Pulmonary rehabilitation protocols in urgent lung transplantation patients

BACKGROUND:Prolonged invasive respiratory support and extracorporeal membrane oxygenation(ECMO)in patients requiring urgent lung transplantation(ULTx)present signifi cant challenges to clinical practice due to severe underlying diseases and complex conditions.The aim of the study was to report the clinical outcomes of patients who received ULTx and followed the perioperative rehabilitation protocol implemented in a lung transplant center.METHODS:A retrospective analysis was conducted in ULTx patients who required preoperative invasive mechanical ventilation(IMV)and ECMO between January 2018 and January 2023.Data were retrieved from electronic medical records at our lung transplant center.RESULTS:Fourteen patients(mean age 57.43±10.97 years;12 males,2 females)underwent ULTx with bridging ECMO and IMV.The mean body mass index was 23.94±3.33 kg/m²,and the mean Acute Physiology and Chronic Health Evaluation(APACHE)II score was 21.50±3.96.The Nutritional Risk Screening 2002(NRS 2002)scores were≥3.ULTx was performed after an 8.5-day waiting period(interquartile interval[IQR]5.0-26.5 d).Following the surgeries,the average lengths of ECMO and IMV were 1.0(IQR 1.0-2.0)d and 5.0(IQR 3.0-7.3)d,respectively.The total length of hospital stay was 60.1±30.8 d,with an average intensive care unit stay of 38.3±22.9 d and post-operative hospitalization stay of 45.8±26.1 d.Two patients died within 30 d after ULTx,with a 30-day survival rate of 85.71%.CONCLUSION:Patients receiving ULTx showed an acceptable short-term survival rate,validating the practicality and safety of the treatment protocols implemented in our center.

Primary biliary cholangitis presenting with granulomatous lung disease misdiagnosed as lung cancer:A case report

BACKGROUND There are few cases of pulmonary granulomatous changes secondary to primary biliary cirrhosis(PBC).No case of granulomatous lung disease secondary to PBC misdiagnosed as lung cancer had been reported.CASE SUMMARY A middle-aged woman presented with lung nodules and was misdiagnosed with lung cancer by positron emission tomography/computed tomography.She underwent left lobectomy,and the pathology of the nodules showed granulomatous inflammation,which was then treated with antibiotics.However,a new nodule appeared.Further investigation with lung biopsy and liver serology led to the diagnosis of PBC,and chest computed tomography indicated significant reduction in the pulmonary nodule by treatment with methylprednisolone and ursodeoxycholic acid.CONCLUSION Diagnosis of pulmonary nodules requires integrating various clinical data to avoid unnecessary pulmonary lobectomy.

Tongue image feature correlation analysis in benign lung nodules and lung cancer

Objective To analyze the differences in the correlation of tongue image indicators among patients with benign lung nodules and lung cancer.Methods From July 1;2020 to March 31;2022;clinical information of lung cancer patients and benign lung nodules patients was collected at the Oncology Department of Longhua Hos-pital Affiliated to Shanghai University of Traditional Chinese Medicine and the Physical Ex-amination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chi-nese Medicine;respectively.We obtained tongue images from patients with benign lung nod-ules and lung cancer using the TFDA-1 digital tongue diagnosis instrument;and analyzed these images with the TDAS V2.0 software.The extracted indicators included color space pa-rameters in the Lab system for both the tongue body(TB)and tongue coating(TC)(TB/TC-L;TB/TC-a;and TB/TC-b);textural parameters[TB/TC-contrast(CON);TB/TC-angular second moment(ASM);TB/TC-entropy(ENT);and TB/TC-MEAN];as well as TC parameters(perAll and perPart).The bivariate correlation of TB and TC features was analyzed using Pearson’s or Spearman’s correlation analysis;and the overall correlation was analyzed using canonical correlation analysis(CCA).Results Samples from 307 patients with benign lung nodules and 276 lung cancer patients were included after excluding outliers and extreme values.Simple correlation analysis indi-cated that the correlation of TB-L with TC-L;TB-b with TC-b;and TB-b with perAll in lung cancer group was higher than that in benign nodules group.Moreover;the correlation of TB-a with TC-a;TB-a with perAll;and the texture parameters of the TB(TB-CON;TB-ASM;TB-ENT;and TB-MEAN)with the texture parameters of the TC(TC-CON;TC-ASM;TC-ENT;and TC-MEAN)in benign nodules group was higher than lung cancer group.CCA further demon-strated a strong correlation between the TB and TC parameters in lung cancer group;with the first and second pairs of typical variables in benign nodules and lung cancer groups indicat-ing correlation coefficients of 0.918 and 0.817(P<0.05);and 0.940 and 0.822(P<0.05);re-spectively.Conclusion Benign lung nodules and lung cancer patients exhibited differences in correla-tion in the L;a;and b values of the TB and TC;as well as the perAll value of the TC;and the texture parameters(TB/TC-CON;TB/TC-ASM;TB/TC-ENT;and TB/TC-MEAN)between the TB and TC.Additionally;there were differences in the overall correlation of the TB and TC be-tween the two groups.Objective tongue diagnosis indicators can effectively assist in the diag-nosis of benign lung nodules and lung cancer;thereby providing a scientific basis for the ear-ly detection;diagnosis;and treatment of lung cancer.

A Survey of Lung Nodules Detection and Classification from CT Scan Images

In the contemporary era,the death rate is increasing due to lung cancer.However,technology is continuously enhancing the quality of well-being.To improve the survival rate,radiologists rely on Computed Tomography(CT)scans for early detection and diagnosis of lung nodules.This paper presented a detailed,systematic review of several identification and categorization techniques for lung nodules.The analysis of the report explored the challenges,advancements,and future opinions in computer-aided diagnosis CAD systems for detecting and classifying lung nodules employing the deep learning(DL)algorithm.The findings also highlighted the usefulness of DL networks,especially convolutional neural networks(CNNs)in elevating sensitivity,accuracy,and specificity as well as overcoming false positives in the initial stages of lung cancer detection.This paper further presented the integral nodule classification stage,which stressed the importance of differentiating between benign and malignant nodules for initial cancer diagnosis.Moreover,the findings presented a comprehensive analysis of multiple techniques and studies for nodule classification,highlighting the evolution of methodologies from conventional machine learning(ML)classifiers to transfer learning and integrated CNNs.Interestingly,while accepting the strides formed by CAD systems,the review addressed persistent challenges.

Hepatoid adenocarcinoma of the lung:A case report

BACKGROUND Hepatoid adenocarcinoma of the lung(HAL)is a rare type of non-small cell lung cancer(NSCLC),histologically similar to hepatocellular carcinoma.HAL has high malignancy and poor prognosis,and a better treatment plan needs further study.CASE SUMMARY In order to deeply understand the occurrence and development of HAL,here we report a case of HAL with extensive metastasis of alpha fetoprotein negative KRAS A146T mutation.The patient refused chemotherapy and received one course of treatment(immune checkpoint inhibitors),and died three months later due to progressive disease.CONCLUSION HAL is a special type of NSCLC.The surgical treatment of HAL in the limited stage can achieve long-term survival,but most of them were in the advanced stage when they were found,and the prognosis was poor,which requires multidisciplinary comprehensive treatment.

Gastric metastasis of small cell lung carcinoma:A rare but noteworthy entity to consider

