Objective:To clarify the changes in incidence and mortality of various cancers based on analysis on registration data of malignant tumor incidence and mortality from Dehui City and Yanji City in Jilin Province.Methods:The incidence and mortality data of malignant tumors from 2009 to 2016 in Dehui City and Yanji City in Jilin Province,were collected from the Chinese Cancer Registry Annual Report published by the National Cancer Center.The number of cases,deaths,crude incidence rate,crude mortality rate,age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and annual percentage change(APC)of the malignant tumors were analyzed by cancer sites and genders.Results:From 2009 to 2016,the CIR of malignant tumors in Dehui City(APC=1.2%,P=0.019)and Yanji City(APC=3.6%,P=0.058)showed an increasing trend.After standard population age adjustment,the ASIR in males in Dehui City showed a significant decline(APC=-5.7%,P=0.021),while the ASIR in females exhibited an overall downward trend,but the difference was not significant(APC=-2.2%,P=0.111).In Yanji City,the ASIR in males(APC=-1.4%,P=0.535)and females(APC=0.0%,P=0.988)showed no significant changes.The CMR of malignant tumors in Dehui City(APC=1.9%,P=0.001)and Yanji City(APC=5.9%,P=0.001)showed a continuous upward trend.After age-standardization,the ASMR in males(APC=-3.1%,P=0.100)and females(APC=-4.2%,P=0.053)in Dehui City,as well as in males(APC=-1.3%,P=0.438)in Yanji City,showed a slight downward trend.Although the ASMR in females in Yanji City showed a slight increase,the difference was not statistically significant(APC=0.5%,P=0.838).In 2016,the most common malignant tumor in terms of both incidence and mortality in Dehui City was lung cancer,with a CIR of 60.76/100 000 and a CMR of 46.96/100 000.In Yanji City,the most common malignant tumor was liver cancer,with a CIR of 49.04/100 000 and a CMR of 51.09/100 000.Conclusion:Lung cancer,liver cancer,and gastric cancer are the major malignant tumors threatening residents in Dehui City,Yanji City,and even the entire Jilin Province,and should be prioritized in cancer prevention and control efforts.Early diagnosis and treatment should be strengthened.

Objective:To systematically evaluate the predictive value of the reverse shock index multiplied by the Glasgow coma scale score (rSIG) for mortality of trauma patients.Methods:A comprehensive literature search was conducted to identify studies on the predictive value of rSIG for mortality of trauma patients in the following databases from inception to April 2025, including CNKI, Wanfang Data, SinoMed, PubMed, Cochrane Library, Web of Science, and Embase. Two investigators independently screened the literature, extracted data, and assessed study quality according to predefined inclusion and exclusion criteria. The Quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was used to evaluate the risk of bias in the included studies. Meta analysis was performed using Stata 17.0 software with a bivariate mixed-effects model. The following metrics were used to assess the predictive value of rSIG for mortality in trauma patients, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) curve (AUC). The influence of various factors on the predictive performance of rSIG was examined, including injury type, study design, region, sample size, cut-off value, rSIG measurement time, and outcome measures. Additionally, sensitivity analysis, Fagan′s nomogram, and Deeks′ funnel plot were employed to assess the robustness of the findings, clinical applicability, and publication bias.Results:A total of 15 studies involving 710 612 trauma patients were included, 26 105 of whom were deceased. Meta analysis results showed that rSIG had a pooled sensitivity of 0.78(95% CI 0.71, 0.84), a pooled specificity of 0.78(95% CI 0.68, 0.86), a pooled PLR of 3.60(95% CI 2.46, 5.27), a pooled NLR of 0.28(95% CI 0.22, 0.36), a pooled DOR of 12.70(95% CI 8.10, 19.91), and an AUC of 0.85(95% CI 0.81, 0.87) for predicting mortality of trauma patients. Subgroup analysis identified injury type as one of the major sources of heterogeneity, and the predictive specificity of rSIG was significantly higher in patients with multiple trauma (0.82) than in those with isolated traumatic brain injury (0.65) ( P<0.05). Sensitivity analysis indicated that the findings were robust and stable. Fagan′s nomogram showed that when the pre-test probability was 7%, the post-test probability of death increased to 21% in patients with low rSIG and decreased to 2% in those with high rSIG. Deeks′ funnel plots suggested no significant publication bias among the included studies ( P>0.05). Conclusion:Low rSIG has good predictive performance for mortality of trauma patients and can serve as an effective tool for early and rapid prognosis assessment with superior predictive performance in patients with multiple trauma compared to those with traumatic brain injury.

