Next Article in Journal
Patient-Reported Social Impact of Molecularly Confirmed Macular Dystrophies and Cone–Rod Dystrophies
Previous Article in Journal
Lymphocyte-Associated Inflammation Markers Predict Bleomycin-Induced Pulmonary Toxicity in Testicular Cancer
Previous Article in Special Issue
Immunotherapy Improves Clinical Outcome in Kirsten Rat Sarcoma Virus-Mutated Patients with Unresectable Non-Small Cell Lung Cancer Stage III: A Subcohort Analysis of the Austrian Radio-Oncological Lung Cancer Study Association Registry (ALLSTAR)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Outcomes of Lobar and Sublobar Resection for Clinical Stage I Lung Neuroendocrine Tumors: An ENETS Center of Excellence Experience †

1
Department of Cardiothoracic Surgery, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
2
Neuroendocrine Tumor Unit, ENETS Centre of Excellence, Division of Internal Medicine, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
3
Department of Medical Biophysics and Nuclear Medicine, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
4
Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, 235 Euston Road, London NW1 2BU, UK
5
Department of Oncology, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
6
Department of Pathology, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
7
Department of Thoracic Surgery, Kaplan Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
*
Authors to whom correspondence should be addressed.
This study was carried out in partial fulfillment of the requirements of the Hebrew University–Hadassah Medical School in Jerusalem for the degree of Doctor of Medicine.
J. Clin. Med. 2025, 14(22), 7927; https://doi.org/10.3390/jcm14227927 (registering DOI)
Submission received: 26 September 2025 / Revised: 3 November 2025 / Accepted: 6 November 2025 / Published: 8 November 2025
(This article belongs to the Special Issue Latest Advances in Thoracic Surgery: 2nd Edition)

Abstract

Objectives: Lung neuroendocrine tumors (LNETs) are rare, comprising 1–2% of lung cancers. This study aimed to compare overall survival (OS) and recurrence-free survival (RFS) after lobar resection versus sublobar resection for LNETs and to identify factors associated with prognosis and resection extent. Methods: We retrospectively analyzed patients with clinical stage I (T ≤ 4 cm, N0M0) typical or atypical carcinoid who underwent curative resection at Hadassah Medical Center and Kaplan medical Center between 2010 and 2024. Results: Seventy patients (mean age 56.8 ± 16 years; 63% female) were included. Lobar resection was performed in 40 (57%) and sublobar resection in 30 (43%; 15 segmentectomies, 15 wedge resections). Pathology revealed 50 typical carcinoid (71.43%) and 20 atypical carcinoid (28.57%). Final pathological stage was I in 57 patients (81.42%), II in 9 (12.86%), and III in 4 (5.71%), reflecting surgical upstaging in 13 patients (18.57%), all due to nodal involvement. Atypical carcinoid was associated with worse RFS, nodal upstaging, and adjuvant therapy (all p < 0.01). Patients undergoing sublobar resection were older, had higher comorbidity scores, more frequently presented with peripheral tumors, and underwent less frequent lymph node assessment (all p < 0.01). At a median follow-up of 3.8 years for OS and 2.0 years for RFS, survival rates were 95.7% for both. Neither OS, RFS, nor postoperative normalization of plasma pro-gastrin-releasing peptide (ProGRPp) levels differed significantly between lobar resection and sublobar resection (p = 0.94, p = 0.42, and p = 0.205, respectively). Conclusions: Sublobar resection may represent an acceptable surgical option for selected patients with clinical stage I LNETs, particularly for peripheral tumors ≤ 2 cm in older or comorbid patients. The high rate of nodal upstaging underscores the need for lymph node assessment, irrespective of resection extent.

1. Introduction

Lung neuroendocrine tumors (LNETs), also referred to as pulmonary carcinoids (PCs), are rare neoplasms with an annual incidence of approximately 0.2–2 cases per 100,000 individuals in both the United States and Europe, accounting for 1–2% of all primary lung cancers and 20–25% of all neuroendocrine tumors [1]. In recent years, both the incidence and prevalence of LNETs have shown an upward trend, likely due to increased awareness, advancements in diagnostic techniques and a possible true rise in disease occurrence [2].
According to the 2021 World Health Organization (WHO) Classification of Thoracic Tumors, LNETs fall under the broader group of lung neuroendocrine neoplasms, which also includes high-grade neuroendocrine carcinomas (LNECs) [3]. LNETs comprise well-differentiated typical carcinoid (TC)—defined by <2 mitoses per 2 mm2 and absence of necrosis—accounting for 85–90% of cases, and atypical carcinoid (AC)—defined by 2–10 mitoses per 2 mm2 with focal necrosis—accounting for 10–15%. In contrast, LNECs comprise poorly differentiated small cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC), which exhibit > 10 mitoses per 2 mm2 and extensive necrosis [3]. Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH)—a rare proliferation of neuroendocrine cells within the peripheral airway mucosa—is considered a precursor lesion that may progress to LNETs [4].
Although this histologic classification implies a continuum from low- to high-grade neuroendocrine neoplasms, molecular evidence indicates that LNETs and LNECs arise from distinct oncogenic pathways, representing biologically separate entities. LNETs have a relatively low burden of chromosomal alterations and rarely harbor smoking-associated TP53 or RB1 mutations—hallmarks of high-grade LNECs [5]. Accordingly, LNETs carry a favorable prognosis, with 10-year disease-specific survival rates of 96% and 85% for stage I and II TC and 88% and 75% for stage I and II AC, respectively [6].
Given their low mutational burden and indolent growth—with tumor doubling times of approximately 2.7 years for TC and 0.9 years for AC [7]—surgical resection remains the mainstay of treatment for localized LNETs, over 80% of which present at early stages (TNM I–II) [6]. Although lobectomy has long been considered the standard approach, advances in imaging and the increasing use of cross-sectional studies have led to earlier detection of smaller, often incidental, localized tumors, prompting growing interest in sublobar resection —including both anatomical segmentectomy and wedge resection—for selected early-stage cases. This approach is further supported by evidence from two recent randomized trials in early-stage non–small cell lung cancer (NSCLC)—a biologically more aggressive disease yet serving as the basis for current staging and surgical management guidelines for LNETs—where sublobar resection achieved oncologic outcomes comparable to lobectomy [8,9].
Current clinical guidelines regarding the optimal extent of surgical resection for localized LNETs remain variable [10]. The European Society for Medical Oncology (ESMO, 2021) [6] and the European Neuroendocrine Tumor Society (ENETS, 2015) [11] favor lobectomy over segmentectomy and note that wedge resection is associated with increased recurrence—particularly in N-positive typical carcinoid (TC) or atypical carcinoid (AC). In contrast, the National Comprehensive Cancer Network (NCCN, 2021) [12] and the North American Neuroendocrine Tumor Society (NANETS, 2020) [13] endorse both lobectomy and segmentectomy as appropriate options. Furthermore, in 2020, the Commonwealth Neuroendocrine Tumour Research Collaboration (CommNETs) and NANETS jointly updated the 2015 ENETS consensus, suggesting that sublobar resection may be acceptable for peripheral TC < 2 cm, provided complete (R0) resection is achievable [14].
Historically, lymph node (LN) dissection was often omitted owing to the perceived indolent nature of LNETs; however, recent studies have demonstrated a non-negligible incidence of nodal involvement and a prognostic impact of LN assessment [15]. Nevertheless, the role and extent of LN evaluation in LNETs remain heterogeneous. ESMO 2021 [6], ENETS 2015 [11], and CommNETs/NANETS 2020 [14] advocate systematic nodal dissection, with removal of at least six nodal stations (three hilar and three mediastinal, including the subcarinal station), consistent with the European Society of Thoracic Surgeons (ESTS) recommendations for NSCLC. In contrast, NANETS 2020 [13] and NCCN 2021 [12] consider hilar or mediastinal nodal sampling acceptable.
This variability in both surgical and nodal management underscores the lack of consensus regarding optimal treatment strategies. The primary objective of this study was to compare overall survival (OS) and recurrence-free survival (RFS) in patients with clinical stage I LNETs undergoing lobar resection (LR) versus sublobar resection (SLR). Secondary objectives were to identify prognostic factors for adverse outcomes and determinants influencing the extent of resection. We hypothesized that OS would be comparable between LR and SLR, but omission of lymph node assessment would be associated with inferior survival.

