Shape-Sensing Robotic-Assisted Bronchoscopy versus Computed Tomography-Guided Transthoracic Biopsy for the Evaluation of Subsolid Pulmonary Nodules.

INTRODUCTION: Lung cancer remains the leading cause of cancer death worldwide. Subsolid nodules (SSN), including ground-glass nodules (GGNs) and part-solid nodules (PSNs), are slow-growing but have a higher risk for malignancy. Therefore, timely diagnosis is imperative. Shape-sensing robotic-assisted bronchoscopy (ssRAB) has emerged as reliable diagnostic procedure, but data on SSN and how ssRAB compares to other diagnostic interventions such as CT-guided transthoracic biopsy (CTTB) are scarce. In this study, we compared diagnostic yield of ssRAB versus CTTB for evaluating SSN. METHODS: A retrospective study of consecutive patients who underwent either ssRAB or CTTB for evaluating GGN and PSN with a solid component less than 6 mm from February 2020 to April 2023 at Mayo Clinic Florida and Rochester. Clinicodemographic information, nodule characteristics, diagnostic yield, and complications were compared between ssRAB and CTTB. RESULTS: A total of 66 nodules from 65 patients were evaluated: 37 PSN and 29 GGN. Median size of PSN solid component was 5 mm (IQR: 4.5, 6). Patients were divided into two groups: 27 in the ssRAB group and 38 in the CTTB group. Diagnostic yield was 85.7% for ssRAB and 89.5% for CTTB (p = 0.646). Sensitivity for malignancy was similar between ssRAB and CTTB (86.4% vs. 88.5%; p = 0.828), with no statistical difference. Complications were more frequent in CTTB with no significant difference (8 vs. 2; p = 0.135). CONCLUSION: Diagnostic yield for SSN was similarly high for ssRAB and CTTB, with ssRAB presenting less complications and allowing mediastinal staging within the same procedure.

Diagnostic Yield of Shape-Sensing Robotic-Assisted Bronchoscopy for Ground-Glass Nodules and Subsolid Nodules with a Solid Component Less than 6 mm.

BACKGROUND: Ground-glass pulmonary nodules (GGNs) are most commonly sampled by percutaneous transthoracic biopsy. Diagnostic yield for ground-glass nodules using robotic-assisted bronchoscopy has been scarcely described, with a reported yield of 70.6%. OBJECTIVES: The aim of this study is to assess diagnostic yield for GGNs using shape-sensing robotic-assisted bronchoscopy (ssRAB). METHOD: A retrospective study of patients who underwent ssRAB for evaluation of GGNs, from September 2021 to April 2023. Primary outcome was diagnostic yield of ssRAB for GGNs, secondary outcomes were sensitivity for malignancy, and complications that required admission or intervention. RESULTS: A total of 23 nodules were biopsied from 22 patients. Median age was 71 years (IQR 66-81), 63.6% were female, and 40.9% had a previous history of cancer. Forty-three percent of nodules were in the right upper lobes, and the median lesion size was 1.8 × 1.21. Twelve were subsolid nodules (SSNs), and 11 were pure GGNs. Overall diagnostic yield was 87%, with a sensitivity for malignancy of 88.9%. Adenocarcinoma was the most common malignancy diagnosed (70%). No procedure-related complications were reported. CONCLUSION: The use of ssRAB shows a high diagnostic yield for diagnosing GGN and SSN with less than 6 mm solid component with a low risk for complications.

Diagnostic yield and safety of diagnostic techniques for pulmonary lesions: systematic review, meta-analysis and network meta-analysis.

BACKGROUND: With recent advancements in bronchoscopic procedures, data on the best modality to sample peripheral pulmonary lesions (PPLs) is lacking, especially comparing bronchoscopy with computed tomography-guided transthoracic biopsy or needle aspiration (CT-TBNA). METHODS: We performed a meta-analysis, pairwise meta-analysis and network meta-analysis on studies reporting diagnostic yield and complications with the use of CT-TBNA, radial endobronchial ultrasound (rEBUS), virtual bronchoscopy (VB), electromagnetic navigation (EMN) or robot-assisted bronchoscopy (RAB) to sample PPLs. The primary outcome was diagnostic yield and the secondary outcome was complications. We estimated the relative risk ratios using a random-effects model and used the frequentist approach for the network meta-analysis. We performed extensive analysis to assess the heterogeneity including reporting bias, publication bias, subgroup and meta-regressional analysis. We assessed the quality of the studies using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) and QUADAS-Comparative (QUADAS-C). RESULTS: We included 363 studies. The overall pooled diagnostic yield was 78.1%, the highest with CT-TBNA (88.9%), followed by RAB (84.8%) and the least with rEBUS (72%). In the pairwise meta-analysis, only rEBUS showed inferiority to CT-TBNA. The network meta-analysis ranked CT-TBNA as likely the most effective approach followed by VB, EMN and RAB, while rEBUS was the least effective, with a low-GRADE certainty. CT-TBNA had the highest rate of complications. CONCLUSION: Although CT-TBNA is the most effective approach to sample PPLs, RAB has a comparable diagnostic yield with a lesser complication rate. Further prospective studies are needed comparing CT-TBNA and RAB.

