Comparison of Lobectomy and Sublobar Resection for Stage IA Elderly NSCLC Patients (≥70 Years): A Population-Based Propensity Score Matching's Study

Segmentectomy versus lobectomy in younger patients with early-stage non-small cell lung cancer

OBJECTIVES

Despite clinical trials supporting the efficacy of segmentectomy for early-stage non-small cell lung cancer (NSCLC), a previous report indicated its limited efficacy in younger patients, raising concerns about its indication.

METHODS

Patients aged <70 years with radiologically solid-dominant clinical stage IA NSCLC ≤2 cm who underwent lobectomy or segmentectomy at three institutions between 2010 and 2017 were enrolled. Propensity scores were estimated to adjust for confounding variables (age, sex, smoking history, tumour location, size, ground-glass opacity, maximum standardized uptake value and histological type). To elucidate the prognostic impact of surgical indications in the late postoperative phase, restricted mean survival time (RMST) from 0 to 5 and 8 years was also determined.

RESULTS

Overall, 388 patients with a median age of 63 years were enrolled. Overall survival (OS) (hazard ratio [HR], 0.447; 95% confidence interval [CI], 0.152-1.316) and recurrence-free survival (RFS) (HR, 0.638; 95% CI, 0.335-1.216) did not differ significantly between the segmentectomy (n = 114) and lobectomy groups (n = 274). In the propensity score matching of 100 pairs, OS (HR, 0.577; 95% CI, 0.162-2.056) and RFS (HR, 0.945; 95% CI, 0.408-2.191) were comparable between the segmentectomy and lobectomy groups. Regarding OS in the segmentectomy and lobectomy groups, the 5- and 8-year RMST were 4.95 years versus 4.92 years (difference: 0.02 years; 95% CI, -0.09-0.13; P = 0.699) and 7.82 years versus 7.69 years (difference: 0.12 years; 95% CI, -0.17-0.42; P = 0.420), respectively.

CONCLUSIONS

Segmentectomy is a viable option for younger patients with early-stage NSCLC, suggesting that indications for segmentectomy need not vary by age.

A CT-based deep learning model for preoperative prediction of spread through air spaces in clinical stage I lung adenocarcinoma

Objective

To develop and validate a deep learning signature for noninvasive prediction of spread through air spaces (STAS) in clinical stage I lung adenocarcinoma and compare its predictive performance with conventional clinical-semantic model.

Methods

A total of 513 patients with pathologically-confirmed stage I lung adenocarcinoma were retrospectively enrolled and were divided into training cohort (n = 386) and independent validation cohort (n = 127) according to different center. Clinicopathological data were collected and CT semantic features were evaluated. Multivariate logistic regression analyses were conducted to construct a clinical-semantic model predictive of STAS. The Swin Transformer architecture was adopted to develop a deep learning signature predictive of STAS. Model performance was assessed using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, positive and negative predictive value, and calibration curve. AUC comparisons were performed by the DeLong test.

Results

The proposed deep learning signature achieved an AUC of 0.869 (95% CI: 0.831, 0.901) in training cohort and 0.837 (95% CI: 0.831, 0.901) in validation cohort, surpassing clinical-semantic model both in training and validation cohort (all P<0.01). Calibration curves demonstrated good agreement between STAS predicted probabilities using deep learning signature and actual observed probabilities in both cohorts. The inclusion of all clinical-semantic risk predictors failed to show an incremental value with respect to deep learning signature.

Conclusions

The proposed deep learning signature based on Swin Transformer achieved a promising performance in predicting STAS in clinical stage I lung adenocarcinoma, thereby offering information in directing surgical strategy and facilitating adjuvant therapeutic scheduling.

Treatment strategies for stage IA non-small cell lung cancer: A SEER-based population study

BACKGROUND

There are various therapeutic methods for treating stage IA (T1N0M0) non-small cell lung cancer (NSCLC), but no studies have systematically assessed multiple treatments to determine the most effective therapy.

