Treatment Of Early-stage Lung Cancer Research Articles

Perioperative Challenges: Analysis of Surgical Complications in Screening Lung Carcinoma Patient.

Introduction In September 2020, the Institute for Pulmonary Diseases of Vojvodina (IPBV) started a lung cancer screening program using low-dose computed tomography (LDCT). Video-assisted thoracic surgery (VATS) lobectomy is the most effective treatment for early-stage lung cancer. However, the frequency of postoperative complications in VATS anatomical lung resections among patients enrolled in the screening program has not been adequately studied. This study aims to compare the frequency of surgical complications and length of hospital stay between patients enrolled in the screening program and a control group. Methods Retrospective, observational, monocentric, non-randomized study was conducted at the IPBV in Sremska Kamenica. The study included patients with a confirmed diagnosis of lung cancer who underwent anatomic pulmonary resection with mediastinal lymphadenectomy for therapeutic purposes. The patients were divided into two groups: the first group consisted of 34 patients who participated in the lung carcinoma screening program, while the second control group consisted of 102 patients. Over the past three years, all patients identified with nodules suspicious of malignancy during the screening program were sequentially enrolled in the screening group. For the control group, patients were selected based on a matching process to ensure valid statistical comparisons with the screening group. They were matched in a 3:1 ratio with patients from the screening group based on criteria including gender, disease stage, pathohistological type of cancer, tumor, node, and metastasis (TNM) stage of the disease, and degree of surgical resection. Patients were monitored for demographic parameters, smoking status, presence of comorbidities and prior oncological diseases, pulmonary function parameters, level of pre-operational risk, the number of lymph nodes removed by biopsies, spread through alveolar spaces (STAS), and the occurrence of complications after surgery (infection, bleeding, air leak, presence of adhesions), re-drainage, and length of hospital stay. Results The patients in the screening group had a higher incidence of infections, bleeding, prolonged air leak, and required re-drainage after surgery compared to the control group. Patients from the screening program with a high operative risk, prolonged air leak, and pleural adhesions had a statistically significant higher hospital stay longer than the control group. Conclusions This research emphasizes the importance of screening programs for detecting lung cancer in the early stages. However, it also highlights the need for further research to reduce surgical complications and improve therapeutic interventions for patients in the screening program.

Delta radiomics to track radiation response in lung tumors receiving stereotactic magnetic resonance-guided radiotherapy

Background and purposeLung cancer is a leading cause of cancer-related mortality, and stereotactic body radiotherapy (SBRT) has become a standard treatment for early-stage lung cancer. However, the heterogeneous response to radiation at the tumor level poses challenges. Currently, standardized dosage regimens lack adaptation based on individual patient or tumor characteristics. Thus, we explore the potential of delta radiomics from on-treatment magnetic resonance (MR) imaging to track radiation dose response, inform personalized radiotherapy dosing, and predict outcomes. Materials and methodsA retrospective study of 47 MR-guided lung SBRT treatments for 39 patients was conducted. Radiomic features were extracted using Pyradiomics, and stability was evaluated temporally and spatially. Delta radiomics were correlated with radiation dose delivery and assessed for associations with tumor control and survival with Cox regressions. ResultsAmong 107 features, 49 demonstrated temporal stability, and 57 showed spatial stability. Fifteen stable and non-collinear features were analyzed. Median Skewness and surface to volume ratio decreased with radiation dose fraction delivery, while coarseness and 90th percentile values increased. Skewness had the largest relative median absolute changes (22 %–45 %) per fraction from baseline and was associated with locoregional failure (p = 0.012) by analysis of covariance. Skewness, Elongation, and Flatness were significantly associated with local recurrence-free survival, while tumor diameter and volume were not. ConclusionsOur study establishes the feasibility and stability of delta radiomics analysis for MR-guided lung SBRT. Findings suggest that MR delta radiomics can capture short-term radiographic manifestations of the intra-tumoral radiation effect.

