Highlights
- First randomized trial demonstrating single-encounter AR-guided percutaneous localization as noninferior to multiple-encounter CT-guided localization for early-stage lung cancer surgery.
- AR-guided localization significantly reduces radiation exposure, patient pain, and procedural time without compromising surgical accuracy or margin adequacy.
- Adoption of AR localization streamlines workflow by consolidating localization and surgery into one anesthetic encounter, potentially decreasing pneumothorax risk associated with multiple punctures.
Background
Early detection of pulmonary nodules suspicious for lung cancer via CT imaging has heightened the demand for precise preoperative localization methods to ensure successful sublobar resections with adequate margins. Conventional CT-guided percutaneous localization often requires multiple visits: a localization procedure under local anesthesia in the CT suite, followed by transport to the operating room for resection. This workflow introduces challenges including patient discomfort, radiation exposure, potential for pneumothorax, and inefficiencies.
Given the rise of minimally invasive thoracic surgery and the importance of lung function preservation, sublobar resections (segmentectomy or wedge resection) necessitate reliable nodule localization to achieve R0 resection margins. Emerging technologies, notably augmented reality (AR), offer potential to integrate preoperative imaging with intraoperative guidance, conceivably streamlining localization.
Key Content
Chronological Development of Localization Techniques
Localization techniques for CT-detected lung nodules have evolved from hookwire placements, methylene blue dye injections, and electromagnetic navigational bronchoscopy toward more sophisticated image-guided approaches. Traditional CT-guided localization involves repeat procedures and delays between localization and resection, increasing complications. Recent years have seen growth in intraoperative techniques incorporating navigation systems and AR-enabled visualization.
Evidence from the 2026 Randomized Clinical Trial by Song et al.
A landmark multicenter randomized noninferiority trial conducted in China (N=270 analyzed) provides robust comparative evidence of single-encounter AR-guided percutaneous localization performed under general anesthesia in the OR versus standard multiple-encounter CT-guided localization under local anesthesia.
– Primary outcome: Successful sublobar resection, defined by R0 margin adequacy, occurred in 98.5% of AR-guided cases versus 99.3% in CT-guided controls (risk difference -0.8 percentage points; 95% CI, -2.7 to 3.9), meeting prespecified noninferiority criteria.
– Localization accuracy: Median localization errors were comparable (AR: 3.0 mm [IQR 0.0–5.0] vs CT: 3.0 mm [IQR 2.0–6.0]), indicating no compromise in precision.
– Radiation exposure: AR localization markedly reduced patient radiation dose (median 456.5 vs 1260.1 mGy·cm; P < .001).
– Patient-reported pain: Preoperative pain scores were significantly lower in AR group (median 0 vs 5 on numeric scale; P < .001).
– Procedural efficiency: Puncture time and localization-to-incision interval were dramatically shortened (0.63 vs 6.50 minutes; 2.0 vs 33.5 minutes respectively; P < .001).
– Complications: Pneumothorax was significantly more frequent with CT-guided localization (29.4% vs negligible in AR).
Mechanistic and Translational Insights
AR-guided localization utilizes preoperative CT data fused with intraoperative imaging, displayed through an AR headset or screen overlay, to visualize nodule location in real-time. This enables precise needle placement in a single anesthetic session, minimizing patient movement and risk. By avoiding multiple transfers and repeated punctures, AR localization reduces physiologic stress and procedural complications such as pneumothorax.
Comparative Advantages and Limitations
Advantages of AR localization include consolidation of localization and surgery, reduced radiation and pain, improved efficiency, and equivalent oncologic outcomes. However, current evidence is limited to centers with adequate AR infrastructure and operator expertise. Cost-effectiveness analyses remain to be performed. Additionally, generalizability to patients with multiple nodules or complex anatomy has not been established.
Expert Commentary
The emergence of AR-guided single-encounter localization represents a significant advance aligned with precision surgery and enhanced recovery principles in thoracic oncology. This trial affirms that AR technology can maintain surgical oncologic standards while greatly improving patient experience and procedural workflow. While device availability and training are potential hurdles, AR integration offers strong potential to redefine localization practice.
In clinical practice, AR-guided localization may be particularly suited for patients undergoing minimally invasive sublobar resections for solitary, peripheral nodules. It reduces perioperative risks associated with pneumothorax and radiation while shortening operative times. This is a timely innovation given the increasing detection of small pulmonary nodules through lung cancer screening programs.
Future directions include refinement of AR systems with artificial intelligence for automated needle path planning, integration with robotic surgical platforms, and expanded applicability to complex cases. Multicenter registries and cost-utility studies are warranted to further delineate its clinical impact and financial sustainability. Guideline committees should consider including AR localization as an alternative standard for early-stage lung cancer surgery in the near term.
Conclusion
Single-encounter AR-guided percutaneous localization for sublobar lung cancer resection is a validated, noninferior alternative to conventional multiple-encounter CT-guided localization. It offers substantial benefits in reducing radiation exposure, patient discomfort, procedural duration, and pneumothorax incidence without compromising surgical efficacy. AR technology integration paves the way toward more patient-centered, efficient, and safe thoracic surgical care, marking a new era in image-guided localization.
References
- Song Z, Wang Z, Yao H, et al. Single-Encounter Augmented Reality-Guided Localization for Resection of Suspected Early-Stage Lung Cancer: A Randomized Clinical Trial. JAMA Surg. 2026 Jul 8. PMID: 42418181
- Nomori H, Shiraishi A, Cong Y, et al. Image-guided video-assisted thoracoscopic wedge resection of small pulmonary nodules using virtual bronchoscopic navigation and nonmetallic CT markers. J Thorac Cardiovasc Surg. 2009;137(2): 329-333.
- Chen Y, Song Q, Zhang Y, et al. Comparison of efficacy and safety between CT-guided percutaneous localization and electromagnetic navigation bronchoscopy for pulmonary nodule resection: a systematic review and meta-analysis. Surg Endosc. 2023;37(11):8331-8342.
- Jiang L, Su H, Fan F, et al. Advances in augmented reality assisted thoracic surgery and future perspectives. Thorac Cancer. 2024;15(6):648-655.
- National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology: Non-Small Cell Lung Cancer. Version 8.2025. https://www.nccn.org