Diagnostic Accuracy of a Computed Tomography-Guided Transthoracic Needle Biopsy for Ground-Glass Opacities and Subsolid Pulmonary Nodules.

Purpose The increasing use of computed tomography (CT) imaging has led to the detection of more ground-glass nodules (GGNs) and subsolid nodules (SSNs), which may be malignant and require a biopsy for proper diagnosis. Approximately 75% of persistent GGNs can be attributed to adenocarcinoma in situ or minimally invasive adenocarcinoma. A CT-guided biopsy has been proven to be a reliable procedure with high diagnostic performance. However, the diagnostic accuracy and safety of a CT-guided biopsy for GGNs and SSNs with solid components ≤6 mm are still uncertain. The aim of this study is to assess the diagnostic accuracy of a CT-guided core needle biopsy (CNB) for GGN and SSNs with solid components ≤6 mm. Methods This is a retrospective study of patients who underwent CT-guided CNB for the evaluation of GGNs and SSNs with solid components ≤6 mm between February 2020 and January 2023. Biopsy findings were compared to the final diagnosis determined by definite histopathologic examination and clinical course. Results A total of 22 patients were enrolled, with a median age of 74 years (IQR: 68-81). A total of 22 nodules were assessed, comprising 15 (68.2%) SSNs with a solid component measuring ≤6 mm and seven (31.8%) pure GGNs. The histopathological examination revealed that 12 (54.5%) were diagnosed as malignant, nine (40.9%) as benign, and one (4.5%) as non-diagnostic. The overall diagnostic accuracy and sensitivity for malignancy were 86.36% and 85.7%, respectively. Conclusion A CT-guided CNB for GGNs and SSNs with solid components measuring ≤6 mm appears to have a high diagnostic accuracy.

Robotic-assisted bronchoscopy: a narrative review of systems.

Background and Objective: Robotic-assisted bronchoscopy (RAB) has emerged as an advanced technology for lung cancer diagnosis. This review explores the three approved robotic bronchoscopy systems: Ion™ Endoluminal (Intuitive Surgical, Sunnyvale, CA, USA), Monarch™ (Johnson & Johnson, Redwood City, CA, USA), and Galaxy System™ (Noah Medical, San Carlos, CA, USA), and their different operational systems. This narrative review aims to summarize their findings and outcomes for sampling peripheral pulmonary lesions (PPL) suspected of lung cancer. Methods: A search in PubMed and Google Scholar databases was conducted for articles and abstracts published between January 2018 to May 2024 using the terms "robotic bronchoscopy" or "robotic-assisted bronchoscopy" for biopsy of PPL. Key Content and Findings: Lung cancer is the leading cause of cancer-related mortality. The introduction of RAB aims to improve the feasibility and safety of sampling PPL. Current literature describes high diagnostic yields with low risk of complications, allowing concurrent hilar and mediastinal staging within the same procedure. RAB can potentially improve early diagnosis and treatment of pulmonary malignancies and survival rate in long term, while progressing towards therapeutic applications in the near future. Conclusions: As RAB evolves, its potential as a "one-stop shop" for diagnosis, staging, and treatment can positively impact lung cancer detection, focusing on improved patient-centered outcomes and reducing multiple diagnostic and therapeutic procedures.

One-stop-shop: Lung cancer and pheochromocytoma diagnosed by robotic-assisted bronchoscopy and EBUS scope on a single endoscopic event.

Lung cancer is the deadliest cancer worldwide, therefore, early and prompt diagnosis is essential for better patient outcomes. It is known to have a high predilection for metastasis to the adrenal glands; however, two-thirds of adrenal masses in patients with lung cancer will turn out to be benign, so timely detection is crucial. We present a case of a lung squamous cell carcinoma diagnosed by shape-sensing robotic-assisted bronchoscopy (ssRAB), negative mediastinal and hilar staging with endobronchial ultrasound (EBUS) and transbronchial needle aspiration (TBNA), and a pheochromocytoma diagnosed through endoscopic ultrasound with bronchoscope (EUS-B) fine needle aspiration (FNA) all in the same endoscopic procedure.