Evaluating the necessity of lymph node sampling in lung adenocarcinoma with ground glass opacities.

BACKGROUND: Ground glass opacity is observed frequently in the early stages of lung adenocarcinoma and is associated with a favorable prognosis and a low incidence of lymph node metastasis. However, the necessity of lymph node sampling in these patients is questionable, although current guidelines still recommend it. METHODS: Radiologic and clinical data were retrospectively collected and analyzed for 2,298 patients with lung cancer who underwent surgical resection for lesions ≤15 mm during 2022. Based on the consolidation tumor ratios, patients were categorized into 4 groups (pure ground glass opacity, ground glass opacity-predominant, solid-predominant, and pure solid). The incidence of lymph node metastasis in each group was examined. RESULTS: A total of 2,298 patients with a median age of 54.0 years were enrolled in this study. Tumors were categorized into 4 types: 1,427 (62.1%) were pure ground glass opacity, which constituted the majority, while 421 (18.3%) were ground glass opacity-predominant, 330 (14.4%) were solid-predominant, and the remaining 120 (5.2%) were pure solid. Significant positive correlations were revealed between the consolidation tumor ratio group and pathologic grade (P < .001, ρ = 0.307), T stage (P < .001, ρ = 0.270), and N stage (P < .001, ρ = 0.105). Among the included cases, only 7 cases with metastasis were in the pure solid group. Within this group, 113 cases (94.2%) were N0, 5 cases (4.2%) were N1, and 2 cases (1.7%) were N2. CONCLUSION: Lymph node metastasis exclusively occurred in the pure solid group, suggesting that for nodules <15 mm, lymph node sampling may be crucial for pure solid nodules but less so for those containing ground glass opacities.

The predictive value of computed tomography value on high-resolution images in differentiating invasive from indolent lung adenocarcinoma.

Background: Invasive adenocarcinoma (IA) has a worse prognosis and different clinical management strategies compared to indolent lung adenocarcinoma including adenocarcinoma in situ (AIS) and minimally IA (MIA). The purpose of this study was to evaluate the predictive value of computed tomography (CT) value in differentiating invasive from indolent lung adenocarcinoma. Methods: The pathological diagnoses and imaging data of confirmed lung adenocarcinomas manifested as lung nodules with homogeneous internal density which were surgically resected between August 2021 and July 2022 were retrospectively analyzed. Differences in CT values between invasive and indolent lung adenocarcinomas were compared in the primary cohort (n=766), and receiver operating characteristic (ROC) curve analysis was used to determine the optimal cut-off value. The predictive performance of the cut-off value was evaluated in the validation cohort (n=341). Results: A total of 1,107 lung nodules from 1,014 patients were included in the total cohort. The CT values had a significant difference between invasive and indolent lung adenocarcinomas (P<0.001). Using the primary cohort, we determined the optimal cut-off value of -415 Hounsfield units (HU) of the CT value based on ROC curve, which showed good discrimination between IA and AIS/MIA in both the primary and validation cohorts (sensitivity, 85.98% and 87.42%, specificity, 87.67% and 84.74%, respectively). Conclusions: The CT value of >-415 HU could be an effective predictor of invasive lung adenocarcinoma, thereby providing an appropriate clinical decision guide.

Establishing and validation of the VBV score for assessing Lung ground-glass nodules based on high-resolution computed tomography.

BACKGROUND: The widespread utilization of chest High-resolution Computed Tomography (HRCT) has prompted detection of pulmonary ground-glass nodules (GGNs) in otherwise asymptomatic individuals. We aimed to establish a simple clinical risk score model for assessing GGNs based on HRCT. METHODS: We retrospectively analyzed 574 GGNs in 574 patients undergoing HOOK-WIRE puncture and pulmonary nodule surgery from January 2014 to November 2018. Clinical characteristics and imaging features of the GGNs were assessed. We analyzed the differences between malignant and benign nodules using binary logistic regression analysis and constructed a simple risk score model, the VBV Score, for predicting the malignancy status of GGNs. Then, we validated this model via other 1200 GGNs in 1041 patients collected from three independent clinical centers in 2022. RESULTS: For the exploratory phase of this study, out of the 574 GGNs, 481 were malignant and 93 were benign. Vacuole sign, air bronchogram, and intra-nodular vessel sign were important indicators of malignancy in GGNs. Then, we derived a VBV Score = vacuole sign + air bronchogram + intra-nodular vessel sign, to predict the malignancy of GGNs, with a sensitivity, specificity, and accuracy of 95.6%, 80.6%, and 93.2%, respectively. We also validated it on other 1200 GGNs, with a sensitivity, specificity, and accuracy of 96.0%, 82.6%, and 95.0%, respectively. CONCLUSIONS: Vacuole sign, air bronchogram, and intra-nodular vessel sign were important indicators of malignancy in GGNs. VBV Score showed good sensitivity, specificity, and accuracy for differentiating benign and malignant pulmonary GGNs.

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.

Effects of 24-hour postoperative intravenous fluid on postoperative outcomes after lobectomy: a retrospective observational study.

Background: Postoperative fluid management plays a key role in providing adequate tissue perfusion, stabilizing hemodynamics, and reducing morbidities related to hemodynamics. This study evaluated the dose-response relationship between postoperative 24-hour intravenous fluid volume and postoperative outcomes in patients with non-small cell lung cancer (NSCLC) undergoing video-assisted thoracoscopic surgery (VATS) lobectomy. Methods: A retrospective analysis of adult patients with NSCLC undergoing VATS lobectomy between May 2016 and April 2017 was performed. The primary exposure variable was total intravenous crystalloid infusion in the 24-hour postoperative period. The observation outcomes were postoperative pulmonary complications, acute kidney injury (AKI), in-hospital mortality, readmission within 30 days, prolonged hospital stay, postoperative length of stay, and total hospital care costs. Univariate and multivariate analyses were performed. Results: Of the 563 patients, 136 (24.2%) with pulmonary complications were observed. Binary logistics regression showed that, relative to the group with moderate postoperative 24-hour crystalloid infusion, the risk for postoperative pulmonary complications was significantly increased in the restrictive [odds ratio (OR) 1.815, 95% CI: 1.083-3.043; P=0.024] and liberal (OR 2.692, 95% CI: 1.684-4.305; P<0.001) groups. Conclusions: In patients with NSCLC undergoing VATS lobectomy, both restrictive and liberal 24-hour postoperative crystalloid infusions were related to adverse effects on postoperative outcomes and the optimal volume of 24-hour postoperative intravenous crystalloid infusion was 1,080-<1,410 mL.

Identification of a three-gene expression signature and construction of a prognostic nomogram predicting overall survival in lung adenocarcinoma based on TCGA and GEO databases.

Background: Lung adenocarcinoma (LUAD) is the major cause of cancer mortality. Traditional prognostic factors have limited importance after including other parameters. Thus, developing a more credible prognostic model combined with genes and clinical parameters is necessary. Methods: The messenger RNA (mRNA) expression and clinical information from The Cancer Genome Atlas (TCGA)-LUAD datasets and microarray data from three Gene Expression Omnibus (GEO) databases were obtained. We identified differentially-expressed genes (DEGs) between lung tumor and normal tissues through integrated analysis of the three GEO datasets. Univariate and multivariate Cox regression analyses were conducted to select survival-associated DEGs and to establish a prognostic gene signature which was associated with overall survival (OS). The expression of gene proteins was assessed in 180 LUAD tissue microarrays (TMAs) by immunohistochemistry (IHC). We verified its predictive performance with a Kaplan-Meier (KM) curve, receiver operating characteristic (ROC) curve, and Harrell's concordance index (C-index) and validated it in external GEO databases. Multivariate Cox regression analysis was performed to identify the significant prognostic indicators in LUAD. Furthermore, we established a prognostic nomogram based on TCGA-LUAD dataset. Results: A three-gene signature was constructed to predict the OS of LUAD patients. The KM analysis, ROC curve, and C-index present a good predictive ability of the gene signature in TCGA dataset [P<0.0001; C-index 0.6375; 95% confidence interval (CI): 0.5632-0.7118; area under the ROC curve (AUC) 0.674] and the external GEO datasets (P=0.05, 0.004, and 0.04, respectively). Univariate and multivariate Cox regression analyses also verified that LUAD patients with low-risk scores had a decreased risk of death compared to those with a high-risk score in TCGA database [hazard ratio (HR) =0.3898; 95% CI: 0.1938-0.7842; P<0.05]. Finally, we constructed a nomogram integrating the gene signature and clinicopathological parameters (P<0.0001; C-index 0.762; 95% CI: 0.714-0.845; AUC 0.8136). Compared with conventional staging, a nomogram can effectively improve prognosis prediction. Conclusions: The nomogram is closely associated to the OS of LUAD patients. This consequence may be beneficial to individualized treatment and clinical decision-making.

Trends in population mortality rates in the United States from 1969 to 2017.

BACKGROUND: Fundamental transformations in overall population health have occurred in the past five decades and are continuing. Our aim in this study was to characterize the trends in population mortality rates in the United States (U.S.) from 1969 to 2017. METHODS: Data on the 109,836,044 deaths registered in the Surveillance, Epidemiology, and End Results (SEER) database were analyzed by sex, race and ethnicity, and age. Temporal trends in population mortality rates were examined from 1969 to 2017. All data analyses were performed using the SEER*Stat software. RESULTS: The overall mortality rate for males and females in the U.S. per 100,000 population fell by 46.1% and 39.3%, from 1,610.0 and 1,019.3 in 1969 to 867.2 and 619.2 in 2017, respectively. This decline in overall mortality was mainly attributable to a decrease in mortality caused by heart and cerebrovascular diseases. From 1969 to 2017, the overall mortality rate was higher in males than females, and in blacks than whites for both sexes. From 1979 to 2017, the mortality rates of heart diseases, cerebrovascular diseases, and diabetes were all higher in blacks than in whites for both sexes. CONCLUSIONS: The results indicate that the U.S. has dramatically reduced its overall annual mortality rate between 1969 and 2017; however, the disparities among different races are still apparent.

Effects of preoperative pulmonary function on short-term outcomes and overall survival after video-assisted thoracic surgery lobectomy.

BACKGROUND: Preoperative pulmonary function tests are a necessary preoperative assessment tool for non-small cell lung cancer (NSCLC) patients awaiting surgery. We studied the effects of preoperative pulmonary function on short-term outcomes and overall survival (OS). METHODS: A retrospective cohort study was undertaken with adult NSCLC patients undergoing video-assisted thoracoscopic surgery (VATS) lobectomy between May 2016 and April 2017. The primary exposure variables were the percentage of predicted peak expiratory flow (PEF%), the percentage of predicted forced vital capacity (FVC%), and the percentage of predicted forced expiratory volume in 1 s. The observation outcomes were postoperative pulmonary complications (PPCs), acute kidney injury (AKI), in-hospital mortality, readmission within 30 days, and OS. Univariate and multivariate analyses were performed. RESULTS: Of the 548 patients, postoperative pneumonia was observed in 206 (37.6%). The results of the binary logistics regression analysis showed that relative to the moderate PEF% group, the risk of postoperative pneumonia was significantly increased in the marginal PEF% [odds ratio (OR) 2.076; 95% confidence interval (CI): 1.211-3.558; P=0.008] and excellent PEF% (OR 1.962; 95% CI: 1.129-3.411; P=0.017) groups. Relative to the good FVC% group, the risk of postoperative pneumonia was significantly increased in the marginal FVC% (OR 2.125; 95% CI: 1.226-3.683; P=0.007) and moderate FVC% (OR 2.230; 95% CI: 1.298-3.832; P=0.004) groups. The OS analysis did not reveal any correlations among the pulmonary function parameters and OS in this cohort. CONCLUSIONS: Preoperative PEF% and FVC% are associated with postoperative pneumonia in NSCLC patients undergoing VATS lobectomy. Preoperative PEF% is as important as FVC% in pulmonary function assessment before lung surgery.