Objective: To investigate the trend in incidence and change in age at onset of lung cancer in in Wujiang District, Suzhou City, Jiangsu Province from 2012 to 2021, so as to provide a basis for strengthening targeted prevention and control of lung cancer. Methods: Data of lung cancer incidence from 2012 to 2021 were collected through the Wujiang District Tumor Follow-up Registration Information System. The crude incidence, truncated incidence for 35 to 64 years, and cumulative incidence for 0 to 74 years were calculated. Chinese population-standardized incidence, Chinese population-standardized average age at onset, and Chinese population-standardized incidence proportion were calculated using the age structure of the standard population from the Fifth National Population Census in 2000. The trend in incidence of lung cancer from 2012 to 2021 was evaluated using average annual percent change (AAPC). The trend in the Chinese population-standardized average age at onset of lung cancer from 2012 to 2021 was evaluated using a linear regression model. Results: From 2012 to 2021, the crude incidence, the Chinese population-standardized incidence and truncated incidence for 35 to 64 years of lung cancer in Wujiang District were 84.57/100 000, 37.28/100 000 and 52.10/100 000, respectively, all showing upward trends (AAPC=2.489%, 2.034% and 4.654%, all P<0.05). The cumulative incidence for 0 to 74 years was 4.48%, showing no significant trend (P>0.05). The Chinese population-standardized incidence was higher in males than in females (48.16/105 vs. 26.81/105). The Chinese population-standardized incidence of lung cancer in females showed an upward trend (AAPC=8.174%, P<0.05), while the trend in males was not statistically significant (P>0.05). The crude incidence of lung cancer showed upward trends in the total population and females aged 0-<45 years (AAPC=18.287% and 25.343%, both P<0.05) and those aged 45-<55 age group (AAPC=8.003% and 17.629%, both P<0.05). The Chinese population-standardized average age at onset of lung cancer in total population and females decreased from 67.58 and 65.48 years in 2012 to 60.15 and 54.88 years in 2021, with an average annual reduction of 0.611 and 0.964 years, respectively (both P<0.05). The Chinese population-standardized incidence proportion showed upward trends for the total population and females under 65 years (AAPC=3.879% and 4.639%, both P<0.05). No statistically significant trends were observed in the Chinese population-standardized average age at onset or incidence proportion in males (both P>0.05). Conclusions From 2012 to 2021, the incidence of lung cancer in Wujiang District showed an increasing trend and a trend toward younger onset age. Young and middle-aged females had emerged as a key target population for lung cancer prevention and control.

Objective To investigate the auditory effects of cochlear implantation in quiet and noisy environ-ments in children with different bilateral intervention modes,as well as the factors influencing these effects.Methods A total of 185 children with bilateral severe to profound sensorineural hearing loss were divided into three groups:bimodal hearing mode group(BIM,n=55),simultaneous bilateral cochlear implantation group(SCI,n=70),and sequential bilateral cochlear implantation group(SBCI,n=60).The Parents' Evaluation of Aural/Oral Performance of Children(PEACH)was used to assess the PEACH scores of the three groups in quiet and noisy environments one year after binaural hearing aid intervention.Additionally,the effects of cochlear implantation age,preoperative residual hearing,hearing aid usage,rehabilitation training mode,family system,and other factors on auditory per-formance in quiet and noisy environments were analyzed.Results The PEACH scores in quiet environments were higher than those in noisy environments for all three groups(all P＜0.05).The SCI group had higher PEACH scores in both quiet and noisy environments compared to the BIM group(P＜0.05).Multifactorial analysis revealed differences in factors influencing auditory performance in quiet and noisy environments among the three groups.First cochlear implantation before 3 years of age,preoperative hearing aid usage,and home-based rehabilitation training mode were common favourable influencing factors for auditory performance in both environments.Preopera-tive residual hearing below 95 dB HL was an favourable influencing factor for auditory performance in quiet environ-ments in the BIM group.The higher the level of parental education,the better auditory performance in both quiet and noisy environments for the SCI and SBCI groups.Implantation interval of 24 months or less and hearing aid usage during the inter-implantation period were favourable influencing factors for auditory performance in both envi-ronments for the SBCI group.Conclusion Children with severe to profound prelingual deafness after simultaneous bilateral CI implantation had better hearing performance than bimodal listening in quiet and noise environments.Ear-ly implantation,preoperative or inter-implantation hearing aid usage are recommended to improve auditory perform-ance in noisy environments,regardless of the bilateral intervention mode.The interval between bilateral cochlear im-plantations should be less than 12 months.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

