Background: Lung cancer is the leading cause of cancer-related mortality in men and women throughout the world. Historically, bronchoscopy played a limited role in pulmonary nodule management due to a limited diagnostic accuracy. With the emergence of robotic bronchoscopy, proceduralists can now navigate to more peripheral lesions completely extrinsic to the airways with increased diagnostic yield. Despite the increased diagnostic yield from robotic-assisted bronchoscopy, challenges in exact localization of the lesion during a procedure can occur. This case highlights a novel use of robotic bronchoscopy combined with mobile three-dimensional (3D) imaging to optimize lesion location for biopsy previously not reported in the literature.
Case Description: We describe a case where the combination of robotic bronchoscopy with new mobile 3D imaging was essential for the accurate biopsy of an incidentally found pulmonary nodule in a 72-year-old woman. Initial navigation to the nodule using robotic bronchoscopy resulted in the catheter being inferior to the area of interest. After renavigation using the information provided by mobile 3D imaging, we were able to confirmed tool-in-lesion prior to biopsy. The patient was diagnosed with adenocarcinoma with papillary features and underwent a lobectomy with a favorable prognosis.
Conclusions: A diagnosis of adenocarcinoma was made for this patient utilizing the novel combined technique of robotic peripheral pulmonary nodule biopsy with portable 3D imaging, which may improve overall diagnostic accuracy of bronchoscopic biopsy.
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http://dx.doi.org/10.21037/acr-22-5 | DOI Listing |
BMC Med Imaging
January 2025
Department of Radiology, Huadong Hospital, Fudan University, Shanghai, 200040, China.
Background: Interstitial lung abnormalities (ILA) are a proposed imaging concept. Fibrous ILA have a higher risk of progression and death. Clinically, computed tomography (CT) examination is a frequently used and convenient method compared with pulmonary function tests.
View Article and Find Full Text PDFAm J Prev Med
January 2025
Veterans Health Administration-Tennessee Valley Healthcare System, Geriatric Research, Education and Clinical Center (GRECC) and the VETWISE-LHS Center of Innovation, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, TN; Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN.
Introduction: Lung cancer screening is underutilized, especially in rural areas where lung cancer mortality is high. Approximately 11.2% of the United States (US) population over age 50 meet the United States Preventive Services Task Force (USPSTF) 2021 lung cancer screening eligibility criteria; the proportion of eligible Veterans is unknown.
View Article and Find Full Text PDFInt J Surg
January 2025
Department of Thoracic Surgery, Shanghai General Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, PRC.
Background: The localization of pulmonary nodules is crucial for surgical intervention. However, a safe, simple, and efficient method remains elusive. This study aims to evaluate the safety and feasibility of a newly developed preoperative localization method for pulmonary nodules called Rapid Localization of Pulmonary Nodules On-Site (RLPN-OS).
View Article and Find Full Text PDFJTO Clin Res Rep
February 2025
Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Introduction: Limited information exists on next-generation sequencing (NGS) success for lung tumors of 30 mm or less. We aimed to compare NGS success rates across biopsy techniques for these tumors, assess DNA sequencing quality, and verify reliability against surgical resection results.
Methods: We used data from the Initiative for Early Lung Cancer Research on Treatment study, including patients with lung tumors measuring 30 mm or less who had surgery and NGS on biopsies since 2016.
Background: Radiomics provides quantitative features of pulmonary nodules (PNs) which could aid lung cancer diagnosis, but medical image acquisition variability is an obstacle to clinical application. Acquisition effects may differ between radiomic features from benign vs. malignant PNs.
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