Mobile computed tomography (CT) can be used for critically ill patients’ bedside CT scans in an operating room or intensive care unit because of its flexibility and convenience compared to conventional CT. Meanwhile, attention has been paid to the ionizing radiation hazards brought by mobile CT scans due to a lack of wall shielding protection from a fixed machinery room, especially the control of radiation dose to the surrounding medical staff and the public. This article mainly discusses the radiation protection of mobile CT from aspects such as radiation protection principles, protection management, and protection of examinees, staff, and the public by summarizing relevant standards, guidelines, and literature in China and globally to provide a reference for the standardized use of mobile CT.

Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections. Herein, we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering (SERS) and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease (MNase) in serum samples. The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) molecules to SERS-enhanced oxidized TMB (oxTMB), accompanied by the color change from colorless to blue. In the presence of S. aureus, the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads (MBs) to release alkaline phosphatase (ALP), which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away. Using this "on-to-off" triggering strategy, the target S. aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode. Meanwhile, the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis (n = 7) and healthy participants (n = 3), as well as monitored the prognostic progression of the disease (n = 2). Overall, benefiting from highly active and dense "hot spot" substrate, MNase-mediated cascade response strategy, and colorimetric/SERS dual-signal output, this methodology will offer a promising avenue for the early diagnosis of S. aureus infection.

Objective To compare the safety of laparoscopic pancreatoduodenectomy(LPD)and open pancreatoduodenectomy(OPD)and analyze the learning curve and safety at different stages of LPD.Methods A retrospective analysis was conducted on the clinical data of 50 LPD patients and 54 OPD patients in the Department of Hepatopancreatobiliary Surgery of Suzhou Hospital Affiliated to Nanjing Medical University from January 2020 to June 2024,and intraoperative and postoperative conditions were compared.The Cumulative Sum(CUSUM)analysis method was used to analyze the technical nodes of the LPD learning curve.Results There were no significant differences in operation time and intraoperative blood loss between the LPD group and the OPD group(P＞0.05).There was also no significant difference in the incidence rates of pancreatic fistula(grade B and C),delayed gastric emptying,postoperative bleeding,biliary fistula and intra-abdominal infection between the LPD group and the OPD group(P＞0.05).A time series plot of operation time was drawn based on the patient's operation time and surgical sequence,yielding a fitted curve.Curve analysis showed initial stage and stable stage were finished at the 17th and 24th cases.The LPD learning curve could be divided into three stages:stage Ⅰ characterized as the initial stage(cases 1 to 17),stage Ⅱ characterized as the stable stage(cases 18 to 24),and stage Ⅲ characterized as the proficient stage(cases 25 to 50).The operation time in stages Ⅱ and Ⅲ was significantly shorter than that in stage Ⅰ,and the intraoperative blood loss in stage Ⅰ was significantly higher than that in stage Ⅲ(P＜0.05).There was no significant difference in the incidence of complications among the three stages(P＞0.05).Conclusion LPD and OPD show no significant differences in indications and safety.The LPD learning curve can be divided into three stages.As the number of surgeries completed increa-ses,the operation time of physicians gradually shortens,and the incidence of complications of patients gradually decreases.

Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections.Herein,we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering(SERS)and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease(MNase)in serum samples.The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine(TMB)molecules to SERS-enhanced oxidized TMB(oxTMB),accompanied by the color change from colorless to blue.In the presence of S.aureus,the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads(MBs)to release alkaline phosphatase(ALP),which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away.Using this"on-to-off"triggering strategy,the target S.aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode.Meanwhile,the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis(n=7)and healthy participants(n=3),as well as monitored the prog-nostic progression of the disease(n=2).Overall,benefiting from highly active and dense"hot spot"substrate,MNase-mediated cascade response strategy,and colorimetric/SERS dual-signal output,this methodology will offer a promising avenue for the early diagnosis of S.aureus infection.

The close relationship between gastric cancer (GC) and type 2 diabetes mellitus (T2DM) has garnered significant attention. On one hand, T2DM may play a role in the development and progression of GC, correlating with poor patient outcomes. On the other hand, after radical surgery for GC, T2DM can be effectively managed, potentially improving tumor prognosis. In recent years, bariatric and metabolic surgery (BMS) has revolutionized T2DM treatment for obese and overweight patients. Comparative analyses reveal similarities between surgical approaches for gastric cancer and BMS, leading to the emergence of the onco-metabolic surgery (OMS) concept, which suggests that radical tumor resection and T2DM remission in GC patients can be potentially achieved through a single procedure. However, there are notable differences between OMS and BMS, including target populations, surgical details, and perioperative management. Therefore, optimizing the application of the OMS concept in GC patients holds significant clinical importance. This article provides a review to facilitate the better implementation of this concept in practice.

