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Peripheral Lung Cancer Detection by Vascular Tumor Labeling Using In-Vivo Microendoscopy under Real Time 3D CT Image Guided Intervention

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Medical Imaging and Augmented Reality (MIAR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6326))

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Abstract

We designed and evaluated a real time 3D CT Image Guided Intervention system that integrates in-vivo microendoscopic imaging for on-the-spot visualization of ICG contrast uptake by tumor vessel in peripheral lung tumors. The performance of the system was evaluated in seven rabbits where VX2 cells were implanted in the chest to create peripheral lung tumors. Two weeks later the animal underwent a chest CT scan which was used for creating a real time 3D vision and navigation tracking. ICG was injected fifteen minutes prior to the needle puncture to allow adequate contrast leakage inside the tumor and plasma clearance. After the needle puncture, the microendoscope was introduced inside the tumor for imaging. Visualization of tumor leaky vasculature was possible in all the tumors. The experiment demonstrated that real-time microendoscopy of deep solid organs under a 3D CT image-guided system is possible while providing enough accuracy in reaching tumors without complications.

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Authors and Affiliations

  1. The Center for Bioengineering and Informatics, Department of Radiology, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, TX

    Miguel Valdivia y Alvarado, Tian Cheng He, Zhong Xue, Stephen Wong & Kelvin Wong

Authors
  1. Miguel Valdivia y Alvarado
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  2. Tian Cheng He
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  3. Zhong Xue
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  4. Stephen Wong
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  5. Kelvin Wong
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Editor information

Editors and Affiliations

  1. Department of Bioengineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo, 113-8656, Tokyo, Japan

    Hongen Liao

  2. Department of Surgery and Cancer, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK

    P. J. "Eddie" Edwards

  3. Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, 60637, Chicago, IL, USA

    Xiaochuan Pan

  4. Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, 100080, Beijing, China

    Yong Fan

  5. Institute of Biomedical Engineering, Imperial College London, 180 Queens Gate, SW7 2BZ, London, UK

    Guang-Zhong Yang

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© 2010 Springer-Verlag Berlin Heidelberg

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Valdivia y Alvarado, M., Cheng He, T., Xue, Z., Wong, S., Wong, K. (2010). Peripheral Lung Cancer Detection by Vascular Tumor Labeling Using In-Vivo Microendoscopy under Real Time 3D CT Image Guided Intervention . In: Liao, H., Edwards, P.J."., Pan, X., Fan, Y., Yang, GZ. (eds) Medical Imaging and Augmented Reality. MIAR 2010. Lecture Notes in Computer Science, vol 6326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15699-1_52

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  • DOI: https://doi.org/10.1007/978-3-642-15699-1_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15698-4

  • Online ISBN: 978-3-642-15699-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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