Evidence map›Paper›PMID 33185764›Full record

ArticleSurgical endoscopy2021

Surgical navigation system for laparoscopic lateral pelvic lymph node dissection in rectal cancer surgery using laparoscopic-vision-tracked ultrasonic imaging.

Lei Ma, Junchen Wang, Hidemichi Kiyomatsu, Hiroyuki Tsukihara, Ichiro Sakuma, Etsuko Kobayashi

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Article in Surgical endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Lei MaGraduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Junchen WangSchool of Mechanical Engineering, Beihang University, Beijing, China.
Hidemichi KiyomatsuGraduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Hiroyuki TsukiharaGraduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Ichiro SakumaGraduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Etsuko KobayashiGraduate School of Engineering, The University of Tokyo, Tokyo, Japan. etsuko@bmpe.t.u-tokyo.ac.jp.ORCID 0000-0003-1794-0173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaparoscopic lateral pelvic lymph node dissection (LPLND) in rectal cancer surgery requires considerable skill because the pelvic arteries, which need to be located to guide the dissection, are covered by other tissues and cannot be observed on laparoscopic views. Therefore, surgeons need to localize the pelvic arteries accurately before dissection, to prevent injury to these arteries.

methodsThis report proposes a surgical navigation system to facilitate artery localization in laparoscopic LPLND by combining ultrasonic imaging and laparoscopy. Specifically, free-hand laparoscopic ultrasound (LUS) is employed to capture the arteries intraoperatively in this approach, and a laparoscopic vision-based tracking system is utilized to track the LUS probe. To extract the artery contours from the two-dimensional ultrasound image sequences efficiently, an artery extraction framework based on local phase-based snakes was developed. After reconstructing the three-dimensional intraoperative artery model from ultrasound images, a high-resolution artery model segmented from preoperative computed tomography (CT) images was rigidly registered to the intraoperative artery model and overlaid onto the laparoscopic view to guide laparoscopic LPLND.

resultsExperiments were conducted to evaluate the performance of the vision-based tracking system, and the average reconstruction error of the proposed tracking system was found to be 2.4 mm. Then, the proposed navigation system was quantitatively evaluated on an artery phantom. The reconstruction time and average navigation error were 8 min and 2.3 mm, respectively. A navigation system was also successfully constructed to localize the pelvic arteries in laparoscopic and open surgeries of a swine. This demonstrated the feasibility of the proposed system in vivo. The construction times in the laparoscopic and open surgeries were 14 and 12 min, respectively.

conclusionsThe experimental results showed that the proposed navigation system can guide laparoscopic LPLND and requires a significantly shorter setting time than the state-of-the-art navigation systems do.

Indexed as

LaparoscopyRectal NeoplasmsAnimalsLymph Node ExcisionSurgical Navigation SystemsSwineUltrasonographyFree-hand ultrasoundSurgical navigationVessel segmentationVision-based tracking

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.