Application status of risk assessment models for periodontal disease / 口腔疾病防治

@#Risk assessment models for periodontal disease provide dentists with a precise and consolidated evaluation of the prognosis of periodontitis, enabling the formulation of personalized treatment plans. Periodontal risk assessment systems have been widely applied in clinical practice and research. The application fields of periodontal risk assessment systems vary based on the distinctions between clinical periodontal parameters and risk factors. The assessment models listed below are commonly used in clinical practice, including the periodontal risk calculator (PRC), which is an individual-based periodontal risk assessment tool that collects both periodontal and systemic information for prediction; the periodontal assessment tool (PAT), which allows for quantitative differentiation of stages of periodontal disease; the periodontal risk assessment (PRA) and modified periodontal risk assessment (mPRA), which are easy to use; and the classification and regression trees (CART), which assess the periodontal prognosis based on a single affected tooth. Additionally, there are orthodontic-periodontal combined risk assessment systems and implant periapical risk assessment systems tailored for patients needing multidisciplinary treatment. This review focuses on the current application status of periodontal risk assessment systems.

Research progress of organoid models in bladder cancer / 中国肿瘤临床

Organoids are novel in vitro models that can effectively simulate the complexities of tumor microenvironments.Compared to tra-ditional preclinical models,organoids retain most of the histological and molecular properties of the primary tumor;therefore,they are more useful for studying tumor heterogeneity,underlying functional pathways,and immune microenvironments as well as for research on biomarker discovery,drug screening,and individual chemotherapy.Furthermore,current limitations,challenges such as low modeling suc-cess rates,high costs,and lack of standardization are expected to be overcome by continued innovations in bioengineering technologies and interdisciplinary integration.This article reviews the advantages,establishment processes,and prospects and challenges associated with the clinical application of organoids in bladder cancer.

Progress of non-pharmacological treatments for treatment-resistant depression / 实用医学杂志

Depression,with its characteristics of high prevalence,younger onset age,and high suicide rate,has repeatedly become the focus of societal discussion.It severely impairs the quality of life of patients and affects the development of the economy.Currently,treatments for depression are limited and vary in effectiveness.An increasing number of patients are classified as having treatment-resistant depression.In order to improve the cure rate further,numerous non-pharmacological treatments have been explored,among which physical therapies have garnered significant attention.This article provides a brief overview and discussion of recent physical treatments for treatment-resistant depression,offering new prospects for the field and inspiring readers with fresh ideas.

A Multiplex Network Control Method for Identifying Personalized Cancer Driver Genes / 生物化学与生物物理进展

ObjectiveInferring cancer driver genes, especially rare or sample-specific cancer driver genes, is crucial for precision oncology. Considering the high inter-tumor heterogeneity, a few recent methods attempt to reveal cancer driver genes at the individual level. However, most of these methods generally integrate multi-omics data into a single biomolecular network (e.g., gene regulatory network or protein-protein interaction network) to identify cancer driver genes, which results in missing important interactions highlighted in different networks. Thus, the development of a multiplex network method is imperative in order to integrate the interactions of different biomolecular networks and facilitate the identification of cancer driver genes. MethodsA multiplex network control method called Personalized cancer Driver Genes with Multiplex biomolecular Networks (PDGMN) was proposed. Firstly, the sample-specific multiplex network, which contains protein-protein interaction layer and gene-gene association layer, was constructed based on gene expression data. Subsequently, somatic mutation data was integrated to weight the nodes in the sample-specific multiplex network. Finally, a weighted minimum vertex cover set identification algorithm was designed to find the optimal set of driver nodes, facilitating the identification of personalized cancer driver genes. ResultsThe results derived from three TCGA cancer datasets indicate that PDGMN outperforms other existing methods in identifying personalized cancer driver genes, and it can effectively identify the rare driver genes in individual patients. Particularly, the experimental results indicate that PDGMN can capture the unique characteristics of different biomolecular networks to improve cancer driver gene identification. ConclusionPDGMN can effectively identify personalized cancer driver genes and broaden our understanding of cancer driver gene identification from a multiplex network perspective. The source code and datasets used in this work are available at https://github.com/NWPU-903PR/PDGMN.