METHODS

Stage IA NSCLC patient data collected between 2004 and 2018 were gathered from the Surveillance, Epidemiology, and End Results (SEER) database. Treatment modalities included observation, chemotherapy alone (CA), radiation alone (RA), radiation+chemotherapy (RC), surgery alone (SA), surgery+chemotherapy (SC), surgery+radiation (SR) and surgery+radiation+chemotherapy (SRC). Comparisons were made of overall survival (OS) and lung cancer-specific survival (LCSS) among patients based on different therapeutic methods by survival analysis.

RESULTS

Ultimately, 89147 patients with stage IA NSCLC between 2004 and 2018 were enrolled in this study. The order of multiple treatment modalities based on the hazard ratio (HR) for OS for the entire cohort revealed the following results: SA (HR: 0.20), SC (HR: 0.25), SR (HR: 0.42), SRC (HR: 0.46), RA (HR: 0.56), RC (HR: 0.72), CA (HR: 0.91) (P<0.001), and observation (HR: Ref). The SA group had the best OS and LCSS, and similar results were found in most subgroup analyses (all P<0.001). The order of surgical modalities based on the HR for OS for the entire cohort revealed the following results: lobectomy (HR: 0.32), segmentectomy (HR: 0.41), wedge resection (HR: 0.52) and local tumor destruction (HR: Ref). Lobectomy had the best effects on OS and LCSS, and similar results were found in all subgroup analyses (all P<0.001).

CONCLUSION

SA appeared to be the optimal treatment modality for patients with stage IA NSCLC, and lobectomy was associated with the best prognosis. There may be some indication and selection bias in our study, and the results of this study should be confirmed in a prospective study.

The Role of Sublobar Resection for the Surgical Treatment of Non-Small Cell Lung Cancer

Lung cancer is the most common cancer killer in the world. The standard of care for surgical treatment of non-small cell lung cancer has been lobectomy. Recent studies have identified that sublobar resection has non-inferior survival rates compared to lobectomy, however. Sublobar resection may increase the number of patients who can tolerate surgery and reduce postoperative pulmonary decline. Sublobar resection appears to have equivalent results to surgery in patients with small, peripheral tumors and no lymph node disease. As the utilization of segmentectomy increases, there may be some centers that perform this operation more than other centers. Care must be taken to ensure that all patients have access to this modality. Future investigations should focus on examining the outcomes from segmentectomy as it is applied more widely. When employed on a broad scale, morbidity and survival rates should be monitored. As segmentectomy is performed more frequently, patients may experience improved postoperative quality of life while maintaining the same oncologic benefit.

Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model

OBJECTIVE

To develop and validate a deep learning (DL) signature for predicting lymph node (LN) metastasis in patients with lung adenocarcinoma.

METHODS

A total of 612 patients with pathologically-confirmed lung adenocarcinoma were retrospectively enrolled and were randomly divided into training cohort (n = 489) and internal validation cohort (n = 123). Besides, 108 patients were enrolled and constituted an independent test cohort (n = 108). Patients' clinical characteristics and CT semantic features were collected. The radiomics features were derived from contrast-enhanced CT images. The clinical-semantic model and radiomics signature were built to predict LN metastasis. Furthermore, Swin Transformer was adopted to develop a DL signature predictive of LN metastasis. Model performance was evaluated by area under the receiver operating characteristic curve (AUC), sensitivity, specificity, calibration curve, and decision curve analysis. The comparisons of AUC were conducted by the DeLong test.

RESULTS

The proposed DL signature yielded an AUC of 0.948-0.961 across all three cohorts, significantly superior to both clinical-semantic model and radiomics signature (all p < 0.05). The calibration curves show that DL signature predicted probabilities fit well the actual observed probabilities of LN metastasis. DL signature gained a higher net benefit than both clinical-semantic model and radiomics signature. The incorporation of radiomics signature or clinical-semantic risk predictors failed to reveal an incremental value over the DL signature.

