Diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia,which long-term loss of control can lead to complications of blood vessels of heart,renal and other multi-system,and even threaten the patient's life.Monitoring for blood glucose is crucial for adjusting treatment and preventing complications.Traditional invasive glucose monitoring technology requires frequent blood collection,which not only leads to significant pain in patients,but also poses the risk of infection at the puncture site,coupled with the reduced compliance brought about by cumbersome operation,which seriously restricts the effectiveness and continuity of blood glucose management.The non-invasive monitoring technique for blood glucose can enhance frequency of monitoring,and comfort level through optical method,biosensing method,etc.,which has key values in optimizing glycemic control,reducing risk of complications,and decreasing medical cost.It is becoming a hot point of research.This review summarized a noninvasive monitoring technique system included sample analysis method,optical method and physiological process-based method,which analyzed principles,advantages,and limitations of its development of each detection method.The review also concluded the challenges of noninvasive monitoring technique for blood glucose in some aspects included overcoming individual differences,enhancing precision of measurement,and improving accuracy and stability.In addition,it proposed some developing directions of noninvasive monitoring technique in future,such as continuous monitoring equipment with low cost,establishment of standardized database,and individual validation,so as to promote implementation of noninvasive monitoring technique for blood glucose,and realize accurate management for diabetes mellitus.

Diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia,which long-term loss of control can lead to complications of blood vessels of heart,renal and other multi-system,and even threaten the patient's life.Monitoring for blood glucose is crucial for adjusting treatment and preventing complications.Traditional invasive glucose monitoring technology requires frequent blood collection,which not only leads to significant pain in patients,but also poses the risk of infection at the puncture site,coupled with the reduced compliance brought about by cumbersome operation,which seriously restricts the effectiveness and continuity of blood glucose management.The non-invasive monitoring technique for blood glucose can enhance frequency of monitoring,and comfort level through optical method,biosensing method,etc.,which has key values in optimizing glycemic control,reducing risk of complications,and decreasing medical cost.It is becoming a hot point of research.This review summarized a noninvasive monitoring technique system included sample analysis method,optical method and physiological process-based method,which analyzed principles,advantages,and limitations of its development of each detection method.The review also concluded the challenges of noninvasive monitoring technique for blood glucose in some aspects included overcoming individual differences,enhancing precision of measurement,and improving accuracy and stability.In addition,it proposed some developing directions of noninvasive monitoring technique in future,such as continuous monitoring equipment with low cost,establishment of standardized database,and individual validation,so as to promote implementation of noninvasive monitoring technique for blood glucose,and realize accurate management for diabetes mellitus.

Objective This study is focused on ultrasound multimodality examination,which refers to the combined use of three ultrasound examination modalities,ultrasound(US),acoustic radiation force impulse(ARFI)imaging,and contrast-enhanced ultrasound(CEUS).The purpose of this study is to analyze the value of applying ultrasound multimodality examination in the differential diagnosis of benign and malignant breast non-mass-like lesions(NMLs).Methods Cases of breast NMLs were analyzed retrospectively,and the nature of all the lesions was verified by pathological examination.Based on the gray-scale ultrasound image characteristics,the cases were classified into types Ⅰto Ⅴ,and type Ⅰ and type Ⅱ were further classified into 4 subtypes,Ⅰa,Ⅰ b,Ⅱ a,and Ⅱ b,according to whether there was also calcification,and the proportion of malignant cases in each subtype was statistically analyzed.Logistic regression models of US,US+ARFI,US+CEUS,and US+ARFI+CEUS for the diagnosis of malignant cases were established,ROC curves were drawn,the area under the curve(AUC)was calculated,and comparisons were made accordingly.The detection rate of malignant NMLs without calcification(atypical malignant NMLs)by the combination examination of US,ARFI,and CEUS was analyzed.Results A total of 407 cases were included in the study.All subjects were female,aged 22 to 81 years,with the average age being(47.0±1 1.0)years.There were 220 benign cases and 187 malignant cases.Ranked from the highest to the lowest,the malignancy proportion of the different types wasⅠb＞Ⅱb＞Ⅲ＞V＞Ⅰa＞Ⅱa＞Ⅳ.The malignant proportion of the low echo area with calcification was significantly higher than that of the lesions without calcification.The AUC(95％confidence interval[CI])for diagnosing malignant cases with the logistic regression models of US,US+ARFI,US+CEUS,and US+ARFI+CEUS were 0.895(0.862-0.927),0.908(0.878-0.937),0.921(0.893-0.948),and 0.927(0.902-0.952),respectively.Comparison of the AUC of the 4 regression models showed significant differences(P＜0.001).The detection rate of US for NMLs without calcification was 80.7％.When US was used in combination with ARFI and CEUS,86.4％of the malignant NMLs lesions without calcification could be detected if the lesion CEUS score was 4 or 5 points or if shear-wave velocity(SWV)≥4.28 m/s.Conclusion Breast NMLs with calcification show high risks of malignancy,and a pathological examination is always recommended for a conclusive diagnosis.Ultrasound multimodality examination can improve the diagnostic accuracy of breast NML without calcification.