Small cell lung carcinoma(SCLC)is an aggressive malignancy known for its propensity for early and extensive metastatic spread.Gastric metastasis,where cancer cells disseminate from the lung to the stomach,is a rare but increasingly recognized complication of SCLC.This review provides a comprehensive overview of gastric metastasis in SCLC,addressing its clinical significance,diagnostic challenges,management strategies,and prognosis.Additionally,it examines the broader metastatic patterns of SCLC and compares them with other malignancies known for gastric metastasis.Gastric metastasis in SCLC,though infrequent,is clinically significant and often indicates advanced disease with a poor prognosis.SCLC typically metastasizes to the liver,brain,bones,and adrenal glands,with the stomach being an unusual site.The incidence of gastric meta-stasis ranges from 1%to 5%in autopsy studies,although this may be underes-timated due to diagnostic difficulties and asymptomatic early lesions.Diagnosing gastric metastasis presents several challenges,including the asymptomatic nature of many cases,limitations of conventional imaging techniques,and difficulties in distinguishing metastatic lesions from primary gastric cancer via endoscopy.Histopathological diagnosis requires careful examination to identify SCLC cells through their characteristic small cell morphology and neuroendocrine markers.Management of gastric metastasis in SCLC typically involves a multidisciplinary approach.Systemic therapy,pri-marily chemotherapy,remains the cornerstone of treatment,with palliative care addressing symptoms and complications.Surgical intervention is usually reserved for specific cases requiring symptomatic relief.The prognosis for patients with gastric metastasis from SCLC is generally poor,reflecting the advanced stage of the disease.Median survival is significantly re-duced compared to patients without gastric metastasis.This review emphasizes the need for enhanced awareness and early detection to improve patient outcomes and highlights the importance of ongoing research into better diagnostic and therapeutic strategies.

Different types of tumor microvessels in stageⅠ-ⅢA squamous cell lung cancer and their clinical significance

BACKGROUND Lung cancer(LC)is the leading cause of morbidity and mortality among malignant neoplasms.Improving the diagnosis and treatment of LC remains an urgent task of modern oncology.Previously,we established that in gastric,breast and cervical cancer,tumor microvessels(MVs)differ in morphology and have different prognostic significance.The connection between different types of tumor MVs and the progression of LC is not well understood.AIM To evaluate the morphological features and clinical significance of tumor MVs in lung squamous cell carcinoma(LUSC).METHODS A single-center retrospective cohort study examined medical records and archival paraffin blocks of 62 and 180 patients with stage I-IIIA LUSC in the training and main cohorts,respectively.All patients underwent radical surgery(R0)at the Orenburg Regional Cancer Clinic from May/20/2009 to December/14/2021.Tumor sections were routinely processed,and routine Mayer's hematoxylin and eosin staining and immunohistochemical staining for cluster of differentiation 34(CD34),podoplanin,Snail and hypoxia-inducible factor-1 alpha were performed.The morphological features of different types of tumor MVs,tumor parenchyma and stroma were studied according to clinicopathological characteristics and LUSC prognosis.Statistical analysis was performed using Statistica 10.0 software.Univariate and multivariate logistic regression analyses were performed to identify potential risk factors for LUSC metastasis to regional lymph nodes(RLNs)and disease recurrence.Receiver operating characteristic curves were constructed to discriminate between patients with and without metastases in RLNs and those with and without disease recurrence.The effectiveness of the predictive models was assessed by the area under the curve.Survival was analyzed using the Kaplan-Meier method.The log-rank test was used to compare survival curves between patient subgroups.A value of P<0.05 was considered to indicate statistical significance.RESULTS Depending on the morphology,we classified tumor vessels into the following types:normal MVs,dilated capillaries(DCs),atypical DCs,DCs with weak expression of CD34,"contact-type"DCs,structures with partial endothelial linings,capillaries in the tumor solid component and lymphatic vessels in lymphoid and polymorphocellular infiltrates.We also evaluated the presence of loose,fine fibrous connective tissue(LFFCT)and retraction clefts in the tumor stroma,tumor spread into the alveolar air spaces(AASs)and fragmentation of the tumor solid component.According to multivariate analysis,the independent predictors of LUSC metastasis in RLNs were central tumor location(P<0.00001),the presence of retraction clefts(P=0.003),capillaries in the tumor solid component(P=0.023)and fragmentation in the tumor solid component(P=0.009),whereas the independent predictors of LUSC recurrence were tumor grade 3(G3)(P=0.001),stage N2(P=0.016),the presence of LFFCT in the tumor stroma(P<0.00001),fragmentation of the tumor solid component(P=0.0001),and the absence of tumor spread through the AASs(P=0.0083).CONCLUSION The results obtained confirm the correctness of our previously proposed classification of different types of tumor vessels and may contribute to improving the diagnosis and treatment of LUSC.

