Objective To analyze the clinical characteristics of recipients with interstitial lung disease (ILD) who underwent second lung transplantation and summarize the diagnostic and therapeutic experience. Methods A retrospective analysis was conducted on the clinical data of 14 patients who underwent first and second lung transplants for ILD at the First Affiliated Hospital of Guangzhou Medical University from January 2015 to December 2024. The preoperative conditions, intraoperative events, postoperative treatments and prognoses of the first and second lung transplantation were compared, and the postoperative survival of ILD patients after the second lung transplantation was analyzed. Results Among the 14 recipients of the second lung transplant, 13 underwent the procedure due to chronic lung allograft dysfunction, and 1 due to airway complications. The median interval time from the first to the second lung transplant was 32 (2, 80) months. Before the second transplantation, 2 recipients required endotracheal intubation and mechanical ventilation, and 2 required endotracheal intubation, mechanical ventilation, and extracorporeal membrane oxygenation (ECMO) support. The surgical time for the second lung transplantation was longer than that for the first, with increased intraoperative red blood cell and plasma transfusion volumes, the proportion of ECMO support during the second lung transplantation was higher than that during the first (all P<0.05). However, the cold ischemia time for one-sided lung transplant completion in the first lung transplant was similar to that in the second lung transplantation (P>0.05). The median follow-up time after the second lung transplantation was 32 (1, 63) months. The 1-month, 6-month and 1-year survival rates after the second lung transplantation were 79%, 57% and 50%, respectively, with causes of death being infection, multiple organ failure and gastrointestinal bleeding. Conclusions For ILD patients undergoing second lung transplantation after the first lung transplantation, the second lung transplantation is more challenging, with longer surgical time and higher intraoperative blood loss. It requires higher surgical skills and perioperative management. Non-emergency second transplantation may still achieve good results.

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

Objective:To investigate the impact of body composition and inflammatory nutritional indicators on postoperative complications in patients with obstructive colorectal cancer,and to develop and validate a nomogram model.Methods:This is a retrospective case series study. The clinical data of 293 patients with obstructive colorectal cancer who were treated at the Department of Gastrointestinal Surgery,the Affiliated Hospital of Qingdao University,between January 2016 and January 2024,were retrospectively collected. The cohort included 182 males and 111 females,aged (65.0±12.1) years (range: 18 to 80 years). The dataset was randomly divided into a training group ( n=196) and a validation group ( n=97) with a 7∶3 ratio. Independent sample t test and multivariate logistic regression analysis were employed to identify independent risk factors associated with postoperative complications in patients with obstructive colorectal cancer. A preoperative nomogram model was subsequently developed for predicting postoperative complications,which was further validated using a validation cohort. Results:The training group comprised 119 males and 77 females,with 68 cases experiencing postoperative complications and 128 cases without complications. The validation group included 63 males and 34 females,with 30 cases experiencing postoperative complications and 67 cases without complications.Univariate analysis and multivariate analysis revealed that low skeletal muscle index ( OR=0.867,95% CI: 0.795 to 0.947),high visceral fat index ( OR=1.058,95% CI: 1.028 to 1.089),high systemic immune inflammation index ( OR=1.002, 95% CI: 1.000 to 1.003), low prognostic nutritional index ( OR=0.847,95% CI: 0.782 to 0.917),and preoperative anemia ( OR=2.714,95% CI: 1.161 to 6.344) were independent risk factors for postoperative complications (all P<0.05). A nomogram prediction model based on these five indicators was established. The area under the receiver operating characteristic (ROC) curve for the prediction model was 0.878 (95% CI: 0.829 to 0.928) in the training group and 0.849 (95% CI:0.767 to 0.930) in the validation group. Conclusions:The preoperative nomogram model,which incorporates inflammatory and nutritional indicators,demonstrates a good accuracy in predicting postoperative complications for patients with obstructive colorectal cancer. This model can effectively assist in guiding treatment decisions.

