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ColNav: Real-Time Colon Navigation for Colonoscopy

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Cancer Prevention Through Early Detection (CaPTion 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14295))

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Abstract

Colorectal cancer screening through colonoscopy continues to be the dominant global standard, as it allows identifying pre-cancerous or adenomatous lesions and provides the ability to remove them during the procedure itself. Nevertheless, failure by the endoscopist to identify such lesions increases the likelihood of lesion progression to subsequent colorectal cancer. Ultimately, colonoscopy remains operator-dependent, and the wide range of quality in colonoscopy examinations among endoscopists is influenced by variations in their technique, training, and diligence. This paper presents a novel real-time navigation guidance system for Optical Colonoscopy (OC). Our proposed system employs a real-time approach that displays both an unfolded representation of the colon and a local indicator directing to un-inspected areas. These visualizations are presented to the physician during the procedure, providing actionable and comprehensible guidance to un-surveyed areas in real-time, while seamlessly integrating into the physician’s workflow. Through coverage experimental evaluation, we demonstrated that our system resulted in a higher polyp recall (PR) and high inter-rater reliability with physicians for coverage prediction. These results suggest that our real-time navigation guidance system has the potential to improve the quality and effectiveness of OC and ultimately benefit patient outcomes.

N. Frank and E. Posner—These authors contributed equally to this work.

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References

  1. Armin, M.A., Barnes, N., Grimpen, F., Salvado, O.: Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface. Healthc. Technol. Lett. 6, 187–190 (2019)

    Article  Google Scholar 

  2. Armin, M.A., Chetty, G., de Visser, H., Dumas, C., Grimpen, F., Salvado, O.: Automated visibility map of the internal colon surface from colonoscopy video. Int. J. Comput. Assist. Radiol. Surg. 11, 1599–1610 (2016)

    Article  Google Scholar 

  3. Armin, M.A., et al.: Visibility map: a new method in evaluation quality of optical colonoscopy. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9349, pp. 396–404. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24553-9_49

    Chapter  Google Scholar 

  4. Blau, Y., Freedman, D., Dashinsky, V., Goldenberg, R., Rivlin, E.: Unsupervised 3d shape coverage estimation with applications to colonoscopy. In: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pp. 3364–3374 (2021)

    Google Scholar 

  5. International Agency for Research on Cancer: Globocan 2020: Cancer fact sheets-colorectal cancer. https://gco.iarc.fr/today/data/factsheets/cancers/10_8_9-Colorectum-fact-sheet.pdf

  6. Dierckx, P.: Algorithms for smoothing data with periodic and parametric splines. Comput. Graph. Image Process. 20(2), 171–184 (1982)

    Article  MATH  Google Scholar 

  7. Engel, J., Koltun, V., Cremers, D.: Direct sparse odometry. IEEE Trans. Pattern Anal. Mach. Intell. 40, 611–625 (2018)

    Article  Google Scholar 

  8. Freedman, D., et al.: Detecting deficient coverage in colonoscopies. IEEE Trans. Med. Imaging 39(11), 3451–3462 (2020)

    Article  Google Scholar 

  9. Haker, S., Angenent, S.B., Tannenbaum, A.R., Kikinis, R.: Nondistorting flattening maps and the 3-d visualization of colon ct images. IEEE Trans. Med. Imaging 19, 665–670 (2000)

    Article  Google Scholar 

  10. Liang, Z., Richards, R.: Virtual colonoscopy vs optical colonoscopy. Expert Opin. Med. Diagn. 4(2), 159–169 (2010). 20473367[pmid]

    Google Scholar 

  11. Ma, R., et al.: Rnnslam: reconstructing the 3d colon to visualize missing regions during a colonoscopy. Med. Image Anal. 72, 102100 (2021)

    Article  Google Scholar 

  12. McHugh, M.: Interrater reliability: the kappa statistic. Biochemia medica: asopis Hrvatskoga društva medicinskih biokemčara/HDMB 22, 276–282 (2012)

    Google Scholar 

  13. Mirzaei, H., Panahi, M., Etemad, K., GHanbari-Motlagh, A., Holakouie-Naini, K.A.: Evaluation of pilot colorectal cancer screening programs in Iran. Iran. J. Epidemiol. 12(3), 21–28 (2016)

