Preprint
Review

This version is not peer-reviewed.

Refining Surgical Standards: The Role of Robotic-Assisted Segmentectomy in Early-Stage Non-Small Cell Lung Cancer

A peer-reviewed article of this preprint also exists.

Submitted:

23 October 2025

Posted:

24 October 2025

You are already at the latest version

Abstract
Background: Recent trials, including JCOG0802/WJOG4607L and CALGB140503, con-firmed the oncological adequacy of segmentectomy for early-stage non-small cell lung cancer (NSCLC). This shift emphasizes the preservation of pulmonary function and minimal invasiveness. Robot-assisted thoracic surgery (RATS) offers enhanced anatomi-cal precision and potentially improves segmentectomy outcomes. Methods: We reviewed the current evidence comparing sublobar resection and lobectomy for early-stage NSCLC, focusing on RATS segmentectomy. Clinical trials, perioperative and long-term outcomes, technical innovations, and patient selection criteria were analyzed. Comparative data among RATS, video-assisted thoracoscopic surgery (VATS), and open approaches were synthesized, including the emerging roles of AI and 3D imaging. Results: Segmentectomy yields survival outcomes equivalent or superior to lobectomy for stage IA peripheral NSCLC ≤2 cm, with better pulmonary function despite higher locoregional recurrence. RATS enhances visualization, dexterity, and ergonomics, thereby enabling precise dissec-tion and lymph node assessment. Compared to VATS and open surgery, RATS shows lower conversion rates, reduced pain, and comparable oncological control. Innovations, such as indocyanine green imaging, 3D modeling, and AI-guided navigation, support margin accuracy and personalized care. Conclusions: Segmentectomy has redefined the surgical standards for early-stage NSCLC. RATS maximizes the minimally invasive bene-fits by combining oncological safety and functional preservation. Its technical precision facilitates complex resections and integration with digital planning tools to advance per-sonalized thoracic surgery. RATS represents the next evolution of minimally invasive thoracic surgery, redefining the balance between oncological safety and functional preservation in early-stage NSCLC.
Keywords: 
;  ;  ;  

1. Introduction

Early-stage non-small-cell lung cancer (NSCLC) represents a paradigm in thoracic oncology that continues to evolve, driven by advances in early detection, surgical techniques, and an increasing focus on preserving post-treatment quality of life. Segmentectomy, a sublobar resection, has emerged as a central component of this evolution, propelled by recent high-profile randomized controlled trials (RCTs), specifically the JCOG0802/WJOG4607L and CALGB140503 studies[1,2], which have demonstrated the oncological adequacy of segmentectomy for clinical stage IA small peripheral NSCLC. These findings have catalyzed a significant shift in surgical standards, with segmentectomy now recommended as the new standard approach for appropriately selected patients with early-stage NSCLC.
Simultaneously, the field of thoracic surgery has witnessed a robust transition towards techniques classified as minimally invasive surgery (MIS), notably video-assisted thoracoscopic surgery (VATS) and, more recently, robot-assisted thoracic surgery (RATS). The RATS platform, which utilizes magnified three-dimensional (3D) visualization, multi-joint (“wristed”) instruments, tremor filtration, and enhanced surgeon ergonomics, offers technical advantages particularly well-suited for complex anatomical dissections, such as segmentectomy[3,4].
This review critically examined the progression from the historical lobectomy standard to the evidence-based emergence of segmentectomy for early-stage NSCLC, with a special focus on the integration and clinical impact of RATS. Special emphasis is placed on the comparative outcomes (oncologic, functional, and perioperative) of segmentectomy and lobectomy and on how RATS segmentectomy measures against VATS and open approaches, ultimately highlighting the technical innovations underpinning the paradigm shift toward personalized, minimally invasive thoracic surgery.

2. Materials and Methods

2.1. Literature Search Strategy

A comprehensive narrative review of the literature was undertaken, focusing primarily on RCTs, high-quality meta-analyses, and systematically conducted retrospective studies that compared segmentectomy with lobectomy for NSCLC. In addition, we examined studies directly comparing RATS, VATS, and open segmentectomy, published between January 2020 and September 2025, identified through a PubMed search. To ensure completeness and clinical relevance, we incorporated evidence from updated international guidelines (e.g., CHEST and NCCN), consensus statements, and technological reports describing the evolution of robotic thoracic surgery platforms. This approach allows for a balanced synthesis of both high-level evidence and authoritative expert recommendations.

2.2. Inclusion and Exclusion Criteria

  • Study type: RCTs, prospective cohort studies, high-quality meta-analyses, systematic reviews, and retrospective studies with adequate methodological rigor, including propensity score-matched analyses and larger cohort studies.
  • Population: Adults (≥18 years) with early-stage NSCLC, primarily in clinical stage IA or I disease. Studies including patients who were pathologically upstaged were permitted, provided that the surgical intent was curative and that the majority of the cohort had stage I disease.
  • Interventions/comparators: (1) anatomical segmentectomy versus lobectomy and (2) RATS segmentectomy versus VATS and open segmentectomy.
  • Outcomes: Overall survival (OS), disease-free survival (DFS), recurrence-free survival (RFS), local recurrence, lymph node yield, margin status, preservation of pulmonary function, perioperative and postoperative complications, and technical aspects, such as conversion rates, pain scores, and operative time.
  • Article type: The manuscript is written in English, and the Full text is available.
Studies were excluded if they primarily addressed wedge resection, involved metastatic disease, lacked sufficient outcome data, or constituted non-primary research (e.g., case reports and editorials). Exceptions were made only when the sources provided aggregated evidence of particular relevance, such as guideline-based recommendations.

2.3. Data Extraction and Synthesis

Data on study characteristics, patient demographics, surgical details, and all pre-specified outcome measures were systematically extracted. Whenever available, direct numerical values (e.g., hazard ratios, odds ratios, survival rates, means, or medians) and their statistical significance were recorded to facilitate structured comparisons across studies.
Key studies comparing segmentectomy and lobectomy (including randomized controlled trials and meta-analyses).
Comparative outcomes of RATS, VATS, and open segmentectomy, with emphasis on the predefined outcome metrics.
All findings were synthesized narratively, without conducting a new pooled statistical analysis, in order to highlight analytical depth, contextual nuances, and the influence of technical innovations on surgical outcomes.