Objective:To explore the predictive factors for extubation in the operating room after single lung transplantation without the assistance of extracorporeal membrane oxygenation (ECMO) in adult patients with end-stage interstitial lung disease (ILD), as well as their short-term (1-year postoperative) prognosis.Methods:A retrospective analysis was conducted on the clinical data of 78 adult ILD recipients who underwent single lung transplantation without ECMO assistance at the First Affiliated Hospital of Guangzhou Medical University from June 2018 to June 2023. Based on whether extubation was completed in the operating room (OR), patients were divided into the OR group (19 cases) and ICU group (59 cases). Baseline characteristics of donors and recipients, as well as intraoperative events, were compared between the two groups. Univariate logistic regression analysis was used to identify potential predictors, and variables with P<0.2 were included in multivariate logistic regression to determine independent predictors for OR extubation. Receiver operating characteristic (ROC) curves were plotted to evaluate predictive performance. The Kaplan-Meier method was used to analyze survival, and short-term prognosis between groups was compared. Results:The rate of OR extubation after single lung transplantation in ILD recipients was 24%(19/78). Compared with the ICU group, the OR group had shorter operation times, lower fluid volumes, reduced transfusions of red blood cells and plasma, less intraoperative bleeding, and lower lactate levels 15 minutes after pulmonary artery reperfusion (all P<0.05). Univariate logistic regression analysis identified the following factors as significantly associated with OR extubation: recipient age ( P=0.100), operative time ( P=0.001), fluid infusion volume ( P=0.005), red blood cell transfusion volume ( P=0.037), plasma transfusion volume ( P=0.039), blood loss ( P=0.004), oxygenation index at 15 minutes after reperfusion ( P=0.174), and blood lactate at 15 minutes after reperfusion ( P=0.041). Multivariate analysis revealed that intraoperative blood loss was an independent predictor of OR extubation ( OR=0.993, 95% CI: 0.986 - 0.999, P=0.026). ROC curve analysis showed that blood loss had an area under the curve (AUC) of 0.822 in predicting OR extubation, with a sensitivity of 64.4% and specificity of 89.5%. Postoperatively, patients in the OR group had significantly shorter durations of mechanical ventilation [0 vs 5 (3,11) days, P<0.001], ICU stay [7(4,8) vs 9(6,20) days, P=0.012], and overall postoperative hospitalization [19 (15,23) vs 25 (19,39) days, P=0.015]. Within one year after surgery, 2 patients (11%) in the OR group and 19 patients (32%) in the ICU group had died, but the difference in 1-year survival rates between the two groups was not statistically significant. Conclusions:Intraoperative blood loss is an independent predictor of extubation in the operating room. Early extubation in non-ECMO-assisted single lung transplantation for ILD patients is associated with improved short-term outcomes.

Objective:To investigate the impact of body composition and inflammatory nutritional indicators on postoperative complications in patients with obstructive colorectal cancer,and to develop and validate a nomogram model.Methods:This is a retrospective case series study. The clinical data of 293 patients with obstructive colorectal cancer who were treated at the Department of Gastrointestinal Surgery,the Affiliated Hospital of Qingdao University,between January 2016 and January 2024,were retrospectively collected. The cohort included 182 males and 111 females,aged (65.0±12.1) years (range: 18 to 80 years). The dataset was randomly divided into a training group ( n=196) and a validation group ( n=97) with a 7∶3 ratio. Independent sample t test and multivariate logistic regression analysis were employed to identify independent risk factors associated with postoperative complications in patients with obstructive colorectal cancer. A preoperative nomogram model was subsequently developed for predicting postoperative complications,which was further validated using a validation cohort. Results:The training group comprised 119 males and 77 females,with 68 cases experiencing postoperative complications and 128 cases without complications. The validation group included 63 males and 34 females,with 30 cases experiencing postoperative complications and 67 cases without complications.Univariate analysis and multivariate analysis revealed that low skeletal muscle index ( OR=0.867,95% CI: 0.795 to 0.947),high visceral fat index ( OR=1.058,95% CI: 1.028 to 1.089),high systemic immune inflammation index ( OR=1.002, 95% CI: 1.000 to 1.003), low prognostic nutritional index ( OR=0.847,95% CI: 0.782 to 0.917),and preoperative anemia ( OR=2.714,95% CI: 1.161 to 6.344) were independent risk factors for postoperative complications (all P<0.05). A nomogram prediction model based on these five indicators was established. The area under the receiver operating characteristic (ROC) curve for the prediction model was 0.878 (95% CI: 0.829 to 0.928) in the training group and 0.849 (95% CI:0.767 to 0.930) in the validation group. Conclusions:The preoperative nomogram model,which incorporates inflammatory and nutritional indicators,demonstrates a good accuracy in predicting postoperative complications for patients with obstructive colorectal cancer. This model can effectively assist in guiding treatment decisions.