2. Materials and Methods

We conducted a retrospective cohort study of patients with LNETs who underwent curative-intent resection between 2010 and 2024 at Hadassah Medical Center and Kaplan Medical Center.
Eligible patients were adults (≥18 years) with histologically confirmed typical carcinoid (TC) or atypical carcinoid (AC) and clinical stage I disease, defined as tumor size ≤4 cm without lymph node involvement or distant metastasis, according to the 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual. Patients with histologically mixed tumors (e.g., combined LNETs and non-small cell lung carcinoma), metastatic or unresectable disease at presentation, or incomplete medical records were excluded. Clinical, operative, pathological, and follow-up data were retrieved from electronic medical records. All patients underwent either lobectomy or sublobar resection (including wedge resection or segmentectomy).
Preoperative evaluation included clinical assessment, serum hematology and biochemistry, pulmonary function testing, and chest radiography, together with measurement of chromogranin A, progastrin-releasing peptide (ProGRP), and, when functional disease was suspected, additional hormonal assays. Preoperative tissue diagnosis was feasible in 53% of patients, obtained via bronchoscopy in 97% and CT-guided transthoracic biopsy for peripheral tumors in 3%. Staging included contrast-enhanced chest CT and either fluorodeoxyglucose (FDG) positron emission tomography (PET) or 68Ga-DOTATATE PET; 87% of patients underwent at least one PET modality, and 25% underwent both. All cases were reviewed at a multidisciplinary tumor board to assess surgical resectability and physical operability, defined by adequate performance status and preserved pulmonary, cardiac, renal, and hepatic function. The surgical approach—open thoracotomy versus minimally invasive video-assisted (VATS) or robot-assisted (RATS) thoracoscopic resection—was at the surgeon’s discretion, with minimally invasive techniques preferred for peripheral lesions and thoracotomy reserved for central or larger tumors.
Overall survival (OS) was calculated from the date of surgery to death from any cause, and recurrence-free survival (RFS) from the date of surgery to the first documented recurrence, with patients alive or recurrence-free censored at the date of last follow-up.
The study was approved by the Institutional Review Board of Hadassah Medical Center (IRB No. 0170-19-HMO, 31 July 2024) in accordance with the principles of the Declaration of Helsinki.

Statistical Analysis

Continuous variables were summarized as means with standard deviations when normally distributed and as medians with interquartile ranges when not. Comparisons between two independent groups were performed using the independent two-sample t-test when assumptions of normality and homogeneity of variance were met, and the Mann–Whitney U test otherwise. Categorical variables were expressed as frequencies and percentages and compared using the Chi-square test when expected cell counts were ≥5 and Fisher’s exact test when expected counts were <5.
Survival outcomes were analyzed using the Kaplan–Meier method, and differences between groups were compared with the log-rank test. All statistical tests were two-sided, and p-values < 0.05 were considered statistically significant. All statistical analyses were performed using IBM SPSS Statistics for Windows, Version 30.0 (IBM Corp., Armonk, NY, USA).

3. Results

3.1. Patient Characteristics

According to the selection criteria, 70 patients were included in the final analysis; 62 underwent surgery at Hadassah Medical Center and 8 at Kaplan Medical Center. Clinical and pathological characteristics are summarized in Table 1 and Table 2 according to tumor grade (typical vs. atypical carcinoid) and extent of resection (lobar vs. sublobar), respectively. The mean age at surgery was 56.76 ± 16 years, and the majority of patients were female (n = 44, 63%). Pathology revealed 50 typical carcinoids (71.43%) and 20 atypical carcinoids (28.57%). As expected, atypical carcinoids exhibited more aggressive features, including larger tumor size, higher Ki-67 index, lymphovascular invasion, perineural invasion, and invasion of adjacent structures (all p < 0.05). Additionally, atypical carcinoid was associated with higher rates of nodal upstaging (p < 0.01) and receipt of adjuvant therapy (p < 0.001).

3.2. Surgical Treatment

Lobar resection (LR) was performed in 40 patients (57.14%), and sublobar resection (SLR) in 30 (42.86%), including 15 segmentectomies (21.43%) and 15 wedge resections (21.43%). Compared with LR, patients undergoing SLR were older, had higher Charlson Comorbidity Index scores [16], and were more likely to have peripheral tumors (all p ≤ 0.01). Additionally, patients in SLR group were more frequently treated using minimally invasive approaches—video-assisted thoracoscopic surgery (VATS) or robot-assisted thoracoscopic surgery (RATS)—(p ≤ 0.01) and had a shorter length of hospital stay (LOS) (median [IQR], 3 [2,3] vs. 5 [4,5,6] days; p ≤ 0.01; Table 2).