A regret theory-based even swaps method with complex linguistic information and its application in early-stage lung cancer treatment selection

Lung cancer is the cancer with the highest morbidity and mortality rate, and selecting treatment options for early-stage lung cancer patients is of great significance in improving cure rate. To help individuals make rational decisions, the even swap method, a multiple criteria decision-making (MCDM) model, provides an effective mechanism to make tradeoffs between criteria; however, the original even swap method ignored psychological characteristics of individuals and could not deal with complex linguistic information. To deal with the early-stage lung cancer treatment selection problem, this paper introduces generalized probabilistic linguistic term sets (GPLTSs) to describe complex linguistic information and proposes a generalized probabilistic linguistic even swap method based on the regret theory. Firstly, the upper and lower bounds corresponding to linguistic expressions are extracted to represent the uncertainty of GPLTSs. Then, a regret-rejoice function is introduced to express psychological characteristics of individuals when they making tradeoffs between criteria. Afterwards, a regret theory-based even swap method is proposed to rank alternatives. The proposed method is validated in the selection of early-stage lung cancer treatment options. Sensitivity analysis and comparative analysis are given to show the feasibility of the proposed method.

Assessing patient perception and preferences for outcomes in lung cancer resection surgery: a cross-sectional study.

Surgical resection is the primary treatment for early-stage lung cancer, but little is known about the outcomes that truly matter to patients. This aim of our study was to identify the aspects of postoperative outcomes that matter most to patients undergoing lung cancer surgery and explore the influence of clinical and demographic factors on their importance ratings. We performed a cross-sectional study of patients undergoing lung resection for non-small cell lung cancer at our institution from November 2021 to May 2022. Patients were surveyed using a self-developed questionnaire and the European Organisation for Research and Treatment of Cancer core health-related quality of life questionnaire (EORTC QLQ-C30) prior to surgery. Ordinal logistic regression was performed to determine associations between individual patient factors and outcome importance ratings. Forty patients completed the survey during the study period. Patients prioritized oncologic outcomes, with 95% rating R0 resection and cancer recurrence as "very important". Other important factors included overall survival (90%), postoperative complications (e.g., myocardial infarction: 92.5%, infection: 87.5%), and the need for reoperation (82.5%). Health-related quality of life factors, such as chronic pain (77.5%) and the ability to return to normal physical and exercise levels (75%), were also highly valued. Certain patient clinical and demographic factors demonstrated significant associations with importance placed on certain outcomes. Preoperative health-related quality of life scores did not influence outcome importance ratings. This study provides insights into the outcomes that matter most to patients undergoing lung cancer surgery. Oncologic outcomes and postoperative complications were prioritized, while scar-related factors were less important. Patient preferences varied based on demographic and clinical factors. Understanding these preferences can enhance shared decision-making and improve patient-centered care in thoracic surgical oncology.

Perioperative Evaluation of the Physical Quality of Life of Patients with Non-Small Cell Lung Cancer: A Prospective Study.

Surgery is the most effective treatment for early-stage lung cancer; however, it poses a higher physical burden than other treatment options. Therefore, understanding the perioperative course of patients is important. Using the Short Form Health Survey 36, we prospectively measured the physical quality of life of patients who underwent anatomical pulmonary resection for non-small cell lung cancer at Shonan Kamakura General Hospital, Kanagawa, Japan (n = 87). In the preoperative setting, patients who had lower performance status and lived alone had significantly worse physical quality of life scores on multivariate analysis (regression coefficient (95% confidence interval), -9.37 (-13.43--5.32) and -10.22 (-13.74--7.40), respectively, p < 0.0001 for both). At 6 months postoperatively, patients who stopped smoking within 1 year preoperatively (stopped smoking within 1 year vs. remote or never smokers, 41.0 ± 10.5 vs. 48.6 ± 7.2, p = 0.002), had lower performance status (0 vs. 1-2, 49.3 ± 6.6 vs. 38.6 ± 9.6, p < 0.0001), lived alone (living alone vs. living with somebody, 41.6 ± 9.7 vs. 48.1 ± 7.9, p = 0.021), and had higher comorbid burden (Charlson comorbidity index <3 vs. ≥3, 48.2 ± 6.9 vs. 39.1 ± 14.7, p = 0.003) had significantly worse physical quality of life scores on univariate analysis. More recent smoking (regression coefficient (95% confidence interval), -4.90 (-8.78-1.0), p = 0.014), lower performance status (8.90 (5.10-12.70), p < 0.0001), living alone (5.76 (1.39-10.13), p = 0.01), and higher comorbid burden (-6.94 (-11.78--2.10), p = 0.006) were significant independent predictors of worse postoperative physical quality of life on multivariate analysis. Therefore, patients with these conditions might need additional support to maintain their physical condition after anatomical lung cancer surgery.