Predictors of disease recurrence after radical resection and adjuvant chemotherapy in patients with stage IIb-IIIa squamous cell lung cancer:A retrospective analysis

BACKGROUND Lung cancer(LC)is a global medical,social and economic problem and is one of the most common cancers and the leading cause of mortality from malignant neoplasms.LC is characterized by an aggressive course,and in the presence of disease recurrence risk factors,patients,even at an early stage,may be indicated for adjuvant therapy to improve survival.However,combined treatment does not always guarantee a favorable prognosis.In this regard,establishing predictors of LC recurrence is highly important both for determining the optimal treatment plan for the patients and for evaluating its effectiveness.AIM To establish predictors of disease recurrence after radical resection and adjuvant chemotherapy in patients with stage IIb-IIIa lung squamous cell carcinoma(LSCC).METHODS A retrospective case-control cohort study included 69 patients with LSCC who underwent radical surgery at the Orenburg Regional Clinical Oncology Center from 2009 to 2018.Postoperatively,all patients received adjuvant chemotherapy.Histological samples of the resected lung were stained with Mayer's hematoxylin and eosin and examined under a light microscope.Univariate and multivariate analyses were used to identify predictors associated with the risk of disease recurrence.Receiver operating characteristic curves were constructed to discriminate between patients with a high risk of disease recurrence and those with a low risk of disease recurrence.Survival was analyzed using the Kaplan-Meier method.The log-rank test was used to compare survival curves between patient subgroups.Differences were considered to be significant at P<0.05.RESULTS The following predictors of a high risk of disease recurrence in patients with stage IIb-IIa LSCC were established:a low degree of tumor differentiation[odds ratio(OR)=7.94,95%CI=1.08-135.81,P=0.049];metastases in regional lymph nodes(OR=5.67,95%CI=1.09-36.54,P=0.048);the presence of loose,fine-fiber connective tissue in the tumor stroma(OR=21.70,95%CI=4.27-110.38,P=0.0002);and fragmentation of the tumor solid component(OR=2.53,95%CI=1.01-12.23,P=0.049).The area under the curve of the predictive model was 0.846(95%CI=0.73-0.96,P<0.0001).The sensitivity,accuracy and specificity of the method were 91.8%,86.9%and 75.0%,respectively.In the group of patients with a low risk of LSCC recurrence,the 1-,2-and 5-year disease-free survival(DFS)rates were 84.2%,84.2%and 75.8%,respectively,while in the group with a high risk of LSCC recurrence the DFS rates were 71.7%,40.1%and 8.2%,respectively(P<0.00001).Accordingly,in the first group of patients,the 1-,2-and 5-year overall survival(OS)rates were 94.7%,82.5%and 82.5%,respectively,while in the second group of patients,the OS rates were 89.8%,80.1%and 10.3%,respectively(P<0.00001).CONCLUSION The developed method allows us to identify a group of patients at high risk of disease recurrence and to adjust to ongoing treatment.

Research progress on lung cancer stem cells in epidermal growth factor receptor–tyrosine kinase inhibitor targeted therapy resistance in lung adenocarcinoma

Lung cancer is the leading cause of cancer-related deaths globally.In recent years,with the widespread use of genetic testing,epidermal growth factor receptor–tyrosine kinase inhibitor(EGFR-TKI)–targeted drugs have been efficacious to patients with lung adenocarcinoma exhibiting EGFR mutations.However,resistance to treatment is inevitable and eventually leads to tumor progression,recurrence,and reduction in the overall treatment efficacy.Lung cancer stem cells play a crucial role in the development of resistance toward EGFR-TKI–targeted therapy for lung adenocarcinoma.Lung cancer stem cells possess self-renewal,multilineage differentiation,and unlimited proliferation capabilities,which efficiently contribute to tumor formation and ultimately lead to tumor recurrence andmetastasis.In this study,we evaluated the origin,markers,stemness index,relevant classic studies,resistance mechanisms,related signaling pathways,and strategies for reversing lung cancer stem cell resistance to EGFR-TKIs to provide new insights on delaying or reducing resistance and to improve the treatment efficacy of patients with EGFR-mutated lung adenocarcinoma in the future.

