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Surgical navigation system for laparoscopic lateral pelvic lymph node dissection in rectal cancer surgery using laparoscopic-vision-tracked ultrasonic imaging.
Ma, Lei; Wang, Junchen; Kiyomatsu, Hidemichi; Tsukihara, Hiroyuki; Sakuma, Ichiro; Kobayashi, Etsuko.
Afiliação
  • Ma L; Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
  • Wang J; School of Mechanical Engineering, Beihang University, Beijing, China.
  • Kiyomatsu H; Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
  • Tsukihara H; Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
  • Sakuma I; Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
  • Kobayashi E; Graduate School of Engineering, The University of Tokyo, Tokyo, Japan. etsuko@bmpe.t.u-tokyo.ac.jp.
Surg Endosc ; 35(12): 6556-6567, 2021 12.
Article em En | MEDLINE | ID: mdl-33185764
BACKGROUND: Laparoscopic 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. METHODS: This 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. RESULTS: Experiments 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. CONCLUSIONS: The 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Laparoscopia Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Surg Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Laparoscopia Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Surg Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão