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Hohenforst-Schmidt W, Xu Y, Greeven J, Langereis S, Huang H, Liu J, Yao X, Shen X, Yang Y, Wu L, Zarogoulidis P, Petousis S, Margioula-Siarkou C, Petridis D, Steinheimer M, Riedel A, Aboobaker N, Karamitrousis E, Perdikouri EI, Vagionas A, Vogl T, Sinha A. Vessel sign analysis paves the way to optimized CBCT application in interventional pulmonology: COMBINED algorithm as a one-stop-shop. J Cancer 2025; 16:2124-2144. [PMID: 40302800 PMCID: PMC12036083 DOI: 10.7150/jca.109996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Accepted: 01/21/2025] [Indexed: 05/02/2025] Open
Abstract
Introduction: We used CBCT application as one-stop-shop nodule orientated approach in regards to increase DY, reduce complication rate, reduce time on-table and economical costs with classical peripheral instruments including mini-cryoprobe (ERBE 1,1mm), rEBUS (Olympus) and standard RUFBs (Olympus Company) with at least 2mm working channel and 4,2mm outer diameter for the diagnosis of peripheral targets (iSPNs) in a prospective all-comers registry after detailed analysis of pre-interventional CT for vessel- and bronchus sign classes. Materials and Methods: From Jun 2017 until Nov 2019 in 90 all-comers patients between 16 and 95 years fit for bronchoscopy with 101 peripheral lesions in a daily routine scheme after informed consent about this prospective registry were included. For histological proven benign disease in any lesion patients had to adhere FU according radiological guidelines and further on by re-visits for at least 2 years after biopsy resulting into last visit in Feb 2022 without any drop-out. Present HRCT was mandatory to achieve one day before intervention. It had to be decided by the examiner mainly after analysis of the preset HRCT which of the 3 CBCT driven modalities were used for diagnostical approach: A) Pure endobronchial approach (CBCT, rEBUS, TBB), B) Pure transthoracical approach with a 21G core-biopsy needle (BIOPINCE needle) with CBCT only, or C) Combined approach as described below (CBCT, rEBUS, TTNA). As instruments were available common forceps and needles, EWC, curette and various RUFB (Olympus Company) mentioned in the materials section. A second CBCT was only allowed in the combined approach group to plan the 3D transthoracic approach in expiration whereas even a CBCT for tool-in-lesion control (TIL CBCT) was never allowed in all 3 groups. Results: In 100 lesions predefined modalities pure endobiopsy, pure TTNA and combined approaches were performed in 77, 9 and 14 lesions respectively without any pneumothorax or bleeding. In these 3 modalities we found confirmed (mostly specific) benign and malignant cases 47 and 30, 4 and 5, 2 and 12 respectively. Lesion sizes in the 3 different groups were (median, mean) 14 and 17,7mm (of those 41 invisible of 77 under XR (53%) in the pure endobiopsy group), 27 and 31mm (11% invisible under XR in the pure TTNA group), 18,5 and 23mm (35% invisible under XR in the combined group) respectively. In the 3 groups for the malignant cases 25 of 30, 5 of 5 and 12 of 12 were diagnosed correctly rendering a diagnostical yield of 42 in 47 malignant cases for the whole algorithm (89,4%) with sizes (mean, median) for the whole algorithm of 16 and 19,7mm respectively which is comparable to published data for robotic-assisted bronchoscopy yield. In regards to vessel sign analysis it has to be clearly stated that the significance level for outcome prediction is inferior to bronchus sign analysis. In multivariate analysis there was a clear tendency towards higher outcome prediction especially if a pulmonary artery branch leads into such target even when a bronchus sign is missing. For NY when comparing univariate analysis and partition model analysis at a set diameter of >11mm with significance (p=0,0052) the additional advantage of analysing a given vessel sign (especially pulmonary artery branches) seems to add on 19% of valuable outcome prediction. Conclusion: A nodule orientated approach in a manual CBCT-AF environment including typical instruments renders in experienced hands comparable results to robotic assisted bronchoscopy even without UTN bronchoscopes or other specialized, therefore expensive tools. In multivariate analysis only bronchus sign analysis revealed significant (p = 0,05) prediction of navigational yield outcome prediction whereas vessel sign analysis increases highly the odds ratio in favor of positive outcome prediction but without significance at the given level. In a partition model to erase outliers at a set iSPN diameter >11mm vessel sign analysis (especially pulmonary artery branches) renders a significant and ameliorated prediction of NY.
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Affiliation(s)
- Wolfgang Hohenforst-Schmidt
- Thorax Centre Südwestfalen, Märkische Kliniken, ''Lüdenscheid'' Clinics, aff. University of Bonn and Private University of Hamburg, Germany
- Sana Clinic Group Franken, Department of Cardiology / Pulmonology / Intensive Care / Nephrology, 'Hof'' Clinics, University of Erlangen, Hof, Germany
| | - Ying Xu
- Department of Respiratory and Critical Care Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Julia Greeven
- Technical Medicine, Leiden University Medical Center; Delft University of Technology; Erasmus University Medical Center Rotterdam, The Netherlands
| | - Sander Langereis
- Department of Clinical Science IGT-S, Philips Medical System, Best, The Netherlands
| | - Haidong Huang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University (Shanghai Changhai hospital), Shanghai, China
| | - Jian Liu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University (Shanghai Changhai hospital), Shanghai, China
| | - Xiaopeng Yao
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University (Shanghai Changhai hospital), Shanghai, China
| | - Xiaping Shen
- Department of Radiology, The First Affiliated Hospital of Naval Medical University (Shanghai Changhai hospital), Shanghai, China
| | - Yang Yang
- Department of Respiratory and Critical Care Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, China
| | - Liangquan Wu
- Department of Respiratory and Critical Care Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211100, China
| | - Paul Zarogoulidis
- Pulmonary Department-Oncology Unit, General Clinic Euromedica, Thessaloniki, Greece
| | - Stamatis Petousis
- Obstetric department, Hippokrateio University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Chrysoula Margioula-Siarkou
- Obstetric department, Hippokrateio University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimitris Petridis
- Department of Food Technology, Hellenic International University, Thessaloniki, Greece
| | - Michael Steinheimer
- Sana Clinic Group Franken, Department of Cardiology / Pulmonology / Intensive Care / Nephrology, 'Hof'' Clinics, University of Erlangen, Hof, Germany
| | - Andreas Riedel
- Sana Clinic Group Franken, Department of Cardiology / Pulmonology / Intensive Care / Nephrology, 'Hof'' Clinics, University of Erlangen, Hof, Germany
| | - Noufal Aboobaker
- Sana Clinic Group Franken, Department of Cardiology / Pulmonology / Intensive Care / Nephrology, 'Hof'' Clinics, University of Erlangen, Hof, Germany
| | - Evaggelos Karamitrousis
- Onocology Department, G. Papageorgiou Univerity Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | | | - Thomas Vogl
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Frankfurt, Germany
| | - Anil Sinha
- Sana Clinic Group Franken, Department of Cardiology / Pulmonology / Intensive Care / Nephrology, 'Hof'' Clinics, University of Erlangen, Hof, Germany
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Kildegaard C, Szabo G, Koukaki E, De Wever W, Grabczak EM, Juul AD. ERS Congress 2024: highlights from the Clinical Techniques, Imaging and Endoscopy Assembly. ERJ Open Res 2025; 11:01137-2024. [PMID: 40129542 PMCID: PMC11931563 DOI: 10.1183/23120541.01137-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Accepted: 01/13/2025] [Indexed: 03/26/2025] Open
Abstract
Excellent presentations at the #ERSCongress 2024 highlight the growing role of interventional pulmonology, imaging and thoracic ultrasound in the diagnosis and management of respiratory disease https://bit.ly/4km8leX.
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Affiliation(s)
- Christian Kildegaard
- Odense Respiratory Research Unit (ODIN), Clinical Faculty, University of Southern Denmark, Odense, Denmark
| | - Gergely Szabo
- Oncologic Imaging and Invasive Diagnostic Centre, National Institute of Oncology, Budapest, Hungary
- National Tumor Biology Laboratory, National Institute of Oncology, Budapest, Hungary
| | - Evangelia Koukaki
- Interventional Pulmonology Unit of the 1st Respiratory Medicine Department, National and Kapodistrian University of Athens, “Sotiria” Hospital, Athens, Greece
| | - Walter De Wever
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Elzbieta Magdalena Grabczak
- Department of Internal Medicine, Pulmonary Diseases and Allergy, Medical University of Warsaw, Warsaw, Poland
| | - Amanda Dandanell Juul
- Odense Respiratory Research Unit (ODIN), Clinical Faculty, University of Southern Denmark, Odense, Denmark
- Department of Internal Medicine, Odense University Hospital, Svendborg, Denmark
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Fernandez-Bussy S, Funes-Ferrada R, Yu Lee-Mateus A, Vaca-Cartagena BF, Barrios-Ruiz A, Valdes-Camacho S, Ibrahim MI, Patel NM, Hazelett BN, Robertson KS, Chadha RM, Abia-Trujillo D. Diagnostic performance of Shape-Sensing Robotic-Assisted bronchoscopy with mobile Cone-Beam CT for cystic and cavitary pulmonary lesions. Lung Cancer 2024; 198:108029. [PMID: 39577353 DOI: 10.1016/j.lungcan.2024.108029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 11/04/2024] [Accepted: 11/11/2024] [Indexed: 11/24/2024]
Abstract
INTRODUCTION Cystic and cavitary pulmonary lesions (PLs) frequently require histologic confirmation for an accurate diagnosis. Shape-sensing robotic-assisted bronchoscopy (ssRAB) with mobile cone beam computed tomography (mCBCT) offers a minimally invasive alternative to traditional biopsy techniques like CT-guided transthoracic biopsy. This study aimed to evaluate the diagnostic performance and safety of ssRAB in cystic and cavitary PLs. MATERIAL AND METHODS A retrospective study was conducted at Mayo Clinic Florida, of patients who underwent ssRAB with mCBCT for cavitary and cystic PLs from October 2020 to February 2024. Baseline clinical, demographic, lesion characteristics, and procedure-related data were collected. Diagnostic yield, accuracy, sensitivity for malignancy and complication rates were calculated while logistic models identified associations between variables and diagnostic yield. RESULTS 52 patients were included, 54 nodules were sampled. ssRAB provided a diagnostic yield of 83 % and a diagnostic accuracy of 83 %, with a sensitivity for malignancy of 97 % and specificity of 58 %. Pneumothorax occurred in 4 % of cases, with one requiring chest tube insertion. Nashville bleeding scale ≥ 2 occurred in 4 % of procedures. There was no significant association between lesion size, distance to chest wall, type of lesion and diagnostic yield. CONCLUSION ssRAB with mCBCT demonstrated high diagnostic yield and sensitivity for malignancy in cavitary and cystic PLs, with a low complication rate. Its ability to perform mediastinal staging in the same anesthetic event, along with its safety profile, suggests ssRAB as a valuable tool in the assessment of air-filled pulmonary lesions.
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Affiliation(s)
| | - Rodrigo Funes-Ferrada
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Alejandra Yu Lee-Mateus
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Bryan F Vaca-Cartagena
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Alanna Barrios-Ruiz
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Sofia Valdes-Camacho
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Mohamed I Ibrahim
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Neal M Patel
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Britney N Hazelett
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Kelly S Robertson
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Ryan M Chadha
- Department of Anesthesiology, Mayo Clinic Florida, Jacksonville, FL, USA
| | - David Abia-Trujillo
- Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic Florida, Jacksonville, FL, USA
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Griffiths S, Power L, Breen D. Pulmonary endoscopy - central to an interventional pulmonology program. Expert Rev Respir Med 2024; 18:843-860. [PMID: 39370862 DOI: 10.1080/17476348.2024.2413561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 09/12/2024] [Accepted: 10/03/2024] [Indexed: 10/08/2024]
Abstract
INTRODUCTION Pulmonary endoscopy occupies a central role in Interventional Pulmonology and is frequently the mainstay of diagnosis of respiratory disease, in particular lung malignancy. Older techniques such as rigid bronchoscopy maintain an important role in central airway obstruction. Renewed interest in the peripheral pulmonary nodule is driving major advances in technologies to increase the diagnostic accuracy and advance new potential endoscopic therapeutic options. AREAS COVERED This paper describes the role of pulmonary endoscopy, in particular ultrasound in the diagnosis and staging of lung malignancy. We will explore the recent expansion of ultrasound to include endoscopic ultrasound - bronchoscopy (EUS-B) and combined ultrasound (CUS) techniques. We will discuss in detail the advances in the workup of the peripheral pulmonary nodule.We performed a non-systematic, narrative review of the literature to summarize the evidence regarding the indications, diagnostic yield, and safety of current bronchoscopic sampling techniques. EXPERT OPINION EBUS/EUS-B has revolutionized the diagnosis and staging of thoracic malignancy resulting in more accurate assessment of the mediastinum compared to mediastinoscopy alone, thus reducing the rate of futile thoracotomies. Although major advances in the assessment of the peripheral pulmonary nodule have been made, the role of endoscopy in this area requires further clarification and investigation.
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Affiliation(s)
- Sally Griffiths
- Interventional Respiratory Unit, Galway University Hospitals, Galway, Ireland
| | - Lucy Power
- Interventional Respiratory Unit, Galway University Hospitals, Galway, Ireland
| | - David Breen
- Interventional Respiratory Unit, Galway University Hospitals, Galway, Ireland
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Bashour SI, Khan A, Song J, Chintalapani G, Kleinszig G, Sabath BF, Lin J, Grosu HB, Jimenez CA, Eapen GA, Ost DE, Sarkiss M, Casal RF. Improving Shape-Sensing Robotic-Assisted Bronchoscopy Outcomes with Mobile Cone-Beam Computed Tomography Guidance. Diagnostics (Basel) 2024; 14:1955. [PMID: 39272739 PMCID: PMC11394119 DOI: 10.3390/diagnostics14171955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 08/30/2024] [Accepted: 09/02/2024] [Indexed: 09/15/2024] Open
Abstract
BACKGROUND Computed tomography to body divergence (CTBD) is one of the main barriers to bronchoscopic techniques for the diagnosis of peripherally located lung nodules. Cone-beam CT (CBCT) guidance is being rapidly adopted to correct for this phenomenon and to potentially increase diagnostic outcomes. In this trial, we hypothesized that the addition of mobile CBCT (m-CBCT) could improve the rate of tool in lesion (TIL) and the diagnostic yield of shape-sensing robotic-assisted bronchoscopy (SS-RAB). METHODS This was a prospective, single-arm study, which enrolled patients with peripheral lung nodules of 1-3 cm and compared the rate of TIL and the diagnostic yield of SS-RAB alone and combined with mCBCT. RESULTS A total of 67 subjects were enrolled, the median nodule size was 1.7 cm (range, 0.9-3 cm). TIL was achieved in 23 patients (34.3%) with SS-RAB alone, and 66 patients (98.6%) with the addition of mCBCT (p < 0.0001). The diagnostic yield of SS-RAB alone was 29.9% (95% CI, 29.3-42.3%) and it was 86.6% (95% CI, 76-93.7%) with the addition of mCBCT (p < 0.0001). There were no pneumothoraxes or any bronchoscopy-related complications, and the median total dose-area product (DAP) was 50.5 Gy-cm2. CONCLUSIONS The addition of mCBCT guidance to SS-RAB allows bronchoscopists to compensate for CTBD, leading to an increase in TIL and diagnostic yield, with acceptable radiation exposure.