3. Results

3.1. The Paradigm Shift: Segmentectomy Versus Lobectomy in Early-Stage NSCLC

The results of the literature search are summarized in Table 1, which highlights key randomized controlled trials and meta-analyses comparing anatomical segmentectomy with lobectomy in patients with early-stage NSCLC[1,2,5,6,7,8].

3.1.1. Key Randomized Controlled Trials

JCOG0802/WJOG4607L[1,9]: This Japanese multicenter phase 3 randomized controlled trial enrolled 1106 patients with clinical stage IA, small-sized (≤2 cm), peripheral NSCLC with a consolidation-to-tumor ratio >0.5, who were randomized to lobectomy or anatomical segmentectomy. During the median follow-up of 10.5 years:
  • Overall survival (OS): At 5 years, segmentectomy demonstrated a statistically significant survival advantage over lobectomy (94.3% vs. 91.1%). At 10 years, the OS remained higher with segmentectomy (83.6% vs. 79.8%; HR = 0.864), as reported in the AATS presentation, confirming the durability of the survival benefit.
  • Recurrence-free survival (RFS): At 5 years, RFS was nearly identical between the groups (88.0% vs. 87.9%). At 10 years, RFS remained comparable (76.8% vs. 78.0%), indicating no long-term difference in recurrence risk.
  • Local recurrence was higher after segmentectomy (11.2%) than after lobectomy (5.8%), although there was no corresponding increase in lung cancer–specific mortality.
  • Pulmonary function: Segmentectomy preserved pulmonary function better than lobectomy, although the magnitude of the benefit was less than anticipated in subgroups that required resection of more than two segments.
  • Pure-solid cohort analysis[10]: In patients with radiologically pure-solid tumors, segmentectomy was associated with superior overall survival compared to lobectomy (5-year OS: 92.4% vs. 86.1%) despite a higher incidence of local recurrence (16% vs. 8%). The recurrence-free survival rates were comparable. Notably, outcomes appeared to be influenced by patient factors such as age and sex, with older male patients deriving greater OS benefits from segmentectomy, whereas younger female patients tended to have slightly better RFS with lobectomy.
CALGB140503 (Alliance)[2]: This North American phase 3 randomized controlled trial enrolled 697 patients with peripheral NSCLC ≤2 cm who were pathologically node-negative on intraoperative frozen section. Patients were randomized to undergo lobectomy or sublobar resection (41%, segmentectomy; 59%, wedge resection). The median follow-up of 7 years.
  • Overall survival (OS): 5-year OS was 80.3% for sublobar resection and 78.9% for lobectomy (HR 0.95; 95% CI 0.72–1.26), confirming no significant difference.
  • Disease-free survival (DFS): 5-year DFS was 63.6% for sublobar resection versus 64.1% for lobectomy (HR 1.01; 90% CI 0.83–1.24), meeting the criterion for non-inferiority.
  • Recurrence rates: No significant differences in local, regional, or distant recurrences were observed between the groups.
  • Pulmonary function: The sublobar group experienced a significantly lower decline in FEV1 at 6 and 12 months after surgery, indicating better preservation of pulmonary function.
Interpretation: Although the CALGB 140503 was a large-scale randomized trial, a substantial proportion of patients underwent wedge resection rather than anatomical segmentectomy. Therefore, the findings are not directly comparable with those of trials focusing exclusively on segmentectomies, such as JCOG0802/WJOG4607L. Nevertheless, the study clearly demonstrated the non-inferiority of sublobar resection as a whole compared to lobectomy for small, peripheral, node-negative NSCLC.

3.1.2. Meta-Analyses and Cohort Data[5,6,7,8]

  • Li et al.[5] (meta-analysis, 17 studies, n = 4,476): No significant differences in OS (HR 1.14), DFS (HR 1.13), or RFS (HR 0.95) were observed between segmentectomy and lobectomy for stage I NSCLC.
  • Winckelmans et al.[8] that segmentectomy provides comparable results for tumors <2 cm in terms of OS and RFS.

3.1.3. Functional Outcomes and Complications

  • Pulmonary function preservation: Segmentectomy was consistently superior to lobectomy in preserving FEV1, FVC, and DLCO in pooled analyses[1,2,7,8].
  • Complication rates: Complication rates are reportedly generally similar[1,2,6], although Saji et al. reported that prolonged air leakage was more common after segmentectomy (6.5% vs. 3.4%, p = 0.04)[1].

3.2. RATS Segmentectomy Versus VATS and Open Surgery: Comparative Outcomes

A growing body of evidence, including meta-analyses and institutional cohort studies, now enables a multi-domain assessment of RATS compared with VATS and open surgery. The synthesis is organized in parallel with Table 2, highlighting the oncological, functional, and technical outcomes[11,12,13,14,15,16,17,18,19,20,21].

3.2.1. Oncological Outcomes (Overall and Relapse-Free Survival)

  • Multiple studies have demonstrated that RATS achieves oncological outcomes equivalent to or superior to those of VATS and open surgery[14,17,18]. Montagne et al.[14] reported that the 3-year OS was 90.1% (RATS) vs. 87.8% (VATS) and the 3-year RFS was 72.9% (RATS) vs. 84.5% (VATS). Pan et al.[17] reported that the 5-year OS rates were 89.3% (RATS) vs. 88.6% (VATS), and the 5-year RFS was 82.5% (RATS) vs. 84.8% (VATS). However, Catelli et al.[21] reported a 2-year OS of 100% for RATS, 96.2% for VATS, and 75.8% for open surgery. Both RATS and VATS demonstrated superior overall survival compared to open surgery. Recurrence rates were lowest in the RATS group (4%) compared to the VATS (24.3%) and open surgery groups (23.8%), although the difference was statistically significant.

