ABSTRACT
Background
Mediastinal staging is crucial in patients undergoing lung resection for cancer to plan further adjuvant. Current guidelines recommend resecting at least three mediastinal lymph node stations, including Group7. Herein, we evaluated the role of intraoperative Contrast‐enhanced ultrasound (CEUS) to guide lymph node resection in patients undergoing RATS lobectomy for management of non‐small cell lung cancer.
Methods
It was a retrospective study including 24 consecutive patients underwent RATS lobectomy for management lung cancer. The hilar and mediastinal lymph node was firstly evaluated with a CEUS and then resected. A bolus of 2.4 mL SonoVue was injected into the antecubital vein and the perfusion was scanned continuously for at least 3 min. The dynamic image obtained was used to evaluate the mediastinal and hilar lymph nodal and guide the dissection. A radical lymph‐adenectomy was performed in all cases independently from the CEUS results.
Results
We evaluated 144 lymph nodes with a CEUS during RATS lobectomy. Histological examination of the lymph nodes showed five lymph nodes metastatic (3.5%); of which 3 (60%) metastatic N1 lymph nodes; 2 (40%) metastatic N2 lymph nodes. Intraoperative CEUS of hilar and mediastinal lymph nodes showed: sensitivity 83%; specificity 98%; PPV, 77%; PNV, 99% and accuracy 94%.
Conclusion
Our preliminary results seem to confirm the value of intraoperative CEUS to assess lymph node resection during RATS lobectomy. It may help the lymph node dissection and reduce the risk of intraoperative injury. Future study should confirm our preliminary results and confirm the value of intraoperative CEUS.
Keywords: CEUS: contrast‐enhanced ultrasound, lobectomy, lymph node, RATS: robotic‐assisted thoracic surgery
Graphical abstract representing the main the study.

1. Introduction
Robotic‐assisted thoracic surgery (RATS) is now widley adopted worldwide as a surgical option for patients with non‐small cell lung cancer (NSCLC) [1, 2, 3, 4, 5]. Accurate mediastinal lymph node staging in patients undergoing pulmonary resection is essential for planning adjuvant therapy. Systematic lymph node dissection (SND) entails the removal of intrapulmonary, hilar, and mediastinal nodes according to well‐defined anatomical landmarks. In contrast, lobe‐specific lymph node dissection targets mediastinal nodes based on the site of the primary lesion. The status of N2 nodes plays a decisive role not only in shaping treatment strategies but also in influencing overall prognosis. Although radical lymphadenectomy is generally recommended, it carries the risk of postoperative complications. For this reason, current guidelines advise the removal of at least three mediastinal lymph node stations, including station 7. This underscores the need for intraoperative tools capable of guiding the surgeon in performing accurate lymph node dissection during lung resections [6, 7, 8, 9]. The present study investigates the potential role of intraoperative contrast‐enhanced ultrasound (Io‐CEUS) in lymph node dissection during robotic lobectomy for NSCLC [10, 11, 12, 13, 14].