In recent years, immunotherapy has become another important treatment for non-small cell lung cancer (NSCLC) after surgery, radiotherapy, chemotherapy and targeted therapy. As an emerging non-invasive tool, PET/CT radiomics provides a new way for precise diagnosis and treatment of NSCLC by quantitatively analyzing the metabolic and structural characteristics of tumors, demonstrating significant promise for applications in NSCLC immunotherapy. This article aims to review the research progress of PET/CT radiomics in NSCLC immunotherapy and to explore its potential value in predicting biomarkers, therapeutic efficacy, adverse effects, and evaluating prognosis.

Objective:To systematically evaluate the predictive value of the reverse shock index multiplied by the Glasgow coma scale score (rSIG) for mortality of trauma patients.Methods:A comprehensive literature search was conducted to identify studies on the predictive value of rSIG for mortality of trauma patients in the following databases from inception to April 2025, including CNKI, Wanfang Data, SinoMed, PubMed, Cochrane Library, Web of Science, and Embase. Two investigators independently screened the literature, extracted data, and assessed study quality according to predefined inclusion and exclusion criteria. The Quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was used to evaluate the risk of bias in the included studies. Meta analysis was performed using Stata 17.0 software with a bivariate mixed-effects model. The following metrics were used to assess the predictive value of rSIG for mortality in trauma patients, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) curve (AUC). The influence of various factors on the predictive performance of rSIG was examined, including injury type, study design, region, sample size, cut-off value, rSIG measurement time, and outcome measures. Additionally, sensitivity analysis, Fagan′s nomogram, and Deeks′ funnel plot were employed to assess the robustness of the findings, clinical applicability, and publication bias.Results:A total of 15 studies involving 710 612 trauma patients were included, 26 105 of whom were deceased. Meta analysis results showed that rSIG had a pooled sensitivity of 0.78(95% CI 0.71, 0.84), a pooled specificity of 0.78(95% CI 0.68, 0.86), a pooled PLR of 3.60(95% CI 2.46, 5.27), a pooled NLR of 0.28(95% CI 0.22, 0.36), a pooled DOR of 12.70(95% CI 8.10, 19.91), and an AUC of 0.85(95% CI 0.81, 0.87) for predicting mortality of trauma patients. Subgroup analysis identified injury type as one of the major sources of heterogeneity, and the predictive specificity of rSIG was significantly higher in patients with multiple trauma (0.82) than in those with isolated traumatic brain injury (0.65) ( P<0.05). Sensitivity analysis indicated that the findings were robust and stable. Fagan′s nomogram showed that when the pre-test probability was 7%, the post-test probability of death increased to 21% in patients with low rSIG and decreased to 2% in those with high rSIG. Deeks′ funnel plots suggested no significant publication bias among the included studies ( P>0.05). Conclusion:Low rSIG has good predictive performance for mortality of trauma patients and can serve as an effective tool for early and rapid prognosis assessment with superior predictive performance in patients with multiple trauma compared to those with traumatic brain injury.

In recent years, immunotherapy has become another important treatment for non-small cell lung cancer (NSCLC) after surgery, radiotherapy, chemotherapy and targeted therapy. As an emerging non-invasive tool, PET/CT radiomics provides a new way for precise diagnosis and treatment of NSCLC by quantitatively analyzing the metabolic and structural characteristics of tumors, demonstrating significant promise for applications in NSCLC immunotherapy. This article aims to review the research progress of PET/CT radiomics in NSCLC immunotherapy and to explore its potential value in predicting biomarkers, therapeutic efficacy, adverse effects, and evaluating prognosis.