3.3. Lymph Node Assessment

SLR was associated with less extensive lymph node assessment, including both hilar and mediastinal stations (all p < 0.01; Table 3). Final pathological stage was I in 57 patients (81.4%), II in 9 (12.9%), and III in 4 (5.7%), reflecting surgical upstaging in 13 patients (18.6%), all attributable to nodal involvement (Table 2). Not surprisingly, SLR was associated with lower rates of nodal upstaging compared with LR (p = 0.03; Table 2).

3.4. Survival Analysis

With a median follow-up of 3.83 years (IQR 1.71–5.44), overall survival (OS) did not differ between LR and SLR groups (p = 0.94; Figure 1). Similarly, with a median follow-up of 2.04 years (IQR 1.28–3.95), recurrence-free survival (RFS) showed no significant difference between the two groups (p = 0.42; Figure 2).

3.5. Post-Operative Plasma Progastrin-Releasing Peptide (ProGRPp)

Postoperative ProGRPp levels, a biomarker recently proposed as a measure of disease burden in LNETs [17], normalized to a similar extent in the LR and SLR groups, with median values of 41.15 pg/mL (IQR, 30.43–94.3) and 63.1 pg/mL (IQR, 59.8–84.15), respectively (p = 0.205; Figure 3). Notably, ProGRPp (normal range, 0–65 pg/mL) remained elevated in patients with pathologically confirmed diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH), despite resection of the dominant nodule, reflecting persistent disease burden.

3.6. Prognostic Factors

Univariate survival analyses using the Kaplan–Meier method with log-rank testing identified atypical carcinoid histology, presence of necrosis, elevated Ki-67 index, visceral pleural invasion, administration of adjuvant somatostatin analog (SSA) therapy, and pathological lymph node upstaging as predictors of worse RFS (all p < 0.05). In contrast, functional tumors (ACTH-secreting), high Ki-67 index, and visceral pleural invasion were associated with worse OS (all p < 0.05; Table 4).

4. Discussion

Lung neuroendocrine tumors (LNETs) are rare, accounting for 1–2% of all primary lung cancers [1], and their optimal management remains controversial [9].
In this retrospective cohort study, we compared outcomes of lobar resection (LR) and sublobar resection (SLR) in patients with clinical stage I LNETs. We found no significant differences in overall survival (OS) or recurrence-free survival (RFS) between the two approaches. To our knowledge, this is the first report to demonstrate that plasma pro-gastrin–releasing peptide (ProGRPp)—an emerging biomarker of disease burden and post-treatment surveillance [16]—normalizes to a similar extent after both LR and SLR, supporting the possible oncologic adequacy of sublobar approaches in selected patients.
This study represents the largest LNETs experience reported from Israel and the Middle East, adding geographic and demographic diversity to the body of evidence on LNETs management.
Given that approximately 80% of our cohort had N0 tumors ≤ 2 cm and that R0 resection was achieved in SLR at rates comparable to LR, our findings, in accordance with previous studies [18,19,20,21,22,23,24,25,26,27,28,29], suggest that SLR may represent an acceptable surgical alternative in selected patients with clinical stage IA–IB LNETs, particularly in older or comorbid patients unfit for more extensive surgery.
Importantly, consistent with prior reports [15,19,25,29,30,31], our findings underscore the necessity of lymph node assessment regardless of resection type. Nodal involvement is not uncommon in LNETs, occurring in 10–15% of TC and 30–60% of AC [10,29,32,33]. In our series, nodal upstaging was significantly associated with worse RFS and, as demonstrated in other studies [19,25,30,31,34], correlated with inferior OS, indicating that lymph node status is a more critical determinant of long-term outcomes than the extent of pulmonary resection.
Given the non-negligible rate of nodal involvement, comprehensive lymph node assessment should not be omitted when selecting SLR, as inadequate LN evaluation may compromise staging accuracy and prognostic validity. SLR should be reserved for cases with optimized preoperative evaluation, including FDG- and/or 68Ga-DOTATATE PET-CT and tissue diagnosis when feasible, which may aid in identifying the emerging subset of LNETs with elevated proliferation—characterized by carcinoid morphology but mitotic counts exceeding 10 per 2 mm2 and/or more extensive necrosis [35].Our study has several limitations. The retrospective design carries inherent risks of confounding, selection bias, and incomplete data. The cohorts were not fully balanced for baseline characteristics, with differences in age, comorbidity burden, and tumor location potentially influencing outcomes. The modest sample size and limited number of events, reflecting the rarity and indolent course of LNETs, further constrained statistical power and precluded advanced bias-mitigation methods. Finally, the relatively short follow-up may underestimate late recurrences, which are well recognized in this disease.

5. Conclusions

In conclusion, our findings indicate that sublobar resection may be an acceptable surgical option for selected patients with clinical stage IA–IB lung neuroendocrine tumors (LNETs), particularly those with peripheral lesions, advanced age, or significant comorbidities unsuitable for extensive resection. This approach should be employed cautiously, following comprehensive preoperative staging and adequate intraoperative lymph node assessment, given the established prognostic significance of nodal involvement.
Additional studies are warranted to validate these findings and 35better define optimal patient selection and surgical strategies through large, multi-institutional prospective cohorts, complemented by systematic reviews and meta-analyses to strengthen the evidence base for surgical management of LNETs.

Author Contributions

Conceptualization, O.W., U.I. and S.G.-G.; methodology, G.A.; software G.A.; validation, O.W.; formal analysis, R.H.; investigation, R.H., I.I. and G.P.; resources, O.W., U.I., A.B.-A., S.G.-G., S.B.-H., A.K., B.N., O.M., K.A. and G.P.; and O.M.S. data curation, O.W. and R.H.; writing—original draft preparation, R.H.; writing—review and editing, O.W. and S.G.-G.; visualization R.H.; supervision, O.W.; project administration, O.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Institutional Review Board Statement

The study was approved by the Institutional Review Board of Hadassah Medical Center (IRB No. 0170-19-HMO, 31 July 2024) in accordance with the principles of the Declaration of Helsinki.