Impact of the Size and Depth of Pulmonary Nodules on the Surgical Approach for Lung Resection in the Treatment of Early-stage Lung Cancer ≤2 cm

Current studies suggest that for early-stage lung cancers with a component of ground-glass opacity measuring ≤2 cm, sublobar resection is suitable if it ensures adequate margins. However, lobectomy may be necessary for some cases to achieve this. The aim of this study was to explore the impact of size and depth on surgical techniques for wedge resection, segmentectomy, and lobectomy in early-stage lung cancer ≤2 cm, and to determine methods for ensuring a safe resection margin during sublobar resections. Clinical data from 385 patients with early-stage lung cancer ≤2 cm, who underwent lung resection in 2022, were subject to a retrospective analysis, covering three types of procedures: wedge resection, segmentectomy and lobectomy. The depth indicator as the OA value, which is the shortest distance from the inner edge of a pulmonary nodule to the opening of the corresponding bronchus, and the AB value, which is the distance from the inner edge of the nodule to the pleura, were measured. For cases undergoing lobectomy and segmentectomy, three-dimensional computed tomography bronchography and angiography (3D-CTBA) was performed to statistically determine the number of subsegments required for segmentectomy. The cutting margin width for wedge resection and segmentectomy was recorded, as well as the specific subsegments and their quantities removed during lung segmentectomy were documented. In wedge resection, segmentectomy, and lobectomy, the sizes of pulmonary nodules were (1.08±0.29) cm, (1.31±0.34) cm and (1.50±0.35) cm, respectively, while the depth of the nodules (OA values) was 6.05 (5.26, 6.85) cm, 4.43 (3.27, 5.43) cm and 3.04 (1.80, 4.18) cm for each procedure, showing a progressive increasing trend (P<0.001). The median resection margin width obtained from segmentectomy was 2.50 (1.50, 3.00) cm, significantly greater than the 1.50 (1.15, 2.00) cm from wedge resection (P<0.001). In wedge resections, cases where AB value >2 cm demonstrated a higher proportion of cases with resection margins less than 2 cm compared to those with margins greater than 2 cm (29.03% vs 12.90%, P=0.019). When utilizing the size of the nodule as the criterion for resection margin, the instances with AB value >2 cm continued to show a higher proportion in the ratio of margin distance to tumor size less than 1 (37.50% vs 17.39%, P=0.009). The median number of subsegments for segmentectomy was three, whereas lobectomy cases requiring segmentectomy involved five subsegments (P<0.001). The selection of the surgical approach for lung resection is influenced by both the size and depth of pulmonary nodules. This study first confirms that larger portions of lung tissue must be removed for nodules that are deeper and larger to achieve a safe margin. A distance of ≤2 cm from the inner edge of the pulmonary nodule to the nearest pleura may be the ideal indication for performing wedge resection.

Learning curve for complex segmentectomy via uniportal video-assisted thoracoscopic surgery for the treatment of early-stage lung cancer.

Recently, segmentectomy has emerged as a viable treatment option for early-stage lung cancer. Segmentectomy can be divided into simple segmentectomy and complex segmentectomy. While simple segmentectomy is a relatively straightforward surgical procedure, complex segmentectomy poses a considerable challenge because of its intricate anatomical variations and the need for a complex surgical approach. The introduction of uniportal video-assisted thoracoscopic surgery (VATS) further complicates matters. This study aimed to assess whether thoracic surgeons, who have previously conducted only uniportal VATS lobectomy and simple segmentectomy, could effectively navigate the learning curve when undertaking their first complex segmentectomy procedure. A single surgeon with experience limited to uniportal VATS lobectomy and simple segmentectomy began performing uniportal VATS complex segmentectomy in 2019, completing 167 cases of complex segmentectomy during the same period and performing 70 cases of simple segmentectomy. We analyzed the learning curve by comparing the surgical outcomes and operative time curves between simple segmentectomy and complex segmentectomy. The complex segmentectomy group exhibited similarities with the simple segmentectomy group in terms of patient and tumor characteristics, operative outcomes, and postoperative outcomes, with the exception of the complex segmentectomy group showing slightly reduced chest tube drainage and shorter hospital stays. The operative times and time curve patterns showed no significant difference between the two groups, indicating a potential lack of a distinct learning curve for complex segmentectomy. Complex segmentectomy via uniportal VATS, when performed by surgeons proficient in simple segmentectomy and lobectomy techniques, has comparable outcomes and potentially eliminates the need for an extensive learning curve. This approach expands the options for treating early-stage non-small-cell lung cancer (NSCLC), allowing for tailored patient care. Further studies are needed to assess long-term outcomes.

Sarcopenia and Mediastinal Adipose Tissue as a Prognostic Marker for Short- and Long-Term Outcomes after Primary Surgical Treatment for Lung Cancer

Surgical resection remains the gold standard of treatment for early-stage lung cancer. Several risk models exist to predict postoperative morbidity and mortality. Psoas muscle sarcopenia has already successfully been used for morbidity prediction in lung transplantation and is not yet included in the available risk scores for pulmonary resections. We hypothesized that the skeletal muscle index and mediastinal adipose tissue might also have an impact on postoperative outcomes after primary surgery for primary lung cancer. The institutional database was queried for patients with primary lung cancer who were treated with primary lobectomy or segmentectomy between February 2009 and November 2018. In total, 311 patients were included for analysis. Patients receiving neo-/adjuvant chemotherapy or with a positive nodal status were excluded to rule out any morbidity or mortality due to (neo-)adjuvant treatment. Sarcopenia was defined as a skeletal muscle index of &lt;34.4 cm2/m2 for women and &lt;45.4 cm2/m2 for men. Mediastinal adipose tissue was defined with a radiodensity of −150 to −30 Hounsfield units. Sarcopenia was diagnosed in 78 (25.1%) of the 311 patients. Male patients were significantly more likely to suffer from sarcopenia (31.5% vs. 18.1%, p = 0.009). Comorbidities, lung function, tumour histology, pathologic tumour staging, mediastinal adipose tissue and age did not differ between groups with or without sarcopenia. Sarcopenic patients had a significantly longer length of stay, with 13.0 days vs. 9.5 (p = 0.003), and a higher rate of any postoperative complications (59.0% vs. 44.6%, p = 0.036). There was no difference in recurrence rate. Five-year overall survival was significantly better in the patient cohort without sarcopenia (75.6% vs. 64.5%, p = 0.044). Mediastinal adipose tissue showed no significant impact on length of stay, postoperative complications, recurrence rate, morbidity or survival. Sarcopenia, quantified with the skeletal muscle index, is shown to be a risk factor for postoperative morbidity and reduced survival in primary lung cancer. Efforts should be taken to pre-emptively screen for sarcopenia and start countermeasures (e.g., physical prehabilitation, protein-rich nutrition, etc.) during the preoperative workup phase.

Robotic-assisted navigation system for preoperative lung nodule localization: a pilot study.

Preoperative percutaneous computed tomography (CT)-guided localization of pulmonary nodules plays a pivotal role in the diagnosis and treatment of early-stage lung cancer. However, conventional manual localization techniques have inherent limitations in achieving a high degree of accuracy. Consequently, a novel robotic-assisted navigation system was developed to attain precise localization of small lung nodules. This study aims to investigate the accuracy and safety of this system in clinical applications. Patients with peripheral solitary pulmonary nodules measuring less than 20 mm were enrolled. The robotic-assisted navigation system generated a three-dimensional (3D) model based on the patient's CT images, determining the optimal puncture path. The robotic arm then accurately located the nodule and, following percutaneous puncture, indocyanine green (ICG) was injected. The primary outcome measure was the accuracy of pulmonary nodule localization, while secondary outcomes included the complication rate, procedural duration, and total radiation exposure. A total of 33 nodules were successfully localized using the robotic-assisted navigation system and resected through video-assisted thoracoscopic surgery (VATS). The first-pass success rate was 100%, with a median deviation of 6.1 mm [interquartile range (IQR), 2.5-7.2 mm] between the localizer and the nodule. The median localization time was 25.0 minutes, and the single and cumulative exam dose-length products (DLP) were 534.0 and 1491.0 mGy·cm, respectively. Notably, no observable complications were reported during the procedures. The innovative robotic-assisted navigation system demonstrated satisfactory accuracy and holds promise for improving the percutaneous localization of lung nodules. This method represents a safe and viable alternative to traditional CT-guided manual localization techniques.

Barriers to Timely Lung Cancer Care in Early Stage Non–Small Cell Lung Cancer and Impact on Patient Outcomes

BackgroundOptimal time to treatment for early-stage lung cancer is uncertain. We examined causes of delays in care for Veterans who presented with early-stage non–small cell lung cancer (NSCLC) and whether workup time was associated with increased upstaging or all-cause mortality. MethodsWe performed a retrospective analysis of Veterans referred to our facility with radiographic stage I or II NSCLC between January 2013 to December 2017, with follow-up through October 2021. Patient demographics, tumor characteristics, time intervals of care, and reasons for delays were collected. Guideline concordance (GC) was defined as treatment within 14 weeks of abnormal image. Multivariable analyses were performed to determine association between delays in care, survival, and upstaging. ResultsData from 203 Veterans were analyzed. Median time between abnormal imaging to treatment was 17.7 weeks (IQR 12.7-26.6). Only 33% of Veterans received GC care. Most common patient-related delays were: intercurrent hospitalization/comorbidity (23%), no-shows (16%) and inability to reach Veteran (17%). Most common system-related delay: lack of scheduling availability (25%). Delays associated with upstaging: transportation issues, request for coordination of appointments, and unforeseen appointment changes. Rates of upstaging did not differ between GC and discordant groups (P = .6). GC care was not an independent predictor of mortality. Post-hoc, treatment within 8 weeks was associated with lower rates of upstaging (P = .05). ConclusionAlthough GC care did not impact survival or upstaging for early-stage NSCLC, shorter timeframes may be beneficial. Modifiable delays in care exist which may be addressed at an institutional level to improve timeliness of care.

Histology-Validated Dielectric Characterisation of Lung Carcinoma Tissue for Microwave Thermal Ablation Applications.

Microwave thermal ablation is a promising emerging treatment for early-stage lung cancer. Applicator design optimisation and treatment planning rely on accurate knowledge of dielectric tissue properties. Limited dielectric data are available in the literature for human lung tissue and pulmonary tumours. In this work, neoplastic and non-neoplastic lung dielectric properties are characterised and correlated with gross and histological morphology. Fifty-six surgical specimens were obtained from twelve patients undergoing lung resection for lung cancer in University Hospital of Galway, Ireland. Dielectric spectroscopy in the microwave frequency range (500 MHz-8.5 GHz) was performed on the ex vivo lung specimens with the open-ended coaxial probe technique (in the Department of Pathology). Dielectric data were analysed and correlated with the tissue histology. The dielectric properties of twelve lung tumours (67% non-small cell carcinoma (NSCC)) and uninvolved lung parenchyma were obtained. The values obtained from the neoplastic lung specimens (relative permittivity: 52.0 ± 5.4, effective conductivity: 1.9 ± 0.2 S/m, at 2.45 GHz) were on average twice the value of the non-neoplastic lung specimens (relative permittivity: 28.3 ± 6.7, effective conductivity: 1.0 ± 0.3 S/m, at 2.45 GHz). Dense fibrosis was comparable with tumour tissue (relative permittivity 49.3 ± 4.6, effective conductivity: 1.8 ± 0.1 S/m, at 2.45 GHz).

Pulmonary Recruitment Prior to Intraoperative Multiple Pulmonary Ground-Glass Nodule Localization Increases the Localization Accuracy-A Retrospective Study.

The standard treatment for early-stage lung cancer is complete tumor excision by limited resection of the lung. Preoperative localization is used before video-assisted thoracoscopic surgery (VATS) to improve the accuracy of pulmonary nodule excision. However, lung atelectasis and hypoxia resulting from controlling apnea during the localization procedure may affect the localization accuracy. Pre-procedural pulmonary recruitment may improve the respiratory mechanics and oxygenation during localization. In this study, we investigated the potential benefits of pre-localization pulmonary recruitment prior to pulmonary ground-glass nodule localization in a hybrid operating room. We hypothesized that pre-localization pulmonary recruitment would increase the localization accuracy, improve oxygenation, and prevent the need for re-inflation during the localization procedure. We retrospectively enrolled patients with multiple pulmonary nodule localizations before surgical intervention in our hybrid operating room. We compared the localization accuracy between patients who had undergone pre-procedure pulmonary recruitment and patients who had not. Saturation, re-inflation rate, apnea time, procedure-related pneumothorax, and procedure time were also recorded as secondary outcomes. The patients who had undergone pre-procedure recruitment had better saturation, shorter procedure time, and higher localization accuracy. The pre-procedure pulmonary recruitment maneuver was effective in increasing regional lung ventilation, leading to improved oxygenation and localization accuracy.

Prediction of postoperative lung function in lung cancer patients using machine learning models.

: Surgical resection is the standard treatment for early-stage lung cancer. Since postoperative lung function is related to mortality, predicted postoperative lung function is used to determine the treatment modality. The aim of this study was to evaluate the predictive performance of linear regression and machine learning models. We extracted data from the Clinical Data Warehouse (CDW) and developed 3 sets: set Ⅰ, the linear regression model; set Ⅱ, machine learning models omitting the missing data: and set Ⅲ, machine learning models imputing the missing data. Six machine learning models, the least absolute shrinkage and selection operator (LASSO), ridge regression, ElasticNet, Random Forest, eXtreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM) were implemented. The forced expiratory volume in one second (FEV1) measured 6 months after surgery was defined as the outcome. Five-fold cross-validation was performed for hyperparameter tuning of the machine learning models. The dataset was split into training and test datasets at a 70:30 ratio. Implementation was done after dataset splitting in set Ⅲ. Predictive performance was evaluated by R2 and mean squared error (MSE) in the 3 sets. A total of 1,487 patients were included in sets Ⅰ and Ⅲ and 896 patients were included in set Ⅱ. In set Ⅰ, the R2 value was 0.27 and in set Ⅱ, LightGBM was the best model with the highest R2 value of 0.5 and the lowest MSE of 154.95. In set Ⅲ, LightGBM was the best model with the highest R2 value of 0.56 and the lowest MSE of 174.07. The LightGBM model showed the best performance in predicting postoperative lung function.

Innovative Invasive Loco-Regional Techniques for the Treatment of Lung Cancer.

Surgical resection is still the standard treatment for early-stage lung cancer. A multimodal treatment consisting of chemotherapy, radiotherapy and/or immunotherapy is advised for more advanced disease stages (stages IIb, III and IV). The role of surgery in these stages is limited to very specific indications. Regional treatment techniques are being introduced at a high speed because of improved technology and their possible advantages over traditional surgery. This review includes an overview of established and promising innovative invasive loco-regional techniques stratified based on the route of administration, including endobronchial, endovascular and transthoracic routes, a discussion of the results for each method, and an overview of their implementation and effectiveness.

Decision Regret among Patients with Early-stage Lung Cancer Undergoing Radiation Therapy or Surgical Resection

AimsClinical equipoise exists regarding early-stage lung cancer treatment among patients as trials comparing stereotactic body radiation therapy (SBRT) and surgical resection are unavailable. Given the potential differences in treatment effectiveness and side-effects, we sought to determine the associations between treatment type, decision regret and depression. Materials and methodsA multicentre, prospective study of patients with stage IA–IIA non-small cell lung cancer (NSCLC) with planned treatment with SBRT or surgical resection was conducted. Decision regret and depression were measured using the Decision Regret Scale (DRS) and Patient Health Questionnaire-4 (PHQ-4) at 3, 6 and 12 months post-treatment, respectively. Mixed linear regression modelling examined associations between treatment and decision regret adjusting for patient sociodemographics. ResultsAmong 211 study participants with early-stage lung cancer, 128 (61%) patients received SBRT and 83 (39%) received surgical resection. The mean age was 73 years (standard deviation = 8); 57% were female; 79% were White non-Hispanic. In the entire cohort at 3 months post-treatment, 72 (34%) and 57 (27%) patients had mild and severe decision regret, respectively. Among patients who received SBRT or surgery, 71% and 46% of patients experienced at least mild decision regret at 3 months, respectively. DRS scores increased at 6 months and decreased slightly at 12 months of follow-up in both groups. Higher DRS scores were associated with SBRT treatment (adjusted mean difference = 4.18, 95% confidence interval 0.82 to 7.54) and depression (adjusted mean difference = 3.49, 95% confidence interval 0.52 to 6.47). Neither patient satisfaction with their provider nor decision-making role concordance was associated with DRS scores. ConclusionsMost early-stage lung cancer patients experienced at least mild decision regret, which was associated with SBRT treatment and depression symptoms. Findings suggest patients with early-stage lung cancer may not be receiving optimal treatment decision-making support. Therefore, opportunities for improved patient–clinician communication probably exist.

The effect of ambient PM2.5 exposure on survival of lung cancer patients after lobectomy

Exposure to fine particulate matter (PM2.5) is linked to lung cancer incidence and mortality. However, the impact of PM2.5 exposure on lung cancer patients after lobectomy, which remains the primary treatment for early-stage lung cancer, is unknown. Therefore, we investigated the correlation between PM2.5 exposure and the survival of lung cancer patients after lobectomy. This study included 3,327 patients with lung cancer who underwent lobectomy procedures. We converted residential addresses into coordinates and estimated individual patients' daily PM2.5 and O3 exposure levels. A Cox multivariate regression model was used to analyze the specific monthly association between PM2.5 exposure and lung cancer survival. Every 10 μg/m3 increase in monthly PM2.5 concentration in the first and second months after lobectomy increased the risk of death (hazard ratio [HR]: 1.043, 95% confidence interval [CI]: 1.019–1.067 and HR: 1.036, 95% CI: 1.013–1.060, respectively). Non-smokers, younger patients, and patients with longer hospitalization durations had worse survival rates when exposed to greater concentrations of PM2.5. High postoperative PM2.5 exposure immediately after lobectomy reduced the survival of patients with lung cancer. Patients living in areas with high PM2.5 should be offered the opportunity to transfer to areas with better air quality after undergoing lobectomies, to prolong their survival times.

Measurement and Analysis of Lobar Lung Deformation After a Change of Patient Position During Video-Assisted Thoracoscopic Surgery.

Video-assisted thoracoscopic surgery (VATS) is a minimally invasive surgical technique for the diagnosis and treatment of early-stage lung cancer. During VATS, large lung deformation occurs as a result of a change of patient position and a pneumothorax (lung deflation), which hinders the intraoperative localization of pulmonary nodules. Modeling lung deformation during VATS for surgical navigation is desirable, but the mechanisms causing such deformation are yet not well-understood. In this study, we estimate, quantify and analyze the lung deformation occurring after a change of patient position during VATS. We used deformable image registration to estimate the lung deformation between a preoperative CT (in supine position) and an intraoperative CBCT (in lateral decubitus position) of six VATS clinical cases. We accounted for sliding motion between lobes and against the thoracic wall and obtained consistently low average target registration errors (under 1mm). We observed large lung displacement (up to 40mm); considerable sliding motion between lobes and against the thoracic wall (up to 30mm); and localized volume changes indicating deformation. These findings demonstrate the complexity of the change of patient position phenomenon, which should necessarily be taken into account to model lung deformation for intraoperative guidance during VATS.

Application of Three-dimensional Computed Tomography Bronchography and Angiography Combined with Perfusion Area Identification Technique in Uniport Thoracoscopic Complex Segmentectomy

With the extensive application of segmental lung resection in the treatment of early-stage lung cancer, how to complete segmentectomy more accurately and minimally invasively has become a research hotspot. The aim of this study is to explore the application of three-dimensional computed tomography bronchography and angiography (3D-CTBA) combined with perfusion area recognition technique in single-hole thoracoscopic complex segmentectomy. From January 2021 to January 2022, the clinical data of 112 consecutive patients undergoing single-port thoracoscopic complex segmentectomy in the Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University were retrospectively analyzed. The three-dimensional reconstruction combined with perfusion area identification technique was used to perform the operation and the clinical data were analyzed. The average operation time was (141.1±35.4) min; the initial time of intersegmental plane display was (12.5±1.7) s; the maintenance time of intersegmental plane was (114.3±10.9) s; the intersegmental plane was clearly displayed (100%); the amount of bleeding was [10 (10, 20)] mL; the total postoperative drainage volume was (380.5±139.7) mL; the postoperative extubation time was (3.9±1.2) d; and the postoperative hospitalization time was (5.2±1.6) d. Postoperative complications occurred in 8 cases. The advantages of 3D-CTBA combined with perfusion area recognition technique are fast, accurate and safe in identifying intersegmental boundary in single-port thoracoscopic complex segmentectomy, which could provide guidances for accuratding resection of tumors, shortening operation time and reducing surgical complications.

Postoperative lung cancer surveillance: the highs and lows of computerized tomographic scanning.

Radiation dose reduction has been a topic of great interest in the last decade. In this study, Nakada and colleagues address a very important contributor of radiation exposure in today’s world, i.e. lung cancer surveillance [1]. Since the USPSTF’s recommendations on lung cancer screening, there has been an increase in the detection and treatment of early-stage lung cancers [2]. With the recent screening guidelines including younger patients, we are bound to see an increase in the pool of patients that are now exposed to intensive surveillance with computerized tomographic (CT) scans after lung cancer treatment. Nakada et al. make a case here to balance our surveillance strategy with the radiation exposure that we commit these patients to. They present a retrospective study of 416 patients who underwent lobectomy or segmentectomy for stage I non-small-cell lung cancer (NSCLC) and were surveilled with low-dose CT (LDCT) or conventional CT with a median follow-up time of 57 months. In the propensity score-matched analysis, they did not find a significant difference in the recurrence-free survival or the overall survival between the 2 groups.

Association between imaging surveillance frequency and outcomes following surgical treatment of early-stage lung cancer.

Recent studies have suggested that more frequent postoperative surveillance imaging via computed tomography following lung cancer resection may not improve outcomes. We sought to validate these findings using a uniquely compiled dataset from the Veterans Health Administration, the largest integrated health-care system in the United States. We performed a retrospective cohort study of veterans with pathologic stage I non-small cell lung cancer receiving surgery (2006-2016). We assessed the relationship between surveillance frequency (chest computed tomography scans within 2 years after surgery) and recurrence-free survival and overall survival. Among 6171 patients, 3047 (49.4%) and 3124 (50.6%) underwent low-frequency (<2 scans per year; every 6-12 months) and high-frequency (≥2 scans per year; every 3-6 months) surveillance, respectively. Factors associated with high-frequency surveillance included being a former smoker (vs current; adjusted odds ratio [aOR] = 1.18, 95% confidence interval [CI] = 1.05 to 1.33), receiving a wedge resection (vs lobectomy; aOR = 1.21, 95% CI = 1.05 to 1.39), and having follow-up with an oncologist (aOR = 1.58, 95% CI = 1.42 to 1.77), whereas African American race was associated with low-frequency surveillance (vs White race; aOR = 0.64, 95% CI = 0.54 to 0.75). With a median (interquartile range) follow-up of 7.3 (3.4-12.5) years, recurrence was detected in 1360 (22.0%) patients. High-frequency surveillance was not associated with longer recurrence-free survival (adjusted hazard ratio = 0.93, 95% CI = 0.83 to 1.04, P = .22) or overall survival (adjusted hazard ratio = 1.04, 95% CI = 0.96 to 1.12, P = .35). We found that high-frequency surveillance does not improve outcomes in surgically treated stage I non-small cell lung cancer. Future lung cancer treatment guidelines should consider less frequent surveillance imaging in patients with stage I disease.