Effect of N-Acetylcysteine Combined with Lung Rehabilitation Therapy on Exercise Endurance and Quality of Life of Patients with Rheumatoid Arthritis-Related Interstitial Lung Disease

Objective:To explore the effect of N-acetylcysteine combined with lung rehabilitation therapy on exercise endurance and quality of life in patients with rheumatoid arthritis-related interstitial lung disease(RA-ILD).Methods:Fifty-six patients with RA-ILD admitted to Xijing Hospital from May 2022 to January 2024 were randomly divided into two groups:a non-rehabilitation group and a pulmonary rehabilitation group,with 28 patients in each group.Both groups received routine treatment.Additionally,the non-rehabilitation group received N-acetylcysteine treatment,while the lung rehabilitation group received lung rehabilitation treatment in addition to N-acetylcysteine.The improvement in exercise endurance and dyspnea between the two groups after treatment was compared and the quality of life of the patients was observed.Results:After treatment,the exercise endurance score in the lung rehabilitation group(335.67±45.29)was higher than that in the non-rehabilitation group(P<0.05).The dyspnea score in the lung rehabilitation group(0.72±0.16)was lower than that in the non-rehabilitation group(P<0.05).Additionally,FVC(3.18±0.58 L),FEV1(2.28±0.56 L),FEV1/FVC(69.69±5.56),and DLCO(60.53±5.92 mL/mmHg/min)were higher in the lung rehabilitation group compared to the non-rehabilitation group after treatment(P<0.05).Conclusion:Lung rehabilitation therapy combined with N-acetylcysteine treatment can effectively improve dyspnea symptoms,lung function,and exercise endurance in patients with RA-ILD.This approach helps to improve patient’s quality of life and is beneficial for their prognosis.

Influence of Gut and Lung Microbiota and the Gut-Lung Axis on Bronchopulmonary Dysplasia

Bronchopulmonary dysplasia(BPD),also known as neonatal chronic lung disease,is a common respiratory disease in preterm infants.Preterm infants with BPD often exhibit changes in gut and lung microbiota.In recent years,with the development of high-throughput sequencing technology,more and more mechanisms of the gut-lung axis have been confirmed,helping to explore new directions for the treatment of BPD using microecological agents.This paper reviews the roles of gut microbiota,lung microbiota,and the gut-lung axis in the pathogenesis of BPD in preterm infants,providing new research avenues for the prevention and treatment of BPD.

Secondary metabolites of mulberry leaves exert anti-lung cancer activity through regulating the PD-L1/PD-1 signaling pathway

Lung cancer ranks the top of malignancies that cause cancer-related deaths worldwide.The leaves of Morus alba L are traditional Chinese medicine widely applied in respiratory diseases.Our previous work has demonstrated the anti-lung cancer effect of secondary metabolites of mulberry leaf,but their mechanism of action has still not fully elucidated.We synthesized Moracin N(MAN)-Probe conjugated with alkyne to label lung cancer cells and identified protein targets by chemical proteomic analysis.MAN and its probe exerted similar growth-inhibitory effect on human lung cancer cells.Chemical proteomic results showed that MAN targeted the programmed death ligand 1(PD-L1)checkpoint pathway and T cell receptor(TCR)signaling pathway,indicating its immune-regulatory function.Cell-free surface plasmon resonance(SPR)results showed the direct interaction of MAN with PD-L1 protein.Molecular docking analysis demonstrated that MAN bound to E158 residue of PD-L1 protein.MAN downregulated the expression levels of PD-L1 in a time-and dose-dependent manner and disrupted the PD-L1/programmed death 1(PD-1)binding,including other secondary metabolites of mulberry leaves Guangsangon E(GSE)and Chalcomoracin(CMR).Human peripheral blood mononuclear cells(PBMCs)co-cultured with MAN-treated A549 cells,resulting in the increase of CD8^(+)GZMB^(+)T cells and the decrease of CD8^(+)PD-1^(+)T cells.It suggested that MAN exerts anti-cancer effect through blocking the PD-L1/PD-1 signaling.In vivo,MAN combined with anti-PD-1 antibody significantly inhibited lung cancer development and metastasis,indicating their synergistic effect.Taken together,secondary metabolites of mulberry leaves target the PD-L1/PD-1 signaling,enhance T cell-mediated immunity and inhibit the tumorigenesis of lung cancer.Their modulatory effect on tumor microenvironment makes them able to enhance the therapeutic efficacy of immune checkpoint inhibitors in lung cancer.