2. Materials and Methods
This study included patients with NSCLC who underwent lobectomy with lymphadenectomy using RATS combined with intraoperative CEUS at the Thoracic Surgery Unit of the University of Campania “Luigi Vanvitelli” between January 2024 and March 2025. All patients provided informed consent after a preoperative explanation of the procedure, and the study received approval from the institutional ethics committee. Surgery was carried out under general anesthesia with single‐lung ventilation, with patients placed in the lateral decubitus position. Pleural cavity expansion was achieved using CO2 insufflation (5–8 mmHg). The Da Vinci XI robotic platform was positioned posterior to the patient, with four trocars inserted between the 7th and 8th intercostal spaces. The ultrasound system was connected to the robotic console through a DVI cable, with access authorized by the operating surgeon. A linear L51K probe (2–12 MHz), compatible with the Da Vinci system, was used. The 26 mm probe, introduced by the assistant through a thoracostomy port, had a flat tip to ensure full contact with mediastinal structures at any angle, allowing wide freedom of maneuver [8, 15, 16, 17, 18]. Sterile saline was applied to reduce acoustic impedance, enabling high‐resolution imaging (Figure 1). Insonation sites varied depending on the side of the chest: Left side: bordered anteriorly by the phrenic nerve, posteriorly by the vagus nerve, superiorly by the aortic arch, and caudally by the left main bronchus. Right side: bordered superiorly by the innominate artery, anteriorly by the superior vena cava, posteriorly by the trachea, and inferiorly by the right upper lobe [19, 20, 21, 22, 23]. Suspicious intrapulmonary, hilar, and mediastinal nodes were assessed with CEUS (Figure 2). Contrast consisted of 2.4–5 mL of sulfur hexafluoride microbubbles (SonoVue) administered via central venous catheter, followed by a 10–20 mL saline flush. SonoVue microbubbles, coated with phospholipids, undergo shape and size variations as they circulate through the microvasculature. Node perfusion was observed in real time for the first 60 s and then re‐evaluated at 120, 180, 240, and 300 s (Figure 3). Two imaging phases were defined: early phase (0–120 s): assessment of filling times, enhancement pattern (heterogeneous, punctate, annular, patchy), and detection of non‐enhanced areas or artifacts and the late phase (> 120 s), for the evaluation of contrast washout and its duration. Key findings such as perfusion defects and interruption of the contrast “ring” were considered significant for identifying metastatic nodes. This dynamic imaging allowed real‐time selection of suspicious mediastinal and hilar nodes, followed by guided resection. Nonetheless, radical lymphadenectomy was systematically performed in all patients regardless of CEUS results [24, 25, 26, 27, 28]. Excised nodes considered malignant by B‐mode or CEUS were marked with Vicryl sutures and sent for histopathological confirmation (Figure 4). A chest X‐ray was obtained on postoperative day one and again before chest tube removal. The first multidisciplinary follow‐up visit, involving thoracic surgeons and oncologists, was scheduled 1 month after surgery [10, 29, 30, 31, 32, 33].
FIGURE 1.

The 26 mm probe, introduced by the assistant through a thoracostomy port, had a flat tip to ensure full contact with mediastinal structures at any angle, allowing wide freedom of maneuver.
FIGURE 2.

Suspicious intrapulmonary, hilar, and mediastinal nodes were assessed with CEUS.
FIGURE 3.

Sonovue perfusion was observed in real time.
FIGURE 4.

This dynamic imaging allowed real‐time selection of suspicious mediastinal and hilar nodes, followed by guided resection.
2.1. Statistical Analysis
We evaluated 144 lymph nodes with a CEUS during RATS lobectomy. Histological examination of the lymph nodes showed five lymph nodes metastatic (3.5%); of which three (60%) metastatic N1 lymph nodes; two (40%) metastatic N2 lymph nodes. Intraoperative CEUS of hilar and mediastinal lymph nodes showed: sensitivity, 83%; specificity, 98%; PPV, 77%; PNV, 99%, and accuracy, 94% (Figure 5).
FIGURE 5.

Statistical analysis.