The introduction of immunotherapy has significantly improved the pathological complete response (pCR) rate and tumor downstaging effect in patients receiving neoadjuvant therapy for gastric cancer, while simultaneously presenting new challenges and opportunities for surgical decision-making. The recommended number of cycles for neoadjuvant therapy is 2 to 4 cycles, and the recommended time interval for surgery is within 4 to 6 weeks after the last treatment. Laparoscopic and robotic-assisted minimally invasive surgeries have demonstrated relative advantages in postoperative recovery and safety. For cases achieving pCR or significant tumor regression after immunotherapy, active function-preserving surgeries or enrollment in clinical trial cohorts may be explored. Basic research indicates that preserving unaffected lymph nodes may maintain immune activity, challenging the traditional D2 lymphadenectomy scope, which requires further clinical evidence. Neoadjuvant immunotherapy has not significantly increased perioperative complications. This article aims to discuss the core issues in surgical decision-making for gastric cancer after neoadjuvant therapy, providing a detailed analysis from the perspectives of surgical timing, approach, scope, and complication management, with the hope of offering more references for surgical decision-making after neoadjuvant therapy.

Objective:To investigate the value of MRI radiomics model in evaluating the pathological complete response (pCR) status of human epidermal growth factor receptor 2(HER-2) positive breast cancer after neoadjuvant therapy.Methods:The study was a cross-sectional study. The clinical, pathological, and MRI data of 243 HER-2 positive breast cancer patients who received neoadjuvant therapy in Shanxi Province Cancer Hospital from January 2021 to June 2023 were retrospectively analyzed. All patients were female, aged 26?75 years. All patients were randomly divided into training set (146 cases) and validation set (97 cases) at a ratio of 6∶4 according to the simple random sampling method. Univariate and multivariate logistic regression were used to screen independent predictors of pCR. Radiomics features were extracted from the early-phase (the 2nd phase) images of breast dynamic contrast-enhanced-MRI after neoadjuvant therapy.The four-step procedure was adopted for feature screening. The radiomics model was constructed by logistic regression. A combined model was constructed by integrating radiomics features and independent predictors. Two radiologists (Reader 1 with 10 years experience and Reader 2 with 13 years experience) who major in breast MRI visually evaluated the pCR status of breast cancer after neoadjuvant therapy. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of Reader 1, Reader 2, the radiomics model, and the combined model in predicting pCR status. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results:Among 243 HER-2 positive breast cancer patients, totally 118 achieved pCR. In clinical and pathological features, HER-2 3+ was an independent predictor of pCR ( OR=2.71, 95% CI 1.03?7.12, P=0.043). In the training set and validation set, the AUCs of the radiomics model in predicting pCR status were 0.899 and 0.853, respectively.The AUCs of the combined model were 0.917 and 0.890, respectively. In the validation set, the AUC value of the radiomics model in predicting pCR status was higher than that of Reader 1 and Reader 2. Hosmer-Lemeshow goodness-of-fit test showed that there was no significant difference between the prediction of pCR status by the combined model and radiomics model and the actual results in the training set and validation set, and the fitting was good ( P>0.05). Conclusion:The MRI-based radiomics model can be used to predict pCR status in HER-2 positive breast cancer and outperforms the visual qualitative assessments of radiologists.