Informed Consent Statement

Patient consent was waived as this study was a retrospective analysis based on existing clinical and pathological data. All data were de-identified prior to analysis to ensure confidentiality, and no direct patient contact occurred.

Data Availability Statement

All data relevant to this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors thank Tali Bdolah-Abram, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel, for her valuable assistance with the statistical analysis.

Conflicts of Interest

All authors declare that they have no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ACatypical carcinoid
ACTHadrenocorticotropic hormone
DIPNECHdiffuse idiopathic pulmonary neuroendocrine cell hyperplasia
LCNEClarge cell neuroendocrine carcinoma
LNEC(s)lung neuroendocrine carcinoma(s)
LNET(s)lung neuroendocrine tumor(s)
LRlobar resection
NSCLCnon–small cell lung cancer
OSoverall survival
PC(s)pulmonary carcinoid(s)
PETpositron emission tomography
ProGRPpplasma progastrin-releasing peptide
RFSrecurrence-free survival
SCLCsmall cell lung carcinoma
SLRsublobar resection
TCtypical carcinoid

References

  1. Broder, M.S.; Cai, B.; Chang, E.; Neary, M.P.; Papoyan, E. Incidence and prevalence of neuroendocrine tumors of the lung: Analysis of a US commercial insurance claims database. BMC Pulm. Med. 2018, 18, 135. [Google Scholar] [CrossRef]
  2. Modlin, I.M.; Lye, K.D.; Kidd, M. A 5-decade analysis of 13,715 carcinoid tumors. Cancer 2003, 97, 934–959. [Google Scholar] [CrossRef]
  3. World Health Organization. Classification of Tumours Editorial Board. In Thoracic Tumours, 5th ed.; International Agency for Research on Cancer: Lyon, France, 2021. [Google Scholar]
  4. Sun, T.Y.; Hwang, G.; Pancirer, D.; Hornbacker, K.; Codima, A.; Lui, N.S.; Raj, R.; Kunz, P.; Padda, S.K. Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia: Clinical characteristics and progression to carcinoid tumour. Eur. Respir. J. 2022, 59, 2101058. [Google Scholar] [CrossRef]
  5. Swarts, D.R.A.; Ramaekers, F.C.S.; Speel, E.J.M. Molecular and cellular biology of neuroendocrine lung tumors: Evidence for separate biological entities. Biochim. Biophys. Acta 2012, 1826, 255–271. [Google Scholar] [CrossRef]
  6. Baudin, E.; Caplin, M.; Garcia-Carbonero, R.; Fazio, N.; Ferolla, P.; Filosso, P.; Frilling, A.; de Herder, W.; Hörsch, D.; Knigge, U.; et al. Lung and thymic carcinoids: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2021, 32, 439–451. [Google Scholar] [CrossRef] [PubMed]
  7. Russ, D.H.; Barta, J.A.; Evans, N.R.; Stapp, R.T.; Kane, G.C. Volume Doubling Time of Pulmonary Carcinoid Tumors Measured by Computed Tomography. Clin Lung Cancer. 2022, 23, e453–e459. [Google Scholar] [CrossRef] [PubMed]
  8. 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] [PubMed]
  9. 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 2022, 399, 1607–1617. [Google Scholar] [CrossRef] [PubMed]
  10. Brascia, D.; Marulli, G. Surgical principles in the management of lung neuroendocrine tumors: Open questions and controversial technical issues. Curr. Treat. Options Oncol. 2022, 23, 1645–1663. [Google Scholar] [CrossRef]
  11. Caplin, M.E.; Baudin, E.; Ferolla, P.; Filosso, P.; Garcia-Yuste, M.; Lim, E.; Oberg, K.; Pelosi, G.; Perren, A.; Rossi, R.E.; et al. Pulmonary neuroendocrine (carcinoid) tumors: European Neuroendocrine Tumor Society expert consensus and recommendations for best practice for typical and atypical pulmonary carcinoids. Ann. Oncol. 2015, 26, 1604–1620. [Google Scholar] [CrossRef]
  12. Shah, M.H.; Goldner, W.S.; Benson, A.B.; Bergsland, E.; Blaszkowsky, L.S.; Brock, P.; Chan, J.; Das, S.; Dickson, P.V.; Fanta, P.; et al. Neuroendocrine and Adrenal Tumors, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology. J. Natl. Compr. Canc Netw. 2021, 19, 839–868. [Google Scholar] [CrossRef]
  13. Halfdanarson, T.R.; Strosberg, J.R.; Tang, L.; Bellizzi, A.M.; Bergsland, E.K.; O’DOrisio, T.M.; Halperin, D.M.; Fishbein, L.; Eads, J.; Hope, T.A.; et al. The North American Neuroendocrine Tumor Society Consensus Guidelines for Surveillance and Medical Management of Pancreatic Neuroendocrine Tumors. Pancreas 2020, 49, 863–881. [Google Scholar] [CrossRef]
  14. Singh, S.; Bergsland, E.K.; Card, C.M.; Hope, T.A.; Kunz, P.L.; Laidley, D.T.; Lawrence, B.; Leyden, S.; Metz, D.C.; Michael, M.; et al. Commonwealth Neuroendocrine Tumour Research Collaboration and the North American Neuroendocrine Tumor Society Guidelines for the Diagnosis and Management of Patients With Lung Neuroendocrine Tumors: An International Collaborative Endorsement and Update of the 2015 European Neuroendocrine Tumor Society Expert Consensus Guidelines. J Thorac Oncol. 2020, 15, 1577–1598. [Google Scholar] [CrossRef]
  15. Kneuertz, P.J.; Kamel, M.K.; Stiles, B.M.; Lee, B.E.; Rahouma, M.; Harrison, S.W.; Altorki, N.K.; Port, J.L. Incidence and Prognostic Significance of Carcinoid Lymph Node Metastases. Ann. Thorac. Surg. 2018, 106, 981–988. [Google Scholar] [CrossRef] [PubMed]
  16. Charlson, M.E.; Carrozzino, D.; Guidi, J.; Patierno, C. Charlson Comorbidity Index: A Critical Review of Clinimetric Properties. Psychother. Psychosom. 2022, 91, 8–35. [Google Scholar] [CrossRef] [PubMed]
  17. Nisman, B.; Oleinikov, K.; Nechushtan, H.; Maimon, O.; Atlan, K.; Peled, N.; Gross, D.; Peretz, T.; Meirovitz, A.; Grozinsky-Glasberg, S. Plasma Progastrin-Releasing Peptide and Chromogranin A Assays for Diagnosing and Monitoring Lung Well-Differentiated Neuroendocrine Tumors: A Brief Report. J. Thorac. Oncol. 2023, 18, 369–376. [Google Scholar] [CrossRef] [PubMed]