Objective:To investigate the effects of silicon photomutipliers (SiPM) detector and Bayesian penalized likelihood (BPL) reconstruction algorithm on semiquantitative parameters of 18F-FDG PET/CT and diagnostic efficiency for solitary pulmonary nodules/masses compared with traditional photomultiplier tube (PMT) and ordered subsets expectation maximization (OSEM). Methods:From March 2020 to January 2022, 118 patients (76 males, 42 females, age (63.0±10.1) years) newly diagnosed with solitary pulmonary nodules/masses in First Hospital of Shanxi Medical University were prospectively enrolled and underwent 18F-FDG PET/CT imaging with two different PET/CT scanners successively. The images were divided into PMT+ OSEM, SiPM+ OSEM and SiPM+ BPL groups according to PET detector and reconstruction algorithms. The SUV max, SUV mean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of pulmonary nodules/masses were measured, then signal-to-noise ratio (SNR) and signal-to-background ratio (SBR) were calculated. One-way analysis of variance and Kruskal-Wallis rank sum test were performed to compare differences of above parameters among groups. ROC curve analysis was used to analyze the optimal threshold of SUV max for the differential diagnosis of pulmonary nodules/masses and AUCs were obtained. Results:There were 83 malignant nodules and 35 benign nodules. The image quality of SiPM+ BPL group (4.23±0.64) was better than that of SiPM+ OSEM group (3.57±0.50) or PMT+ OSEM group (3.58±0.51; F=54.85, P<0.001). There were significant differences in SUV max (7.57(3.86, 15.61) vs 4.95(2.22, 10.48)), SUV mean (4.43(2.28, 9.12) vs 2.84(1.21, 5.71)), MTV (3.54(1.57, 7.67) vs 5.09(2.83, 11.79)), SNR (28.12(12.55, 54.38) vs 20.16(8.29, 41.45)) and SBR (4.03(1.83, 7.75) vs 2.32(0.96, 5.03)) between SiPM+ BPL and SiPM+ OSEM groups ( H values: 16.63-37.05, all P<0.001). The optimal threshold values of SUV max in SiPM+ BPL, SiPM+ OSEM and PMT+ OSEM were 3.31, 2.21, 2.05 with AUCs of 0.686, 0.689, 0.615 for nodules < 2 cm, and were 10.29, 6.49, 4.33 with AUCs of 0.775, 0.782, 0.774 for nodules/masses ≥2 cm. Conclusions:Image quality and parameters of pulmonary nodules/masses are mainly affected by the reconstruction algorithms. BPL can improve SUV max, SUV mean, SBR and SNR, but reduce MTV without significant effect on liver parameters. SiPM+ BPL has a higher diagnostic threshold of SUV max than SiPM+ OSEM and PMT+ OSEM.

Objective:To investigate the effect of transcatheter arterial chemoembolization (TACE) combined with ultrasound-guided radiofrequency ablation (RFA) on the efficacy and immune function in patients with primary liver cancer.Methods:The clinical data of 152 patients with primary liver cancer from February 2019 to February 2021 in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively analyzed. Among them, 76 patients were treated with TACE combined with RFA (combined group), and 76 patients were treated with TACE (control group). The efficacy was compared; the α-L fucosidase, T lymphocyte subsets (CD 3, CD 4, CD 8 and CD 4/CD 8), B lymphocyte subsets (CD 19) and tumor markers (alpha-fetoprotein, AFP; carcinoembryonic antigen, CEA; carbohydrate antigen 125, CA125) before treatment and 1 month after treatment were detected. Results:The total clinical effective rate in combined group was significantly higher than that in control group: 81.58% (62/76) vs. 52.63% (40/76), and there was statistical difference ( χ2 = 4.54, P<0.05). There were no statistical difference in all indexes before treatment between 2 groups ( P>0.05); the α-L fucosidase, AFP and CD 8 1 month after treatment in combined group were significantly lower than those in control group: (18.06 ± 5.33) U/L vs. (26.58 ± 7.75) U/L, (87.93 ± 22.55) μg/L vs. (146.83 ± 21.85) μg/L and 0.295 ± 0.052 vs. 0.367 ± 0.064, the CD 3, CD 4 and CD 4/CD 8 were significantly higher than those in control group (0.489 ± 0.054 vs. 0.462 ± 0.063, 0.363 ± 0.059 vs. 0.303 ± 0.075 and 1.43 ± 0.27 vs. 0.89 ± 0.14), and there were statistical differences ( P<0.01 or<0.05); there was no statistical difference in CEA, CA125 and CD 19 1 month after treatment between 2 groups ( P>0.05). Conclusions:TACE combined with RFA in the treatment of primary liver cancer patients can not only improve the total clinical effective rate, but also significantly improve the immune function, and help to reduce level of the liver tumor marker of AFP.