3.2.2. Lymph Node Yield and Nodal Station Dissection

  • RATS consistently demonstrated superior lymph node station dissection compared to VATS. RATS retrieves more nodal stations, approaching the thoroughness of open surgery[11,12,13,18,21]. Zhang et al.[12] confirmed this finding in a meta-analysis, noting that RATS yielded a higher number of dissected stations and more complete mediastinal staging. Although the total lymph node counts were comparable in some studies (e.g., Catelli et al.[21]), the quality and anatomical precision of the nodal dissection favored RATS.

3.2.3. Perioperative Outcomes and Postoperative Complications

  • Several studies have shown that RATS is associated with a reduced operative time, decreased blood loss, and a significantly shorter length of postoperative stay. However, there have also been reports indicating that the operative time was longer in the RATS group[11,12,13,14,15,16,17,19,21]. Operative time findings were inconsistent across studies, reflecting institutional experience and case complexity.
  • Although most studies found no significant differences in 90-day mortality, Francis et al. reported a significantly higher mortality rate in the RATS group[12,13,14,15,16,17,19,20,21].
  • Complication rates were generally lower for the RATS segmentectomy[13,16,18,19]. However, it has been reported that postoperative complications were more frequent in the RATS group, as reflected by an increased rate of hospital readmission[20].

3.2.4. Conversion Rates

  • Regarding conversion rates, most studies found no significant difference between RATS and VATS; however, Catelli et al.[21] reported a significantly lower conversion rate in the RATS group. Catelli et al.[21] reported a 0% conversion rate for RATS versus 13% for VATS (p = 0.005).

4. Discussion

4.1. Segmentectomy as the New Standard: Evidence, Subgroup Nuances, and Patient Selection

The surgical management of early-stage NSCLC has evolved remarkably over the past three decades. In 1995, Ginsberg et al.[22] reported a higher local recurrence and worse survival following sublobar resection than after lobectomy, thereby establishing lobectomy as the gold standard for resectable NSCLC for nearly 30 years. This historical trial shaped surgical practices worldwide and reinforced the concept that lobectomy is the minimum radical procedure required for oncological adequacy.
Over time, the accumulation of clinical evidence and evolving surgical perspectives has prompted renewed interest in parenchymal-sparing surgeries. Two landmark randomized trials challenged this long-standing paradigm. The JCOG0802/WJOG4607L trial[1] in Japan, mandated anatomical segmentectomy and demonstrated a survival advantage over lobectomy in patients with peripheral NSCLC ≤2 cm. In contrast, the CALGB 140503 trial[2] in North America permitted both wedge resection and segmentectomy, ultimately confirming the noninferiority of sublobar resection to lobectomy. Despite the differences in design and patient populations, both trials collectively redefined the role of sublobar resection, establishing segmentectomy as an oncologically valid option for carefully selected patients.
Taken together, these findings indicate a paradigm shift: Segmentectomy is no longer regarded as a compromise procedure, but rather as a new standard of care for early-stage NSCLC, particularly in patients with small, peripheral tumors or those requiring maximal preservation of pulmonary function.

4.2. Special Attention in Case Selection

  • Tumor size and location: Sublobular resection, particularly segmentectomy, for peripheral small NSCLCs has become an accepted standard. However, the case selection remains critical. It is generally considered that tumors >2 cm or centrally located lesions may not be optimal for segmentectomy. However, the JCOG1211 trial demonstrated that segmentectomy should be considered a part of the standard procedure for patients with predominantly ground glass opacity (GGO) NSCLC with a tumor size of 3 cm or less in diameter, even if it exceeds 2 cm[23].
  • Margin status: Margins must meet or exceed the nodule diameter or be at least 2 cm in diameter for oncological adequacy. Securing adequate surgical margins is a critical determinant of the oncological validity of segmentectomies. This issue is particularly relevant in RATS, in which the absence of tactile sensation precludes intraoperative palpation of the lung parenchyma to identify small or ground-glass-dominant nodules. Consequently, various strategies have been developed to compensate for this limitation and ensure margin adequacy[24,25,26,27,28,29,30]. Preoperative tumor localization techniques, such as CT-guided hook-wire placement, microcoil insertion, dye injection, or, more recently, RFID-based marking, enable the precise intraoperative identification of lesions that cannot be palpated. In parallel, advances in 3D CT reconstruction allow surgeons to visualize patient-specific bronchovascular anatomy and simulate planned resection, thereby facilitating accurate determination of the intersegmental plane and anticipated margin length before surgery[31,32,33]. Intraoperatively, indocyanine green (ICG) fluorescence imaging has become an invaluable adjunct, providing real-time delineation of the intersegmental planes and enhancing the precision of parenchymal division[34,35]. The integration of these approaches, namely preoperative marking, 3D reconstruction, and ICG-guided imaging, effectively mitigates the lack of haptic feedback in RATS and strengthens the oncological reliability of segmentectomy by reducing the risk of inadequate margins and subsequent local recurrence.
  • Lymph node assessment: In the JCOG0802 trial[1], the incidence of pathological lymph node metastasis in the resected specimens was 5.6% in the lobectomy group and 6.2% in the segmentectomy group. Even in patients without preoperative evidence of lymph node metastasis, systematic lymph node dissection, including mediastinal lymphadenectomy, is desirable to ensure accurate postoperative staging and secure oncological radicality.

4.3. Technical Features of Robotic Surgery and Their Impact

The major clinical advantages of RATS can, to a large extent, be attributed to three critical technical features: magnified 3D vision, multijoint (wristed) instruments, and tremor filtration.

4.3.1. Magnified 3D Vision

  • The robotic 3D high-definition camera system provides surgeons with up to 10-fold magnification, combined with highly refined depth perception. This advanced visualization capability allows for accurate identification of delicate and otherwise difficult-to-discern anatomical structures, including small segmental arteries, veins, bronchi, and intersegmental planes. By offering a consistently stable and immersive three-dimensional view, the system enhances a surgeon’s ability to distinguish between subtle tissue planes and anatomical variations. Such advantages become particularly critical during technically demanding or anatomically complex segmentectomies, as well as during systematic lymphadenectomies, where precision and clarity directly influence both oncological outcomes and preservation of the functional lung parenchyma.