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Affiliation(s)
- Sami I Bashour
- Department of Pulmonary and Critical Care Medicine, Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
| | - Asad Khan
- Department of Pulmonary and Critical Care Medicine, Ochsner Health Rush, Meridian, MS 39301, USA
| | - Juhee Song
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | | | - Bruce F Sabath
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Julie Lin
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Horiana B Grosu
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Carlos A Jimenez
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Georgie A Eapen
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - David E Ost
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mona Sarkiss
- Department of Anesthesia and Peri-Operative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Roberto F Casal
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Sumner ET, Chang J, Patel PR, Bedi H, Shaller BD. State of the art: peripheral diagnostic bronchoscopy. J Thorac Dis 2024; 16:5409-5421. [PMID: 39268128 PMCID: PMC11388231 DOI: 10.21037/jtd-24-346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 06/21/2024] [Indexed: 09/15/2024]
Abstract
Lung cancer is the leading cause of cancer related death worldwide and in the United States according to the World Health Organization and National Cancer Institute. Improvements in the diagnosis and treatment of lung cancer are of the utmost importance. A prompt diagnosis is a crucial factor to improve outcomes in the treatment of lung cancer. Although the implementation of lung cancer screening guidelines and the overall steady growth in the use of computed tomography have improved the likelihood of detecting lung cancer at an earlier stage, the diagnosis of peripheral pulmonary lesions (PPLs) has remained a challenge. The bronchoscopic techniques for PPL sampling have historically offered modest diagnostic yields at best in comparison to computed tomography guided transthoracic needle aspiration (TTNA). Fortunately, recent advances in technology have ushered in a new era of diagnostic peripheral bronchoscopy. In this review, we discuss the introduction of advanced intraprocedural imaging included digital tomosynthesis (DT), augmented fluoroscopy (AF), and cone beam computed tomography. We discuss robotic assisted bronchoscopy with a review of the currently available platforms, and we discuss the implementation of novel biopsy tools. These technologic advances in the bronchoscopic approach to PPLs offer greater diagnostic certainty and pave the way toward peripheral therapeutics in bronchoscopy.
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Affiliation(s)
- Eric T Sumner
- Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jiwoon Chang
- Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Pranjal R Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Harmeet Bedi
- Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Brian D Shaller
- Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University School of Medicine, Stanford, CA, USA
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Trimble EJ, Stewart K, Reinersman JM. Early comparison robotic bronchoscopy versus electromagnetic navigational bronchoscopy for biopsy of pulmonary nodules in a thoracic surgery practice. J Robot Surg 2024; 18:149. [PMID: 38564059 DOI: 10.1007/s11701-024-01898-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 03/01/2024] [Indexed: 04/04/2024]
Abstract
Pulmonary nodules are frequently encountered in high-risk patients. Often these require biopsy which can be challenging. We relate our experience comparing use of electromagnetic navigational bronchoscopy (ENB) to a robotic bronchoscopy system (RB). A retrospective review of patients undergoing bronchoscopic biopsy from 2015 to 2021. The timeframe overlapped with transition from ENB using Veran SPiN system to RB using Ion system by Intuitive. Patient and nodule characteristics were collected. Primary end point was overall diagnostic yield which was defined by pathologic confirmation of malignancy or benign finding. Secondary outcomes included diagnostic yield based on overall size of nodules and need for further work up and testing. 116 patients underwent ENB or RB of 134 nodules. No perioperative complications occurred. Diagnostic yield of ENB was 49.5% (41/91 nodules) versus 86.1% (37/43 nodules) for RB. Average nodule size for ENB was 2.55 cm versus 1.96 cm for RB. When divided based on size, ENB had a 30% diagnostic yield for nodules 1-2 cm (11/37 nodules, mean size 1.46 cm) and 64% yield for nodules 2-3 cm (14/22 nodules, mean size 2.38 cm). RB had an 81% yield for nodules 1-2 cm (mean size 1.41 cm) and 100% yield for nodules 2-3 cm (mean 2.3 cm). RB showed superiority over ENB in early implementation trials for biopsy of suspicious pulmonary nodules. It is a safe technology allowing for increased access to all lung fields and utilization in the thoracic surgical practice will be paramount to advancing the field.
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Affiliation(s)
- Elizabeth J Trimble
- Department of Surgery, University of Oklahoma Health Sciences Center, 800 Stanton L. Young Blvd, Suite 9000, Oklahoma City, OK, 73104, USA
| | - Kenneth Stewart
- Department of Surgery, University of Oklahoma Health Sciences Center, 800 Stanton L. Young Blvd, Suite 9000, Oklahoma City, OK, 73104, USA
| | - J Matthew Reinersman
- Department of Surgery, University of Oklahoma Health Sciences Center, 800 Stanton L. Young Blvd, Suite 9000, Oklahoma City, OK, 73104, USA.
- Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
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