CONCLUSIONS

The proposed DL signature based on Swin Transformer achieved a promising performance in predicting LN metastasis and could confer important information in noninvasive mediastinal LN staging and individualized therapeutic options.

KEY POINTS

• Accurate prediction for lymph node metastasis is crucial to formulate individualized therapeutic options for patients with lung adenocarcinoma. • The deep learning signature yielded an AUC of 0.948-0.961 across all three cohorts in predicting lymph node metastasis, superior to both radiomics signature and clinical-semantic model. • The incorporation of radiomics signature or clinical-semantic risk predictors into deep learning signature failed to reveal an incremental value over deep learning signature.

Risk factors for postoperative cerebral infarction in patients after lung resection: a single-center case-control study

Background

Patients who undergo lung resection are at risk of postoperative cerebral infarction, but the risk factors remain unclear, so the present study was a comprehensive investigation in patients who underwent lung resection for pulmonary nodules.

Methods

The clinical characteristics of patients with postoperative cerebral infarction and patients who underwent lung resection on the same day but did not develop cerebral infarction were retrospectively compared. Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors for cerebral infarction after lung resection.

Results

A total of 22 patients with postoperative cerebral infarction and 316 controls were included. Multivariate logistic regression analysis revealed that a history of cerebral infarction [odds ratio (OR), 7.289; P=0.030], activated partial thromboplastin time (APTT) <26.5 s (OR, 3.704; P=0.018), body mass index (BMI) ≥24.0 kg/m2 (OR, 3.656; P=0.015), and surgical method (P=0.005) were independent risk factors for cerebral infarction after lung resection. Compared with patients undergoing lobectomy, the risk for postoperative cerebral infarction was significantly increased in patients undergoing segmentectomy (OR, 24.322; P=0.001), wedge resection (OR, 6.992; P=0.018), or combined surgical approach (OR, 29.921; P=0.028).

Conclusions

A history of cerebral infarction, APTT <26.5 s, BMI ≥24.0 kg/m2, and surgical method were independent risk factors for cerebral infarction after lung resection. Strengthening thromboprophylaxis in patients with these risk factors may help to reduce the incidence of postoperative cerebral infarction.

Association between radiotherapy and risk of death from cardiovascular diseases in lung and bronchus cancer

Background

Radiotherapy plays an important role in the treatment of lung cancer. However, radiation-related deaths from cardiovascular disease (CVD) are a concern in these patients, and few studies have examined CVD-related death associated with lung cancer. We aimed to evaluate the risk of CVD-related death after radiotherapy in patients with lung and bronchus cancer.

Methods

Data were extracted from the surveillance, epidemiology, and end results database. Propensity score matching (PSM) was applied to reduce possible bias between patients who received radiotherapy and those who did not. The Kaplan-Meier method was used to estimate cardiovascular-specific survival (CVSS), and the log-rank test was used to compare CVSS between the radiotherapy and no radiotherapy groups. Cox proportional hazards regression analysis was performed to estimate the hazard ratio (HR) of CVD-related death.

Results

A total of 225,570 patients with lung and bronchus cancer were included, and 201,282 patients remained after PSM. Radiotherapy was identified as an independent risk factor for CVSS among patients with lung and bronchus cancer before PSM (HR: 1.18, P < 0.001) and after PSM (HR: 1.18, P < 0.001). Patients treated with radiotherapy had a significantly worse CVSS than those who did not receive radiotherapy before PSM (25-year CVSS: 49.9 vs. 56.4%, P = 0.002) and after PSM (25-year CVSS: 48.4 vs. 56.7%, P < 0.001). Radiotherapy was associated with more deaths from heart disease before PSM (81.9 vs. 77.2%, P < 0.001) and after PSM (83.0 vs. 78.7%, P < 0.001).

Conclusion

Radiotherapy is associated with an increased risk of CVD-related death, especially death from heart disease, in patients with lung and bronchus cancer. More efforts are needed to monitor cardiovascular health after radiotherapy.