4.3.2. Multi-Joint Instruments (“EndoWrist”)

  • Robotic instruments are designed with seven degrees of freedom, enabling wristed articulation that mirrors and in many cases exceeds the natural range of motion of the human hand. This expanded maneuverability facilitates meticulous microdissection, delicate handling of vessels and bronchi, and confident placement of staplers, even within narrow or anatomically constrained operative fields. The ability to perform such refined movements not only promotes complete oncological resection, but also supports parenchymal preservation, thereby balancing radicality with functional outcomes.

4.3.3. Tremor Filtration and Stability

  • The robotic system incorporates advanced tremor filtration technology, which translates the surgeon’s hand movements into stable, scaled micromovements at the instrument tips. This feature minimizes the risk of inadvertent vascular or parenchymal injury, particularly in areas where millimeter-level precision is required. By reducing unintended motion, the system contributes to lower conversion rates and fewer intraoperative complications, which are particularly evident in patients with complex hilar or fissural anatomy. Additionally, enhanced stability reduces surgeon fatigue, further supporting consistent performance throughout lengthy procedures.

4.3.4. Imaging Guidance Integration

  • Seamless integration of adjunct imaging modalities, such as indocyanine green (ICG) fluorescence imaging (e.g., firefly mode), represents another major advantage of robotic platforms. These technologies improve the accuracy of margin assessment and anatomical delineation by providing real-time visualization of the intersegmental planes and vascular territories. The ability to overlay functional imaging onto the surgical field allows surgeons to tailor resections with greater confidence, facilitating precise, function-preserving procedures that align with the principles of minimally invasive personalized surgery.

4.3.5. Ancillary Advances: Planning and Navigation

  • Beyond their core visual and instrumental advantages, robotic platforms are increasingly incorporating ancillary technologies that further enhance surgical planning and intraoperative decision making. State-of-the-art imaging modalities, including 3D reconstructions and real-time navigation systems, can be displayed directly on the surgeon’s console. In addition, intraoperative feedback tools such as the TilePro mode allow the simultaneous visualization of radiologic images, endoscopic views, or hemodynamic data, thereby integrating multiple streams of information into a single operative field. These advances not only facilitate complex surgical strategies but also promote a more individualized and patient-centered approach to thoracic surgery.

4.4. RATS: Expanding the Envelope of Minimally Invasive Precision Surgery

Multiple studies confirm that in the hands of experienced surgeons:
  • Precision and functional preservation: RATS enables highly precise, function-sparing anatomical resections supported by 3D, high-definition visualization and enhanced instrument articulation.
  • Lymphadenectomy quality: Several comparative studies have confirmed that the quality of mediastinal and hilar lymph node dissection with RATS is at least equivalent and, in some series, superior to that achieved with VATS or open surgery.
  • Safety and conversion rates: Conversion to thoracotomy and perioperative complication rates were equal to or lower than those observed with VATS, particularly in technically demanding scenarios, such as in obese or frail patients, or in complex segmentectomies.
  • Oncological outcomes: Short- and long-term survival outcomes following RATS mirror or surpass those of VATS and open approaches, even in elderly or comorbid populations.
  • The technical features of RATS directly translate into better clinical outcomes: Fewer conversions, more radical resections with narrower margins in challenging anatomical scenarios, and potentially lower local recurrence, especially when paired with intraoperative imaging (ICG) and preoperative 3D simulation. The technical advantages of RATS significantly contribute to the challenge of higher local recurrence rates in segmentectomies. The 3D magnified view and tremor filtering facilitated the identification of fine structures deep in the lung, supporting a more accurate anatomical resection. Furthermore, ICG fluorescence imaging allows for real-time visualization of the intersegmental plane during surgery, helping to avoid inadequate surgical margins. These technological benefits play a crucial role in enhancing the radicality of segmentectomies and suppressing local recurrence.
  • Pain, recovery, and quality of life: RATS has been consistently associated with lower postoperative pain scores, reduced opioid requirements, and faster recovery than VATS or open surgery[36,37]. By minimizing chest wall trauma through smaller incisions and improved instrument control, RATS facilitates earlier mobilization, shorter hospital stay, and fewer pulmonary complications. Beyond these perioperative benefits, patients also reported greater satisfaction and improved quality of life in the early months after surgery, reflecting not only reduced discomfort but also a quicker return to daily activities.
  • Learning curve and resource utilization: While RATS is associated with higher upfront costs, these costs decline significantly once the learning curve is overcome[38,39]. Similarly, cumulative sum (CUSUM) analyses of segmentectomy have shown that proficiency is reached earlier with RATS than with uniportal VATS, suggesting a steeper but ultimately shorter learning curve[40]. Importantly, efficiency gains are most pronounced in technically complex resections, such as segmentectomy in anatomically challenging locations or in obese/frail patients, where enhanced dexterity and visualization of RATS reduce conversion rates and operative time. Systematic reviews have further highlighted that once the learning curve is surpassed, resource utilization (operative time, length of stay, and complication-related costs) becomes comparable between RATS and VATS, with potential advantages in high-complexity cases [19].
  • Complex segmentectomy (multiple segments, deep, or non-anatomical intersegmental planes) demands greater technical expertise and may particularly benefit from a robotic approach.

