Dataset Information

Augmented reality navigation-guided pulmonary nodule localization in a canine model.

ABSTRACT:

Background

The current intraoperative pulmonary nodule localization techniques require specific medical equipment or skillful operators, which limits their widespread application. Here, we present an innovative nodule localization technique in a canine lung model using augmented reality (AR) navigation.

Methods

Peripheral pulmonary lesions were artificially created in canine model. A preoperative chest computed tomography scan was performed for each animal. The acquired computed tomography images were analyzed, and an established intraoperative localization plan was uploaded into HoloLens (a head-mounted AR device). Under general anesthesia, lung localization markers were implanted in each canine, guided by the established procedure plan displayed by HoloLens. All artificial lesions and markers were removed by video-assisted wedge resection or lobectomy in a single operation.

Results

Since June 2019, 12 peripheral pulmonary lesions were artificially created in 4 canine models. All lung localization markers were precisely implanted with a median registration and implantation time of 6 minutes (range, 2-15 minutes). The average distance between pulmonary lesions and markers was 1.9±1.7 mm, based on computed tomography examination after localization. No severe pneumothorax was observed after marker implantation. After an average implantation period of 16.5 days, no marker displacement was observed.

Conclusions

The AR navigation-guided pulmonary nodule localization technique was safe and effective in a canine model. The validity and feasibility of using this technology in patients will be examined further (NCT04211051).

SUBMITTER: Li C

PROVIDER: S-EPMC8674612 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Publications

Augmented reality navigation-guided pulmonary nodule localization in a canine model.

Li Chengqiang C Zheng Yuyan Y Yuan Ye Y Li Hecheng H

Translational lung cancer research 20211101 11

<h4>Background</h4>The current intraoperative pulmonary nodule localization techniques require specific medical equipment or skillful operators, which limits their widespread application. Here, we present an innovative nodule localization technique in a canine lung model using augmented reality (AR) navigation.<h4>Methods</h4>Peripheral pulmonary lesions were artificially created in canine model. A preoperative chest computed tomography scan was performed for each animal. The acquired computed t ...[more]

PMID: 35004246

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Project description:BackgroundAugmented reality navigation system for percutaneous computed tomography (CT)-guided pulmonary biopsies has recently been introduced. There are no studies in literature about its use for ground glass lesions biopsies. The aim of this study is to evaluate the effectiveness of an augmented reality infrared navigation system performance on CT-guided percutaneous lung ground glass opacity (GGO) biopsy compared to a standard CT-guided technique.MethodsA total of 80 patients with lung GGO who underwent to a percutaneous CT-guided lung biopsy with an augmented reality infrared navigation system were retrospectively enrolled in the study. Comparison was performed with a group of 80 patients who underwent to lung biopsy with the standard CT-guided technique. Evaluation of maximum lesion diameter (MLD), distance between lesion and pleural surface (DPS), distance travelled by the needle (DTP), procedural time, validity of histological sample, procedural complications and the radiation dose to the patient's chest were recorded for each patient of both groups. In addition, each group was divided into two subgroups based on lesion size, according to a cut-off of 1.5 cm (<1.5 cm; ≥1.5 cm).ResultsAugmented reality navigation system showed a significant reduction in procedural time, radiation dose administrated to patients and complications rate compared to a standard CT-guided technique. Technical success was achieved in the 100% of cases in both groups, but the diagnostical success was higher in the group where patients underwent to lung biopsies with the use of navigation system. We also found that using an augmented reality navigation system increases the diagnostical success rate for lesion <1.5 cm. MLD, DPS and DTP did not differ significantly between the two groups of patients.ConclusionsThe use of an augmented reality navigation system for percutaneous CT-guided pulmonary GGO biopsies has demonstrated a lower incidence of post-procedural complications, a significantly reduction of the radiation dose administered to patients and a higher diagnostical success rate.

Dataset Information

Augmented reality navigation-guided pulmonary nodule localization in a canine model.

Background

Methods

Results

Conclusions

Publications

Augmented reality navigation-guided pulmonary nodule localization in a canine model.

Similar Datasets

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