Construction of a mortality risk prediction model for elderly people at risk of lobectomy for NSCLC

Background

An increasing number of lung cancer patients are opting for lobectomy for oncological treatment. However, due to the unique organismal condition of elderly patients, their short-term postoperative mortality is significantly higher than that of non-elderly patients. Therefore, there is a need to develop a personalised predictive tool to assess the risk of postoperative mortality in elderly patients.

Methods

Information on the diagnosis and survival of 35,411 older patients with confirmed lobectomy NSCLC from 2009 to 2019 was screened from the SEER database. The surgical group was divided into a high-risk mortality population group (≤90 days) and a non-high-risk mortality population group using a 90-day criterion. Survival curves were plotted using the Kaplan-Meier method to compare the differences in overall survival (OS) and lung cancer-specific survival (LCSS) between the two groups. The data set was split into modelling and validation groups in a ratio of 7.5:2.5, and model risk predictors of postoperative death in elderly patients with NSCLC were screened using univariate and multifactorial logistic regression. Columnar plots were constructed for model visualisation, and the area under the subject operating characteristic curve (AUC), DCA decision curve and clinical impact curve were used to assess model predictiveness and clinical utility.

Results

Multi-factor logistic regression results showed that sex, age, race, histology and grade were independent predictors of the risk of postoperative death in elderly patients with NSCLC. The above factors were imported into R software to construct a line graph model for predicting the risk of postoperative death in elderly patients with NSCLC. The AUCs of the modelling and validation groups were 0.711 and 0.713 respectively, indicating that the model performed well in terms of predictive performance. The DCA decision curve and clinical impact curve showed that the model had a high net clinical benefit and was of clinical application.

Conclusion

The construction and validation of a predictive model for death within 90 days of lobectomy in elderly patients with lung cancer will help the clinic to identify high-risk groups and give timely intervention or adjust treatment decisions.

Prognostic significance of examined lymph node count in older patients with stage T1N0M0 pulmonary carcinoid tumours: a population-based propensity score-matched analysis

BACKGROUND

The optimal number of examined lymph nodes (ELNs) for older early-stage pulmonary carcinoid tumour (PC) patients is unknown.

AIMS

To explore the prognostic effect of the ELN count in older patients with stage T1N0M0 PC resection.

METHODS

Clinical data from the Surveillance, Epidemiology, and End Results database on stage T1N0M0 PC older patients (age ≥ 65 years) who underwent sublobar resection and lobectomy between 2000 and 2018 were retrospectively analysed for two ELNs-stratified (≥ 7 vs. < 7 ELNs) propensity score-matched (PSM) groups. Overall survival (OS) was calculated and compared with Kaplan-Meier analysis and log-rank test, respectively, and the independent prognostic factors were estimated using a Cox proportional hazard model.

RESULTS

Among 1077 participants (median dissected LN 4; mean ELNs 6.19 ± 7.04), 393 (36.49%) in the ≥ 7 ELNs group had better 5- and 10-year OS than the < 7 ELNs group (before PSM: 5-year OS = 93.01 vs. 85.22%, 10-year OS = 72.38 vs. 58.99%, p < 0.001; after PSM: 5-year OS = 93.12 vs. 85.97%, 10-year OS = 75.25 vs. 60.03%, p = 0.001). Subgroup analysis stratified by histologic type and surgical method showed a similar survival trend. Age-stratified analysis showed that, compared with the < 7 ELNs group, the ≥ 7 ELNs group had better 5- and 10-year OS but only better 5-year OS in participants > 75 years. Compared with the < 7 ELNs group, subgroup analysis by tumour size showed superior OS with 1.1-3.0 cm tumours in the ≥ 7 ELNs group, but no significant intergroup difference with tumours < 1.0 cm. Multivariate Cox analysis showed ≥ 7 ELNs was associated with improved OS.

CONCLUSION

Higher ELNs correlated with increased long-term survival in older early‑stage PC patients, and a minimum of 7 ELNs are recommended for prognostication in these patients (especially those aged 65-75 years, with tumour size 1.1-3.0 cm).