3. Results
This retrospective study included 24 consecutive patients who underwent robotic‐assisted lobectomy for NSCLC at the Thoracic Surgery Unit of the University of Campania “Luigi Vanvitelli.” Preoperative assessment included whole‐body CT scan, FDG‐PET, blood chemistry, chest imaging, ECG, and pulmonary function tests. Patients with T1–3, N0, M0 disease were enrolled. The exclusion criteria related to the use of CEUS were hypersensitivity to sulfur while those related to surgery were severe pulmonary hypertension, respiratory failure, ischemic heart disease, and pregnancy. None of the 24 patients who underwent CEUS had received neoadjuvant therapy. All patients received intraoperative CEUS for mediastinal lymph node assessment. The mean patient age was 65 years (range …). Tumor location was as follows: right upper lobe (eight patients, 33.3%), left lower lobe (five patients 20.83%), left upper lobe (four patients, 16.7%), right lower lobe (five patients, 20.83%), and middle lobe (two patients, 8.33%). Histological types included 13 adenocarcinomas, six squamous cell carcinomas, and five adenosquamous carcinomas. Surgical procedures consisted of eight right upper lobectomies, five right lower lobectomies, five left lower lobectomies, four left upper lobectomies, and two middle lobectomies. Intraoperative B‐mode ultrasound findings included: microcalcifications (13 patients, 54.17%), hyperechogenicity (16 paiets, 66.7%), cystic areas (11 patients, 45.83%), absence of a visible hilum (24 patients, 100%), and peripheral vascularization (21 patients, 87,5%). CEUS analysis showed heterogeneous enhancement (punctate, patchy, or annular) within the first 10–15 s in 22 patients; absence of a linear hyperechogenic vascular image in 23 patients; and early washout (< 120 s) in all 24 patients. A total of 144 lymph nodes were evaluated with CEUS. Pathological examination confirmed 5 metastatic nodes (3.5%): three were N1 nodes (60%) and two were N2 nodes (40%). CEUS demonstrated a sensitivity of 83%, specificity of 98%, a positive predictive value of 77%, negative predictive value of 99%, and an overall accuracy of 94%. The five metastatic lymph nodes confirmed by histology corresponded to the lymph nodes considered malignant by intraoperative CEUS. The performance of CEUS was not affected by the location of the different lymph node stations. Minor postoperative complications related to lymphadenectomy were lymphorrhea and minor bleeding while other complications not directly related to lymphadenectomy included persistent air leakage (> 5 days) found in 6 patients. Postoperative pain management included locoregional nerve blocks, and all patients were treated following an Enhanced Recovery After Surgery (ERAS) protocol. Nineteen patients were correctly staged using CEUS. Follow‐up visits were scheduled every 3 months for 3 years, then every 6 months for two additional years (Table 1).
TABLE 1.
Patient characteristics.
| Category | Subgroup | N | % |
|---|---|---|---|
| Age | Mean | 65 years | — |
| Pulmonary nodule location | RUL (right upper lobe) | 8 | 33.33 |
|
LLL (left lower lobe) LUL (left upper lobe) RLL (right lower lobe) ML (middle lobe) |
5 4 5 2 |
20.83 16.67 20.83 8.33 |
|
| Histology | Squamous cell carcinoma | 6 | 25 |
|
Adenocarcinoma Adenosquamous carcinoma |
13 5 |
54.17 20.83 |
|
| Surgical resections | RLL lobectomy (right lower) | 5 | 20.83 |
|
RUL lobectomy (right upper) LLL lobectomy (left lower) LUL lobectomy (left upper) ML lobectomy (middle) |
8 5 4 2 |
33.33 20.83 16.67 8.33 |
|
| Intraoperative US of lymph nodes |
Microcalcifications Hyperechogenicity Cystic areas Absence of hilum Peripheral vascularization |
13 16 11 24 21 |
54.17 66.67 45.83 100 87.5 |
| Intraoperative CEUS of lymph nodes |
Heterogeneous enhancement (spots, punctate, ring‐shaped, 10–15 s) Absence of linear hyperechoic image (pulmonary artery enhancement) Rapid washout (< 120 s) |
22 23 24 |
91.67 95.83 100 |
| Lymph node data |
Total metastatic lymph nodes N1 metastatic N2 metastatic |
144 5 3 2 |
4.38 60 (of metastatic) 40 (of metastatic) |
4. Discussion
