Refining Surgical Standards: The Role of Robotic-Assisted Segmentectomy in Early-Stage Non-Small-Cell Lung Cancer
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Literature Search Strategy
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.
2.3. Data Extraction and Synthesis
- 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.
3. Results
3.1. The Paradigm Shift: Segmentectomy Versus Lobectomy in Early-Stage NSCLC
3.1.1. Key Randomized Controlled Trials
- 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%) than after lobectomy (5%), although there was no corresponding increase in lung cancer–specific mortality.
- Pulmonary function: Segmentectomy preserved pulmonary function better than lobectomy. At 6 months, the median reduction in FEV1 was 10.4% after segmentectomy compared with 13.1% after lobectomy, and at 12 months the reductions were 8.5% and 12.0%, respectively. Although these differences (2.7% at 6 months and 3.5% at 12 months) indicate a statistically significant advantage for segmentectomy, the magnitude of benefit did not reach the predefined threshold of 10% considered clinically meaningful at one year of follow-up, particularly in subgroups requiring 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.
- 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: At 6 months postoperatively, the reduction from baseline in the percentage of predicted FEV1 was greater after lobar resection (−6.0; 95% CI, −8.0 to −5.0) compared with sublobar resection (−4.0; 95% CI, −5.0 to −2.0). Similarly, the reduction in the percentage of predicted FVC was greater following lobectomy (−5.0; 95% CI, −7.0 to −3.0) than after sublobar resection (−3.0; 95% CI, −4.0 to −1.0).
3.1.2. Meta-Analyses and Cohort Data [5,6,7,8]
- Li et al. [5] (meta-analysis, 17 studies, n = 4476): 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
3.2. RATS Segmentectomy Versus VATS and Open Surgery: Comparative Outcomes
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. RFS was not reported, although 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.
- Complication rates are generally reported to be lower or comparable in RATS segmentectomy [13,16,18,19]. However, Haruki et al. noted a significantly higher incidence of postoperative pneumonia [16]. In addition, 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
4. Discussion
4.1. Segmentectomy as the New Standard: Evidence, Subgroup Nuances, and Patient Selection
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
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. Portplacement
- Conventionally, RATS has been performed using four independent port accesses for the robot’s four arms, as exemplified by the Cerfolio and Dylewski methods [36,37]. More recently, reports have described the development of reduced-port RATS, particularly approaches such as uniport and dual-port employing small incisions [38,39,40,41]. In particular, when a small incision is made on the mid-axillary line, intraoperative palpation through the incision becomes feasible, and assistants can also intervene—for example, by inserting an RFID probe. Moreover, in these approaches employing small incisions, a 0-degree camera is often used, enabling surgeons to fully exploit the advantages of close-up magnified visualization provided by robotic assistance.
4.3.5. 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. Moreover, Uchida et al. reported the usefulness of combining intraoperative ICG fluorescence imaging with VAL-MAP in robotic segmentectomy [42].
4.3.6. 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
- 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.
- 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 [43,44]. 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 [45,46]. 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 [47]. 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.
- Limitations of Current Evidence: Despite these promising findings, it should be emphasized that robust evidence demonstrating the clinical superiority of RATS over either VATS or open surgery is still lacking. As robotic thoracic surgery has only relatively recently become widespread compared with VATS, the available evidence base remains limited, particularly with respect to long-term oncological outcomes. Most comparative studies report broadly equivalent perioperative and survival results across RATS, VATS, and open approaches, suggesting that the advantages of RATS are more consistently observed in surgical ergonomics and technical facilitation rather than in established patient-level benefits. Nevertheless, as adoption expands and long-term follow-up data accumulate, future studies may clarify whether RATS confers distinct clinical benefits beyond its technical advantages.
4.5. Personalized Thoracic Surgery: The Future Standard
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