Objective:To explore the predictive factors for extubation in the operating room after single lung transplantation without the assistance of extracorporeal membrane oxygenation (ECMO) in adult patients with end-stage interstitial lung disease (ILD), as well as their short-term (1-year postoperative) prognosis.Methods:A retrospective analysis was conducted on the clinical data of 78 adult ILD recipients who underwent single lung transplantation without ECMO assistance at the First Affiliated Hospital of Guangzhou Medical University from June 2018 to June 2023. Based on whether extubation was completed in the operating room (OR), patients were divided into the OR group (19 cases) and ICU group (59 cases). Baseline characteristics of donors and recipients, as well as intraoperative events, were compared between the two groups. Univariate logistic regression analysis was used to identify potential predictors, and variables with P<0.2 were included in multivariate logistic regression to determine independent predictors for OR extubation. Receiver operating characteristic (ROC) curves were plotted to evaluate predictive performance. The Kaplan-Meier method was used to analyze survival, and short-term prognosis between groups was compared. Results:The rate of OR extubation after single lung transplantation in ILD recipients was 24%(19/78). Compared with the ICU group, the OR group had shorter operation times, lower fluid volumes, reduced transfusions of red blood cells and plasma, less intraoperative bleeding, and lower lactate levels 15 minutes after pulmonary artery reperfusion (all P<0.05). Univariate logistic regression analysis identified the following factors as significantly associated with OR extubation: recipient age ( P=0.100), operative time ( P=0.001), fluid infusion volume ( P=0.005), red blood cell transfusion volume ( P=0.037), plasma transfusion volume ( P=0.039), blood loss ( P=0.004), oxygenation index at 15 minutes after reperfusion ( P=0.174), and blood lactate at 15 minutes after reperfusion ( P=0.041). Multivariate analysis revealed that intraoperative blood loss was an independent predictor of OR extubation ( OR=0.993, 95% CI: 0.986 - 0.999, P=0.026). ROC curve analysis showed that blood loss had an area under the curve (AUC) of 0.822 in predicting OR extubation, with a sensitivity of 64.4% and specificity of 89.5%. Postoperatively, patients in the OR group had significantly shorter durations of mechanical ventilation [0 vs 5 (3,11) days, P<0.001], ICU stay [7(4,8) vs 9(6,20) days, P=0.012], and overall postoperative hospitalization [19 (15,23) vs 25 (19,39) days, P=0.015]. Within one year after surgery, 2 patients (11%) in the OR group and 19 patients (32%) in the ICU group had died, but the difference in 1-year survival rates between the two groups was not statistically significant. Conclusions:Intraoperative blood loss is an independent predictor of extubation in the operating room. Early extubation in non-ECMO-assisted single lung transplantation for ILD patients is associated with improved short-term outcomes.

Objective To verify by retrospective analysis the performance of applying dual-parametric(T2 weighted image[T2WI]and diffusion weighted image[DWI])and multi-parametric(T2WI,DWI,and dynamic contrast enhance[DCE])evaluation systems of Vesical Imaging-Reporting and Data System(VI-RADS)in the magnetic resonance imaging(MRI)diagnosis of bladder cancer.Methods The imaging and clinical data of bladder cancer patients who underwent bladder MRI examination in the Department of Urology of our hospital between January 2020 and December 2021 were collected.A total of 215 bladder cancer patients,among whom there were 183 males and 32 females with an average age of(67.60±11.42)years,were included.The bladder cancer diagnosis of all the cases was verified by pathology analysis of tissue samples.Two radiologists,who were double-blinded,scored multiple sequences separately.Then,a comparative analysis was made on the diagnostic performance of dual-parametric and multi-parametric VI-RADS diagnostic scores.The diagnostic test with receiver operator characteristic(ROC)curves and Cohen's Kappa were used to evaluate the diagnostic efficacy and consistency.Results The area under the curve(AUC)and 95％confidence interval(CI)of the multi-parametric VI-RADS evaluation system by the two radiologists in the overall population were 0.878(0.830-0.925)and 0.856(0.805-0.907),while those for the bi-parametric VI-RADS evaluation system were 0.889(0.844-0.934)and 0.856(0.805-0.907),showing no statistically significant difference.No significant difference was observed in the subgroup analysis of patients who underwent transurethral resection of bladder tumor(TURBT).Furthermore,the Kappa values for inter-rater agreement between of the two radiologists were 0.694 and 0.546(with the VI-RADS score ≥ 3 defined as being positive)and 0.693 and 0.712(with the VI-RADS score ≥4 defined as being positive)in multi-parametric and bi-parametric evaluation,respectively(all P＜0.001).Conclusion The bi-parametric VI-RADS scoring system can achieve a diagnostic efficacy comparable to that of the multi-parametric scoring system,offering an alternative to patients who are unable to undergo contrast-enhanced MRI due to allergic reaction to contrasts.

