中国医疗器械杂志最新文献

As a new type of high-risk packaging container, prefilled syringes are more widely used, and concerns regarding their effectiveness, stability and safety in clinical use have become prominent increasingly. However, the leachable substances from prefilled syringes may cause harm to humans in different degrees. Therefore, this paper reviews the research progress of leachable substances in prefilled syringes, which is not only of great significance for the quality control of prefilled syringe products, but also contributes to the healthy development of the industry.

To address the limitations of traditional minimally invasive thermal ablation technology such as poor conformability, carbonization and electromagnetic radiation, this paper proposes a steam thermal ablation technology that uses saturated steam internal energy to replace the traditional electromagnetic radiation energy. Through the steam thermal ablation system and the steam thermal ablation needle designed based on simulation, the ex vivo pig liver experiments were carried out. The results have the characteristics of the maximum ablation axis ratio (short diameter / long diameter) and non-carbonization with the same type of thermal ablation technology. Based on the near-infrared light, in this paper the curative effect of the reduced scattering coefficient of the steam thermal ablation results was evaluated. The reduced scattering coefficients of the coagulation area all exceeded 16, reaching the completely damaged state, which verified that the steam thermal ablation can effectively inactivate the tumor cells.

This study establishes a high-performance liquid chromatography (HPLC) method for the determination of acetate content in hemodialysis solutions and dialysis concentrates. In this study, Synergi Polar-RP column is utilized. Phosphate buffered saline (50 mmol/L, pH=2.5) is used as a mobile phase. The flow rate is 1.0 mL/min. The wavelength of detection is 212 nm. Results show that the linear relationship of acetate is good in the range of 0.1~20 mmol/L, r =0.999 9 and the spike recoveries are from 98.9%~99.5%, RSD<0.5% ( n=3). This method can easily and accurately determine the acetate content in hemodialysis solutions and dialysis concentrates, and can be applied to quality control in the production and use of such products.

In this study, the pre-market regulatory requirements for typical Class Ⅱ wound dressings, as well as the status of testing and post-market adverse events monitoring, were reviewed from the perspective of the whole lifecycle of medical devices. Additionally, the regulatory requirements for wound dressings in China, the United States, and the European Union were compared. Supplementary research was also conducted on Class Ⅰ and Ⅱ liquid and paste dressing products. Furthermore, this study analyzed the issues in the registration and application of typical Class Ⅱ wound dressings and provided regulatory recommendations, aiming to offer technical references for the review and approval, inspection and testing, and post-market supervision of wound dressing products.

Medical equipment management plays a crucial role in enhancing the quality and efficiency of healthcare services. However, traditional management approaches are increasingly inadequate to meet the growing demands of modern healthcare. As intelligent operation and maintenance (O&M) models based on big data, the Internet of Things (IoT), and artificial intelligence (AI) technologies develop, it is imperative to explore their application in medical equipment management. This paper reviews the technical overview of intelligent O&M and discusses the algorithms and challenges of intelligent O&M models based on different technologies. It also proposes issues that need improvement in intelligent O&M models, aiming to provide valuable references for the future development of medical equipment management.

This study evaluated the healing-promoting effect and applicability of seven new dressings in chronic wounds. A chronic wound model was established using 48 db/db diabetic mice, which were randomly divided into 8 groups (control, polymer film, alginate, foam, hydrocolloid, hydrogel, carbon fiber, and silver dressing groups). Regular monitoring was conducted on the 5, 10, 15, and 20 days after surgery, and a comprehensive evaluation was performed based on healing rate, characteristic of histopathology, and semi-quantitative scoring. The results showed that, except for the polymer film dressing group, all other dressing groups had significantly better healing-promoting effect than the control group ( P＜0.05), with the hydrocolloid, carbon fiber, and silver dressing groups demonstrated particularly outstanding efficacy. This study systematically compared the efficacy differences of seven dressings, and combined them with the adhesion, exudate volume and infection risks to provide a scientific basis for clinical dressing selection.

After the production of the gradient coil of the magnetic resonance imaging system, electromagnetic field testing is required to verify whether the assembly accuracy meets the electromagnetic field requirements. Since the passive magnetic field B _z satisfies the Laplace ^,s equation and is a harmonic function, and according to the extreme value principle of harmonic function, the maximum or minimum values of B _z can only appear on the boundaries, so the observation points of the magnetic field are generally selected on the surface of the spherical imaging area. For superconducting magnets used for human body magnetic resonance imaging, a spherical area with a center diameter of 40~50 cm is generally selected as the shimming target area. Only the field value of the target area needs to be measured, and the spherical harmonic coefficients obtained after data processing are used to determine the magnetic field performance of the gradient coil. There are many testing principles and methods for electromagnetic fields, so there is no unified way and method in the field of commercial applications. This article is based on the Gauss-Legendre numerical integration, measures and analyzes the magnetic field performance of gradient coils by building a data acquisition system, and this article applies numerical analysis methods to calculate the spherical harmonic coefficients of the magnetic field using discrete test data, providing a feasible method for the production and testing of gradient coils.

From the perspective of performance evaluation, this paper describes briefly the concerns of study on each component module and the entire instrument, clinical items, software, and product testing on droplet digital PCR instruments, including the study methods and quality control requirements. The increase of the research and development efficiency of products and contribute to the promotion of application of digital PCR instruments in clinical laboratories are expected.

The rapid development of nanomaterials has brought groundbreaking opportunities for high-quality innovation in medical devices, but it has also become a new challenge for regulatory authorities. How to scientifically and rationally evaluate the risks of medical device products with nanomaterials and establish appropriate regulatory classifications have become critical research priorities. To solve this problem, this study focuses on medical devices with nanomaterials, conducts a comparative analysis of domestic and international regulatory classification policies, reviews the current registration status of related products, and provides recommendations on key considerations for the classification and regulation of medical devices with nanomaterials, which aims at promoting high-quality advancement in China's medical device regulation.

Computer-assisted methods for pathological image analysis can improve doctor's efficiency of image reading and diagnostic accuracy, effectively addressing the shortage of pathology diagnostic manpower. With the rapid development of artificial intelligence and digital pathology, deep learning technology has spurred a wealth of research in the field of histopathology. This article reviews the various applications of deep learning in digital pathological image analysis, such as pathological image segmentation, cancer auxiliary diagnosis, and cancer prognosis prediction, and discusses the challenges and solutions in its application. Furthermore, it predicts future trends in deep learning for pathological image analysis and proposes potential research directions.