    Google Scholar 

  14. Mohaghegh, P., Ahmadi, F., Shiravandi, M., Nazari, J.: Participation rate, risk factors, and incidence of colorectal cancer in the screening program among the population covered by the health centers in arak, iran. Int. J. Cancer Manag. 14(7), e113278 (2021)

    Article  Google Scholar 

  15. Moshfeghi, K., Mohammadbeigi, A., Hamedi-Sanani, D., Bahrami, M.: Evaluation the role of nutritional and individual factors in colorectal cancer. Zahedan J. Res. Med. Sci. 13(4), e93934 (2011)

    Google Scholar 

  16. Pore, A., et al.: Colonoscopy navigation using end-to-end deep visuomotor control: a user study. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9582–9588 (2022)

    Google Scholar 

  17. Posner, E., Zholkover, A., Frank, N., Bouhnik, M.: C\(^3\)fusion: consistent contrastive colon fusion, towards deep slam in colonoscopy. arXiv:2206.01961 (2022)

  18. Smith, K., et al.: Data from ct colonography. Cancer Imaging Arch. (2015)

    Google Scholar 

  19. Sudarsky, S., Geiger, B., Chefd’hotel, C., Guendel, L.: Colon unfolding via skeletal subspace deformation. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008. LNCS, vol. 5242, pp. 205–212. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85990-1_25

    Chapter  Google Scholar 

  20. Vilanova Bartroli, A., Wegenkittl, R., Konig, A., Groller, E.: Nonlinear virtual colon unfolding. In: Proceedings Visualization, VIS 2001, pp. 411–579 (2001). https://doi.org/10.1109/VISUAL.2001.964540

  21. Wan, M., Liang, Z., Ke, Q., Hong, L., Bitter, I., Kaufman, A.: Automatic centerline extraction for virtual colonoscopy. IEEE Trans. Med. Imaging 21(12), 1450–1460 (2002)

    Article  Google Scholar 

  22. Wang, G., McFarland, G., Brown, B., Vannier, M.: Gi tract unraveling with curved cross sections. IEEE Trans. Med. Imaging 17(2), 318–322 (1998)

    Article  Google Scholar 

  23. Yao, H., Stidham, R.W., Soroushmehr, R., Gryak, J., Najarian, K.: Automated detection of non-informative frames for colonoscopy through a combination of deep learning and feature extraction. In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2402–2406 (2019)

    Google Scholar 

  24. Zhou, J., et al.: A novel artificial intelligence system for the assessment of bowel preparation (with video). Gastrointest. Endosc. 91(2), 428-435.e2 (2020)

    Article  Google Scholar 

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Authors and Affiliations

  1. Intuitive Surgical, Inc., 1020 Kifer Road, Sunnyvale, CA, USA

    Netanel Frank, Erez Posner, Emmanuelle Muhlethaler, Adi Zholkover & Moshe Bouhnik

Authors
  1. Netanel Frank
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  2. Erez Posner
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  3. Emmanuelle Muhlethaler
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  4. Adi Zholkover
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  5. Moshe Bouhnik
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Corresponding author

Correspondence to Netanel Frank .

Editor information

Editors and Affiliations

  1. University of Leeds, Leeds, UK

    Sharib Ali

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Fons van der Sommen

  3. Eindhoven University of Technology, Eindhoven, The Netherlands

    Maureen van Eijnatten

  4. University of Oxford, Oxford, UK

    Bartłomiej W. Papież

  5. National University of Singapore, Singapore, Singapore

    Yueming Jin

  6. Eindhoven University of Technology, Eindhoven, The Netherlands

    Iris Kolenbrander

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Frank, N., Posner, E., Muhlethaler, E., Zholkover, A., Bouhnik, M. (2023). ColNav: Real-Time Colon Navigation for Colonoscopy. In: Ali, S., van der Sommen, F., van Eijnatten, M., Papież, B.W., Jin, Y., Kolenbrander, I. (eds) Cancer Prevention Through Early Detection. CaPTion 2023. Lecture Notes in Computer Science, vol 14295. Springer, Cham. https://doi.org/10.1007/978-3-031-45350-2_10

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  • DOI: https://doi.org/10.1007/978-3-031-45350-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-45349-6

  • Online ISBN: 978-3-031-45350-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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