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Objectives: During perioperative, lung cancer (LC) patients are often left to experience debilitating disease-related symptoms, impaired physical activity and health-related quality of life (HRQoL), and social difficulties, despite the progress achieved in terms of treatment efficacy. Nonpharmacological intervention, such as exercise, has been identified as an effective strategy in LC patients before and after lung resection. Therefore, we aimed to assess evidence of the effect of perioperative exercise among patients with LC. Materials and Methods: Seven databases were searched from January 1998 to September 2020. All randomized controlled trials (RCTs) that evaluated the effect of exercise on the physical and psychological status of patients with LC during the perioperative period were reviewed. Two reviewers independently assessed the quality of all studies included here using the revised Cochrane risk of bias tool for RCTs. Results: Seventeen RCTs (1199 participants) published between 2011 and 2019 met for this literature review. The outcome measures that emerged from these studies included subjective outcomes, such as HRQoL, pain score, fatigue, and objective effects, such as cardiorespiratory fitness, pulmonary function, physical activity, and biological markers. Overall, these studies suggest that exercise should be an optimal option for LC; however, its efficacy and effectiveness regarding HRQoL should be investigated further. Conclusion: Perioperative exercise could be included in the rehabilitation program of patients with LC. More extensive, high-quality RCTs evidence is needed on the ideal exercise type, duration, intensity, and timing across the LC perioperative care. [ABSTRACT FROM AUTHOR]

Objective: Tissue hypoperfusion during cardiopulmonary bypass (CPB) affects cardiac surgical outcomes. Lactate, an end product of anaerobic glycolysis from oxygen deficit, is a marker of tissue hypoxia. In this study, we aimed to identify the prognostic value of blood lactate level during CPB in predicting outcomes in adults undergoing cardiac surgeries. Materials and Methods: We retrospectively reviewed the medical records of patients who underwent cardiac surgeries with CPB from January 2015 to December 2015. Data about the characteristics of patients, preoperative status, type of surgery, and intraoperative lactate levels were collected. The outcomes were in-hospital mortality and complications. The receiver operating characteristics (ROC) curves were used to assess the ability of peak lactate level during CPB in predicting in-hospital mortality. Results: A total of 97 patients, including 61 who underwent emergent or urgent surgery, were enrolled. The types of surgery included coronary artery bypass grafting (CABG, n = 52), valve surgery (n = 27), combined surgery (CABG and valve surgery, n = 4), great vessel surgery (including aortic dissection, n = 9), and others (n = 5). The median CPB time was 139 min (interquartile range = 120–175). The median initial lactate and peak lactate levels during CPB were 0.9 and 4.2 mmol/L, respectively. In-hospital mortality was 14.4%, which was significantly associated with age and peak lactate level in the multivariate logistic regression model. When the peak lactate level during CPB reached 7.25 mmol/L, in-hospital mortality could be predicted with an area under the ROC curve of 0.75 (95% confidence interval: 0.59–0.90; P = 0.003), with a sensitivity of 57% and specificity of 93%.Conclusion: Hyperlactatemia during CPB was associated with increased in-hospital mortality. Thus, early detection of such conditions and aggressive postoperative care are important. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the role of the traditional and radiomic parameters of 18F-FDG PET for predicting the outcomes of patients with esophageal squamous cell carcinoma (SqCC).Methods: Forty-four patients with primary esophageal SqCC who underwent neoadjuvant chemoradiotherapy (CCRT) followed by esophagectomy (tri-modality treatment) were retrospectively analyzed. All patients underwent 18F-FDG PET/CT before and after neoadjuvant CCRT. The radiomic features were calculated using the pre-treatment PET scan. Pre-treatment radiomic features and changes in the PET-derived traditional parameters after neoadjuvant CCRT were analyzed according to the pathological response to esophagectomy, disease-free survival (DFS), and overall survival (OS). We further developed a scoring system based on the independent survival prognosticators and compared our model to the traditional TNM staging system and surgical pathology.Results: A pre-treatment primary tumor histogram entropy ≥ 3.69 predicts an unfavorable response to neoadjuvant CCRT (OR = 19.25, p = 0.009). An SUVmax reduction ratio ≤ 0.76, a pre-treatment primary tumor code similarity ≤ 0.0235, and incomplete pathological remission were independently associated with poor OS (p = 0.019, 0.033, and 0.038, respectively) and DFS (p = 0.049, 0.021, and 0.009, respectively). The three survival prognosticators were used to construct a scoring system (score 0-1, 2, and 3). Patients with a score of 2 or 3 had a significantly worse survival outcome than those with a score of 0-1 (HRs for OS: 3.58 for score 2, and 15.19 for score 3, p < 0.001; HRs for DFS: 1.39 for score 2 and 6.04 for score 3, p = 0.001).This survival prediction model was superior to the traditional TNM staging system (p < 0.001 versus p = 0.061 for OS, and p = 0.001 versus p = 0.027 for DFS) and the model based on surgical pathology (p < 0.001 versus p = 0.049 for OS, and p = 0.001 versus p = 0.022 for DFS).Conclusions: The 18F-FDG PET-derived radiomic parameter is useful for predicting the surgical pathological response in patients with esophageal SqCC treated with the tri-modality method. Using a combination of traditional and radiomic PET parameters with clinical profiles enables better stratification of patients into subgroups with various survival rates. [ABSTRACT FROM AUTHOR]

A 44-year-old female presented with cavernous hemangioma of the posterior mediastinum. Imaging revealed that it was approximately 2 cm in size and without an arterial supply from either the thoracic aorta or intercostal artery. The patient was treated with intraoperative sclerotherapy and hemangioma resection by uniport thoracoscopic surgery via a small 3-cm surgical wound. The surgical outcome and follow-up were good. [ABSTRACT FROM AUTHOR]

Endothelin (ET) causes contraction of the muscularis mucosae in the guinea pig esophagus, but its role in the human esophagus remains unknown. To investigate effects of ET in the human esophagus, we measured contraction of isolated human esophageal muscularis mucosae strips caused by ET related peptides and binding of 125I-ET-1 to cell membranes prepared from the human esophageal muscularis mucosae. Autoradiography demonstrated specific binding of 125I-ET-1 to the muscularis mucosae and muscularis propria (muscularis externa) of the human esophagus. ET-1 caused tetrodotoxin and atropine-insensitive contraction of muscularis mucosae strips. In terms of the maximal tension of contraction, ET-1 and ET-2 were equal in efficacy. The relative potencies for ET related peptides to cause contraction were ET-1=ET-2>ET-3>sarafotoxin S6c (SX6c), an ETB receptor agonist. ET-1 caused contraction was mildly inhibited by BQ-123, an ETA receptor antagonist, and not by BQ-788, an ETB receptor antagonist. It was moderately inhibited by the combination of both antagonists, indicating synergistic inhibition. Furthermore, desensitization to SX6c with SX6c pretreatment failed to abolish the contractile response to ET-1, which was completely inhibited by BQ-123. These indicate the involvement of both ETA and ETB receptors in the contraction. Binding of 125I-ET-1 to cell membranes of the muscularis mucosae was saturable and specific. Analysis of dose–inhibition curves demonstrated the presence of ETA and ETB receptors. This study demonstrates that, the muscularis mucosae of the human esophagus, similar to that of the guinea pig esophagus, possesses both ETA and ETB receptors mediating muscle contraction. [Copyright &y& Elsevier]

We investigated whether the combination of primary tumor and nodal 18F-FDG PET parameters predict survival outcomes in patients with nodal metastatic non-small cell lung cancer (NSCLC) without distant metastasis. We retrospectively extracted pre-treatment 18F-FDG PET parameters from 89 nodal-positive NSCLC patients (stage IIB–IIIC). The Cox proportional hazard model was used to identify independent prognosticators of overall survival (OS) and progression-free survival (PFS). We devised survival stratification models based on the independent prognosticators and compared the model to the American Joint Committee on Cancer (AJCC) staging system using Harrell's concordance index (c-index). Our results demonstrated that total TLG (the combination of primary tumor and nodal total lesion glycolysis) and age were independent risk factors for unfavorable OS (p < 0.001 and p = 0.001) and PFS (both p < 0.001), while the Eastern Cooperative Oncology Group scale independently predicted poor OS (p = 0.022). Our models based on the independent prognosticators outperformed the AJCC staging system (c-index = 0.732 versus 0.544 for OS and c-index = 0.672 versus 0.521 for PFS, both p < 0.001). Our results indicate that incorporating total TLG with clinical factors may refine risk stratification in nodal metastatic NSCLC patients and may facilitate tailored therapeutic strategies in this patient group. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the relationship between pretreatment inflammatory and nutritional biomarkers in patients with esophageal squamous cell carcinoma (ESCC) undergoing neoadjuvant chemotherapy and radiation therapy (nCRT)., Sample & Setting: 213 patients with newly diagnosed stage II-III ESCC who received nCRT at an academic hospital in Taiwan., Methods & Variables: Electronic health record data were used. Records on inflammatory and nutritional biomarkers and clinical outcomes were extracted. Logistic regression analysis was used to predict treatment-related adverse events, Cox regression was used for survival outcomes, and receiver operating characteristic curve analysis was used to determine optimal cutoff values., Results: There was a significant association between low prognostic nutritional index (PNI) and nCRT toxicities and survival. Advanced cancer stage, high platelet-to-lymphocyte ratio, and occurrence of pneumonia/infection were linked to survival outcomes., Implications for Nursing: PNI shows promise in predicting prognosis, helps identify high-risk patients, and enables nurses to apply tailored interventions.

Objective: The performance of 18 F-FDG PET-based radiomics and deep learning in detecting pathological regional nodal metastasis (pN+) in resectable lung adenocarcinoma varies, and their use across different generations of PET machines has not been thoroughly investigated. We compared handcrafted radiomics and deep learning using different PET scanners to predict pN+ in resectable lung adenocarcinoma., Methods: We retrospectively analyzed pretreatment 18 F-FDG PET from 148 lung adenocarcinoma patients who underwent curative surgery. Patients were separated into analog (n = 131) and digital (n = 17) PET cohorts. Handcrafted radiomics and a ResNet-50 deep-learning model of the primary tumor were used to predict pN+ status. Models were trained in the analog PET cohort, and the digital PET cohort was used for cross-scanner validation., Results: In the analog PET cohort, entropy, a handcrafted radiomics, independently predicted pN+. However, the areas under the receiver-operating-characteristic curves (AUCs) and accuracy for entropy were only 0.676 and 62.6%, respectively. The ResNet-50 model demonstrated a better AUC and accuracy of 0.929 and 94.7%, respectively. In the digital PET validation cohort, the ResNet-50 model also demonstrated better AUC (0.871 versus 0.697) and accuracy (88.2% versus 64.7%) than entropy. The ResNet-50 model achieved comparable specificity to visual interpretation but with superior sensitivity (83.3% versus 66.7%) in the digital PET cohort., Conclusion: Applying deep learning across different generations of PET scanners may be feasible and better predict pN+ than handcrafted radiomics. Deep learning may complement visual interpretation and facilitate tailored therapeutic strategies for resectable lung adenocarcinoma., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Approximately 30% of patients experience postoperative complications after surgery for early-stage lung cancer. However, the relationships among meridian energy during lung cancer surgery, changes in quality of life, and prognosis have not been investigated., Purpose: This study was designed to explore the associations among meridian energy, changes in quality of life, and prognosis in patients with newly diagnosed lung cancer undergoing surgery., Methods: A longitudinal, repeated-measures design was used. Basic data forms, meridian energy measurements, and a concise 12-item health status questionnaire were administered to the participants at the time of diagnosis, 2 weeks post-surgery, and 12 weeks post-surgery. During this period, changes were analyzed, and their association with postoperative risks was explored., Results: Forty-eight cases were investigated. Both meridian energy and quality of life were found to be significantly decreased 2 weeks after surgery. The high/low ratio of meridian energy, the physical component score of the Short Form 12-Item Health Survey Questionnaire, gender, cancer stage, and body mass index were identified as significantly associated with prognosis., Conclusions / Implications for Practice: Conclusion/Implications for Practice: The declining trends in meridian energy and quality of life during the 2 weeks after surgery in patients with lung cancer are associated with poor postoperative prognoses. Nurses may use the findings of this study to identify patients at high risk of postoperative complications and develop appropriate strategies to provide comprehensive care.

Objective: Estrogen interacts with a membrane receptor, G protein-coupled estrogen receptor (GPER). It was reported that 17β-estradiol was able to inhibit contraction of the human colon and cause relaxation of the guinea pig gallbladder, however, the involvement of GPER was not clarified. The aim of the present study was to investigate the effect of estrogen on human gallbladder motility and the possible role of GPER., Materials and Methods: Relaxation of human gallbladder strips were measured using isometric transducers. Expression of GPER was evaluated by reverse transcription polymerase chain reaction (PCR), realtime PCR, and immunohistochemistry., Results: In human gallbladder strips, 17β-estradiol and G-1 elicited marked and rapid relaxation, whereas tamoxifen produced mild concentration-dependent relaxation. The relative efficacies to cause relaxation were as follows: 17β-estradiol = G-1 > tamoxifen. The relaxant response of 17β-estradiol was not attenuated by tetrodotoxin or conotoxin GVIA. This implies that nerve stimulation was not involved in the 17β-estradiol-induced gallbladder relaxation. Analysis by reverse transcription PCR and real-time PCR showed that GPER was expressed in the human gallbladder. Further analysis by immunohisto-chemistry revealed that GPER was expressed in the gallbladder muscle. This suggests that 17β-estradiol relaxes the human gallbladder via GPER., Conclusion: These results demonstrate for the first time that 17β-estradiol and GPER agonist G-1 cause relaxation of the human gallbladder, probably through GPER. Estrogen might play an important role in the control of human gallbladder motility., Competing Interests: Conflicts of interest: none.