Accuracy of machine learning in preoperative identification of genetic mutation status in lung cancer: A systematic review and meta-analysis.

BACKGROUND AND PURPOSE: We performed this systematic review and meta-analysis to investigate the performance of ML in detecting genetic mutation status in NSCLC patients. MATERIALS AND METHODS: We conducted a systematic search of PubMed, Cochrane, Embase, and Web of Science up until July 2023. We discussed the genetic mutation status of EGFR, ALK, KRAS, and BRAF, as well as the mutation status at different sites of EGFR. RESULTS: We included a total of 128 original studies, of which 114 constructed ML models based on radiomic features mainly extracted from CT, MRI, and PET-CT data. From a genetic mutation perspective, 121 studies focused on EGFR mutation status analysis. In the validation set, for the detection of EGFR mutation status, the aggregated c-index was 0.760 (95%CI: 0.706-0.814) for clinical feature-based models, 0.772 (95%CI: 0.753-0.791) for CT-based radiomics models, 0.816 (95%CI: 0.776-0.856) for MRI-based radiomics models, and 0.750 (95%CI: 0.712-0.789) for PET-CT-based radiomics models. When combined with clinical features, the aggregated c-index was 0.807 (95%CI: 0.781-0.832) for CT-based radiomics models, 0.806 (95%CI: 0.773-0.839) for MRI-based radiomics models, and 0.822 (95%CI: 0.789-0.854) for PET-CT-based radiomics models. In the validation set, the aggregated c-indexes for radiomics-based models to detect mutation status of ALK and KRAS, as well as the mutation status at different sites of EGFR were all greater than 0.7. CONCLUSION: The use of radiomics-based methods for early discrimination of EGFR mutation status in NSCLC demonstrates relatively high accuracy. However, the influence of clinical variables cannot be overlooked in this process. In addition, future studies should also pay attention to the accuracy of radiomics in identifying mutation status of other genes in EGFR.

Association between albumin-to-globulin ratio and the risk of overall survival in advanced non-small cell lung cancer patients with anlotinib treatment: a retrospective cohort study.

OBJECTIVE: Researches about the association between serum albumin-to-globulin ratio (AGR) and the prognosis of lung cancer are limited. We aimed to investigate the relationship between AGR and overall survival (OS) in patients with advanced non-small-cell lung cancer (NSCLC) treated with anlotinib. METHODS: A retrospective cohort study was conducted on 196 advanced NSCLC patients with anlotinib treatment between June 1, 2018 and June 1, 2021. The exposure was AGR, calculated by baseline serum albumin / (serum total protein - serum albumin). The outcome was OS, defined as the period from the date of initial treatment with anlotinib to death or the last follow-up. The univariate and multivariate linear regression models and generalized additive models (GAM) were used to analyze the relationship between AGR and OS. The Kaplan-Meier method was used to analyze the OS. RESULTS: After adjusting for potential confounders, a non-linear relationship was observed between AGR and OS, which had an inflection point of 1.24. The hazard ratio and the confidence intervals on the left and the right sides of the inflection point were 13.05 (0.52 to 327.64) and 0.20 (0.07 to 0.57), respectively. It suggested that AGR was positively associated with OS when AGR was larger than 1.24, for every 1 unit increase in AGR, the risk of death lowered approximately by 80%. CONCLUSIONS: The relationship between AGR and the OS for advanced NSCLC patients with anlotinib is non-linear. AGR level is an independent protective factor for OS in advanced NSCLC patients who received anlotinib therapy.

Albumin level as an independent predictive factor for adverse outcomes in COVID-19 patients: a retrospective cohort study.

INTRODUCTION: Research on the association between albumin (ALB) level and clinical outcomes of coronavirus disease 2019 (COVID-19) are limited. This study aimed to investigate the relationship between albumin level at the time of admission and adverse outcomes in patients with COVID-19. METHODOLOGY: This was a retrospective cohort study with 199 COVID-19 patients from five designated hospitals in Fujian Province who were enrolled between 22 January and 27 February, 2020. Clinical characteristics and laboratory values at the time of admission were collected. Adverse outcomes were defined as meeting at least one of the following criteria: development of acute respiratory distress syndrome (ARDS), respiratory failure, shock, multiple organ failure (MOF), intensive care unit (ICU) admission and in-hospital mortality event. The univariate and multivariate linear regression models and generalized additive models (GAM) were used to analyze the relationship between ALB and adverse outcomes. RESULTS: A non-linear relationship with an inflection point of 32.6g/L was detected between ALB and adverse outcomes after adjusting for potential confounders. The odds ratio and the confidence intervals on the left and right sides of the inflection point were 0.204 (0.061-0.681) and 0.908 (0.686-1.203), respectively. This suggested that ALB was negatively correlated with adverse outcomes when ALB was less than 32.6 g/L, and for every 1 unit increase in ALB, the risk of adverse outcomes was reduced by 79.6%. CONCLUSIONS: The relationship between ALB and adverse outcomes of COVID-19 is non-linear. ALB level is an independent predictive factor for adverse outcomes in COVID-19 patients.

A case of pulmonary histoplasmosis treated with voriconazole.

Histoplasmosis is an infection caused by the dimorphic fungus Histoplasma capsulatum. The lungs are the most common site of infection, especially in patients with immune deficiency. We report a case of 62-year-old male patient presented with cough for 3 months and had been taking immunosuppressive drugs for 10 years after heart transplantation. Chest CT scan showed multiple pulmonary nodules. Lung tissue biopsy specimen culture suggested fungal infection, and Histoplasma capsulatum was confirmed by next-generation sequencing (NGS) detection. The patient was diagnosed with pulmonary histoplasmosis. After administration of voriconazole for 46 days, the symptom of cough was markedly relieved and the lesions were partly absorbed. After 13 months of treatment, the lesions completely disappeared, and no significant side-effect of voriconazole was observed. To our knowledge, report of voriconazole as the treatment of histoplasmosis is rare, especially in non-endemic areas. Moreover, this case enriches our experience in the adjustment between immunosuppressive and antifungal agents in treating histoplasmosis.