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AngleNav: MEMS Tracker to Facilitate CT-Guided Puncture

Overview of attention for article published in Annals of Biomedical Engineering, January 2018
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Title
AngleNav: MEMS Tracker to Facilitate CT-Guided Puncture
Published in
Annals of Biomedical Engineering, January 2018
DOI 10.1007/s10439-017-1968-4
Pubmed ID
Authors

Rui Li, Sheng Xu, William F. Pritchard, John W. Karanian, Venkatesh P. Krishnasamy, Bradford J. Wood, Zion Tsz Ho Tse

Abstract

As a low-cost needle navigation system, AngleNav may be used to improve the accuracy, speed, and ease of CT-guided needle punctures. The AngleNav hardware includes a wireless device with a microelectromechanical (MEMS) tracker that can be attached to any standard needle. The physician defines the target, desired needle path and skin entry point on a CT slice image. The accuracy of AngleNav was first tested in a 3D-printed calibration platform in a benchtop setting. An abdominal phantom study was then performed in a CT scanner to validate the accuracy of the device's angular measurement. Finally, an in vivo swine study was performed to guide the needle towards liver targets (n = 8). CT scans of the targets were used to quantify the angular errors and needle tip-to-targeting distance errors between the planned needle path and the final needle position. The MEMS tracker showed a mean angular error of 0.01° with a standard deviation (SD) of 0.62° in the benchtop setting. The abdominal phantom test showed a mean angular error of 0.87° with an SD of 1.19° and a mean tip-to-target distance error of 4.89 mm with an SD of 1.57 mm. The animal experiment resulted in a mean angular error of 6.6° with an SD of 1.9° and a mean tip-to-target distance error of 8.7 mm with an SD of 3.1 mm. These results demonstrated the feasibility of AngleNav for CT-guided interventional workflow. The angular and distance errors were reduced by 64.4 and 54.8% respectively if using AngleNav instead of freehand insertion, with a limited number of operators. AngleNav assisted the physicians to deliver accurate needle insertion during CT-guided intervention. The device could potentially reduce the learning curve for physicians to perform CT-guided needle targeting.

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Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 11%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Researcher 2 7%
Student > Postgraduate 2 7%
Other 4 14%
Unknown 12 43%
Readers by discipline Count As %
Medicine and Dentistry 7 25%
Engineering 3 11%
Psychology 1 4%
Nursing and Health Professions 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 14 50%