Robotic surgery is experiencing rapid worldwide adoption. Current evidence suggests that robotic‐assisted thoracoscopic surgery provides outcomes comparable in safety and efficacy to video‐assisted thoracoscopic surgery (VATS) [30, 34, 35]. However, the oncological completeness of mediastinal lymph node dissection performed with RATS remains debated. Some studies argue that RATS is not superior to VATS in terms of nodal yield or upstaging, while others report that robotic procedures may enable more extensive lymph node dissection and higher rates of nodal upstaging. The European Society of Thoracic Surgery (ESTS) advocates radical lymphadenectomy, including systematic dissection of stations 2R/L, 4R/L, 10R/L, and 7, and extending to Stations 5, 6, 8, and 9 [36, 37]. Other studies, particularly from East Asia, support lobe‐specific lymphadenectomy in selected cases (e.g., cT1N0 NSCLC), finding no significant differences in postoperative complications or survival compared with systematic dissection [23, 38, 39]. The Japanese Clinical Oncology Group (JCOG) has further demonstrated that systematic lymphadenectomy carries a higher risk of complications compared to lobe‐specific approaches. Various techniques have been tested to improve intraoperative nodal mapping, including technetium‐99 m injection, blue dye, and Doppler ultrasound, but none has achieved widespread acceptance due to limitations in accuracy or visualization. In this context, CEUS offers unique advantages: it can detect microvessels smaller than 100 μm, provides real‐time information on nodal perfusion, and does not expose patients to radiation. In our series, two CEUS signs—perfusion defects and interruption of the peripheral contrast ring—proved highly suggestive of metastatic involvement. These findings are consistent with tumor‐driven angiogenesis, characterized by irregular vascular networks and arteriovenous shunts. CEUS also benefits from being minimally invasive, repeatable, and relatively low‐cost compared with other imaging techniques [40, 41, 42, 43]. Importantly, integration with robotic technology enhances CEUS performance: the robotic arm offers greater maneuverability of the ultrasound probe, precise angulation, and superior visualization of mediastinal anatomy. This combination facilitates accurate identification of metastatic nodes with minimal impact on operative time, while maintaining safety and reproducibility. The main limitation of CEUS remains the lack of panoramic imaging and the need for operator expertise in intra‐thoracic ultrasound [44, 45, 46, 47, 48].
5. Conclusions
RATS is an evolving surgical platform, and its integration with CEUS has the potential to significantly enhance the precision and effectiveness of mediastinal lymph node dissection. The real‐time vascular characterization provided by CEUS, combined with the superior dexterity and visualization of robotic systems, allows for more reliable identification and targeted resection of suspicious nodes. This combined approach demonstrates high safety, reproducibility, and diagnostic accuracy, and could become the preferred strategy for mediastinal lymphadenectomy in appropriately selected NSCLC patients. While systematic lymph node dissection remains the standard for early‐stage NSCLC, CEUS‐guided nodal assessment during RATS may open the way to more tailored surgical strategies—particularly in elderly or comorbid patients where segmentectomy and lobe‐specific lymphadenectomy could represent safer alternatives.
Further multicenter clinical trials will be necessary to validate these findings and to better define the role of CEUS in intraoperative staging of NSCLC.
Author Contributions
Messina Gaetana: conceptualization, writing – review and editing, writing – original draft. Giuseppe Vicario: methodology. Davide Gerardo Pica: methodology. Rosa Mirra: software. Vincenzo di Filippo: data curation, investigation. Martina Robustelli: data curation, validation. Sara Di Lorenzo: methodology, investigation. Morena Fasano: conceptualization, writing – review and editing, writing – original draft. Beatrice Leonardi: investigation. Alessia Angela Guarino: data curation. Riccardo Vinciguerra: methodology. Francesca Capasso: investigation. Anna D'Agostino: software. Alfonso Fiorelli: supervision. Ciro Balbo: methodology, investigation. Fortunato Ciardiello: supervision. Antonio D'Andrilli: supervision. Mariellina Laudato: investigation, methodology. Giovanni Vicidomini: supervision.
Funding
This work was supported by University of Campania “L. Vanvitelli”.
Ethics Statement
The authors are accounle for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was led in compliance with the principles of the Declaration of Helsinki; written informed consent was obtained from all participants during preoperative communication and the protocol was approved by the Ethics Committee of the University of ‘Luigi Vanvitelli’ of Naples (18 296/2025).
Conflicts of Interest
The authors declare no conflicts of interest.
