Quantitative analysis of a camera operation for endoscopic sinus surgery using a navigation information

Sugino, Takaaki; Kuboki, Akihito; Ohmura, Kazuhiro; Asaka, Daiya; Yamaguchi, Taro; Kojima, Hiromi; Ohtori, Nobuyoshi; Nakamura, Ryoichi

doi:10.5759/jscas.17.333

Cited by 1 publication

(5 citation statements)

References 13 publications

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“…As in our previous study 15) , the calculation result showed that expert surgeons tended to manipulate the endoscope more efficiently, capturing the affected area from various viewpoints. Since it may be important to reduce the motion of the tip of an endoscope while obtaining wide views in the narrow nasal cavity in order to achieve safe surgery, these calculation results likely reflect important features of endoscope manipulation.…”

Section: ．Discussionmentioning

confidence: 61%

“…In particular, in the case of ESS, in which a surgeon performs the procedure as solo . In a previous study 15) , we developed and validated a navigation procedures during all the stages in this study.…”

Section: )−15)mentioning

confidence: 99%

“…This allowed us to acquire detailed surgical data and simultaneously simplify the setting for data acquisition, because no additional measuring devices were needed for image-guided surgery. To date, we have developed methods for quantifying and evaluating surgical performance during image-guided glioma surgery 13) , laparoscopic cholecystectomy 14) , and ESS 15) by using the information recorded by the navigation system. In particular, in the case of ESS, in which a surgeon performs the procedure as solo .…”

Section: )−15)mentioning

confidence: 99%

“…On the basis of our previous study 14), 15) , 5 analytical parameters, including distribution density, velocity and acceleration of the tip of the endoscope, rotation of the rod of the endoscope, and volume of the approximate ellipsoid of the log data distribution, were adopted for multidirectional quantification of features of endoscope manipulation during ESS. The definition and equation of the analytical parameters are indicated in Table 2.…”

Section: Quantitative Analysis Of Endoscope Manipulation 221 Paramementioning

confidence: 99%

“…Additionally, in order to measure the location of the endoscope relative to the patientʼs anatomy, calibration for tracking the tip of the endoscope and registration of physical space to computed tomography （CT）image space were preoperatively performed as shown in Fig.3. For the calibration, we transformed the measuring point from the origin of a marker, namely the initial measuring point, to the tip of the endoscope, using our original calibration tool as described in our previous study 15) . For the registration, we first set characteristic points on a patientʼs face（e.…”

Section: Data Acquisitionmentioning

confidence: 99%

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Quantitative Analysis of a Camera Operation for Endoscopic Sinus Surgery Using a Navigation Information : Clinical Study

Sugino

Nakamura

Kuboki

et al. 2017

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Advanced surgeries, such as endoscopic surgery, are widely performed, but it is difficult to achieve safety in these surgical procedures. For example, in the field of otolaryngology, although endoscopic sinus surgery（ESS） is commonly performed as a treatment for chronic sinusitis, ESS requires sophisticated psychomotor skills and a knowledge of the relationship of nasal sinuses to vulnerable adjacent structures（i.e., the orbit, or the base of . Thus, an image-guided navigation system is increasingly used to enhance the safety of ESS. However, as reported in the literature 2) , complications related to ESS still occur despite the use of the navigation system. In order to enhance the safety of this surgery further, it is essential to improve surgeonsʼ levels of the relevant knowledge and skills. Therefore, methods for quantitatively measuring, analyzing, and evaluating surgical tasks or workflow are increasingly being proposed 3) . These approaches can be AbstractA high level of surgical skill is required for endoscopic sinus surgery（ESS), a procedure that involves the nasal sinus, which is adjacent to important organs, without injury. However, it is difficult to assess such surgery quantitatively in a clinical environment. Thus, we employed a surgical navigation system that is currently used in ESS, and have developed a method to assess surgical tasks by utilizing the navigation system as a recording medium. Previously, we had developed a method for analyzing the manipulation of an endoscope, which is an important aspect of ESS, using this navigation system, based on simulated surgeries. Here, we established a method for measuring and analyzing endoscope manipulation during clinical image-guided ESS. In this study, we analyzed 8 clinical cases, in which expert surgeons treated one nasal cavity, and resident surgeons treated the contralateral cavity, by ESS. In order to clarify the features of endoscopic manipulation by experts and residents in detail, we performed principal component analysis as well as time-series analysis using the analytical parameters derived from information stored on the navigation system. Our proposed method enabled quantitative evaluation of the performance of endoscopic manipulation during ESS in a clinical environment.

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Section: ．Discussionmentioning

confidence: 61%

Section: )−15)mentioning

confidence: 99%