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Using a Motion Sensor-Equipped Smartphone to Facilitate CT-Guided Puncture

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Abstract

Purpose

To demonstrate the use of “Smart Puncture,” a smartphone application to assist conventional CT-guided puncture without CT fluoroscopy, and to describe the advantages of this application.

Materials and Methods

A puncture guideline is displayed by entering the angle into the application. Regardless of the angle at which the device is being held, the motion sensor ensures that the guideline is displayed at the appropriate angle with respect to gravity. The angle of the smartphone’s liquid crystal display (LCD) is also detected, preventing needle deflection from the CT slice image. Physicians can perform the puncture procedure by advancing the needle using the guideline while the smartphone is placed adjacent to the patient. In an experimental puncture test using a sponge as a target, the target was punctured at 30°, 50°, and 70° when the device was tilted to 0°, 15°, 30°, and 45°, respectively. The punctured target was then imaged with a CT scan, and the puncture error was measured.

Results

The mean puncture error in the plane parallel to the LCD was less than 2°, irrespective of device tilt. The mean puncture error in the sagittal plane was less than 3° with no device tilt. However, the mean puncture error tended to increase when the tilt was increased.

Conclusion

This application can transform a smartphone into a valuable tool that is capable of objectively and accurately assisting CT-guided puncture procedures.

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References

  1. Haaga JR, Alfidi RJ. Precise biopsy localization by computer tomography. Radiology. 1976;118(3):603–7.

    Article  CAS  PubMed  Google Scholar 

  2. Haaga JR, Alfidi RJ, Havrilla TR, Cooperman AM, Seidelmann FE, Reich NE, et al. CT detection and aspiration of abdominal abscesses. AJR. 1977;128(3):465–74.

    Article  CAS  PubMed  Google Scholar 

  3. Wile GE, Leyendecker JR, Krehbiel KA, Dyer RB, Zagoria RJ. CT and MR imaging after imaging-guided thermal ablation of renal neoplasms. Radiographics. 2007;27(2):325–39.

    Article  PubMed  Google Scholar 

  4. Froelich JJ, Saar B, Hoppe M, Ishaque N, Walthers EM, Regn J, et al. Real-time CT-fluoroscopy for guidance of percutaneous drainage procedures. J Vasc Interv Radiol. 1998;9(5):735–40.

    Article  CAS  PubMed  Google Scholar 

  5. Silverman SG, Tuncali K, Adams DF, Nawfel RD, Zou KH, Judy PF. CT fluoroscopy-guided abdominal interventions: techniques, results, and radiation exposure. Radiology. 1999;212(3):673–81.

    Article  CAS  PubMed  Google Scholar 

  6. Daly B, Templeton PA. Real-time CT fluoroscopy: evolution of an interventional tool. Radiology. 1999;211(2):309–15.

    Article  CAS  PubMed  Google Scholar 

  7. Mourcou Q, Fleury A, Franco C, Klopcic F, Vuillerme N. Performance evaluation of smartphone inertial sensors measurement for range of motion. Sensors (Basel). 2015;15(9):23168–87.

    Article  Google Scholar 

  8. Del Rosario MB, Wang K, Wang J, Liu Y, Brodie M, Delbaere K, et al. A comparison of activity classification in younger and older cohorts using a smartphone. Physiol Meas. 2014;35(11):2269–86.

    Article  PubMed  Google Scholar 

  9. Milani P, Coccetta CA, Rabini A, Sciarra T, Massazza G, Ferriero G. Mobile smartphone applications for body position measurement in rehabilitation: a review of goniometric tools. PM&R. 2014;6(11):1038–43.

    Article  Google Scholar 

  10. Arnolli MM, Hanumara NC, Franken M, Brouwer DM, Broeders IA. An overview of systems for CT- and MRI-guided percutaneous needle placement in the thorax and abdomen. Int J Med Robot. 2015;11(4):458–75.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to acknowledge Taisuke Hamada, MD, for his cooperation in the experimental puncture test.

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Correspondence to Masaaki Hirata.

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Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Ethical Approval

The procedure performed in this study was in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from the patient included in this study.

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Hirata, M., Watanabe, R., Koyano, Y. et al. Using a Motion Sensor-Equipped Smartphone to Facilitate CT-Guided Puncture. Cardiovasc Intervent Radiol 40, 609–615 (2017). https://doi.org/10.1007/s00270-017-1605-5

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  • DOI: https://doi.org/10.1007/s00270-017-1605-5

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