Acknowledgments
The authors have nothing to report.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
- 1. Ricardo Terra R. M., Araujo P. H., Lauricella L. L., Campos J. R., Costa H. F., and Pego‐Fernandes P. M., “Robotic Pulmonary Lobectomy for Lung Cancer Treatment: Program Implementation and Initial Experience,” Jornal Brasileiro de Pneumologia 42, no. 3 (2016): 185–190, 10.1590/S1806-37562015000000212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Park B. J., Melfi F., Mussi A., et al., “Robotic Lobectomy for Non‐Small Cell Lung Cancer (NSCLC): Long‐Term Oncologic Results,” Journal of Thoracic and Cardiovascular Surgery 143, no. 2 (2012): 383–389, 10.1016/j.jtcvs.2011.10.055. [DOI] [PubMed] [Google Scholar]
- 3. Gallina F. T., Tajè R., Forcella D., et al., “Oncological Outcomes of Robotic Lobectomy and Radical Lymphadenectomy for Early‐Stage Non‐Small Cell Lung Cancer,” Journal of Clinical Medicine 11, no. 8 (2022): 2173, 10.3390/jcm11082173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Keller S. M., Adak S., Wagner H., and Johnson D. H., “Mediastinal Lymph Node Dissection Improves Survival in Patients With Stages II and IIIa Non‐Small Cell Lung Cancer. Eastern Cooperative Oncology Group,” Annals of Thoracic Surgery 70, no. 2 (2000): 358–366, 10.1016/s0003-4975(00)01673-8. [DOI] [PubMed] [Google Scholar]
- 5. Bille A., Woo K. M., Ahmad U., Rizk N. P., and Jones D. R., “Incidence of Occult pN2 Disease Following Resection and Mediastinal Lymph Node Dissection in Clinical Stage I Lung Cancer Patients,” European Journal of Cardio‐Thoracic Surgery 51, no. 4 (2017): 674–679, 10.1093/ejcts/ezw400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Patel A. J. and Bille A., “Lymph Node Dissection in Lung Cancer Surgery,” Frontiers in Surgery 11 (2024): 1389943, 10.3389/fsurg.2024.1389943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Adamica D., Tulinský L., Kepičová M., et al., “Robotic‐Assisted Mediastinal Lymphadenectomy in Lung Cancer: A Narrative Review,” Journal of Robotic Surgery 19, no. 1 (2025): 263, 10.1007/s11701-025-02392-4. [DOI] [PubMed] [Google Scholar]
- 8. Ma J., Li X., Zhao S., Wang J., Zhang W., and Sun G., “Robot‐Assisted Thoracic Surgery Versus Video‐Assisted Thoracic Surgery for Lung Lobectomy or Segmentectomy in Patients With Non‐Small Cell Lung Cancer: A Meta‐Analysis,” BMC Cancer 21, no. 1 (2021): 498, 10.1186/s12885-021-08241-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Rami‐Porta R., Wittekind C., Goldstraw P., and International Association for the Study of Lung Cancer (IASLC) Staging Committee , “Complete Resection in Lung Cancer Surgery: Proposed Definition,” Lung Cancer 49, no. 1 (2005): 25–33, 10.1016/j.lungcan.2005.01.001. [DOI] [PubMed] [Google Scholar]
- 10. Schauer M. I., Jung E. M., Hofmann H. S., Platz Batista da Silva N., Akers M., and Ried M., “Performance of Intraoperative Contrast‐Enhanced Ultrasound (Io‐CEUS) in the Diagnosis of Primary Lung Cancer,” Diagnostics 14, no. 15 (2024): 1597, 10.3390/diagnostics14151597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Yusuf G. T., Fang C., Tran S., et al., “A Pictorial Review of the Utility of CEUS in Thoracic Biopsies,” Insights Into Imaging 12, no. 1 (2021): 9, 10.1186/s13244-020-00944-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Fiorelli A., Messina G., Frongillo E., et al., “The Use of Ultrasound in Detecting and Defining Ground‐Glass Opacities: Results of an Ex Vivo Evaluation,” Interactive Cardiovascular and Thoracic Surgery 26, no. 4 (2018): 551–558, 10.1093/icvts/ivx373. [DOI] [PubMed] [Google Scholar]