Lobectomy versus sublobar resection for stage I (T1-T2aN0M0) small cell lung cancer: A SEER population-based propensity score matching analysis

OBJECTIVE

This study evaluated whether sublobar resection (sub-L) is non-inferior to lobectomy (L) for stage I (T1-T2aN0M0) small cell lung cancer (SCLC) regarding long-term overall survival (OS).

METHODS

Clinicopathological and prognostic data of patients with stage I (pT1-T2aN0M0) SCLC were retrieved. Kaplan-Meier curves and Breslow tests were performed for the assessment of OS. Propensity score matching (PSM) analysis was used to mediate the inherent bias of retrospective researches.

RESULTS

A total of 188 patients with stage I SCLC were included in this study after PSM. For resected stage I SCLC, surgery plus adjuvant therapy was related to a better OS compared with surgery only (p = 0.016). For resected stage I SCLC, no matter adjuvant therapy was performed or not, no significant difference was observed in long-term OS between the L and sub-L groups (p = 0.181). Further subgroup analysis demonstrated that the OS disadvantage of sub-L over L was not statistically significant for stage I SCLC patients underwent surgery only (p = 0.653), but also for the patients underwent surgery plus adjuvant therapy (p = 0.069). Moreover, in the subgroup analyses according to TNM stage (IA and IB), sex (male and female), and age (≥70 and <70 years), OS did not differ between the L and sub-L groups except in female patients (p = 0.008). Multivariate Cox regression analysis indicated that adjuvant therapy was positively associated with OS.

CONCLUSIONS

Surgery plus adjuvant therapy confers a better survival benefit than surgery only for stage I SCLC patients. However, as far as the range of surgical resection is concerned, sublobar resection may be non-inferior to lobectomy regarding OS. Our study could conduce to the development of optimal therapeutic strategies for stage I SCLC patients. Further validation is warranted in larger retrospective and prospective cohort studies.

Does Examined Lymph Node Count Influence Survival in Surgically Resected Early‑stage Pulmonary Typical Carcinoid Tumors?

OBJECTIVES

We aimed to evaluate the prognostic impact of the number of examined lymph nodes (ELNs) in resected early‑stage pulmonary typical carcinoid tumors (TC).

METHODS

Patients who underwent sublobar resection and lobectomy for stage T1N0M0 TC between 2004 and 2016 were identified from the Surveillance, Epidemiology, and End Results database and enrolled in the ELNs≥4 or ELNs<4 groups (optimal cutoff using X-tile). Propensity score matching balanced baseline intergroup characteristics. Kaplan-Meier curve and log-rank test were used to calculate and compare overall survival (OS) rates. Cox proportional hazard model analysis was used to identify independent prognostic factors.

RESULTS

Among 2234 participants, 961 (43.02%) and 1273 (56.98%) had ELNs <4 and ≥4, respectively. The 5-year OS was significantly higher in the ELNs≥4, compared with ELNs<4, group, both before and after propensity score matching (95.41% vs. 89.71%, P<0.001 and 95.24% vs. 90.28%, P=0.004), respectively. Surgical subgroup analysis confirmed this survival trend in the lobectomy and sublobar resection groups. Tumor size-based subgroup analysis revealed superior OS with ELNs≥4 than ELNs<4 for tumors measuring 1.1-3.0 cm but not for tumors <1.0 cm. Multivariate Cox analysis showed that ELN≥4 contributed to improved OS.

CONCLUSIONS

The higher the ELNs, the greater the long-term survival rate in patients with early‑stage TC. Therefore, we recommend at least 4 ELNs as the cutoff value for evaluating the prognosis of early‑stage TCs, especially for patients with a tumor size of 1.1 to 3.0 cm.