  18. Qi, W.; Wang, Z.; Zhang, M. Segmentectomy and wedge resection are equivalent for the treatment of early-stage pulmonary carcinoid tumors: A retrospective cohort study. Sci. Rep. 2024, 14, 17742. [Google Scholar] [CrossRef]
  19. Ernani, V.; Appiah, A.K.; Rodriguez, D.; Kusne, Y.; Beamer, S.E.; Ravanbakhsh, S.; Jaroszewski, D.; dos Santos, P.R.; Sio, T.T.; Yu, N.; et al. Lobar versus sublobar resection for atypical lung carcinoid: An analysis from the National Cancer Database. Cancer 2023, 129, 860–866. [Google Scholar] [CrossRef]
  20. Xu, S.; Li, X.; Ren, F.; He, J.; Zhao, S.; Wang, Y.; Ren, D.; Zhu, S.; Lei, X.; Chen, G.; et al. Sublobar Resection Versus Lobectomy for Early-Stage Pulmonary Carcinoid Tumors ≤ 3 cm in Size: A SEER Population-Based Study. Ann. Surg. 2022, 276, e991–e999. [Google Scholar] [CrossRef]
  21. Yang, H.; Xiao, X.; Mei, T.; Zhou, P. Long-term survival analysis of sublobar resection versus lobectomy for older patients with early-stage pulmonary carcinoid tumour: A database-based propensity score-matched study. Aging Clin. Exp. Res. 2022, 34, 1925–1934. [Google Scholar] [CrossRef]
  22. Yang, H.; Mei, T. Sublobar resection versus lobectomy for patients with stage T1-2N0M0 pulmonary typical carcinoid tumours: A population-based propensity score matching analysis. Interact. Cardiovasc. Thorac. Surg. 2022, 35, ivac125. [Google Scholar] [CrossRef] [PubMed]
  23. Cattoni, M.; Vallières, E.; Brown, L.M.; Sarkeshik, A.A.; Margaritora, S.; Siciliani, A.; Filosso, P.L.; Guerrera, F.; Imperatori, A.; Rotolo, N.; et al. Sublobar Resection in the Treatment of Peripheral Typical Carcinoid Tumors of the Lung. Ann. Thorac. Surg. 2019, 108, 859–865. [Google Scholar] [CrossRef] [PubMed]
  24. Yan, T.; Wang, K.; Liu, J.; Zeng, Y.; Bie, F.; Wang, G.; Du, J. Wedge resection is equal to segmental resection for pulmonary typical carcinoid patients at localized stage: A population-based analysis. PeerJ 2019, 7, e7519. [Google Scholar] [CrossRef]
  25. Brown, L.M.; Cooke, D.T.; Jett, J.R.; David, E.A. Extent of Resection and Lymph Node Assessment for Clinical Stage T1aN0M0 Typical Carcinoid Tumors. Ann. Thorac. Surg. 2018, 105, 207–213. [Google Scholar] [CrossRef]
  26. Furqan, M.; Tien, Y.-Y.; Schroeder, M.C.; Parekh, K.R.; Keech, J.; Allen, B.G.; Thomas, A.; Zhang, J.; Clamon, G.; Abu Hejleh, T. Lobar versus sub-lobar surgery for pulmonary typical carcinoid, a population-based analysis. J. Thorac. Dis. 2018, 10, 5850–5859. [Google Scholar] [CrossRef]
  27. Fox, M.; Van Berkel, V.; Bousamra, M.; Sloan, S.; Martin, R.C., 2nd. Surgical management of pulmonary carcinoid tumors: Sublobar resection versus lobectomy. Am. J. Surg. 2013, 205, 200–208. [Google Scholar] [CrossRef]
  28. Yendamuri, S.; Gold, D.; Jayaprakash, V.; Dexter, E.; Nwogu, C.; Demmy, T. Is sublobar resection sufficient for carcinoid tumors? Ann. Thorac. Surg. 2011, 92, 1774–1779. [Google Scholar] [CrossRef] [PubMed]
  29. Steuer, C.E.; Behera, M.; Kim, S.; Chen, Z.; Saba, N.F.; Pillai, R.N.; Owonikoko, T.K.; Khuri, F.R.; Ramalingam, S.S. Atypical carcinoid tumor of the lung: A surveillance, epidemiology, and end results database analysis. J. Thorac. Oncol. 2015, 10, 479–485. [Google Scholar] [CrossRef]
  30. Chen, X.; Pang, Z.; Wang, Y.; Bie, F.; Zeng, Y.; Wang, G.; Du, J. The role of surgery for atypical bronchopulmonary carcinoid tumor: Development and validation of a model based on Surveillance, Epidemiology, and End Results (SEER) database. Lung Cancer 2020, 139, 94–102. [Google Scholar] [CrossRef]
  31. Cañizares, M.A.; Matilla, J.M.; Cueto, A.; Algar, J.; Muguruza, I.; Moreno-Mata, N.; Moreno-Balsalobre, R.; Guijarro, R.; Arrabal, R.; Garcia-Fontan, E.; et al. Atypical carcinoid tumours of the lung: Prognostic factors and patterns of recurrence. Thorax 2014, 69, 648–653. [Google Scholar] [CrossRef]
  32. Fink, G.; Krelbaum, T.; Yellin, A.; Bendayan, D.; Saute, M.; Glazer, M.; Kramer, M.R. Pulmonary carcinoid: Presentation, diagnosis, and outcome in 142 cases in Israel and review of 640 cases from the literature. Chest 2001, 119, 1647–1651. [Google Scholar] [CrossRef] [PubMed]
  33. Cardillo, G.; Sera, F.; Di Martino, M.; Graziano, P.; Giunti, R.; Carbone, L.; Facciolo, F.; Martelli, M. Bronchial carcinoid tumors: Nodal status and long-term survival after resection. Ann. Thorac. Surg. 2004, 77, 1781–1785. [Google Scholar] [CrossRef] [PubMed]
  34. García-Yuste, M.; Matilla, J.M.; Cueto, A.; Paniagua, J.M.R.; Ramos, G.; Cañizares, M.A.; Muguruza, I. Typical and atypical carcinoid tumours: Analysis of the experience of the Spanish Multi-centric Study of Neuroendocrine Tumours of the Lung. Eur. J. Cardiothorac. Surg. 2007, 31, 192–197. [Google Scholar] [CrossRef] [PubMed]
  35. Metovic, J.; Barella, M.; Pelosi, G. Neuroendocrine neoplasms of the lung: A pathology update. Memo 2021, 14, 381–385. [Google Scholar] [CrossRef]
Figure 1. Kaplan–Meier estimate of overall survival (OS) in patients with clinical stage I lung neuroendocrine tumors undergoing lobar resection or sublobar resection.
Figure 1. Kaplan–Meier estimate of overall survival (OS) in patients with clinical stage I lung neuroendocrine tumors undergoing lobar resection or sublobar resection.
Jcm 14 07927 g001