4.5. Personalized Thoracic Surgery: The Future Standard

RATS-based segmentectomy embodies the principle of personalized surgery, namely the selection of not only the extent of resection, but also of the method of access and specific technological tools that maximize benefit/minimize harm for each patient’s unique oncological and physiological profile. The integration of advanced imaging, functional assessment, and predictive analytics will further refine patient selection and procedural planning. For instance, AI is increasingly capable of automatically generating 3D models from preoperative computed tomography (CT) scans, analyzing tumor location, and patient-specific vascular and bronchial anatomy to simulate the optimal resection segment before surgery. Integrating this information with intraoperative navigation systems to guide robotic manipulation is expected to further enhance surgical precision and safety.
Guideline updates (2024–2025): The latest guidelines from CHEST®, NCCN, and others endorse segmentectomy for small, peripheral, node-negative NSCLC, and strongly recommend using minimally invasive approaches (VATS or RATS) whenever feasible, as long as oncological principles are not compromised. RATS is explicitly recognized as non-inferior to VATS performed by capable surgeons.
Two ongoing RCTs in Japan are expected to critically inform the future role of segmentectomy in early-stage NSCLC. The STEP-UP trial (WJOG 16923 L)[41] is an RCT directly comparing lobectomy and segmentectomy for pure-solid tumors measuring 2–3 cm, with overall survival as the primary endpoint. In contrast, the STRONG trial (JCOG2217)[42] is an RCT evaluating solid-predominant tumors (consolidation-to-tumor ratio >0.5) of 2–3 cm that includes a GGO component but excludes pure solid lesions, with overall survival as the primary endpoint. Together, these trials will determine whether segmentectomy can be oncologically valid not only for small or GGO-dominant tumors but also for more solid lesions in the 2–3 cm range. Depending on their outcomes, the current paradigm, in which segmentectomy is largely restricted to small peripheral tumors, may shift toward broader applications. From the perspective of personalized treatment, this evolution will inevitably increase the demand for technically complex segmentectomies. In this context, robot-assisted thoracic surgery offers unique advantages, providing the precision and minimal invasiveness required to safely and effectively perform demanding procedures.

5. Conclusions

Recent evidence has established segmentectomy as an oncologically sound and function-preserving alternative to lobectomy in selected patients with early-stage NSCLC. The refinement of RATS further elevates this paradigm by uniting radical oncological resection with the superior preservation of physiological function. By leveraging advanced technical features, such as 3D magnified vision, wristed instrumentation, tremor filtration, and integrated imaging, RATS enables precise, personalized, and minimally invasive cancer surgery.
Comparative studies have demonstrated that RATS achieves outcomes equivalent to or superior to those of VATS and open surgery in terms of survival, recurrence, lymph node clearance, margin status, functional preservation, and perioperative safety, particularly when the learning curve is surpassed. As segmentectomy has emerged as a new standard treatment for early-stage NSCLC, RATS is positioned to define the highest standards of personalized thoracic surgical care, balancing oncological radicality with maximal functional and cosmetic benefits.
Looking forward, the results of ongoing RCTs may further expand the indications for segmentectomy to larger and more solid tumors in the 2–3 cm range. Such an evolution will inevitably increase the demand for technically complex, individualized resections, in which the precision and minimal invasiveness of RATS are expected to play a central role. Future research should, therefore, focus not only on validating long-term oncological outcomes and refining patient selection criteria, but also on ensuring equitable access as robotic platforms become more widely available. In the era of precision oncology, RATS is a benchmark for how technological innovation and surgical judgment can converge to achieve both functional preservation and oncological excellence.

Author Contributions

Conceptualization, M.N. and Y.T.; methodology, M.N. and H.U.; validation, M.N., H.U., and Y.T.; formal analysis, M.N.; data curation, M.N.; writing—original draft preparation, M.N.; writing—review and editing, H.U., M. I. and Y.T.; visualization, M.N.; supervision, H.U.; project administration, Y.T.; All authors read and agreed to the published version of the manuscript.

Funding

This study received no external funding.

Data Availability Statement

The data supporting the findings of this study are available from the corresponding author upon request.

Acknowledgments

We would like to thank Editage (www.editage.jp) for English language editing.

Conflicts of Interest

The authors have no disclosures to report for the submitted work.

Abbreviations

The following abbreviations are used in this manuscript:
NSCLC Non-small cell lung cancer
RATS Robotic-assisted thoracic surgery
VATS Video-assisted thoracic surgery
OS Overall survival
DFS Disease-free survival
RCT Randomized controlled trial
GGO Ground glass opacity