Objective:To investigate the correlation between neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and central lymph node metastasis (CLNM) in patients with cN0 papillary thyroid microcarcinoma (PTMC).Methods:The clinicopathological data of PTMC patients confirmed by surgery and pathology in the 81 st Military Hospital of People′s Liberation Army from 2016 to 2019 were collected, and the relationship between preoperative NLR, PLR levels and postoperative PTMC CLNM were analyzed. Logistic regression analysis was used for multivariate analysis. Receiver operating characteristic (ROC) curve was used to determine the cutoff value of NLR and PLR. The interaction relative excess risk was used to analyze the relationship between NLR, PLR and CLNM. Results:Among 220 patients with cN0 stage PTMC, 92 were CLNM. The ROC curve showed that when the cutoff value of NLR was 2.5 and the cutoff value of PLR was 175, the highest Youden index was 0.318 and 0.264, respectively. NLR and PLR were both related to CLNM ( P<0.05). The tumor long diameter, multifocality, NLR≥2.5 and PLR≥175 were independent impact factors of CLNM ( P<0.05). The results of the interaction showed that the relative excess risk of the interaction was 5.531 (95% CI: 0.160, 10.901, P=0.016), the attribution ratio was 0.512 (95% CI: 0.230, 0.794, P=0.009), and the synergy index was 2.294 (95% CI: 1.492, 4.579, P=0.022), suggested that NLR and PLR had an interactive effect, and these two synergistically promoted CLNM. Conclusions:NLR and PLR are independent risk factors for cN0 stage PTMC CLNM. When NLR≥2.5 and PLR≥175, preventive central lymph node dissection should be routinely performed.

Objective:To investigate the correlation between neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and central lymph node metastasis (CLNM) in patients with cN0 papillary thyroid microcarcinoma (PTMC).Methods:The clinicopathological data of PTMC patients confirmed by surgery and pathology in the 81 st Military Hospital of People′s Liberation Army from 2016 to 2019 were collected, and the relationship between preoperative NLR, PLR levels and postoperative PTMC CLNM were analyzed. Logistic regression analysis was used for multivariate analysis. Receiver operating characteristic (ROC) curve was used to determine the cutoff value of NLR and PLR. The interaction relative excess risk was used to analyze the relationship between NLR, PLR and CLNM. Results:Among 220 patients with cN0 stage PTMC, 92 were CLNM. The ROC curve showed that when the cutoff value of NLR was 2.5 and the cutoff value of PLR was 175, the highest Youden index was 0.318 and 0.264, respectively. NLR and PLR were both related to CLNM ( P<0.05). The tumor long diameter, multifocality, NLR≥2.5 and PLR≥175 were independent impact factors of CLNM ( P<0.05). The results of the interaction showed that the relative excess risk of the interaction was 5.531 (95% CI: 0.160, 10.901, P=0.016), the attribution ratio was 0.512 (95% CI: 0.230, 0.794, P=0.009), and the synergy index was 2.294 (95% CI: 1.492, 4.579, P=0.022), suggested that NLR and PLR had an interactive effect, and these two synergistically promoted CLNM. Conclusions:NLR and PLR are independent risk factors for cN0 stage PTMC CLNM. When NLR≥2.5 and PLR≥175, preventive central lymph node dissection should be routinely performed.

Objective:To investigate the correlation between EOS level and hormone therapy effect and prognosis of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods:From January 2016 to June 2018, 120 patients with AECOPD were selected in the Fifth People's Hospital of Datong.According to EOS levels, all patients were divided into two groups, including EOS ≥2% group(56 cases) and EOS<2% group(64 cases). The general clinical data and treatment related indicators of patients with different EOS levels were compared, and the clinical value of EOS level in predicting the risk of severe AECOPD recurrence and death of patients were evaluated.Results:The levels of WBC, N%, NLR and CRP of the EOS≥2% group were significantly lower than those of the EOS<2% group[(6.89±1.16)×10 9/L, (69.08±12.79)%, (3.54±1.16), (5.30±1.18)mg/L vs.(8.45±1.85)×10 9/L, (76.42±16.58)%, (6.08±1.42), (7.43±1.77)mg/L]( t=5.27, 4.81, 4.65, 2.58, all P<0.05). The used time of antibiotics of the EOS≥2% group was significantly shorter than that of the EOS<2% group[8.0(6.0, 10.0)d vs.9.0(7.0, 11.0)d]( U=2.46, P<0.05). The time of hormone therapy and hospitalization time of the EOS≥2% group were significantly shorter than those of the EOS<2% group[9.0(7.0, 11.0)d, 10.0(9.0, 12.0)d vs.11.0(7.0, 13.0)d, 12.0(10.0, 13.0)d]( U=2.79, 2.56, all P<0.05). The proportion of CAT score decreased ≥2 points at 7d after treatment of the EOS≥2% group was significantly higher than that of the EOS<2% group[86.84% vs.68.18%](χ 2=2.84, P<0.05). Logistic regression analysis showed that EOS≥2% was the independent risk factor for severe AECOPD recurrence and death( OR=2.84, 95% CI: 1.49~5.03, P<0.05). There was no relationship between EOS level and death risk ( P>0.05). Conclusion:Serum EOS level can independently predict the clinical effect of hormone therapy and prognosis in patients with AECOPD, and clinicians can make more reasonable clinical treatment plan accordingly.