Figure 2. Kaplan–Meier estimate of recurrence-free survival (RFS) in patients with clinical stage I lung neuroendocrine tumors undergoing lobar resection or sublobar resection.
Figure 2. Kaplan–Meier estimate of recurrence-free survival (RFS) in patients with clinical stage I lung neuroendocrine tumors undergoing lobar resection or sublobar resection.
Jcm 14 07927 g002
Figure 3. Postoperative ProGRPp (Plasma Progastrin-Releasing Peptide) levels in patients with clinical stage I lung neuroendocrine tumors undergoing lobar resection (LR) or sublobar resection (SLR).
Figure 3. Postoperative ProGRPp (Plasma Progastrin-Releasing Peptide) levels in patients with clinical stage I lung neuroendocrine tumors undergoing lobar resection (LR) or sublobar resection (SLR).
Jcm 14 07927 g003
Table 1. Baseline characteristics stratified by tumor grade (Typical vs. Atypical Carcinoid).
Table 1. Baseline characteristics stratified by tumor grade (Typical vs. Atypical Carcinoid).
ParameterTotal (n = 70)Typical (n = 50)Atypical (n = 20)p-Value
Demographics and Clinical Features
Sex (F/M, % F)44/26 (63%)30/20 (60%)14/6 (70%)0.43
Age (years), mean ± SD56.76 ± 1657.50 ± 15.8055 ± 17.100.51
CCI, median (IQR)2 (1–4)2 (0.75–4.00)2.50 (1.00–3.75)0.80
Preoperative FEV1 (% predicted), median (IQR)92 (80–99)92 (80–99)88 (81.50–101)0.86
Smoking *22 (35.48%)14 (28%)8 (40%)0.33
Previous malignancy19 (32.25%)14 (32%)5 (28%)0.80
Tumor location (C/P, % C)25/45 (35.71%)20/30 (40%)5/15 (25%)0.94
Functional tumor **3 (4.29%)2 (4%)1 (5%)1.00
Minimally invasive approach ***33 (47.14%)22 (44%)11 (55%)0.40
LOS (days), median (IQR)4 (3–5)4 (3–5)5 (3–6)0.78
30-day mortality1 (1.43%)1 (2%)01.00
Adjuvant therapy (SSA) 16 (22.86%)5 (10%)11 (55%)<0.001
Nuclear Imaging
FDG SUVmax, median (IQR)2.96 (2–4.40)2.78 (2–3.49)4.35 (2.62–5.42)0.08
68Ga-DOTATATE SUVmax, median (IQR)9.10 (1.80–34.06)12.20 (2.38–30.10)2.00 (0–44.81)0.59
Type of Surgery 0.07
Lobectomy40 (57.14%)25 (50%)15 (75%)
Sublobar resection30 (42.86%)25 (50%)5 (25%)
Segmentectomy15 (21.43%)13 (26%)2 (10%)
Wedge resection15 (21.43%)12 (24%)3 (15%)
Pathological Parameters
Mitotic index (per 2 mm2), mean ± SD1.47 ± 1.950.67 ± 0.603.47 ± 2.66<0.001
Necrosis15 (22.73%)015 (75%)<0.001
Ki-67 index (%), mean ± SD4.62 ± 4.802.36 ± 1.729.94 ± 5.54<0.001
DIPNECH17 (24.29%)12 (24%)5 (26%)1.00
Lymphovascular invasion14 (21.21%)6 (13%)8 (40%)0.02
Perineural invasion8 (12.70%)3 (7%)5 (28%)0.04
Visceral pleural invasion3 (4.55%)1 (2%)2 (10%)0.19
Direct invasion of adjacent structures7 (10.61%)2 (4%)5 (25%)0.02
Margins (R0/R1, %R0)63/5 (92.65%)45/3 (93.75%)18/2 (90%)0.62
Clinical Staging
T category 0.04
T1a (≤1 cm)15 (21.43%)12 (24%)3 (15%)
T1b (>1 but ≤2 cm)41 (58.57%)32 (64%)9 (45%)
T1c (>2 but ≤3 cm)11 (15.71%)4 (8%)7 (35%)
T2a (>3 but ≤4 cm)3 (4.29%)2 (4%)1 (5%)
T2b–T4 (>4 cm)000
N category
N069 (98.57%)49 (98%)20 (100%)
N1–N3000
Nx1 (1.43%)1 (2%)0
M category
M070 (100%)50 (100%)20 (100%)
M1000
Clinical Stage ****
Stage I70 (100%)50 (100%)20 (100%)
Stage II–IV000
Pathological Staging
T category <0.01
T1a (≤1 cm)15 (21.43%)13 (26%)2 (10%)
T1b (>1 but ≤2 cm)34 (48.57%)27 (54%)7 (35%)
T1c (>2 but ≤3 cm)13 (18.57%)4 (8%)9 (45%)
T2a (>3 but ≤4 cm)8 (11.43%)6 (12%)2 (10%)
T2b–T4 (>4 cm)000
N category <0.01
N050 (71.43%)40 (80%)10 (50%)
N111 (15.71%)3 (6%)8 (40%)
N22 (2.86%)1 (2%)1 (5%)
N3000
Nx7 (10%)6 (12%)1 (5%)
Pathological Stage **** 0.01
Stage I57 (81.43%)45 (90%)12 (60%)
Stage II9 (12.86%)4 (8%)5 (25%)
Stage III4 (5.71%)1 (2%)3 (15%)
Stage IV000
LN Assessment and Upstaging
LN assessment *****63 (90%)45 (90%)18 (90%)1.00
Pathologic upstaging13 (18.57%)5 (10%)8 (40%)<0.01
LN upstaging13 (18.57%)5 (10%)8 (40%)<0.01
* Functional tumors: all functional cases were ACTH–producing. ** Smoking: includes current and former smokers. *** Minimally invasive approach: includes VATS and RATS. **** Best available staging—when Nx, N0 was assumed. ***** Including lymph node dissection, sampling or unknown type of lymph node assessment. Abbreviations: ACTH = adrenocorticotropic hormone; CCI = Charlson Comorbidity Index; DIPNECH = diffuse idiopathic pulmonary neuroendocrine cell hyperplasia; FDG = 18F-fluorodeoxyglucose; 68Ga-DOTATATE = gallium-68-DOTA-Tyr3-Thre8-octreotide; FEV1 = forced expiratory volume in one second; F/M = female/male; IQR = interquartile range; LN = lymph node; LOS = length of hospital stay; RATS = robot-assisted thoracic surgery; R0/R1 = negative/positive resection margin; SD = standard deviation; SSA = somatostatin analog; SUVmax = maximum standardized uptake value; VATS = video-assisted thoracoscopic surgery; Tumor location (C/P, % C) = central/peripheral, % central.
Table 2. Baseline characteristics stratified by type of surgical resection (LR vs. SLR).
Table 2. Baseline characteristics stratified by type of surgical resection (LR vs. SLR).
ParameterTotal (n = 70)Lobar (n = 40)Sublobar (n = 30)p-Value
Demographics and Clinical Features
Sex (F/M, % F)44/26 (63%)21/19 (52.50%)23/7 (76.67%)0.07
Age (years), mean ± SD56.76 ± 1650.58 ± 17.2064.50 ± 9.72<0.001
CCI, median (IQR)2 (1–4)1.50 (0–4)3 (2–4.75)<0.01
Preoperative FEV1 (% predicted), median (IQR)92 (80–99)92 (79.50–97)92 (85–99)0.81
Smoking *22 (35.48%)14 (38.89%)8 (30.77%)0.70
Previous malignancy19 (32.25%)8 (22.22%)11 (42.30%)0.16
Tumor location (C/P, % C)25/45 (35.71%)21/19 (52.50%)4/26 (13.33%)<0.001
Functional tumor **3 (4.29%)1 (2.50%)2 (6.67%)0.57
Minimally invasive approach ***33 (47.14%)13 (32.50%)20 (66.67%)0.01
