Literature DB >> 26921886

Small pulmonary nodule localization with cone beam computed tomography during video-assisted thoracic surgery: a feasibility study.

Simon Rouzé1, Bertrand de Latour2, Erwan Flécher3, Julien Guihaire3, Miguel Castro4, Romain Corre5, Pascal Haigron4, Jean-Philippe Verhoye2.   

Abstract

OBJECTIVES: To describe a non-invasive guidance procedure, using intraoperative cone beam computed tomography (CBCT) and augmented fluoroscopy to guide lung resection during video-assisted thoracic surgery (VATS).
METHODS: Patients with solitary or multiple lung nodules between 5 and 20 mm in size were included. Under general anaesthesia, a moderate pneumothorax allowing the CBCT acquisition was first performed. Then a segmentation of the lesion was performed on a 3D reconstruction. A projection of this 3D reconstruction was then integrated into the digital workspace and automatically registered into the fluoroscopic images, creating an augmented fluoroscopy. The procedure was continued under classic video-thoracoscopic vision taking account of the augmented fluoroscopy to locate the targeted nodule.
RESULTS: Eight patients were included (mean age 61 ± 11.7 years): 7 patients had an isolated lesion and 1 patient had two lesions (mean size 13.2 ± 5.1 mm). Their mean depth to the pleura was 21.4 ± 10.7 mm. Four patients underwent a wedge resection associated with lymph node resection. Two patients had an initial wedge resection followed by a complementary lobectomy associated with lymph node resection (primary lung tumour). One patient had a wedge resection in the upper lobe and a lobectomy of the inferior lobe associated with lymph node resection. One patient underwent a conversion and a bilobectomy due to vascular injury. The mean global operating time was 100.6 ± 36.7 min. All the nodules have been identified on the CBCT acquisitions. The segmentation of the lesion has been performed in all cases. We have been able to detect all the nodules and to successfully perform the resection in all cases owing to the augmented fluoroscopy. The mean fluoroscopic time was 134.2 ± 55.0 s. The mean imaging time, between the incision and the final nodule localization, was 11.8 ± 3.8 min.
CONCLUSIONS: This paper is the first describing a clinical application of CBCT performed during thoracic surgery. Associated with augmented reality, it offers a significant progress in VATS resection of subpalpable lung nodules. This preliminary experience highlights the potential of the proposed CBCT approach to improve the perception of targeted small tumours during VATS.
© The Author 2016. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Cone beam computed tomography; Localization; Lung cancer; Thoracoscopy; Video-assisted thoracic surgery; Wedge

Mesh:

Year:  2016        PMID: 26921886     DOI: 10.1093/icvts/ivw029

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  11 in total

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2.  Planning and marking for thoracoscopic anatomical segmentectomies.

Authors:  Agathe Seguin-Givelet; Madalina Grigoroiu; Emmanuel Brian; Dominique Gossot
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

3.  Image-guided video-assisted thoracoscopic surgery for small ground glass opacities: a case series.

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4.  A hybrid, image-based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery.

Authors:  Pablo Alvarez; Simon Rouzé; Michael I Miga; Yohan Payan; Jean-Louis Dillenseger; Matthieu Chabanas
Journal:  Med Image Anal       Date:  2021-01-30       Impact factor: 13.828

Review 5.  A systematic review on the application of the hybrid operating room in surgery: experiences and challenges.

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Journal:  Updates Surg       Date:  2021-03-11

6.  Ultra-low-dose intraoperative X-ray imager for minimally invasive surgery: a pilot imaging study.

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Journal:  Transl Lung Cancer Res       Date:  2022-04

7.  A pilot study of intraoperative localization of peripheral small pulmonary tumors by cone-beam computed tomography: sandwich marking technique.

Authors:  Yuichi Saito; Tomohiro Watanabe; Yasuyuki Kanamoto; Momoko Asami; Fumi Yokote; Hitoshi Dejima; Hiroaki Morooka; Takayuki Ibi; Yoshikane Yamauchi; Nobumasa Takahashi; Tomohiko Ikeya; Yukinori Sakao; Masafumi Kawamura
Journal:  J Thorac Dis       Date:  2022-08       Impact factor: 3.005

8.  Three-dimensional computed tomography reconstruction for operative planning in robotic segmentectomy: a pilot study.

Authors:  Julien Le Moal; Christophe Peillon; Jean-Nicolas Dacher; Jean-Marc Baste
Journal:  J Thorac Dis       Date:  2018-01       Impact factor: 2.895

9.  Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies.

Authors:  Amir H Sadeghi; Alexander P W M Maat; Yannick J H J Taverne; Robin Cornelissen; Anne-Marie C Dingemans; Ad J J C Bogers; Edris A F Mahtab
Journal:  JTCVS Tech       Date:  2021-03-16

10.  Cone-Beam Computed Tomography-Derived Augmented Fluoroscopy Improves the Diagnostic Yield of Endobronchial Ultrasound-Guided Transbronchial Biopsy for Peripheral Pulmonary Lesions.

Authors:  Ching-Kai Lin; Hung-Jen Fan; Zong-Han Yao; Yen-Ting Lin; Yueh-Feng Wen; Shang-Gin Wu; Chao-Chi Ho
Journal:  Diagnostics (Basel)       Date:  2021-12-25
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