| 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 |
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| Study | Design | Population | OS | RFS | Local Recurrence | Pulmonary Function | Complications |
|---|---|---|---|---|---|---|---|
| JCOG0802/WJOG4607L (2022) [1] | RCT | n = 1106, cStage IA ≤ 2 cm | Seg better HR 0.663 (95% CI 0.47–0.93) | NS HR 0.998 (95% CI 0.75–1.32) | Lob better (11% vs. 5% p = 0.0018) | Seg better | NS |
| CALGB140503 (2023) [2] | RCT | n = 697, tumor ≤ 2 cm node negative | NS HR 0.95 (95% CI 0.72–1.26) | NS HR1.01 (95%CI 0.83–1.24) | NS (13.4% vs. 10% p = 0.201) | Sub better | NS |
| Li et al. (2024) [5] | Meta-analysis | n = 4476 cStage I | NS HR 1.18 (95%CI 0.97–1.43) | NS HR 0.97 (95%CI 0.80–1.19) | NR | NR | NR |
| Righi et al. (2023) [6] | Meta-analysis | n = 5352, cStage IA, ≤2 cm | NS HR 0.99 (95%CI 0.76–1.28) | NS HR 1.00 (95%CI 0.78–1.27) | NR | NR | NS |
| Xu et al. (2022) [7] | Meta-analysis | n = 2412, cStage I | NR | 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 | NR | NR | NR |
| 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 R 0% vs. V 0% | NS: median R 7.5 d vs. V 7.5 d | NS: median R 163.5 m vs. V 147 m | NS: median R 26.5 mL vs. V 33.5 mL | NS | NS R 25% vs. V 20% | NS R 0% vs. V 0% |
| Zhang et al. [12] (2020) | Retro, PSM | n = 774 (n = 257 PSM) | NR | NR | NS (30-day) R 0% vs. V 0% | NS: median R 4 d vs. V 4 d | NS: average R 147.9 m vs. V 149.2 m | NS: median (ml) R 50 mL vs. V100 mL | R better (LN1) | NS R 17.9% vs. V 14.8% | NS R 0.4% vs. V1.2% |
| Mao et al. [13] (2021) | Meta-analysis | 18 studies, n = 60,349 | NR | NR | NS (OR0.72: 95%CI 0.47–1.11) | NS | V better | NR | R better | R better (OR0.85: 95%CI 0.75–0.96) | NS (OR1.42: 95%CI 0.70–2.88) |
| Montagne et al. [14] (2022) | Retro | n = 174 PSM | NS (3-year) R 90.7% vs. V 82.6% | NS (3-year) R 84.6% vs. V 72.9% | NS R 2.1% vs. V 0.81% | NS: median R 4 d vs. V 4 d | R better: median R 100 m vs. V150 m | NR | NR | NS R 21.1% vs, V32.6% | NS R 2.3% vs. V 10.9% |
| Gómez-Hernández et al. [15] (2024) | Retro, PSM | n = 204 (n = 146 PSM) | NR | NR | NS (30-Day) R 1.4% vs. V 0% | NS: median R 3 d vs. V 3 d | NS: median R 120 vs. V100 | NR | NR | NS R 13.3% vs. V 22.7% | NS R 4% vs, V3.1% |
| Haruki et al. [16] (2024) | Retro, PSM | n = 231 (n = 126 PSM) | NR | NR | NR | NR | R better: median R 154 m vs. V 210 m | R better: median R 10 mL vs. V 40 mL | NS | NS R 13% vs. V 17% | NR |
| Pan et al. [17] (2024) | Retro, PSM | n = 594 (n = 225 PSM) | NS (5-year) R 90.5% vs. V 87.9% | NS (5-year) R 83.4% vs. V 83.2% | NR | R better: median R 4 d vs. V 5 d | NS: average R 83.6 m vs. V 80.2 m | R better: median R 10 mL vs. V 40 mL | NS | NS R 20.0% vs. V 26.1% | NS R 2.22% vs, V 1.67% |
| Caso et al. [18] (2024) | Retro, PSM | n = 22,792 (n = 14,958 PSM) | R, V better (5-year) R 74.1%, V 73.8%, O 69.3% | NR | R, V better R, V 2.5, 2.2% vs. O 4.4% | NR | NR | NR | R better | R, V better (O; higher readmission) | NR |
| Wang et al. [19] (2024) | Retro | n = 204 | NR | NR | NR | R better: median R 4 d vs. V 5 d | R better: average R 58.6 m vs. V 66.1 m | NR | NS | R better | NR |
| Francis et al. [20] (2024) | Meta-analysis | 11 studies, n = 7280 | NR | NR | NS; trend V > O > R (R worst) | NR | NR | NR | NR | R better (V, O; higher readmission) | NR |
| Catelli et al. [21] (2025) | Retro | n = 157 | R&V better ( 5-year OS not available) | NR | O higher R 0%, V0% vs. O 6.7% | O longer R 4.9 d, V 5.2 d vs. O 6.3 d | R longer: average R 189 m vs. O&V 153 m | NR | R&O better | NS | R better R 0% vs. V 13% |
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Nishino, M.; Ujiie, H.; Ito, M.; Oiki, H.; Fukuda, S.; Nishina, M.; Ohara, S.; Hamada, A.; Chiba, M.; Takemoto, T.; et al. Refining Surgical Standards: The Role of Robotic-Assisted Segmentectomy in Early-Stage Non-Small-Cell Lung Cancer. Cancers 2025, 17, 3988. https://doi.org/10.3390/cancers17243988
Nishino M, Ujiie H, Ito M, Oiki H, Fukuda S, Nishina M, Ohara S, Hamada A, Chiba M, Takemoto T, et al. Refining Surgical Standards: The Role of Robotic-Assisted Segmentectomy in Early-Stage Non-Small-Cell Lung Cancer. Cancers. 2025; 17(24):3988. https://doi.org/10.3390/cancers17243988
Chicago/Turabian StyleNishino, Masaya, Hideki Ujiie, Masaoki Ito, Hana Oiki, Shota Fukuda, Mai Nishina, Shuta Ohara, Akira Hamada, Masato Chiba, Toshiki Takemoto, and et al. 2025. "Refining Surgical Standards: The Role of Robotic-Assisted Segmentectomy in Early-Stage Non-Small-Cell Lung Cancer" Cancers 17, no. 24: 3988. https://doi.org/10.3390/cancers17243988
APA StyleNishino, M., Ujiie, H., Ito, M., Oiki, H., Fukuda, S., Nishina, M., Ohara, S., Hamada, A., Chiba, M., Takemoto, T., & Tsutani, Y. (2025). Refining Surgical Standards: The Role of Robotic-Assisted Segmentectomy in Early-Stage Non-Small-Cell Lung Cancer. Cancers, 17(24), 3988. https://doi.org/10.3390/cancers17243988