LOS (days), median (IQR)4 (3–5)5 (4–6)3 (2–3)<0.01
30-day mortality1 (1.43%)01 (3.33%)0.43
Adjuvant therapy (SSA) 16 (22.86%)10 (25%)6 (20%)0.78
Nuclear Imaging
FDG SUVmax, median (IQR)2.96 (2–4.40)3.10 (2.50–5)2.80 (2–4.25)0.46
68Ga-DOTATATE SUVmax, median (IQR)9.10 (1.80–34.06)24.75 ± 30.1013.45 ± 15.470.31
Pathological Parameters
Typical/atypical (% typical)50/20 (71.43%)25/15 (62.50%)25/5 (83.33%)0.10
Mitotic index (per 2 mm2), mean ± SD1.47 ± 1.951.58 ± 1.921.33 ± 2.010.94
Necrosis15 (22.73%)11 (28.94%)4 (14.29%)0.24
Ki-67 index (%), mean ± SD4.62 ± 4.805.17 ± 5.193.86 ± 4.170.17
DIPNECH17 (24.29%)6 (15%)11 (36.67%)0.20
Lymphovascular invasion14 (21.21%)9 (23.68%)5 (17.86%)0.76
Perineural invasion8 (12.70%)7 (20%)1 (3.57%)0.13
Visceral pleural invasion3 (4.55%)2 (5.41%)1 (3.45%)1.00
Direct invasion of adjacent structures7 (10.61%)6 (16.22%)1 (3.45%)0.23
Margins (R0/R1, %R0)63/5 (92.65%)35/4 (89.74%)28/1 (96.55%)0.62
Clinical Staging
T category 0.16
T1a (≤1 cm)15 (21.43%)6 (15%)9 (30%)
T1b (>1 but ≤2 cm)41 (58.57%)23 (57.50%)18 (60%)
T1c (>2 but ≤3 cm)11 (15.71%)8 (20%)3 (10%)
T2a (>3 but ≤4 cm)3 (4.29%)3 (7.50%)0
T2b–T4 (>4 cm)000
N category
N069 (98.57%)40 (100%)29 (96.67%)
N1–N3000
Nx1 (1.43%)01 (3.33%)
M category
M070 (100%)40 (100%)30 (100%)
M1000
Clinical Stage ****
Stage I70 (100%)40 (100%)30 (100%)
Stage II–IV000
Pathological Staging
T category 0.16
T1a (≤1 cm)15 (21.43%)6 (15%)9 (30%)
T1b (>1 but ≤2 cm)34 (48.57%)18 (45%)16 (53.33%)
T1c (>2 but ≤3 cm)13 (18.57%)10 (25%)3 (10%)
T2a (>3 but ≤4 cm)8 (11.43%)6 (15%)2 (6.67%)
T2b–T4 (>4 cm)000
N category <0.01
N050 (71.43%)29 (72.50%)21 (70%)
N111 (15.71%)10 (25%)1 (3.33%)
N22 (2.86%)1 (2.50%)1 (3.33%)
N3000
Nx7 (10%)07 (23.33%)
Pathological Stage **** 0.08
Stage I57 (81.43%)29 (72.50%)28 (93.33%)
Stage II9 (12.86%)8 (20%)1 (3.33%)
Stage III4 (5.71%)3 (7.50%)1 (3.33%)
Stage IV000
LN Assessment and Upstaging
LN assessment *****63 (90%)40 (100%)23 (76.67%)<0.01
Pathologic upstaging13 (18.57%)11 (27.50%)2 (6.67%)0.03
LN upstaging13 (18.57%)11 (27.50%)2 (6.67%)0.03
* Functional tumors: all functional cases were ACTH–producing. ** Smoking: includes current and former smokers. *** Minimally invasive approach: includes VATS and RATS. **** Best available staging—when Nx, N0 was assumed ***** Including lymph node dissection, sampling or unknown type of lymph node assessment Abbreviations: ACTH = adrenocorticotropic hormone; CCI = Charlson Comorbidity Index; DIPNECH = diffuse idiopathic pulmonary neuroendocrine cell hyperplasia; FDG = 18F-fluorodeoxyglucose; 68Ga-DOTATATE = gallium-68-DOTA-Tyr3-Thre8-octreotide; FEV1 = forced expiratory volume in one second; F/M = female/male; IQR = interquartile range; LN = lymph node; LOS = length of hospital stay; RATS = robot-assisted thoracic surgery; R0/R1 = negative/positive resection margin; SD = standard deviation; SSA = somatostatin analog; SUVmax = maximum standardized uptake value; VATS = video-assisted thoracoscopic surgery; Tumor location (C/P, % C) = central/peripheral, % central.
Table 3. Extent of Lymph Node Assessment by Resection Type.
Table 3. Extent of Lymph Node Assessment by Resection Type.
LN Assessed *Total (n = 70)Lobar (n = 40)Sublobar (n = 30)p-Value
Hilar LN assessed (N1)
Median (IQR)
2.5 (1–5)4 (2–6.5)2 (0–3)<0.001
Mediastinal LN assessed (N2)
Median (IQR)
1 (0–3)2 (0–4)0 (0–1)<0.01
Total LN assessed <0.001
07 (10%)0 (0%)7 (23.3%)
1–9 LN42 (60%)23 (57.5%)19 (63.3%)
≥10 LN13 (18.6%)12 (30%)1 (3.3%)
Not quantified8 (11.4%)5 (12.5%)3 (10%)
Median (IQR)4 (2–8.8)6 (3.5–11.5)2 (0.5–4)<0.001
* When fragmented nodal tissue was reported, the minimal possible number of LN (one) was assumed. Abbreviations: LN = lymph node; IQR = interquartile range.
Table 4. Univariate analysis of factors affecting OS and RFS 1.
Table 4. Univariate analysis of factors affecting OS and RFS 1.
PredictorOS (p-Value)RFS (p-Value)
Clinical variables
Sex0.7140.678
Age0.2660.324
CCI 0.9070.147
Preoperative FEV1 (%)0.7750.075
Smoking (ever 2 vs. never)0.3660.420
Previous malignancy0.4580.122
Tumor Location (central/peripheral)0.9600.575
Clinical tumor size (>2 cm vs. ≤2 cm)0.3510.307
Surgical approach (thoracotomy vs. VATS/RATS)0.8160.969
Extent of resection (lobar/sub-lobar)0.9400.420
PET 18F-FDG SUVmax0.1830.963
PET 68Ga-DOTATATE SUVmax0.5910.382
Adjuvant therapy (SSA)0.4590.003
Functional tumor 3<0.0010.781
Pathologic features
Histologic grade (typical/atypical)0.5480.002
Necrosis0.3960.001
Ki-67 index (%)0.0320.002
DIPNECH0.4340.861
Lymphovascular invasion0.3360.305
Perineural invasion0.7030.518
Visceral pleural invasion0.006<0.001
Resection margin status (R0 vs. R1)0.7390.712
LN assessment 0.4640.438
Pathologic upstaging0.4670.049
Nodal upstaging0.4670.049
Abbreviations: OS—overall survival; RFS—recurrence-free survival; CCI—Charlson Comorbidity Index; FEV1—forced expiratory volume in 1 s; VATS—video-assisted thoracoscopic surgery; RATS—robot-assisted thoracic surgery; PET—positron emission tomography; FDG—fluorodeoxyglucose; 68Ga-DOTATATE—gallium-68 DOTA-Tyr3-Thre8-octreotide; DIPNECH—diffuse idiopathic pulmonary neuroendocrine cell hyperplasia; LN—lymph node; SSA—somatostatin analog. Charlson Comorbidity Index (CCI). 1 Analyses were performed using the Kaplan–Meier method and log-rank test. 2 Ever-smokers: includes current and former smokers. 3 Functional tumors: All functional cases were adrenocorticotropic hormone (ACTH)-producing.
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.