References

  1. Saji, H.; Okada, M.; Tsuboi, M.; Nakajima, R.; Suzuki, K.; Aokage, K.; Aoki, T.; Okami, J.; Yoshino, I.; Ito, H.; et al. Segmentectomy versus lobectomy in small-sized peripheral non-small-cell lung cancer (JCOG0802/WJOG4607L): a multicentre, open-label, phase 3, randomised, controlled, non-inferiority trial. Lancet (London, England) 2022, 399, 1607–1617. [Google Scholar] [CrossRef]
  2. Altorki, N.; Wang, X.; Kozono, D.; Watt, C.; Landrenau, R.; Wigle, D.; Port, J.; Jones, D.R.; Conti, M.; Ashrafi, A.S.; et al. Lobar or Sublobar Resection for Peripheral Stage IA Non-Small-Cell Lung Cancer. N Engl J Med 2023, 388, 489–498. [Google Scholar] [CrossRef]
  3. Cusumano, G.; Calabrese, G.; Gallina, F.T.; Facciolo, F.; Novellis, P.; Veronesi, G.; Viscardi, S.; Lococo, F.; Meacci, E.; Terminella, A.; et al. Technical Innovations and Complex Cases in Robotic Surgery for Lung Cancer: A Narrative Review. Curr Oncol 2025, 32. [Google Scholar] [CrossRef]
  4. Haruki, T.; Takagi, Y.; Kubouchi, Y.; Kidokoro, Y.; Nakanishi, A.; Taniguchi, Y.; Nakamura, H. Current status of robot-assisted thoracoscopic surgery in Japan. Journal of Visualized Surgery 2020, 6, 29–29. [Google Scholar] [CrossRef]
  5. Li, T.; He, W.; Zhang, X.; Zhou, Y.; Wang, D.; Huang, S.; Li, X.; Fu, Y. Survival outcomes of segmentectomy and lobectomy for early stage non-small cell lung cancer: a systematic review and meta-analysis. J Cardiothorac Surg 2024, 19, 353. [Google Scholar] [CrossRef] [PubMed]
  6. Righi, I.; Maiorca, S.; Diotti, C.; Bonitta, G.; Mendogni, P.; Tosi, D.; Nosotti, M.; Rosso, L. Oncological Outcomes of Segmentectomy versus Lobectomy in Clinical Stage I Non-Small Cell Lung Cancer up to Two Centimeters: Systematic Review and Meta-Analysis. Life (Basel) 2023, 13. [Google Scholar] [CrossRef]
  7. Xu, Y.; Qin, Y.; Ma, D.; Liu, H. The impact of segmentectomy versus lobectomy on pulmonary function in patients with non-small-cell lung cancer: a meta-analysis. J Cardiothorac Surg 2022, 17, 107. [Google Scholar] [CrossRef] [PubMed]
  8. Winckelmans, T.; Decaluwe, H.; De Leyn, P.; Van Raemdonck, D. Segmentectomy or lobectomy for early-stage non-small-cell lung cancer: a systematic review and meta-analysis. Eur J Cardiothorac Surg 2020, 57, 1051–1060. [Google Scholar] [CrossRef]
  9. Nakajima, R.; Saji, H.; Tsuboi, M.; et al. Long-Term Outcomes of Segmentectomy Versus Lobectomy in Small-Sized Peripheral Non-Small Cell Lung Cancer: A 10-Year Follow-Up Analysis of the Phase 3 Randomized Trial (JCOG0802/WJOG4607L). 104th Annual Meeting of the AATS; 2024; Toronto, Canada. 2024. [Google Scholar]
  10. Hattori, A.; Suzuki, K.; Takamochi, K.; Wakabayashi, M.; Sekino, Y.; Tsutani, Y.; Nakajima, R.; Aokage, K.; Saji, H.; Tsuboi, M.; et al. Segmentectomy versus lobectomy in small-sized peripheral non-small-cell lung cancer with radiologically pure-solid appearance in Japan (JCOG0802/WJOG4607L): a post-hoc supplemental analysis of a multicentre, open-label, phase 3 trial. Lancet Respir Med 2024, 12, 105–116. [Google Scholar] [CrossRef]
  11. Kagimoto, A.; Tsutani, Y.; Izaki, Y.; Handa, Y.; Mimae, T.; Miyata, Y.; Okada, M. Initial experience of robotic anatomical segmentectomy for non-small cell lung cancer. Jpn J Clin Oncol 2020, 50, 440–445. [Google Scholar] [CrossRef]
  12. Zhang, Y.; Chen, C.; Hu, J.; Han, Y.; Huang, M.; Xiang, J.; Li, H. Early outcomes of robotic versus thoracoscopic segmentectomy for early-stage lung cancer: A multi-institutional propensity score-matched analysis. J Thorac Cardiovasc Surg 2020, 160, 1363–1372. [Google Scholar] [CrossRef]
  13. Mao, J.; Tang, Z.; Mi, Y.; Xu, H.; Li, K.; Liang, Y.; Wang, N.; Wang, L. Robotic and video-assisted lobectomy/segmentectomy for non-small cell lung cancer have similar perioperative outcomes: a systematic review and meta-analysis. Transl Cancer Res 2021, 10, 3883–3893. [Google Scholar] [CrossRef]
  14. Montagne, F.; Chaari, Z.; Bottet, B.; Sarsam, M.; Mbadinga, F.; Selim, J.; Guisier, F.; Gillibert, A.; Baste, J.M. Long-Term Survival Following Minimally Invasive Lung Cancer Surgery: Comparing Robotic-Assisted and Video-Assisted Surgery. Cancers (Basel) 2022, 14. [Google Scholar] [CrossRef]
  15. Gómez-Hernández, M.T.; Forcada, C.; Gómez, F.; Iscan, M.; Fuentes, M.G.; Rivas, C.E.; Aranda, J.L.; Colmenares, O.; Varela, G.; Jiménez, M.F. Early outcomes of robotic versus video-thoracoscopic anatomical segmentectomy: a propensity score-matched real-world study. Eur J Cardiothorac Surg 2024, 66. [Google Scholar] [CrossRef]
  16. Haruki, T.; Kubouchi, Y.; Kidokoro, Y.; Matsui, S.; Ohno, T.; Kojima, S.; Nakamura, H. A comparative study of robot-assisted thoracoscopic surgery and conventional approaches for short-term outcomes of anatomical segmentectomy. Gen Thorac Cardiovasc Surg 2024, 72, 338–345. [Google Scholar] [CrossRef] [PubMed]
  17. Pan, H.; Zou, N.; Tian, Y.; Shen, Y.; Chen, H.; Zhu, H.; Zhang, J.; Jin, W.; Gu, Z.; Ning, J.; et al. Robotic Versus Thoracoscopic Sub-lobar Resection for Octogenarians with Clinical Stage IA Non-small Cell Lung Cancer: A Propensity Score-Matched Real-World Study. Ann Surg Oncol 2024, 31, 1568–1580. [Google Scholar] [CrossRef] [PubMed]
