{"title":"Virtual thoracoscopic imaging for accurate pulmonary nodule localization: clinical experience.","authors":"Yuka Kadomatsu, Megumi Nakao, Shoji Okado, Harushi Ueno, Taketo Kato, Shota Nakamura, Toyofumi Fengshi Chen-Yoshikawa","doi":"10.1007/s00595-024-02945-4","DOIUrl":null,"url":null,"abstract":"<p><p>The increasing detection of small pulmonary nodules on computed tomography (CT) warrants simple and effective nodule localization methods. We describe our clinical experience using an experimental computer that displays virtual thoracoscopic images. This device constructs three-dimensional images from preoperative CT scans and simulates the deflated lung parenchyma in the lateral decubitus position. Five patients underwent lung resection using this technology. The device provided images that closely resembled actual thoracoscopic images in all cases. This method addresses the limitations of other localization techniques such as allergic reactions and mechanical marker-related complications. The method only requires preoperative CT images, and the process is semi-automatically performed by specifying the nodule location, thoracoscopic camera insertion site, and camera angle. This study is still in the preliminary phase and has several limitations. However, this method has the potential to accurately predict nodule locations and eliminate the many risks associated with other techniques.</p>","PeriodicalId":22163,"journal":{"name":"Surgery Today","volume":" ","pages":"860-864"},"PeriodicalIF":1.7000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12098418/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgery Today","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00595-024-02945-4","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/16 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
The increasing detection of small pulmonary nodules on computed tomography (CT) warrants simple and effective nodule localization methods. We describe our clinical experience using an experimental computer that displays virtual thoracoscopic images. This device constructs three-dimensional images from preoperative CT scans and simulates the deflated lung parenchyma in the lateral decubitus position. Five patients underwent lung resection using this technology. The device provided images that closely resembled actual thoracoscopic images in all cases. This method addresses the limitations of other localization techniques such as allergic reactions and mechanical marker-related complications. The method only requires preoperative CT images, and the process is semi-automatically performed by specifying the nodule location, thoracoscopic camera insertion site, and camera angle. This study is still in the preliminary phase and has several limitations. However, this method has the potential to accurately predict nodule locations and eliminate the many risks associated with other techniques.
期刊介绍:
Surgery Today is the official journal of the Japan Surgical Society. The main purpose of the journal is to provide a place for the publication of high-quality papers documenting recent advances and new developments in all fields of surgery, both clinical and experimental. The journal welcomes original papers, review articles, and short communications, as well as short technical reports("How to do it").
The "How to do it" section will includes short articles on methods or techniques recommended for practical surgery. Papers submitted to the journal are reviewed by an international editorial board. Field of interest: All fields of surgery.