Clinical application of thromboelastography in the prevention of lower extremity intermuscular venous thrombosis after knee arthroscopy / 中国输血杂志

【Objective】 To explore the guiding value of thromboelastography (TEG) in the formulation of personalized anticoagulation regimen after knee arthroscopy. 【Methods】 A total of 50 patients who underwent knee arthroscopy in our hospital from April to August 2023 were randomly divided into two groups. Twenty-seven patients with routine anticoagulation were selected as the control group, and 23 patients with personalized anticoagulation were selected as the experimental group. Conventional anticoagulation was a prophylactic dose of low molecular weight heparin calcium (LMWHC) selected according to body weight, once a day to 7 days after surgery. Personalized anticoagulation was performed according to the prophylactic dose of LMWHC until postoperative day 3. On postoperative day 3, LMWHC was changed to aspirin according to the TEG return index (MA>70 mm, α Angle >72°, K value <1 min), and the initial prophylactic dose was 100 mg/d. LMWHC was changed to rivaroxaban when R<5 min, and the prophylactic dose was 10 mg/d until postoperative day 7. Patients with hypocoagulation or subcutaneous ecchymosis stopped the drug first, and if it was further aggravated, component blood transfusion was performed according to the TEG results. The difference of Caprini score in perioperative period, the correlation between TEG and CCT on postoperative day 1, and the accuracy of predicting thrombosis on postoperative day 7 were compared between the two groups using the receiver operating characteristic curve (ROC). 【Results】 There was a significant difference in Caprini score between the two groups at 7 days after operation (P<0.05), suggesting that the adjustment of anticoagulant drugs in the experimental group was effective at 3 days after operation. Pearson correlation evaluation showed that there was a strong positive correlation between maximum coagulation intensity (MA) in TEG and platelet (Plt) in CCT at day 1 after surgery (P<0.05). Thrombosis was found in the control group at 7 days after operation, all of which were CMVT and disappeared after therapeutic antithrombotic therapy. MA was included in the ROC curve for model analysis. The area under the ROC curve (AUC) of the control group was 0.819, and the AUC of the experimental group was 0.508. It was found that the control group model had higher accuracy in predicting the formation of CMVT. 【Conclusion】 Individualized anticoagulation under TEG monitoring can effectively reduce the occurrence of CMVT after knee arthroscopy, which has guiding value for anticoagulation and thrombosis prevention.

Establishing equivalent model to verify the precision of personalized bone model rapidly / 中国组织工程研究

BACKGROUND:Currently,the verification of the precision of personalized bone models is usually performed by methods such as paired t-tests or intraclass correlation coefficient,but such methods often require the production of large batches of models,which do not satisfy the need for immediate use of personalized models. OBJECTIVE:To study the feasibility of establishing the equivalent model to verify the precision of the personalized bone model rapidly. METHODS:Bone CT images of three adults were randomly obtained for reconstruction.3D printing was used to create personalized bone models,and then the personalized bone models were scanned using CT and reconstructed.Mimics was used to compare the reconstructed models of bone CT images with the bone CT images.Geomagic Studio was used to analyze the fitting deviation between the reconstruction model of personalized bone model CT image and the reconstruction model of skeletal CT image.The 3D-printed personalized bone model was measured against the measurement positions and dimensions marked on the reconstruction model of skeletal CT image,and the error was calculated. RESULTS AND CONCLUSION:(1)By comparing the reconstructed bone CT image model with the bone CT scan image,the two were compatible in terms of anatomical structure and morphology,and the contours almost overlapped.(2)By fitting bias analysis,the standard bias was 0.176,0.226,and 0.143 mm in order,and all the results were<0.25 mm.(3)By measuring and calculating the model,the mean relative errors were 0.44%,0.21%,and 0.13%,and all the results were within 5%error.(4)The constructed equivalent model was in line with the basic conditions for making personalized bone models.The established equivalent model met the clinical needs and design requirements,and it was feasible to use the method of the equivalent model to verify the precision of the personalized bone model quickly.(5)This method could provide a targeted and rapid way to verify the precision of personalized bone models.It could achieve the goal of providing immediate clinical use without the need to produce large batches of models compared to conventional methods such as paired t-tests or intraclass correlation coefficient.