- 13. Boccatonda A., Brighenti A., Bakken S. M., et al., “Role of Quantitative CEUS in the Diagnosis of Peripheral Pulmonary Lesions: A Systematic Review,” Cancers 17, no. 10 (2025): 1697, 10.3390/cancers17101697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Sun Z., Yu X., Ma J., Zhou T., and Zhang B., “Efficacy of CEUS‐Guided Biopsy for Thoracic and Pulmonary Lesions: A Systematic Review and Meta‐Analysis,” BMC Medical Imaging 25, no. 1 (2025): 158, 10.1186/s12880-025-01700-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Tang A., Raja S., Bribriesco A. C., et al., “Robotic Approach Offers Similar Nodal Upstaging to Open Lobectomy for Clinical Stage I Non‐Small Cell Lung Cancer,” Annals of Thoracic Surgery 110, no. 2 (2020): 424–433, 10.1016/j.athoracsur.2020.02.059. [DOI] [PubMed] [Google Scholar]
- 16. Li Q., Nie F., Yang D., Dong T., and Liu T., “Contrast‐Enhanced Ultrasound (CEUS)—A New Tool for Evaluating Blood Supply in Primary Peripheral Lung Cancer,” Clinical Hemorheology and Microcirculation 83, no. 1 (2023): 61–68, 10.3233/CH-221484. [DOI] [PubMed] [Google Scholar]
- 17. Cerfolio R. J., Bryant A. S., Skylizard L., and Minnich D. J., “Initial Consecutive Experience of Completely Portal Robotic Pulmonary Resection With 4 Arms,” Journal of Thoracic and Cardiovascular Surgery 142, no. 4 (2011): 740–746, 10.1016/j.jtcvs.2011.07.022. [DOI] [PubMed] [Google Scholar]
- 18. Zirafa C., Aprile V., Ricciardi S., et al., “Nodal Upstaging Evaluation in NSCLC Patients Treated by Robotic Lobectomy,” Surgical Endoscopy 33, no. 1 (2019): 153–158, 10.1007/s00464-018-6288-8. [DOI] [PubMed] [Google Scholar]
- 19. Findeisen H., Trenker C., Safai Zadeh E., and Görg C., “Further Aspects Concering Peripheral Lung Carcinoma in CEUS,” Ultraschall in der Medizin 42, no. 3 (2021): 323, 10.1055/a-1090-4327. [DOI] [PubMed] [Google Scholar]
- 20. Chen W., Zhang Y., Tang J., et al., “Correlations Between Contrast‐Enhanced Ultrasound and Microvessel Density in Non‐Small Cell Lung Cancer: A Prospective Study,” Frontiers in Oncology 13 (2023): 1086251, 10.3389/fonc.2023.1086251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Ramadan O. I., Wei B., and Cerfolio R. J., “Robotic Surgery for Lung Resections‐Total Port Approach: Advantages and Disadvantages,” Journal of Visceral Surgery 3 (2017): 22, 10.21037/jovs.2017.01.06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Gambardella C., Messina G., Pica D. G., et al., “Intraoperative Lung Ultrasound Improves Subcentimetric Pulmonary Nodule Localization During VATS: Results of a Retrospective Analysis,” Thorac Cancer 14, no. 25 (2023): 2558–2566, 10.1111/1759-7714.15027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Messina G., Bove M., Noro A., et al., “Intraoperative Ultrasound: “Alternative Eye” in Lymph Nodal Dissection in Non‐Small Cell Lung Cancer,” Thorac Cancer 13, no. 23 (2022): 3250–3256, 10.1111/1759-7714.14623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Wang S., Yang W., Fu J. J., et al., “Microflow Imaging of Contrast‐Enhanced Ultrasound for Evaluation of Neovascularization in Peripheral Lung Cancer,” Medicine 95, no. 32 (2016): e4361, 10.1097/MD.0000000000004361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Hong Z., Liu Q., Li H., et al., “Effect of da Vinci Robot Versus Thoracoscopic Surgery on Lung Function and Oxidative Stress Levels in NSCLC Patients: A Propensity Score‐Matched Study,” Surgical Endoscopy 38, no. 2 (2024): 706–712, 10.1007/s00464-023-10577-x. [DOI] [PubMed] [Google Scholar]
