Objective:To compare the lung shunt fraction (LSF) of 90Y imaging after 90Y-selective internal radiation therapy (SIRT) and preoperative 99Tc m-macroaggregated albumin (MAA) imaging in patients with liver malignant tumors, and compare the volume and visual score of intrahepatic distribution of both nucleins on SPECT/CT images. Methods:A total of 91 patients with liver malignant tumors (78 males, 13 females; age (56.7±13.7)years; 99 cases) who underwent 90Y-SIRT in the Second Affiliated Hospital of Guangzhou Medical University from November 2022 to June 2024 were retrospectively collected. All patients underwent preoperative 99Tc m-MAA simulation and postoperative 90Y distribution verification by whole-body planar scintigraphy and hepatic SPECT/CT imaging. ROIs of the liver and lungs under the anterior-posterior position were delineated on the planar scintigraphy and LSF of 99Tc m-MAA and 90Y were calculated. The volume of interest (VOI) was drawn on the SPECT/CT images to calculate the nuclide distribution volume of both 99Tc m-MAA and 90Y within the liver. Wilcoxon signed rank test was used to compare the difference between two groups. In addition, the liver was divided into five lobes, namely left lateral lobe, left medial lobe, caudate lobe, right anterior lobe and right posterior lobe. Visual assessment of 90Y and 99Tc m-MAA radioactive distribution was performed ( 90Y and 99Tc m-MAA uptakes were graded on a scale of 0-3, where 0 indicated no nuclide accumulation and 3 indicated heavy accumulation). Kappa consistency test was used to analyze the scores of the corresponding lobes between two groups. Results:LSF for 99Tc m-MAA was 11.60%(4.27%, 15.03%), and LSF for 90Y was 11.80%(9.70%, 13.30%), without significant difference ( Z=-1.50, P=0.134). The distribution volume of 99Tc m-MAA within the liver was 542.63(204.00, 818.00)ml, which was significantly different from that of 90Y (688.69(287.00, 954.00)ml; Z=-7.37, P<0.001). Kappa values of the score of each lobe between 99Tc m-MAA imaging and 90Y imaging were 0.469-0.740 (all P<0.001). Conclusions:99Tc m-MAA simulation is reliable for assessing LSF for 90Y-SIRT. The distribution volume of 99Tc m-MAA is generally smaller than that of 90Y, but the consistency of the visual score of radioactive distribution is high. Overall, 99Tc m-MAA may well simulate the distribution pattern of 90Y-SIRT.

Objective To control the stepwise release of vascular endothelial growth factor A(VEGF-A)within the microcapsules,and to analyze the effects of the microcapsules on cellular angiogenic capability.Methods VEGF-A encapsulated poly(lactic-co-gly-colic acid)(PLGA)microcapsules were prepared using a method combining dual-channel coaxial injection and continuous flow technol-ogy.The release and degradation performance of the microcapsules were characterized using a phosphate-buffered saline(PBS)soaking method.The biocompatibility of the microcapsules was assessed through the CCK-8 method and Calcein-AM/PI staining method.The impact of microcapsule extract on cellular angiogenesis ability was examined by conducting cell scratch assays and tubule formation ex-periments.Results The microcapsules were round in shape,with their particle diameter measuring in the range of hundreds of mi-crometers.Microcapsules with a molecular weight(Mw)-12 ku can release a large amount of VEGF-A in the initial phase,while Mw-30 ku ones had the capacity to provide a stable,long-term,low-dose release of VEGF-A.Microcapsules of Mw-12 ku exhibited outstanding potential for enhancing the healing of cell scratch wounds in the initial phase.Moreover,within the 0-12 day period,the two types of microcapsule extracts significantly enhanced the ability of cells to form tubules in vitro.Conclusion This study successfully regulated the release profile of VEGF-A by adjusting the molecular weight of PLGA,achieving an initial rapid and substantial release of VEGF-A followed by a sustained slow release over time,while maintaining its biological activity throughout the process.