Objective To investigate the auditory effects of cochlear implantation in quiet and noisy environ-ments in children with different bilateral intervention modes,as well as the factors influencing these effects.Methods A total of 185 children with bilateral severe to profound sensorineural hearing loss were divided into three groups:bimodal hearing mode group(BIM,n=55),simultaneous bilateral cochlear implantation group(SCI,n=70),and sequential bilateral cochlear implantation group(SBCI,n=60).The Parents' Evaluation of Aural/Oral Performance of Children(PEACH)was used to assess the PEACH scores of the three groups in quiet and noisy environments one year after binaural hearing aid intervention.Additionally,the effects of cochlear implantation age,preoperative residual hearing,hearing aid usage,rehabilitation training mode,family system,and other factors on auditory per-formance in quiet and noisy environments were analyzed.Results The PEACH scores in quiet environments were higher than those in noisy environments for all three groups(all P＜0.05).The SCI group had higher PEACH scores in both quiet and noisy environments compared to the BIM group(P＜0.05).Multifactorial analysis revealed differences in factors influencing auditory performance in quiet and noisy environments among the three groups.First cochlear implantation before 3 years of age,preoperative hearing aid usage,and home-based rehabilitation training mode were common favourable influencing factors for auditory performance in both environments.Preopera-tive residual hearing below 95 dB HL was an favourable influencing factor for auditory performance in quiet environ-ments in the BIM group.The higher the level of parental education,the better auditory performance in both quiet and noisy environments for the SCI and SBCI groups.Implantation interval of 24 months or less and hearing aid usage during the inter-implantation period were favourable influencing factors for auditory performance in both envi-ronments for the SBCI group.Conclusion Children with severe to profound prelingual deafness after simultaneous bilateral CI implantation had better hearing performance than bimodal listening in quiet and noise environments.Ear-ly implantation,preoperative or inter-implantation hearing aid usage are recommended to improve auditory perform-ance in noisy environments,regardless of the bilateral intervention mode.The interval between bilateral cochlear im-plantations should be less than 12 months.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

Objective:To investigate the value of MRI radiomics model in evaluating the pathological complete response (pCR) status of human epidermal growth factor receptor 2(HER-2) positive breast cancer after neoadjuvant therapy.Methods:The study was a cross-sectional study. The clinical, pathological, and MRI data of 243 HER-2 positive breast cancer patients who received neoadjuvant therapy in Shanxi Province Cancer Hospital from January 2021 to June 2023 were retrospectively analyzed. All patients were female, aged 26?75 years. All patients were randomly divided into training set (146 cases) and validation set (97 cases) at a ratio of 6∶4 according to the simple random sampling method. Univariate and multivariate logistic regression were used to screen independent predictors of pCR. Radiomics features were extracted from the early-phase (the 2nd phase) images of breast dynamic contrast-enhanced-MRI after neoadjuvant therapy.The four-step procedure was adopted for feature screening. The radiomics model was constructed by logistic regression. A combined model was constructed by integrating radiomics features and independent predictors. Two radiologists (Reader 1 with 10 years experience and Reader 2 with 13 years experience) who major in breast MRI visually evaluated the pCR status of breast cancer after neoadjuvant therapy. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of Reader 1, Reader 2, the radiomics model, and the combined model in predicting pCR status. The Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration of the model.Results:Among 243 HER-2 positive breast cancer patients, totally 118 achieved pCR. In clinical and pathological features, HER-2 3+ was an independent predictor of pCR ( OR=2.71, 95% CI 1.03?7.12, P=0.043). In the training set and validation set, the AUCs of the radiomics model in predicting pCR status were 0.899 and 0.853, respectively.The AUCs of the combined model were 0.917 and 0.890, respectively. In the validation set, the AUC value of the radiomics model in predicting pCR status was higher than that of Reader 1 and Reader 2. Hosmer-Lemeshow goodness-of-fit test showed that there was no significant difference between the prediction of pCR status by the combined model and radiomics model and the actual results in the training set and validation set, and the fitting was good ( P>0.05). Conclusion:The MRI-based radiomics model can be used to predict pCR status in HER-2 positive breast cancer and outperforms the visual qualitative assessments of radiologists.