- 26. Huang J., Tian Y., Zhou Q. J., et al., “Comparison of Perioperative Outcomes of Robotic‐Assisted Versus Video‐Assisted Thoracoscopic Right Upper Lobectomy in Non‐Small Cell Lung Cancer,” Translational Lung Cancer Research 10, no. 12 (2021): 4549–4557, 10.21037/tlcr-21-960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Yu Qing D., Jing B., Bing W., et al., “Differential Diagnosis of Pathological Type of Peripheral Lung Cancer With Multimodal Contrast‐Enhanced Ultrasound,” Ultrasound in Medicine & Biology 50, no. 10 (2024): 1485–1493, 10.1016/j.ultrasmedbio.2024.05.017. [DOI] [PubMed] [Google Scholar]
- 28. Fiorelli A., Forte S., Di Filippo V., et al., “Lung Nodule Detection by Intraoperative Ultrasound During Robotic Surgery,” JTCVS Techniques 30 (2025): 148–150, 10.1016/j.xjtc.2025.01.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Wang X. Y., Yuan Z. F., Gan K. H., et al., “Contrast‐Enhanced Imaging in Peripheral Pulmonary Lesions: The Role in US‐Guided Biopsies,” Radiology: Cardiothoracic Imaging 6, no. 3 (2024): e230234, 10.1148/ryct.230234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Ureña A., Moreno C., Macia I., et al., “A Comparison of Total Thoracoscopic and Robotic Surgery for Lung Cancer Lymphadenectomy,” Cancers (Basel) 15, no. 13 (2023): 3442, 10.3390/cancers15133442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Miyajima M., Maki R., Arai W., et al., “Robot‐Assisted vs. Video‐Assisted Thoracoscopic Surgery in Lung Cancer,” Journal of Thoracic Disease 14, no. 6 (2022): 1890–1899, 10.21037/jtd-21-1696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Page M. J., McKenzie J. E., Bossuyt P. M., et al., “The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews,” BMJ (Clinical Research Edition) 372 (2021): n71, 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Schauer M. I., Jung E.‐M., da Silva N. P. B., et al., “Intraoperative Contrast‐Enhanced Ultrasonography (Io‐CEUS) in Minimally Invasive Thoracic Surgery for Characterization of Pulmonary Tumours: A Clinical Feasibility Study,” Cancers 15 (2023): 3854, 10.3390/cancers15153854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Toker A., Özyurtkan M. O., Demirhan Ö., Ayalp K., Kaba E., and Uyumaz E., “Lymph Node Dissection in Surgery for Lung Cancer: Comparison of Open vs. Video‐Assisted vs. Robotic‐Assisted Approaches,” Annals of Thoracic and Cardiovascular Surgery 22, no. 5 (2016): 284–290, 10.5761/atcs.oa.16-00087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Louie B. E., Farivar A. S., Aye R. W., and Vallières E., “Early Experience With Robotic Lung Resection Results in Similar Operative Outcomes and Morbidity When Compared With Matched Video‐Assisted Thoracoscopic Surgery Cases,” Annals of Thoracic Surgery 93, no. 5 (2012): 1598–1605, 10.1016/j.athoracsur.2012.01.067. [DOI] [PubMed] [Google Scholar]
- 36. Lee B. E., Shapiro M., Rutledge J. R., and Korst R. J., “Nodal Upstaging in Robotic and Video Assisted Thoracic Surgery Lobectomy for Clinical N0 Lung Cancer,” Annals of Thoracic Surgery 100, no. 1 (2015): 229–234, 10.1016/j.athoracsur.2015.03.109. [DOI] [PubMed] [Google Scholar]