Objective To control the stepwise release of vascular endothelial growth factor A(VEGF-A)within the microcapsules,and to analyze the effects of the microcapsules on cellular angiogenic capability.Methods VEGF-A encapsulated poly(lactic-co-gly-colic acid)(PLGA)microcapsules were prepared using a method combining dual-channel coaxial injection and continuous flow technol-ogy.The release and degradation performance of the microcapsules were characterized using a phosphate-buffered saline(PBS)soaking method.The biocompatibility of the microcapsules was assessed through the CCK-8 method and Calcein-AM/PI staining method.The impact of microcapsule extract on cellular angiogenesis ability was examined by conducting cell scratch assays and tubule formation ex-periments.Results The microcapsules were round in shape,with their particle diameter measuring in the range of hundreds of mi-crometers.Microcapsules with a molecular weight(Mw)-12 ku can release a large amount of VEGF-A in the initial phase,while Mw-30 ku ones had the capacity to provide a stable,long-term,low-dose release of VEGF-A.Microcapsules of Mw-12 ku exhibited outstanding potential for enhancing the healing of cell scratch wounds in the initial phase.Moreover,within the 0-12 day period,the two types of microcapsule extracts significantly enhanced the ability of cells to form tubules in vitro.Conclusion This study successfully regulated the release profile of VEGF-A by adjusting the molecular weight of PLGA,achieving an initial rapid and substantial release of VEGF-A followed by a sustained slow release over time,while maintaining its biological activity throughout the process.

Four cases of typical faults of Siemens MOBILETT XP Digital bedside DR were introduced.The causes for the problems were analyzed,and some countermeasures were put forward accordingly.References were provided for medical engineers to treat similar faults.[Chinese Medical Equipment Journal,2025,46(3):118-120]

Four cases of typical faults of Siemens MOBILETT XP Digital bedside DR were introduced.The causes for the problems were analyzed,and some countermeasures were put forward accordingly.References were provided for medical engineers to treat similar faults.[Chinese Medical Equipment Journal,2025,46(3):118-120]

Objective:To compare the lung shunt fraction (LSF) of 90Y imaging after 90Y-selective internal radiation therapy (SIRT) and preoperative 99Tc m-macroaggregated albumin (MAA) imaging in patients with liver malignant tumors, and compare the volume and visual score of intrahepatic distribution of both nucleins on SPECT/CT images. Methods:A total of 91 patients with liver malignant tumors (78 males, 13 females; age (56.7±13.7)years; 99 cases) who underwent 90Y-SIRT in the Second Affiliated Hospital of Guangzhou Medical University from November 2022 to June 2024 were retrospectively collected. All patients underwent preoperative 99Tc m-MAA simulation and postoperative 90Y distribution verification by whole-body planar scintigraphy and hepatic SPECT/CT imaging. ROIs of the liver and lungs under the anterior-posterior position were delineated on the planar scintigraphy and LSF of 99Tc m-MAA and 90Y were calculated. The volume of interest (VOI) was drawn on the SPECT/CT images to calculate the nuclide distribution volume of both 99Tc m-MAA and 90Y within the liver. Wilcoxon signed rank test was used to compare the difference between two groups. In addition, the liver was divided into five lobes, namely left lateral lobe, left medial lobe, caudate lobe, right anterior lobe and right posterior lobe. Visual assessment of 90Y and 99Tc m-MAA radioactive distribution was performed ( 90Y and 99Tc m-MAA uptakes were graded on a scale of 0-3, where 0 indicated no nuclide accumulation and 3 indicated heavy accumulation). Kappa consistency test was used to analyze the scores of the corresponding lobes between two groups. Results:LSF for 99Tc m-MAA was 11.60%(4.27%, 15.03%), and LSF for 90Y was 11.80%(9.70%, 13.30%), without significant difference ( Z=-1.50, P=0.134). The distribution volume of 99Tc m-MAA within the liver was 542.63(204.00, 818.00)ml, which was significantly different from that of 90Y (688.69(287.00, 954.00)ml; Z=-7.37, P<0.001). Kappa values of the score of each lobe between 99Tc m-MAA imaging and 90Y imaging were 0.469-0.740 (all P<0.001). Conclusions:99Tc m-MAA simulation is reliable for assessing LSF for 90Y-SIRT. The distribution volume of 99Tc m-MAA is generally smaller than that of 90Y, but the consistency of the visual score of radioactive distribution is high. Overall, 99Tc m-MAA may well simulate the distribution pattern of 90Y-SIRT.