Share and Cite

MDPI and ACS Style

Hojerat, R.; Idais, I.; Aviel, G.; Bel-Ange, A.; Grozinsky-Glasberg, S.; Ben-Haim, S.; Nisman, B.; Maimon, O.; Atlan, K.; Shapira, O.M.; et al. Outcomes of Lobar and Sublobar Resection for Clinical Stage I Lung Neuroendocrine Tumors: An ENETS Center of Excellence Experience. J. Clin. Med. 2025, 14, 7927. https://doi.org/10.3390/jcm14227927

AMA Style

Hojerat R, Idais I, Aviel G, Bel-Ange A, Grozinsky-Glasberg S, Ben-Haim S, Nisman B, Maimon O, Atlan K, Shapira OM, et al. Outcomes of Lobar and Sublobar Resection for Clinical Stage I Lung Neuroendocrine Tumors: An ENETS Center of Excellence Experience. Journal of Clinical Medicine. 2025; 14(22):7927. https://doi.org/10.3390/jcm14227927

Chicago/Turabian Style

Hojerat, Ranin, Islam Idais, Gal Aviel, Anat Bel-Ange, Simona Grozinsky-Glasberg, Simona Ben-Haim, Benjamin Nisman, Ofra Maimon, Karine Atlan, Oz M. Shapira, and et al. 2025. "Outcomes of Lobar and Sublobar Resection for Clinical Stage I Lung Neuroendocrine Tumors: An ENETS Center of Excellence Experience" Journal of Clinical Medicine 14, no. 22: 7927. https://doi.org/10.3390/jcm14227927

APA Style

Hojerat, R., Idais, I., Aviel, G., Bel-Ange, A., Grozinsky-Glasberg, S., Ben-Haim, S., Nisman, B., Maimon, O., Atlan, K., Shapira, O. M., Korach, A., Izhar, U., Pines, G., & Wald, O. (2025). Outcomes of Lobar and Sublobar Resection for Clinical Stage I Lung Neuroendocrine Tumors: An ENETS Center of Excellence Experience. Journal of Clinical Medicine, 14(22), 7927. https://doi.org/10.3390/jcm14227927

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop