Evidence map›Paper›PMID 30196337›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Comparative analysis of surgical processes for image-guided endoscopic sinus surgery.

Takaaki Sugino, Ryoichi Nakamura, Akihito Kuboki, Osamu Honda, Masashi Yamamoto, Nobuyoshi Ohtori

Abstract readComparative Study
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Takaaki SuginoGraduate School of Engineering, Chiba University, Chiba, Japan.
Ryoichi NakamuraGraduate School of Engineering, Chiba University, Chiba, Japan. ryoichin@faculty.chiba-u.jp.ORCID http://orcid.org/0000-0001-5604-9805
Akihito KubokiDepartment of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.
Osamu HondaFaculty of Engineering, Chiba University, Chiba, Japan.
Masashi YamamotoGraduate School of Engineering, Chiba University, Chiba, Japan.
Nobuyoshi OhtoriDepartment of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.

Funding

Japan Science and Technology Agency JPMJPR16D9Japan Society for the Promotion of Science 15H03029Japan Society for the Promotion of Science 24103704
6 · The paper itself

Abstract

purposeThis study proposes a method to analyze surgical performance by modeling, aligning, and comparing surgical processes. This method is intended to serve as a means to support the enhancement of surgical skills for endoscopic sinus surgeries (ESSs). We focus on surgical navigation systems used in image-guided ESSs and aim to construct a comparative analysis method for surgical processes based on the information about the surgical instruments motion obtained from the navigation system.

methodsThe proposed method consists of the following three parts: quantification of surgical features, modeling of surgical processes, and alignment and comparison of surgical process models (SPMs). First, we defined time-series parameters using the navigation-based surgical data. Second, we created SPMs by applying the defined parameters and the relative positional information of the instruments to the patient's anatomy. Third, we constructed a method to align and compare SPMs based on dynamic time warping with barycenter averaging.

resultsThe proposed method was validated on a dataset containing surgical data obtained by an optical tracking system from 14 clinical ESS cases. We evaluated the validity of the comparative analysis by aligning and comparing SPMs between experts and residents. The validation results suggested that the proposed method could achieve proper alignment of the SPMs and clarify the differences in surgical processes between experts and residents.

conclusionWe developed a method to enable a time-series comparative analysis of surgical processes based on the surgical data from the navigation system. This method can allow surgeons to identify differences between their procedures and reference procedures such as experts' procedures.

Indexed as

EndoscopyHumansParanasal SinusesSurgery, Computer-AssistedEndoscopic sinus surgerySurgical navigation systemSurgical process modelingSurgical skill evaluationSurgical workflow analysis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.