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Purpose::Cerebral edema (CE) is the main secondary injury following traumatic brain injury (TBI) caused by road traffic accidents (RTAs). It is challenging to be predicted timely. In this study, we aimed to develop a prediction model for CE by identifying its risk factors and comparing the timing of edema occurrence in TBI patients with varying levels of injuries.Methods::This case-control study included 218 patients with TBI caused by RTAs. The cohort was divided into CE and non-CE groups, according to CT results within 7 days. Demographic data, imaging data, and clinical data were collected and analyzed. Quantitative variables that follow normal distribution were presented as mean ± standard deviation, those that do not follow normal distribution were presented as median (Q 1, Q 3). Categorical variables were expressed as percentages. The Chi-square test and logistic regression analysis were used to identify risk factors for CE. Logistic curve fitting was performed to predict the time to secondary CE in TBI patients with different levels of injuries. The efficacy of the model was evaluated using the receiver operator characteristic curve. Results::According to the study, almost half (47.3%) of the patients were found to have CE. The risk factors associated with CE were bilateral frontal lobe contusion, unilateral frontal lobe contusion, cerebral contusion, subarachnoid hemorrhage, and abbreviated injury scale (AIS). The odds ratio values for these factors were 7.27 (95% confidence interval ( CI): 2.08 -25.42, p = 0.002), 2.85 (95% CI: 1.11 -7.31, p = 0.030), 2.62 (95% CI: 1.12 -6.13, p = 0.027), 2.44 (95% CI: 1.25 -4.76, p = 0.009), and 1.5 (95% CI: 1.10 -2.04, p = 0.009), respectively. We also observed that patients with mild/moderate TBI (AIS ≤ 3) had a 50% probability of developing CE 19.7 h after injury (χ 2= 13.82, adjusted R2 = 0.51), while patients with severe TBI (AIS > 3) developed CE after 12.5 h (χ 2= 18.48, adjusted R2 = 0.54). Finally, we conducted a receiver operator characteristic curve analysis of CE time, which showed an area under the curve of 0.744 and 0.672 for severe and mild/moderate TBI, respectively. Conclusion::Our study found that the onset of CE in individuals with TBI resulting from RTAs was correlated with the severity of the injury. Specifically, those with more severe injuries experienced an earlier onset of CE. These findings suggest that there is a critical time window for clinical intervention in cases of CE secondary to TBI.

Objective:To investigate the incidence of postoperative complications in Chinese patients with gastric or colorectal cancer, and to evaluate the risk factors for postoperative complications.Methods:This was a national, multicenter, prospective, registry-based, cohort study of data obtained from the database of the Prevalence of Abdominal Complications After Gastro- enterological Surgery (PACAGE) study sponsored by the China Gastrointestinal Cancer Surgical Union. The PACAGE database prospectively collected general demographic characteristics, protocols for perioperative treatment, and variables associated with postoperative complications in patients treated for gastric or colorectal cancer in 20 medical centers from December 2018 to December 2020. The patients were grouped according to the presence or absence of postoperative complications. Postoperative complications were categorized and graded in accordance with the expert consensus on postoperative complications in gastrointestinal oncology surgery and Clavien-Dindo grading criteria. The incidence of postoperative complications of different grades are presented as bar charts. Independent risk factors for occurrence of postoperative complications were identified by multifactorial unconditional logistic regression.Results:The study cohort comprised 3926 patients with gastric or colorectal cancer, 657 (16.7%) of whom had a total of 876 postoperative complications. Serious complications (Grade III and above) occurred in 4.0% of patients (156/3926). The rate of Grade V complications was 0.2% (7/3926). The cohort included 2271 patients with gastric cancer with a postoperative complication rate of 18.1% (412/2271) and serious complication rate of 4.7% (106/2271); and 1655 with colorectal cancer, with a postoperative complication rate of 14.8% (245/1655) and serious complication rate of 3.0% (50/1655). The incidences of anastomotic leakage in patients with gastric and colorectal cancer were 3.3% (74/2271) and 3.4% (56/1655), respectively. Abdominal infection was the most frequently occurring complication, accounting for 28.7% (164/572) and 39.5% (120/304) of postoperative complications in patients with gastric and colorectal cancer, respectively. The most frequently occurring grade of postoperative complication was Grade II, accounting for 65.4% (374/572) and 56.6% (172/304) of complications in patients with gastric and colorectal cancers, respectively. Multifactorial analysis identified (1) the following independent risk factors for postoperative complications in patients in the gastric cancer group: preoperative comorbidities (OR=2.54, 95%CI: 1.51-4.28, P<0.001), neoadjuvant therapy (OR=1.42, 95%CI:1.06-1.89, P=0.020), high American Society of Anesthesiologists (ASA) scores (ASA score 2 points:OR=1.60, 95% CI: 1.23-2.07, P<0.001, ASA score ≥3 points:OR=0.43, 95% CI: 0.25-0.73, P=0.002), operative time >180 minutes (OR=1.81, 95% CI: 1.42-2.31, P<0.001), intraoperative bleeding >50 mL (OR=1.29,95%CI: 1.01-1.63, P=0.038), and distal gastrectomy compared with total gastrectomy (OR=0.65,95%CI: 0.51-0.83, P<0.001); and (2) the following independent risk factors for postoperative complications in patients in the colorectal cancer group: female (OR=0.60, 95%CI: 0.44-0.80, P<0.001), preoperative comorbidities (OR=2.73, 95%CI: 1.25-5.99, P=0.030), neoadjuvant therapy (OR=1.83, 95%CI:1.23-2.72, P=0.008), laparoscopic surgery (OR=0.47, 95%CI: 0.30-0.72, P=0.022), and abdominoperineal resection compared with low anterior resection (OR=2.74, 95%CI: 1.71-4.41, P<0.001). Conclusion:Postoperative complications associated with various types of infection were the most frequent complications in patients with gastric or colorectal cancer. Although the risk factors for postoperative complications differed between patients with gastric cancer and those with colorectal cancer, the presence of preoperative comorbidities, administration of neoadjuvant therapy, and extent of surgical resection, were the commonest factors associated with postoperative complications in patients of both categories.