Selection of the surgical approach for patients with cStage IA lung squamous cell carcinoma: A population-based propensity score matching analysis

Background

This study aimed to conduct a comparative analysis of the survival rates after segmentectomy, wedge resection, or lobectomy in patients with cStage IA lung squamous cell carcinoma (SCC).

Methods

We enrolled 4,316 patients who had cStage IA lung SCC from the Surveillance, Epidemiology, and End Results (SEER) database. The Cox proportional hazards model was conducted to recognize the potential risk factors for overall survival (OS) and lung cancer-specific survival (LCSS). To eliminate potential biases of included patients, the propensity score matching (PSM) method was used. OS and LCSS rates were compared among three groups stratified according to tumor size.

Results

Kaplan–Meier analyses revealed no statistical differences in the rates of OS and LCSS between wedge resection (WR) and segmentectomy (SG) groups for patients who had cStage IA cancers. In patients with tumors ≤ 1 cm, LCSS favored lobectomy (Lob) compared to segmentectomy (SG), but a similar survival rate was obtained for wedge resection (WR) and lobectomy (Lob). For patients with tumors sized 1.1 to 2 cm, lobectomy had improved OS and LCSS rates compared to the segmentectomy or wedge resection groups, with the exception of a similar OS rate for lobectomy and segmentectomy. For tumors sized 2.1 to 3 cm, lobectomy had a higher rate of OS or LCSS than wedge resection or segmentectomy, except that lobectomy conferred a similar LCSS rate compared to segmentectomy. Multivariable analyses showed that patients aged ≥75 and tumor sizes of &gt;2 to ≤3 cm were potential risk factors for OS and LCSS, while lobectomy and first malignant primary indicator were considered protective factors. The Cox proportional analysis also confirmed that male patients aged ≥65 to &lt;75 were independent prognostic factors that are indicative of a worse OS rate.

Conclusions

The tumor size can influence the surgical procedure recommended for individuals with cStage IA lung SCC. For patients with tumors ≤1 cm, lobectomy is the recommended approach, and wedge resection or segmentectomy might be an alternative for those who cannot tolerate lobectomy if adequate surgical margin is achievable and enough nodes are sampled. For tumors &gt;1 to ≤3 cm, lobectomy showed better survival outcomes than sublobar resection. Our findings require further validation by randomized controlled trial (RCT) or other evidence.

A guide for managing patients with stage I NSCLC: deciding between lobectomy, segmentectomy, wedge, SBRT and ablation-part 2: systematic review of evidence regarding resection extent in generally healthy patients

Background

Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options (lobectomy, segmentectomy, wedge, stereotactic body radiotherapy, thermal ablation), weighing multiple outcomes (e.g., short-, intermediate-, long-term) and multiple aspects of each (e.g., magnitude of a difference, the degree of confidence in the evidence, and the applicability to the patient and setting at hand). A structure is needed to summarize the relevant evidence for an individual patient and to identify which outcomes have the greatest impact on the decision-making.

Methods

A PubMed systematic review from 2000-2021 of outcomes after lobectomy, segmentectomy and wedge resection in generally healthy patients is the focus of this paper. Evidence was abstracted from randomized trials and non-randomized comparisons with at least some adjustment for confounders. The analysis involved careful assessment, including characteristics of patients, settings, residual confounding etc. to expose degrees of uncertainty and applicability to individual patients. Evidence is summarized that provides an at-a-glance overall impression as well as the ability to delve into layers of details of the patients, settings and treatments involved.

Results

In healthy patients there is no short-term benefit to sublobar resection vs. lobectomy in randomized and non-randomized comparisons. A detriment in long-term outcomes is demonstrated by adjusted non-randomized comparisons, more marked for wedge than segmentectomy. Quality-of-life data is confounded by the use of video-assisted approaches; evidence suggests the approach has more impact than the resection extent. Differences in pulmonary function tests by resection extent are not clinically meaningful in healthy patients, especially for multi-segmentectomy vs. lobectomy. The margin distance is associated with the risk of recurrence.