Objective:To explore the impact of artificial intelligence compressed sensing technology (CS-AI) on image quality in three-dimensional proton density weighted imaging (3D PDWI) of the unilateral hip joint.Methods:High-resolution unilateral hip imaging was conducted on 67 healthy volunteers at West China Hospital of Sichuan University from January to July 2023. Imaging was performed by using CS-AI 3D PDWI sequence with acceleration factors (AF) of 4, 6, 8, and 10, respectively. According to the AF, all subjects were divided into 4 groups: CS-AI 4, CS-AI 6, CS-AI 8 and CS-AI 10, with CS-AI 4 serving as a reference. Recording the scan time, the signal and noise intensity of the femoral head, muscle, and subcutaneous fat were measured by a senior radiologist and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were then calculated. Additionally, two observers provided ratings for overall image quality and artifacts in the 4 groups, and statistical analysis was performed using the Friedman rank-sum test.Results:The acquisition times for CS-AI 4, CS-AI 6, CS-AI 8, and CS-AI 10 were 5 min 49 s, 3 min 54 s, 2 min 56 s and 2 min 22 s, respectively. Compared to CS-AI 4, the scanning time for CS-AI 6, CS-AI 8, CS-AI 10 were reduced by 32.95%, 50.14%, 59.31%, respectively. The objective evaluation revealed that the SNR and CNR of the femoral head and muscle in groups CS-AI 6, CS-AI 8, and CS-AI 10 were slightly lower than those in group CS-AI 4 ( P<0.05), and the differences were statistically significant. However, no statistically significant differences were found among the 3 groups ( P>0.05). The subjective evaluation indicated that the overall image quality scores of group CS-AI 8 [3 (3,4)] did not significantly differ from those of group CS-AI 4 and CS-AI 6( P>0.05); The mean scores of group CS-AI 4 and CS-AI 6 were 4 (4, 4); Scores of group CS-AI 10 was 3(3, 3), which statistically significant differ from those of the other groups ( P<0.05). The artifacts rating for groups CS-AI 4, CS-AI 6, CS-AI 8 and CS-AI 10 were 4 (4, 4), 4 (4, 4), 3 (3, 4), and 2 (2, 3) respectively. When AF was set to 10, the images exhibited the most severe artifacts ( P<0.05). For other AF values, artifact ratings did not differ significantly ( P>0.05). Conclusion:The CS-AI 3D-PDWI sequence with acceleration factor 8 can acquire high-resolution images of the unilateral hip joint that meet clinical diagnostic requirements while reducing scanning time.

Sha （痧） is an acute infectious disease characterised by the appearance of rashes on the skin， caused by exposure to epidemic toxin and pestilent qi. Sha Zhang Yu Heng （《痧胀玉衡》） discussed the treatment principles and methods， and listed collateral bloodletting as one of the main treatments. Through organizing the articles and proved cases， we found that the author believes Sha （痧） is caused by epidemic pathogen， belonging to heat toxin with rapid changes， so timely treatment for qi and blood simultaneously could achieve the effect of transforming qi into defensive qi. Sha Zhang Yu Heng focuses on patient's position during treatmet， the material of the needle， the site of treatment， the quantum of stimulation and the operation of the contraindications and other essentials. According to the depth of the disease location， use traditional Chinese herbal medicine， scraping together to identify the root of the disease. In addition， diet suggestions for the prevention of the recrudescence of disease are also described in detail.