The aim of this study is to evaluate the effectiveness of a smart non-invasive blood glucose monitor prototype during pregnancy through clinical validation.The monitor utilizes near-infrared spectroscopy combined with AI big data analysis of photoelectric volumetric pulse wave data to achieve non-invasive monitoring of blood glucose in women during pregnancy.The research team developed a monitor that employs a sensing chip,effectively overcoming the problems of weak signals and individual differences in non-invasive blood glucose monitoring.The user experience is enhanced by visualizing the test results on the accompanying cell phone APP(application)of the smart non-invasive pregnancy blood glucose monitor.Clinical validation revealed that the non-invasive monitoring data for pregnant women aged 20～30 years significantly differed from those obtained via traditional blood glucose measurement methods,whereas no significant difference(P<0.05)was observed for pregnant women aged 31～42 years.The study concluded that further calibration of the monitor and an expansion of the sample size are necessary to enhance consistency with invasive glucose monitoring results.

Ado-trastuzumab emtansine (T-DM1) is a conjugate of trastuzumab and emtansine, which is one of the options for adjuvant therapy of residual invasive lesions after neoadjuvant therapy and rescue treatment of advanced breast cancer in patients with human epidermal growth factor receprot 2(HER2) mutation. Thrombocytopenia is one of the common adverse reactions of T-DM1. The incidence of all grade of thrombocytopenia was 3.6%-38.2%, and the incidence of grade 3 and above of thrombocytopenia was 0.4%-14.3% during treatment. The risk of thrombocytopenia is higher in Asian populations, patients with prior therapy of platinum, and those with a baseline platelet count of ≤200×10 9/L. The mechanism of thrombocytopenia caused by T-DM1 is not clear. Attention should be paid to monitoring platelet count during treatment, and patients with thrombocytopenia should be treated according to the severity.

Ado-trastuzumab emtansine (T-DM1) is a conjugate of trastuzumab and emtansine, which is one of the options for adjuvant therapy of residual invasive lesions after neoadjuvant therapy and rescue treatment of advanced breast cancer in patients with human epidermal growth factor receprot 2(HER2) mutation. Thrombocytopenia is one of the common adverse reactions of T-DM1. The incidence of all grade of thrombocytopenia was 3.6%-38.2%, and the incidence of grade 3 and above of thrombocytopenia was 0.4%-14.3% during treatment. The risk of thrombocytopenia is higher in Asian populations, patients with prior therapy of platinum, and those with a baseline platelet count of ≤200×10 9/L. The mechanism of thrombocytopenia caused by T-DM1 is not clear. Attention should be paid to monitoring platelet count during treatment, and patients with thrombocytopenia should be treated according to the severity.

The Monte Carlo N-Particle (MCNP) is often used to calculate the radiation dose during computed tomography (CT) scans. However, the physical calculation process of the model is complicated, the input file structure of the program is complex, and the three-dimensional (3D) display of the geometric model is not supported, so that the researchers cannot establish an accurate CT radiation system model, which affects the accuracy of the dose calculation results. Aiming at these two problems, this study designed a software that visualized CT modeling and automatically generated input files. In terms of model calculation, the theoretical basis was based on the integration of CT modeling improvement schemes of major researchers. For 3D model visualization, LabVIEW was used as the new development platform, constructive solid geometry (CSG) was used as the algorithm principle, and the introduction of editing of MCNP input files was used to visualize CT geometry modeling. Compared with a CT model established by a recent study, the root mean square error between the results simulated by this visual CT modeling software and the actual measurement was smaller. In conclusion, the proposed CT visualization modeling software can not only help researchers to obtain an accurate CT radiation system model, but also provide a new research idea for the geometric modeling visualization method of MCNP.
Radiation Dosage ; Software Design ; Tomography, X-Ray Computed/methods* ; Software ; Algorithms ; Phantoms, Imaging ; Monte Carlo Method

