, Huanguang; Zhang, Hua; Yin, Zixiao; Liu, Defeng; Zhu, Guanyu; Diao, Yun-Peng; Wu, Dianming; Xie, Hutao; Hu, Wenhan; Zhang, Xin; Shao, Xiaoqiu; Zhang, Kai; Zhang, Jianguo; Yang, Anchao

doi:10.1007/s11701-023-01615-w

Cited by 1 publication

(2 citation statements)

References 47 publications

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“…Despite the findings described in the proceedings sheet, we found that conversation analyses before, during, and after utilization of 3D-printed liver models were effective assessments of the clinical value that facilitated fostering common recognition among doctors during surgery and continuing surgery safely [21]. This assessment procedure for navigation surgery is quite different from the previously reported assessments [25][26][27][28][29][30][31][32][33][34]. In the present study, according to our conversation analysis, the clinical value of 3D-printed liver model navigation was shown to have an educational effect for non-expert surgeons under the guidance of an expert surgeon.…”

Section: Discussioncontrasting

confidence: 65%

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A clinical assessment of three-dimensional-printed liver model navigation for thrice or more repeated hepatectomy based on a conversation analysis

Igami,

Maehigashi,

Nakamura

et al. 2024

Surg Today

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Purposes We performed a conversation analysis of the speech conducted among the surgical team during three-dimensional (3D)-printed liver model navigation for thrice or more repeated hepatectomy (TMRH). Methods Seventeen patients underwent 3D-printed liver navigation surgery for TMRH. After transcription of the utterances recorded during surgery, the transcribed utterances were coded by the utterer, utterance object, utterance content, sensor, and surgical process during conversation. We then analyzed the utterances and clarified the association between the surgical process and conversation through the intraoperative reference of the 3D-printed liver. Results In total, 130 conversations including 1648 segments were recorded. Utterance coding showed that the operator/assistant, 3D-printed liver/real liver, fact check (F)/plan check (Pc), visual check/tactile check, and confirmation of planned resection or preservation target (T)/confirmation of planned or ongoing resection line (L) accounted for 791/857, 885/763, 1148/500, 1208/440, and 1304/344 segments, respectively. The utterance’s proportions of assistants, F, F of T on 3D-printed liver, F of T on real liver, and Pc of L on 3D-printed liver were significantly higher during non-expert surgeries than during expert surgeries. Confirming the surgical process with both 3D-printed liver and real liver and performing planning using a 3D-printed liver facilitates the safe implementation of TMRH, regardless of the surgeon’s experience. Conclusions The present study, using a unique conversation analysis, provided the first evidence for the clinical value of 3D-printed liver for TMRH for anatomical guidance of non-expert surgeons.

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Section: Discussioncontrasting

confidence: 65%

“…Regarding the clinical assessment of navigation surgery, there have been some reports on the accuracy of navigation [25][26][27][28][29][30]. Such an assessment focuses only on topologically navigating accuracy, which should be evaluated using another approach for a clinical assessment.…”

Section: Discussionmentioning

confidence: 99%