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DOI 10.1109/tbme.2022.3205458

Медицинская библиотека · IEEE transactions on bio-medical engineering · 2023

Measurement and Analysis of Lobar Lung Deformation After a Change of Patient Position During Video-Assisted Thoracoscopic Surgery.

Alvarez Pablo, Chabanas Matthieu, Sikora Stephane, Rouze Simon, Payan Yohan, Dillenseger Jean-Louis

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

Video-assisted thoracoscopic surgery (VATS) is a minimally invasive surgical technique for the diagnosis and treatment of early-stage lung cancer. During VATS, large lung deformation occurs as a result of a change of patient position and a pneumothorax (lung deflation), which hinders the intraoperative localization of pulmonary nodules. Modeling lung deformation during VATS for surgical navigation is desirable, but the mechanisms causing such deformation are yet not well-understood. In this study, we estimate, quantify and analyze the lung deformation occurring after a change of patient position during VATS. We used deformable image registration to estimate the lung deformation between a preoperative CT (in supine position) and an intraoperative CBCT (in lateral decubitus position) of six VATS clinical cases. We accounted for sliding motion between lobes and against the thoracic wall and obtained consistently low average target registration errors (under 1 mm). We observed large lung displacement (up to 40 mm); considerable sliding motion between lobes and against the thoracic wall (up to 30 mm); and localized volume changes indicating deformation. These findings demonstrate the complexity of the change of patient position phenomenon, which should necessarily be taken into account to model lung deformation for intraoperative guidance during VATS.

Для цитирования: Alvarez Pablo, Chabanas Matthieu, Sikora Stephane, Rouze Simon, Payan Yohan, Dillenseger Jean-Louis. Measurement and Analysis of Lobar Lung Deformation After a Change of Patient Position During Video-Assisted Thoracoscopic Surgery.. IEEE transactions on bio-medical engineering. 2023. DOI: 10.1109/tbme.2022.3205458.

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