In recent years, photon-counting computed tomography (PCD-CT) based on photon-counting detectors (PCDs) has become increasingly utilized in clinical practice. Compared with conventional CT, PCD-CT has the potential to achieve micron-level spatial resolution, lower radiation dose, negligible electronic noise, multi-energy imaging, and material identification, etc. This advancement facilitates the promotion of ultra-low dose scans in clinical scenarios, potentially detecting minimal and hidden lesions, thus significantly improving image quality. However, the current state of the art is limited and issues such as charge sharing, pulse pileup, K-escape and count rate drift remain unresolved. These issues could lead to a decrease in image resolution and energy resolution, while an increasing in image noise and ring artifact and so on. This article systematically reviewed the physical principles of PCD-CT, and outlined the structural differences between PCDs and energy integration detectors (EIDs), and the current challenges in the development of PCD-CT. In addition, the advantages and disadvantages of three detector materials were analysed. Then, the clinical benefits of PCD-CT were presented through the clinical application of PCD-CT in the three diseases with the highest mortality rate in China (cardiovascular disease, tumour and respiratory disease). The overall aim of the article is to comprehensively assist medical professionals in understanding the technological innovations and current technical limitations of PCD-CT, while highlighting the urgent problems that PCD-CT needs to address in the coming years.
Tomography, X-Ray Computed/methods* ; Photons ; Noise ; China ; Phantoms, Imaging

Background::As a non-invasive and effective diagnostic method for small intestinal bacterial overgrowth (SIBO), wild-use of breath test (BT) has demonstrated a high comorbidity rate in patients with diarrhea-predominant irritable bowel syndrome (IBS-D) and SIBO. Patients overlapping with SIBO respond better to rifaximin therapy than those with IBS-D only. Gut microbiota plays a critical role in both of these two diseases. We aimed to determine the microbial difference between IBS-D overlapping with/without SIBO, and to study the underlying mechanism of its sensitivity to rifaximin.Methods::Patients with IBS-D were categorized as BT-negative (IBSN) and BT-positive (IBSP). Healthy volunteers (BT-negative) were enrolled as healthy control. The patients were clinically evaluated before and after rifaximin treatment (0.4 g bid, 4 weeks). Blood, intestine, and stool samples were collected for cytokine assessment and gut microbial analyses.Results::Clinical complaints and microbial abundance were significantly higher in IBSP than in IBSN. In contrast, severe systemic inflammation and more active bacterial invasion function that were associated with enrichment of opportunistic pathogens were seen in IBSN. The symptoms of IBSP patients were relieved in different degrees after therapy, but the symptoms of IBSN rarely changed. We also found that the presence of IBSN-enriched genera ( Enterobacter and Enterococcus) are unaffected by rifaximin therapy. Conclusions::IBS-D patients overlapping with SIBO showed noticeably different fecal microbial composition and function compared with IBS-D only. The better response to rifaximin in those comorbid patients might associate with their different gut microbiota, which suggests that BT is necessary before IBS-D diagnosis and use of rifaximin.Registration::Chinese Clinical Trial Registry, ChiCTR1800017911.

The radiation risk caused by CT examination is of great concern. Organ dose is considered to be the most significant technical parameter for quantifying the patient radiation dose and assessing the corresponding risk. At present, the methods to obtain patient organ dose caused by CT examination mainly include physical phantom measurement, direct human body measurement, dose conversion coefficient, Monte Carlo simulation, and dose calculation software. Although different methods have their own characteristics and application, the individualization of organ dose is always the goal of radiation protection and dosimetry research. Patient-specific phantom developed with artificial intelligence and GPU-accelerated Monte Carlo simulation make it possible to calculate the patient-specific organ dose, and the patient-specific organ dose extrapolated by the CT detector signal provides a new solution.