Objective:To design and develop a portably minimally invasive diagnostic and therapeutic device for abdominally warfare trauma,which aimed at a scene of rescue environment at frontline,and its feasibility was evaluated preliminarily through animal experiment.Methods:Based on the actual demands of the rescue environment at frontline,a set of portably minimally invasive diagnostic and therapeutic device for abdominally warfare trauma(abbreviation:minimally invasive diagnostic and therapeutic device)was researched,developed and assembled,which included portably integrated host,disposable flexible lens of endoscope,disposable apparatus of minimally invasive surgery,extendable channel device of avoiding pneumoperitoneum and so on.A male Bama miniature pig was selected,and it received two different surgeries included portably minimally invasive diagnostic and therapeutic device,and conventionally laparoscopic surgery after it received general anesthesia.The damage controls included hemostasis of intraoperative parenchyma organ,sealing and repairing of gastrointestinal perforation and drainage of indwelling catheter in abdominal and pelvic cavity between two groups were compared,and the difference of the mobility performance between them also was compared.The operational evaluation of minimally invasive surgery of damage control surgery and the potential of its clinical conversion were conducted.Results:Compared to conventional laparoscopy,this minimally invasive diagnostic and therapeutic device had better mobility,and the transfer time of this device was(3.3±1.0)min,which was significantly shorter than(14.5±3.2)min of conventional laparoscopy,and the difference of that between two device was significant(t=-5.786,P<0.05).The minimally invasive diagnostic and therapeutic device could successfully realize a series of operation of damage control surgery included exploration,flushing,suction,hemostasis,repair and drainage under the pneumoperitoneum or without pneumoperitoneum,which operation was safety and feasibility.Conclusion:The portably minimally invasive diagnostic and therapeutic device for abdominally warfare trauma can realize integration and optimization,and mobility and portability on the basis of the current laparoscopic platform,which can successfully realize the operation of damage control surgery.It has favorable application prospects and capabilities of clinical conversion.

Objective:To investigate the risk factors of pathological complete response(pCR)after neoadjuvant therapy for locally advanced gastric cancer(LAGC)and assess the value of gastric tumor markers for predicting pCR in LAGC patients.Methods:We retrospectively ana-lyzed the clinical and pathological characteristics of 213 patients who underwent radical gastrectomy and gastric tumor marker analysis after neoadjuvant therapy at The Chinse PLA General Hospital First Medical Center,between January 2020 and April 2024(20 and 193 cases in the pCR and non-pCR groups,respectively).The interrelationships among pCR,tumor markers,and clinicopathological features were compared,and independent risk factors for pCR were analyzed.A nomogram was constructed to predict the pCR.Results:Among 213 patients,20(9.4% )achieved pCR.Univariate analysis showed that age(P=0.067),tumor bed diameter(P<0.001),gastrin-17 levels(P=0.005),CA72-4 levels(P=0.073),pepsinogen ratio(P=0.024),and neoadjuvant immunotherapy(P=0.022)were strongly associated with pCR in LAGC pa-tients.Multivariate analysis showed that neoadjuvant immunotherapy,CA72-4 levels<2.5 U/mL,gastrin-17 levels<1.48 pmol/L,and tumor bed diameter<2.85 cm were independent predictive factors for pCR in LAGC patients(P<0.05).These indicators were incorporated into a nomogram prediction model;an receiver operating characteristic curve(ROC)was plotted with an AUC(95% CI)of 0.863(0.785-0.942).The calibration and decision curves suggested that the nomogram was well calibrated and had a good net benefit.Conclusions:Gastric tumor markers can effectively predict pCR after neoadjuvant therapy in LAGC patients.Our nomogram showed a good predictive ability for pCR.Thus,our findings can serve as a useful reference for clinical decision making for LAGC patients.