  18. Caso, R.; Watson, T.J.; Tefera, E.; Cerfolio, R.; Abbas, A.E.; Lazar, J.F.; Margolis, M.; Hwalek, A.E.; Khaitan, P.G. Comparing Robotic, Thoracoscopic, and Open Segmentectomy: A National Cancer Database Analysis. J Surg Res 2024, 296, 674–680. [Google Scholar] [CrossRef] [PubMed]
  19. Wang, Y.; Meng, C.; Shi, L.; Gu, S.; Fan, X.; Wang, Q. Short-term outcomes of robotic- vs. television-assisted thoracoscopic segmental lung resection for early-stage non-small-cell lung cancer in the day surgery models. J Thorac Dis 2024, 16, 7257–7270. [Google Scholar] [CrossRef]
  20. Francis, J.; Domingues, D.M.; Chan, J.; Zamvar, V. Open thoracotomy versus VATS versus RATS for segmentectomy: a systematic review & Bayesian network meta-analysis. J Cardiothorac Surg 2024, 19, 551. [Google Scholar] [CrossRef]
  21. Catelli, C.; D’Alessandro, M.; Mathieu, F.; Corzani, R.; Ghisalberti, M.; Lloret Madrid, A.; Guerrini, S.; Paladini, P.; Luzzi, L. A Precision Surgery Framework for Lung Resection: Robotic, Video-Assisted, and Open Segmentectomy. J Pers Med 2025, 15. [Google Scholar] [CrossRef]
  22. Ginsberg, R.J.; Rubinstein, L.V. Randomized trial of lobectomy versus limited resection for T1 N0 non-small cell lung cancer. Lung Cancer Study Group. Ann Thorac Surg 1995, 60, 615–622, discussion 622–613. [Google Scholar] [CrossRef]
  23. Aokage, K.; Suzuki, K.; Saji, H.; Wakabayashi, M.; Kataoka, T.; Sekino, Y.; Fukuda, H.; Endo, M.; Hattori, A.; Mimae, T.; et al. Segmentectomy for ground-glass-dominant lung cancer with a tumour diameter of 3 cm or less including ground-glass opacity (JCOG1211): a multicentre, single-arm, confirmatory, phase 3 trial. Lancet Respir Med 2023, 11, 540–549. [Google Scholar] [CrossRef] [PubMed]
  24. Mack, M.J.; Gordon, M.J.; Postma, T.W.; Berger, M.S.; Aronoff, R.J.; Acuff, T.E.; Ryan, W.H. Percutaneous localization of pulmonary nodules for thoracoscopic lung resection. Ann Thorac Surg 1992, 53, 1123–1124. [Google Scholar] [CrossRef]
  25. Miyoshi, K.; Toyooka, S.; Gobara, H.; Oto, T.; Mimura, H.; Sano, Y.; Kanazawa, S.; Date, H. Clinical outcomes of short hook wire and suture marking system in thoracoscopic resection for pulmonary nodules. Eur J Cardiothorac Surg 2009, 36, 378–382. [Google Scholar] [CrossRef]
  26. Seo, J.M.; Lee, H.Y.; Kim, H.K.; Choi, Y.S.; Kim, J.; Shim, Y.M.; Lee, K.S. Factors determining successful computed tomography-guided localization of lung nodules. J Thorac Cardiovasc Surg 2012, 143, 809–814. [Google Scholar] [CrossRef]
  27. Mayo, J.R.; Clifton, J.C.; Powell, T.I.; English, J.C.; Evans, K.G.; Yee, J.; McWilliams, A.M.; Lam, S.C.; Finley, R.J. Lung nodules: CT-guided placement of microcoils to direct video-assisted thoracoscopic surgical resection. Radiology 2009, 250, 576–585. [Google Scholar] [CrossRef] [PubMed]
  28. Abe, S.; Ueda, Y.; Miyahara, S.; Ueda, T.; Sato, T. Utility of interfacility patient transfer after radiofrequency identification marker placement for precise sublobar resection of small pulmonary nodules. General Thoracic and Cardiovascular Surgery 2025. [Google Scholar] [CrossRef] [PubMed]
  29. Lenglinger, F.X.; Schwarz, C.D.; Artmann, W. Localization of pulmonary nodules before thoracoscopic surgery: value of percutaneous staining with methylene blue. AJR Am J Roentgenol 1994, 163, 297–300. [Google Scholar] [CrossRef]
  30. Ujiie, H.; Kato, T.; Hu, H.P.; Patel, P.; Wada, H.; Fujino, K.; Weersink, R.; Nguyen, E.; Cypel, M.; Pierre, A.; et al. A novel minimally invasive near-infrared thoracoscopic localization technique of small pulmonary nodules: A phase I feasibility trial. J Thorac Cardiovasc Surg 2017, 154, 702–711. [Google Scholar] [CrossRef]
  31. Le Moal, J.; Peillon, C.; Dacher, J.N.; Baste, J.M. Three-dimensional computed tomography reconstruction for operative planning in robotic segmentectomy: a pilot study. J Thorac Dis 2018, 10, 196–201. [Google Scholar] [CrossRef]
  32. Cannone, G.; Verzeletti, V.; Busetto, A.; Lione, L.; Bonis, A.; Nicotra, S.; Rebusso, A.; Mammana, M.; Schiavon, M.; Dell’Amore, A.; et al. Three-Dimensional Imaging-Guided Lung Anatomic Segmentectomy: A Single-Center Preliminary Experiment. Medicina (Kaunas) 2023, 59. [Google Scholar] [CrossRef]
  33. He, H.; Yu, C.; Yang, Y.; Maessen, J.G.; Sardari Nia, P. Three-Dimensional Reconstruction and Virtual Simulation of Patient-Specific Anatomy for Procedural Planning in Thoracoscopic Segmentectomy: A Systematic Review and Meta-Analysis. Eur J Cardiothorac Surg 2025, 67. [Google Scholar] [CrossRef]
  34. Ochi, T.; Sakairi, Y.; Sata, Y.; Toyoda, T.; Inage, T.; Tanaka, K.; Tamura, H.; Chiyo, M.; Matsui, Y.; Shiko, Y.; et al. Indocyanine green intravenous administration can more accurately identify the intersegmental plane than the inflation-deflation method in lung segmentectomy. PLoS One 2025, 20, e0328362. [Google Scholar] [CrossRef]
  35. Gurz, S.; Sullu, Y.; Tomak, L.; Temel, N.G.; Sengul, A. Comparison of Margin Quality for Intersegmental Plan Identification in Pulmonary Segmentectomy. Medicina (Kaunas) 2025, 61. [Google Scholar] [CrossRef]