Conclusions

A systematic, comprehensive summary of evidence regarding resection extent in healthy patients with attention to aspects of applicability, uncertainty and effect modifiers provides a foundation on which to build a framework for individualized clinical decision-making.

A guide for managing patients with stage I NSCLC: deciding between lobectomy, segmentectomy, wedge, SBRT and ablation-part 3: systematic review of evidence regarding surgery in compromised patients or specific tumors

Background

Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options [lobectomy, segmentectomy, wedge, stereotactic body radiotherapy (SBRT), thermal ablation], weighing multiple outcomes (e.g., short-, intermediate-, long-term) and multiple aspects of each (e.g., magnitude of a difference, the degree of confidence in the evidence, and the applicability to the patient and setting at hand). A structure is needed to summarize the relevant evidence for an individual patient and to identify which outcomes have the greatest impact on the decision-making.

Methods

A PubMed systematic review from 2000-2021 of outcomes after lobectomy, segmentectomy and wedge resection in older patients, patients with limited pulmonary reserve and favorable tumors is the focus of this paper. Evidence was abstracted from randomized trials and non-randomized comparisons (NRCs) with adjustment for confounders. The analysis involved careful assessment, including characteristics of patients, settings, residual confounding etc. to expose degrees of uncertainty and applicability to individual patients. Evidence is summarized that provides an at-a-glance overall impression as well as the ability to delve into layers of details of the patients, settings and treatments involved.

Results

In older patients, perioperative mortality is minimally altered by resection extent and only slightly affected by increasing age; sublobar resection may slightly decrease morbidity. Long-term outcomes are worse after lesser resection; the difference is slightly attenuated with increasing age. Reported short-term outcomes are quite acceptable in (selected) patients with severely limited pulmonary reserve, not clearly altered by resection extent but substantially improved by a minimally invasive approach. Quality-of-life (QOL) and impact on pulmonary function hasn't been well studied, but there appears to be little difference by resection extent in older or compromised patients. Patient selection is paramount but not well defined. Ground-glass and screen-detected tumors exhibit favorable long-term outcomes regardless of resection extent; however solid tumors <1 cm are not a reliably favorable group.

Conclusions

A systematic, comprehensive summary of evidence regarding resection extent in compromised patients and favorable tumors with attention to aspects of applicability, uncertainty and effect modifiers provides a foundation for a framework for individualized decision-making.

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

BACKGROUND

The optimal extent of surgery for older patients with early-stage pulmonary carcinoid tumour (PC) remains controversial.

AIMS

To compare prognostic differences between sublobar resection versus lobectomy in older patients with early-stage PC.

METHODS

The SEER database was searched for stage T1N0M0 PC patients aged ≥ 65 years who underwent lobectomy or sublobar resection from 2000 to 2017. Propensity score matching (PSM) was used to determine intergroup covariate differences. Kaplan-Meier curves and the log-rank test were used for intergroup comparison of overall survival (OS). A Cox proportional hazard model was used to evaluate independent risk factors.

RESULTS

Among 1023 participants, 650 and 373 underwent lobectomy and sublobar resection, respectively. Before PSM, the 5- and 10-year OS in the sublobar resection group were lower than that of the lobectomy group (5-year OS 84.12% vs. 91.16%; 10-year OS 57.43% vs. 64.77%; p = 0.014); after PSM, no significant prognostic difference existed between lobectomy and sublobar resection (5-year OS 88.17% vs. 89.23%; 10-year OS 58.32% vs. 62.75%; p = 0.811). Subgroup analysis included tumour size, age, number of lymph nodes examined and histological type, and showed no statistically significant survival differences between the lobectomy and sublobar resection groups. Multivariable Cox analysis indicated that age ≥ 77 years, male sex, inadequate lymph node assessment (< 7), and atypical carcinoid were associated with reduced OS.

CONCLUSION

Sublobar resection showed a similar long-term survival rate for early-stage PC patients aged ≥ 65 years as with lobectomy, thereby providing a basis for the selection of surgical methods for PC.