Multilevel Attention Unet Segmentation Algorithmfor Lung Cancer Based on CT Images

Lung cancer is a malady of the lungs that gravely jeopardizes human health.Therefore,early detection and treatment are paramount for the preservation of human life.Lung computed tomography(CT)image sequences can explicitly delineate the pathological condition of the lungs.To meet the imperative for accurate diagnosis by physicians,expeditious segmentation of the region harboring lung cancer is of utmost significance.We utilize computer-aided methods to emulate the diagnostic process in which physicians concentrate on lung cancer in a sequential manner,erect an interpretable model,and attain segmentation of lung cancer.The specific advancements can be encapsulated as follows:1)Concentration on the lung parenchyma region:Based on 16-bit CT image capturing and the luminance characteristics of lung cancer,we proffer an intercept histogram algorithm.2)Focus on the specific locus of lung malignancy:Utilizing the spatial interrelation of lung cancer,we propose a memory-based Unet architecture and incorporate skip connections.3)Data Imbalance:In accordance with the prevalent situation of an overabundance of negative samples and a paucity of positive samples,we scrutinize the existing loss function and suggest a mixed loss function.Experimental results with pre-existing publicly available datasets and assembled datasets demonstrate that the segmentation efficacy,measured as Area Overlap Measure(AOM)is superior to 0.81,which markedly ameliorates in comparison with conventional algorithms,thereby facilitating physicians in diagnosis.

Gastric metastasis of small cell lung carcinoma:Three case reports and review of literature

BACKGROUND Small cell lung carcinoma(SCLC)is highly susceptible to metastasis in the early stages of the disease.However,the stomach is an uncommon site of metastasis in SCLC,and only a few cases of this type of metastasis have been reported.Therefore,SCLC gastric metastases have not been systematically characterized and are easily missed and misdiagnosed.CASE SUMMARY We report three cases of gastric metastasis from SCLC in this article.The first patient presented primarily with cough,hemoptysis,and epigastric fullness.The other two patients presented primarily with abdominal discomfort,epigastric distension,and pain.All patients underwent gastroscopy and imaging examinations.Meanwhile,the immunohistochemical results of the lesions in three patients were suggestive of small cell carcinoma.Finally,the three patients were diagnosed with gastric metastasis of SCLC through a comprehensive analysis.The three patients did not receive appropriate treatment and died within a short time.CONCLUSION Here,we focused on summarizing the characteristics of gastric metastasis of SCLC to enhance clinicians'understanding of this disease.

Imbalance of Circulating Follicular Regulatory and Follicular Helper T Cell Subpopulations Is Associated with Disease Progression and Serum CYFRA 21-1 Levels in Patients with Non-small Cell Lung Cancer

Objective This study aimed to investigate the changes of follicular helper T(TFH)and follicular regulatory T(TFR)cell subpopulations in patients with non-small cell lung cancer(NSCLC)and their significance.Methods Peripheral blood was collected from 58 NSCLC patients at different stages and 38 healthy controls.Flow cytometry was used to detect TFH cell subpopulation based on programmed death 1(PD-1)and inducible co-stimulator(ICOS),and TFR cell subpopulation based on cluster determinant 45RA(CD45RA)and forkhead box protein P3(FoxP3).The levels of interleukin-10(IL-10),interleukin-17a(IL-17a),interleukin-21(IL-21),and transforming growth factor-β(TGF-β)in the plasma were measured,and changes in circulating B cell subsets and plasma IgG levels were also analyzed.The correlation between serum cytokeratin fragment antigen 21-1(CYFRA 21-1)levels and TFH,TFR,or B cell subpopulations was further explored.Results The TFR/TFH ratio increased significantly in NSCLC patients.The CD45RA^(+)FoxP3^(int) TFR subsets were increased,with their proportions increasing in stages Ⅱ to Ⅲ and decreasing in stage IV.PD-1^(+)ICOS+TFH cells showed a downward trend with increasing stages.Plasma IL-21 and TGF-β concentrations were increased in NSCLC patients compared with healthy controls.Plasmablasts,plasma IgG levels,and CD45RA^(+)FoxP3^(int) TFR cells showed similar trends.TFH numbers and plasmablasts were positively correlated with CYFRA 21-1 in stages Ⅰ-Ⅲ and negatively correlated with CYFRA 21-1 in stage IV.Conclusion Circulating TFH and TFR cell subpopulations and plasmablasts dynamically change in different stages of NSCLC,which is associated with serum CYFRA 21-1 levels and reflects disease progression.

Nursing effect of narrative nursing intervention on postoperative patients with severe lung cancer

BACKGROUND Lung cancer is a common disease with high mortality,and psychological support is very important in the diagnosis and treatment of postoperative patients with cancer pain.AIM To explore the application effect of the narrative nursing method in postoperative lung cancer patients in the intensive care unit.METHODS A total of 120 patients diagnosed with lung cancer and experiencing cancer-related pain were randomly allocated into two groups:an observation group and a control group,each consisting of 60 cases.The control group was given routine analgesic and psychological care,while the research group applied the five-step narrative nursing method based on routine care,comparing the visual analogue scale scores,sleep status,anxiety and depression status,and quality of life of the two groups of patients before and after the intervention.RESULTS The pain scores,anxiety scores,and depression scores of the study group were lower than those of the control group after the intervention using the narrative nursing method,and the difference was statistically significant(P<0.05).CONCLUSION Using narrative nursing methods to intervene in patients with lung cancer combined with cancerous pain can help patients to correctly recognize their disease,adjust their mentality,establish confidence,alleviate patients'subjective pain feelings,and improve their adverse emotions.

Influence of initial check, information exchange, final accuracy check, reaction information nursing on the psychology of elderly with lung cancer

BACKGROUND As one of the fatal diseases with high incidence,lung cancer has seriously endangered public health and safety.Elderly patients usually have poor self-care and are more likely to show a series of psychological problems.AIM To investigate the effectiveness of the initial check,information exchange,final accuracy check,reaction(IIFAR)information care model on the mental health status of elderly patients with lung cancer.METHODS This study is a single-centre study.We randomly recruited 60 elderly patients with lung cancer who attended our hospital from January 2021 to January 2022.These elderly patients with lung cancer were randomly divided into two groups,with the control group taking the conventional propaganda and education and the observation group taking the IIFAR information care model based on the conventional care protocol.The differences in psychological distress,anxiety and depression,life quality,fatigue,and the locus of control in psychology were compared between these two groups,and the causes of psychological distress were analyzed.RESULTS After the intervention,Distress Thermometer,Hospital Anxiety and Depression Scale(HADS)for anxiety and the HADS for depression,Revised Piper’s Fatigue Scale,and Chance Health Locus of Control scores were lower in the observation group compared to the pre-intervention period in the same group and were significantly lower in the observation group compared to those of the control group(P<0.05).After the intervention,Quality of Life Questionnaire Core 30(QLQ-C30),Internal Health Locus of Control,and Powerful Others Health Locus of Control scores were significantly higher in the observation and the control groups compared to the pre-intervention period in their same group,and QLQ-C30 scores were significantly higher in the observation group compared to those of the control group(P<0.05).CONCLUSION The IIFAR information care model can help elderly patients with lung cancer by reducing their anxiety and depression,psychological distress,and fatigue,improving their tendencies on the locus of control in psychology,and enhancing their life qualities.

Enhanced recovery after surgery in elderly patients with non-small cell lung cancer who underwent video-assisted thoracic surgery

BACKGROUND This study was designed to investigate the clinical outcomes of enhanced recovery after surgery(ERAS)in the perioperative period in elderly patients with nonsmall cell lung cancer(NSCLC).AIM To investigate the potential enhancement of video-assisted thoracic surgery(VATS)in postoperative recovery in elderly patients with NSCLC.METHODS We retrospectively analysed the clinical data of 85 elderly NSCLC patients who underwent ERAS(the ERAS group)and 327 elderly NSCLC patients who received routine care(the control group)after VATS at the Department of Thoracic Surgery of Peking University Shenzhen Hospital between May 2015 and April 2017.After propensity score matching of baseline data,we analysed the postoperative stay,total hospital expenses,postoperative 48-h pain score,and postoperative complication rate for the 2 groups of patients who underwent lobectomy or sublobar resection.RESULTS After propensity score matching,ERAS significantly reduced the postoperative hospital stay(6.96±4.16 vs 8.48±4.18 d,P=0.001)and total hospital expenses(48875.27±18437.5 vs 55497.64±21168.63 CNY,P=0.014)and improved the satisfaction score(79.8±7.55 vs 77.35±7.72,P=0.029)relative to those for routine care.No significant between-group difference was observed in postoperative 48-h pain score(4.68±1.69 vs 5.28±2.1,P=0.090)or postoperative complication rate(21.2%vs 27.1%,P=0.371).Subgroup analysis showed that ERAS significantly reduced the postoperative hospital stay and total hospital expenses and increased the satisfaction score of patients who underwent lobectomy but not of patients who underwent sublobar resection.CONCLUSION ERAS effectively reduced the postoperative hospital stay and total hospital expenses and improved the satisfaction score in the perioperative period for elderly NSCLC patients who underwent lobectomy but not for patients who underwent sublobar resection.

Advanced Lung Adenocarcinoma with EGFR 19-del Mutation Transformed into SCC after EGFR-tyrosine Kinase inhibitors Treatment:A Case report

BACKGROUND Epidermal growth factor receptor tyrosine kinase inhibitors(EGFR-TKIs)significantly improve the survival of patients with Epidermal growth factor receptor(EGFR)sensitive mutations in non-small cell lung cancer(NSCLC).CASE SUMMARY A 67-year-old female patient in advanced lung adenocarcinoma suffered from drug resistance after EGFR-TKIs treatment.Secondary pathological tissue biopsy confirmed squamous cell carcinoma(SCC)transformation.Patients inevitably encountered drug resistance issues after receiving EGFR-TKIs treatment for a certain period of time,while EGFR-TKIs can significantly improve the survival of patients with EGFR-sensitive mutations in NSCLC.Notably,EGFR-TKIs resistance includes primary and acquired.Pathological transformation is one of the mechanisms of acquired resistance in EGFR-TKIs,with SCC transformation being relatively rare.Our results provide more detailed results of the patient’s diagnosis and treatment process on SCC transformation after EGFR-TKIs treatment for lung adenocarcinoma.CONCLUSION Squamous cell carcinoma transformation is one of the acquired resistance mechanisms of EGFR-TKIs in advanced lung adenocarcinoma with EGFR mutations.

Empowering Diagnosis: Cutting-Edge Segmentation and Classification in Lung Cancer Analysis

Lung cancer is a leading cause of global mortality rates.Early detection of pulmonary tumors can significantly enhance the survival rate of patients.Recently,various Computer-Aided Diagnostic(CAD)methods have been developed to enhance the detection of pulmonary nodules with high accuracy.Nevertheless,the existing method-ologies cannot obtain a high level of specificity and sensitivity.The present study introduces a novel model for Lung Cancer Segmentation and Classification(LCSC),which incorporates two improved architectures,namely the improved U-Net architecture and the improved AlexNet architecture.The LCSC model comprises two distinct stages.The first stage involves the utilization of an improved U-Net architecture to segment candidate nodules extracted from the lung lobes.Subsequently,an improved AlexNet architecture is employed to classify lung cancer.During the first stage,the proposed model demonstrates a dice accuracy of 0.855,a precision of 0.933,and a recall of 0.789 for the segmentation of candidate nodules.The suggested improved AlexNet architecture attains 97.06%accuracy,a true positive rate of 96.36%,a true negative rate of 97.77%,a positive predictive value of 97.74%,and a negative predictive value of 96.41%for classifying pulmonary cancer as either benign or malignant.The proposed LCSC model is tested and evaluated employing the publically available dataset furnished by the Lung Image Database Consortium and Image Database Resource Initiative(LIDC-IDRI).This proposed technique exhibits remarkable performance compared to the existing methods by using various evaluation parameters.