  36. Asemota, N.; Maraschi, A.; Lampridis, S.; Pilling, J.; King, J.; Le Reun, C.; Bille, A. Comparison of Quality of Life after Robotic, Video-Assisted, and Open Surgery for Lung Cancer. J Clin Med 2023, 12. [Google Scholar] [CrossRef] [PubMed]
  37. Catelli, C.; Corzani, R.; Zanfrini, E.; Franchi, F.; Ghisalberti, M.; Ligabue, T.; Meniconi, F.; Monaci, N.; Galgano, A.; Mathieu, F.; et al. RoboticAssisted (RATS) versus Video-Assisted (VATS) lobectomy: A monocentric prospective randomized trial. Eur J Surg Oncol 2023, 49, 107256. [Google Scholar] [CrossRef] [PubMed]
  38. Harrison, O.J.; Maraschi, A.; Routledge, T.; Lampridis, S.; LeReun, C.; Bille, A. A cost analysis of robotic vs. video-assisted thoracic surgery: The impact of the learning curve and the COVID-19 pandemic. Front Surg 2023, 10, 1123329. [Google Scholar] [CrossRef]
  39. Perez, C.; Weiser, L.; Watson, J.J.; Razavi, A.; Nammalwar, S.; Fuller, C.; Soukiasian, S.; Li, Z.; Rocco, R.; Brownlee, A.R.; et al. VATS Versus Robotic Anatomic Pulmonary Resection in a High-Volume Institution: Cost and Outcomes Analysis. Innovations (Phila) 2025, 15569845251365679. [Google Scholar] [CrossRef]
  40. Igai, H.; Numajiri, K.; Ohsawa, F.; Nii, K.; Kamiyoshihara, M. Comparison of the Learning Curve between Uniportal and Robotic Thoracoscopic Approaches in Pulmonary Segmentectomy during the Implementation Period Using Cumulative Sum Analysis. Cancers (Basel) 2023, 16. [Google Scholar] [CrossRef] [PubMed]
  41. Kamigaichi, A.; Hamada, A.; Tsuboi, M.; Yoshimura, K.; Okamoto, I.; Yamamoto, N.; Tsutani, Y. A Multi-Institutional, Randomized, Phase III Trial Comparing Anatomical Segmentectomy and Lobectomy for Clinical Stage IA3 Pure-Solid Non-Small-Cell Lung Cancer: West Japan Oncology Group Study WJOG16923L (STEP UP Trial). Clin Lung Cancer 2024, 25, 384–388.e381. [Google Scholar] [CrossRef]
  42. Mitome, N.; Hattori, A.; Suzuki, K.; Wakabayashi, M.; Sekino, Y.; Isaka, T.; Yotsukura, M.; Aokage, K.; Fukuda, H.; Watanabe, S.I. A multi-institutional randomized phase III trial of lobectomy versus segmentectomy for radiologically solid-predominant non-small cell lung cancer with a ground-glass opacity and tumor diameter > 2 cm and </= 3 cm: JCOG2217 (STRONG). Jpn J Clin Oncol 2025, 55, 1184–1188. [Google Scholar] [CrossRef] [PubMed]
Table 1. Comparative Outcomes of Segmentectomy vs. Lobectomy in Early-stage NSCLC.
Table 1. Comparative Outcomes of Segmentectomy vs. Lobectomy in Early-stage NSCLC.
Study Design Population OS RFS Pulmonary
function
Complications
JCOG0802/WJOG4607L
(2022) [1]
RCT n = 1,106, cStage IA ≤2 cm NS NS Seg better NS
CALGB140503 (2023) [2] RCT n = 697, tumor ≤2 cm
* node negative
NS NS Sub better NS
Li et al. (2024) [5] Meta-analysis n = 4,476 cStage I NS NS NR NR
Righi et al. (2023) [6] Meta-analysis n = 5352, cStage IA, ≤2 cm NS NS NR NS
Xu et al. (2022) [7] Meta-analysis n = 2,412, cStage I NR NR Seg better NR
Winckelmans et al. (2020) [8] Meta-analysis 28 studies, n = 8300, cStage I Comparable for
tumors <2 cm
Comparable for
tumors <2 cm
Seg better NR
OS: overall survival, RFS: recurrence-free survival, NS: not significant, NR: not reported, Seg: segmentectomy, Lob: lobectomy, Sub: sublobar.
Table 2. Comparison of RATS Segmentectomy Versus VATS and Open Surgery.
Table 2. Comparison of RATS Segmentectomy Versus VATS and Open Surgery.
Author (year) Study
design
Population OS RFS 90-day
mortality
Length of hospital stay Operative time Blood loss Lymph node yield Complications Conversion rate
Kagimoto et al.[11] (2020) Retro, PSM n =40 PSM NR NR NS NS NS NS NS NS NS
Zhang et al.[12] (2020) Retro, PSM n = 774 (n = 257 PSM) NR NR NS NS NS NS RATS > VATS NS NS
Mao et al.[13] (2021) Meta-analysis 18 studies, n = 60349 NR NR NS NS RATS > VATS NR RATS > VATS RATS < VATS NS
Montagne et al.[14] (2022) Retro n = 174 NS NS NS NS RATS < VATS NR NR NS NS
Gómez-Hernández et al.[15] (2024) Retro, PSM n = 204 (n = 146 PSM) NR NR NS RATS < VATS NS NR NR NS NS
Haruki et al.[16] (2024) Retro, PSM n = 231 (n = 126 PSM) NR NR NR RATS < VATS RATS < VATS RATS < VATS NS Lower post-op pneumonia (RATS) NR
Pan et al.[17] (2024) Retro, PSM n = 594 (n = 225 PSM) NS NS NR RATS < VATS NS RATS < VATS NS NS NS
Caso et al.[18] (2024) Retro, PSM n = 22792 (n = 14958 PSM) RATS, VATS > Open NR RATS, VATS < Open NR NR NR RATS > VATS, Open RATS, VATS < Open NR
Wang et al.[19] (2024) Retro n = 204 NR NR NR RATS < VATS RATS < VATS NR NS RATS < VATS NR
Francis et al.[20] (2024) Meta-analysis 11 studies, n = 7280 NR NR RATS > Open, VATS (*30-day) NR NR NR NR RATS > VATS, Open (higher readmission) NR
Catelli et al.[21] (2025) Retro n = 157 NS RATS, VATS > Open RATS, VATS < Open RATS, VATS < Open RATS > VATS, Open NR RATS, Open > VATS NS VATS > RATS
Retro: retrospective, PSM: propensity score-matched, NS: not significant, NR: not reported, RATS: robotic-assisted thoracic surgery, VATS: video-assisted thoracic surgery.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2026 MDPI (Basel, Switzerland) unless otherwise stated