Objective:To investigate the incidence of postoperative complications in Chinese patients with gastric or colorectal cancer, and to evaluate the risk factors for postoperative complications.Methods:This was a national, multicenter, prospective, registry-based, cohort study of data obtained from the database of the Prevalence of Abdominal Complications After Gastro- enterological Surgery (PACAGE) study sponsored by the China Gastrointestinal Cancer Surgical Union. The PACAGE database prospectively collected general demographic characteristics, protocols for perioperative treatment, and variables associated with postoperative complications in patients treated for gastric or colorectal cancer in 20 medical centers from December 2018 to December 2020. The patients were grouped according to the presence or absence of postoperative complications. Postoperative complications were categorized and graded in accordance with the expert consensus on postoperative complications in gastrointestinal oncology surgery and Clavien-Dindo grading criteria. The incidence of postoperative complications of different grades are presented as bar charts. Independent risk factors for occurrence of postoperative complications were identified by multifactorial unconditional logistic regression.Results:The study cohort comprised 3926 patients with gastric or colorectal cancer, 657 (16.7%) of whom had a total of 876 postoperative complications. Serious complications (Grade III and above) occurred in 4.0% of patients (156/3926). The rate of Grade V complications was 0.2% (7/3926). The cohort included 2271 patients with gastric cancer with a postoperative complication rate of 18.1% (412/2271) and serious complication rate of 4.7% (106/2271); and 1655 with colorectal cancer, with a postoperative complication rate of 14.8% (245/1655) and serious complication rate of 3.0% (50/1655). The incidences of anastomotic leakage in patients with gastric and colorectal cancer were 3.3% (74/2271) and 3.4% (56/1655), respectively. Abdominal infection was the most frequently occurring complication, accounting for 28.7% (164/572) and 39.5% (120/304) of postoperative complications in patients with gastric and colorectal cancer, respectively. The most frequently occurring grade of postoperative complication was Grade II, accounting for 65.4% (374/572) and 56.6% (172/304) of complications in patients with gastric and colorectal cancers, respectively. Multifactorial analysis identified (1) the following independent risk factors for postoperative complications in patients in the gastric cancer group: preoperative comorbidities (OR=2.54, 95%CI: 1.51-4.28, P<0.001), neoadjuvant therapy (OR=1.42, 95%CI:1.06-1.89, P=0.020), high American Society of Anesthesiologists (ASA) scores (ASA score 2 points:OR=1.60, 95% CI: 1.23-2.07, P<0.001, ASA score ≥3 points:OR=0.43, 95% CI: 0.25-0.73, P=0.002), operative time >180 minutes (OR=1.81, 95% CI: 1.42-2.31, P<0.001), intraoperative bleeding >50 mL (OR=1.29,95%CI: 1.01-1.63, P=0.038), and distal gastrectomy compared with total gastrectomy (OR=0.65,95%CI: 0.51-0.83, P<0.001); and (2) the following independent risk factors for postoperative complications in patients in the colorectal cancer group: female (OR=0.60, 95%CI: 0.44-0.80, P<0.001), preoperative comorbidities (OR=2.73, 95%CI: 1.25-5.99, P=0.030), neoadjuvant therapy (OR=1.83, 95%CI:1.23-2.72, P=0.008), laparoscopic surgery (OR=0.47, 95%CI: 0.30-0.72, P=0.022), and abdominoperineal resection compared with low anterior resection (OR=2.74, 95%CI: 1.71-4.41, P<0.001). Conclusion:Postoperative complications associated with various types of infection were the most frequent complications in patients with gastric or colorectal cancer. Although the risk factors for postoperative complications differed between patients with gastric cancer and those with colorectal cancer, the presence of preoperative comorbidities, administration of neoadjuvant therapy, and extent of surgical resection, were the commonest factors associated with postoperative complications in patients of both categories.