- 37. Haruki T., Takagi Y., Kubouchi Y., et al., “Comparison Between Robot‐Assisted Thoracoscopic Surgery and Video‐Assisted Thoracoscopic Surgery for Mediastinal and Hilar Lymph Node Dissection in Lung Cancer Surgery,” Interactive Cardiovascular and Thoracic Surgery 33, no. 3 (2021): 409–417, 10.1093/icvts/ivab112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Lardinois D., De Leyn P., Van Schil P., et al., “ESTS Guidelines for Intraoperative Lymph Node Staging in Non‐Small Cell Lung Cancer,” European Journal of Cardio‐Thoracic Surgery 30, no. 5 (2006): 787–792, 10.1016/j.ejcts.2006.08.008. [DOI] [PubMed] [Google Scholar]
- 39. Shindo Y., Miyajima M., Nakamura Y., et al., “Number of Lymph Nodes Dissected and Upstaging Rate of the N Factor in Robot‐Assisted Thoracic Surgery Versus Video‐Assisted Thoracic Surgery for Patients With cN0 Primary Lung Cancer,” Surgery Today 53, no. 4 (2023): 428–434, 10.1007/s00595-022-02578-5. [DOI] [PubMed] [Google Scholar]
- 40. Kodia K., Razi S. S., Alnajar A., Nguyen D. M., and Villamizar N., “Comparative Analysis of Robotic Segmentectomy for Non‐Small Cell Lung Cancer: A National Cancer Database Study,” Innovations 16, no. 3 (2021): 280–287, 10.1177/1556984521997805. [DOI] [PubMed] [Google Scholar]
- 41. Le Gac C., Gondé H., Gillibert A., et al., “Medico‐Economic Impact of Robot‐Assisted Lung Segmentectomy: What Is the Cost of the Learning Curve?,” Interactive Cardiovascular and Thoracic Surgery 30, no. 2 (2020): 255–262, 10.1093/icvts/ivz246. [DOI] [PubMed] [Google Scholar]
- 42. Winckelmans T., Decaluwé H., De Leyn P., and Van Raemdonck D., “Segmentectomy or Lobectomy for Early‐Stage Non‐Small‐Cell Lung Cancer: A Systematic Review and Meta‐Analysis,” European Journal of Cardio‐Thoracic Surgery 57, no. 6 (2020): 1051–1060, 10.1093/ejcts/ezz339. [DOI] [PubMed] [Google Scholar]
- 43. Nguyen D. M., Sarkaria I. S., Song C., et al., “Clinical and Economic Comparative Effectiveness of Robotic‐Assisted, Video‐Assisted Thoracoscopic, and Open Lobectomy,” Journal of Thoracic Disease 12, no. 3 (2020): 296–306, 10.21037/jtd.2020.01.40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Veluswamy R. R., Whittaker Brown S. A., Mhango G., et al., “Comparative Effectiveness of Robotic‐Assisted Surgery for Resectable Lung Cancer in Older Patients,” Chest 157, no. 5 (2020): 1313–1321, 10.1016/j.chest.2019.09.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Zhou Q., Huang J., Pan F., et al., “Operative Outcomes and Long‐Term Survival of Robotic‐Assisted Segmentectomy for Stage IA Lung Cancer Compared With Video‐Assisted Thoracoscopic Segmentectomy,” Translational Lung Cancer Research 9, no. 2 (2020): 306–315, 10.21037/tlcr-20-533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Gallina F. T., Melis E., Forcella D., et al., “Nodal Upstaging Evaluation After Robotic‐Assisted Lobectomy for Early‐Stage Non‐Small Cell Lung Cancer Compared to Video‐Assisted Thoracic Surgery and Thoracotomy: A Retrospective Single Center Analysis,” Frontiers in Surgery 8 (2021): 666158, 10.3389/fsurg.2021.666158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Asemota N., Maraschi A., Lampridis S., et al., “Comparison of Quality of Life After Robotic, Video‐Assisted, and Open Surgery for Lung Cancer,” Journal of Clinical Medicine 12, no. 19 (2023): 6230, 10.3390/jcm12196230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Veronesi G., Novellis P., Voulaz E., and Alloisio M., “Robot‐Assisted Surgery for Lung Cancer: State of the Art and Perspectives,” Lung Cancer 101 (2016): 28–34, 10.1016/j.lungcan.2016.09.004. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