The close relationship between gastric cancer (GC) and type 2 diabetes mellitus (T2DM) has garnered significant attention. On one hand, T2DM may play a role in the development and progression of GC, correlating with poor patient outcomes. On the other hand, after radical surgery for GC, T2DM can be effectively managed, potentially improving tumor prognosis. In recent years, bariatric and metabolic surgery (BMS) has revolutionized T2DM treatment for obese and overweight patients. Comparative analyses reveal similarities between surgical approaches for gastric cancer and BMS, leading to the emergence of the onco-metabolic surgery (OMS) concept, which suggests that radical tumor resection and T2DM remission in GC patients can be potentially achieved through a single procedure. However, there are notable differences between OMS and BMS, including target populations, surgical details, and perioperative management. Therefore, optimizing the application of the OMS concept in GC patients holds significant clinical importance. This article provides a review to facilitate the better implementation of this concept in practice.

ECG signals and sleep monitoring parameters complement each other and can be used for qualitative diagnosis of sleep apnea syndrome and cardio-related diseases.However,due to the limitations of the instrument volume and the detection environment,it is often challenging to integrate these two functions in practical applications.In this paper,a 12-lead dynamic electrocardiograph integrated with sleep monitoring is designed.The system's volume is reduced by combining the integrated ECG simulation front end with a miniature sensor.The system achieves the extraction,conditioning,and calculation of 12-lead ECG signals and sleep-related parameters and writes the data to a memory card in real time,which offers convenience for users and doctors in the diagnostic process.

Cardiopulmonary exercise testing(CPET)refers to a method of measuring various indicators of the human body under gradually increasing exercise loads to objectively evaluate cardiopulmonary reserve function and exercise endurance.Currently,CPET detection systems primarily measure subjects'ECG,respiratory flow,oxygen(O2),and carbon dioxide(CO2)parameters.This paper introduces a non-invasive multi-parameter exercise cardiopulmonary function evaluation system that incorporates impedance cardiography monitoring.The system integrates impedance cardiography monitoring with conventional CPET detection parameters and detects changes in the hemodynamic parameters of the body during exercise,aiding in the evaluation of exercise capacity.Additionally,the system features a portable design with Wi-Fi wireless transmission,which enhances its applicability.

Epigenetic therapies that cause genome-wide epigenetic alterations, could trigger local interplay between different histone marks, leading to a switch of transcriptional outcome and therapeutic responses of epigenetic treatment. However, in human cancers with diverse oncogenic activation, how oncogenic pathways cooperate with epigenetic modifiers to regulate the histone mark interplay is poorly understood. We herein discover that the hedgehog (Hh) pathway reprograms the histone methylation landscape in breast cancer, especially in triple-negative breast cancer (TNBC). This facilitates the histone acetylation caused by histone deacetylase (HDAC) inhibitors and gives rise to new therapeutic vulnerability of combination therapies. Specifically, overexpression of zinc finger protein of the cerebellum 1 (ZIC1) in breast cancer promotes Hh activation, facilitating the switch of H3K27 methylation (H3K27me) to acetylation (H3K27ac). The mutually exclusive relationship of H3K27me and H3K27ac allows their functional interplay at oncogenic gene locus and switches therapeutic outcomes. Using multiple in vivo breast cancer models including patient-derived TNBC xenograft, we show that Hh signaling-orchestrated H3K27me and H3K27ac interplay tailors combination epigenetic drugs in treating breast cancer. Together, this study reveals the new role of Hh signaling-regulated histone modifications interplay in responding to HDAC inhibitors and suggests new epigenetically-targeted therapeutic solutions for treating TNBC.

Objective:This paper is to propose a calibration model based on sine function which enables more choices to determine the functional relationship between the absorbance and the concentration of the tested substance.Methods:This paper uses Taylor series expansion and Levenberg-Marquardt to obtain the optimal parameters for the Sine model and then summarizes the characters of the Sine model. On the basis of these characters, this paper compares and evaluates the experimental data processed by the Sine model from four aspects: correctness, precision, linearity and correlation.Results:The generated sine function calibration model achieved deviations within ±3% of the national standard substance, precision ( CV%) less than 2%, and a linear correlation coefficient greater than 0.990 within the measurement range of 32-710 mg/L. The correlation coefficients between the sine model and other well-performing linear calibration models for 104 clinical samples were all greater than 0.990. Conclusions:The performance evaluation of the prealbumin assay kit using the sine function calibration model meets industry standards and shows good correlation with the results of clinical sample measurements. This indicates that the sine function calibration model can serve as a new calibration model for in vitro diagnostic research and clinical applications.