Research,development and advance in precise screening of lung cancer drugs with tumor organoids / 中国组织工程研究

BACKGROUND:Lung cancer is one of the most common malignant tumors with the worst prognosis worldwide.Its incidence rate and mortality rate have long been among the top of malignant tumors.The heterogeneity and drug resistance are among the reasons contributing to its poor prognosis.Lung cancer organoid,which is a 3D in vitro model cultured from patient-derived tumor cells recapitulating the biological characteristics of the primary tumor,can be used for various researches of lung cancer. OBJECTIVE:To review the application and research progress of lung cancer organoids in chemotherapy,targeted therapy,and immunotherapy drug sensitivity screening,analyze its limitations,aiming to provide new strategies for personalized and precision medicine of lung cancer. METHODS:The first author searched relevant articles published from 2013 to 2023 in CNKI and PubMed in July 2023.The search terms were"organoid,lung cancer organoid,lung cancer experimental model,precision medicine,drug sensitivity test,chemotherapy,targeted therapy,immunotherapy"in Chinese and English.Finally,a total of 84 articles were incorporated. RESULTS AND CONCLUSION:(1)Compared with traditional lung cancer research models,which can only demonstrate two-dimensional cell activities,lack cell-to-cell interactions,and suffer from species differences,lung cancer organoids offer a diverse cell source and continuously optimized culture conditions.They can simulate cellular interactions in a three-dimensional context while retaining the biological characteristics of the original tumor.These organoids represent a promising research model with significant potential,providing a solid foundation for their use in cancer drug screening.(2)Lung cancer organoids have shown preliminary significance in guiding anticancer drug selection.Their predictive outcomes align closely with actual clinical outcomes,marking a pivotal step towards precision in lung cancer treatment.By assessing the efficacy of common chemotherapy,targeted therapy,and immunotherapy drugs,these organoids enable the customization of individualized treatment strategies,reducing unnecessary drug trials and toxic and side reaction while exploring possible alternative drugs or combination regimens for drug resistance issues so as to guide the precision treatment of rare mutated lung cancer and fill the clinical gap.A more comprehensive drug evaluation is provided by comparing the activity of different drugs.Additionally,it is essential to consider the internal heterogeneity of organoids,emphasizing the importance of multiple sampling to enhance result accuracy.(3)Lung cancer organoids have limitations in practical applications such as inconsistent success rates and purity in cultivation and the lack of vascular tissue.To address these shortcomings,improvements are needed in cultivation conditions,expedited testing processes,and the development of multi-organ systems to simulate the overall effects of drugs in multiple organs.These enhancements will contribute to a more accurate assessment of drug efficacy and toxicity,thereby enhancing the precision of lung cancer treatment.

Is ankle taping effective to limit the ankle dorsiflexion in a single-training session? An observational study in semi-professional basketball players

ABSTRACT BACKGROUND: Ankle taping (AT) is effective in preventing ankle sprain injuries in most common sports and is employed in rehabilitation and prevention sports. OBJECTIVE: This study aimed to investigate the effectiveness of AT to restricting excessive frontal plane ankle movements in semi-professional basketball players throughout the training session. DESIGN AND SETTING: A cross-sectional study was performed at the Universidad Europea de Madrid. METHODS: Forty male and female semi-professional basketball players were divided into two groups. The ankle dorsiflexion range of motion (ROM) and interlimb asymmetries in a weight-bearing lunge position were evaluated at four time points: 1) with no tape, 2) before practice, at 30 min of practice, and 3) immediately after practice. RESULTS: In male basketball players, no differences were observed in the right and left ankles between the baseline and 30 min and between baseline and 90 min of assessment. In female athletes, significant differences were reported between baseline and pre-training assessments for the right ankle and also significant differences between baseline and 90 min in both ankles. CONCLUSIONS: Ankle taping effectively decreased the ankle dorsiflexion ROM in male and female basketball players immediately after application. However, ROM restriction was very low after 30 and 90 min, as assessed in a single basketball practice. Therefore, the classic taping method should be revised to develop new prophylactic approaches, such as the implementation of semi-rigid bracing techniques or the addition of active stripes during training or game pauses.

Is Generative Artificial Intelligence the Next Step Toward a Personalized Hemodialysis?

ABSTRACT Artificial intelligence (AI) generative models driven by the integration of AI and natural language processing technologies, such as OpenAI's chatbot generative pre-trained transformer large language model (LLM), are receiving much public attention and have the potential to transform personalized medicine. Dialysis patients are highly dependent on technology and their treatment generates a challenging large volume of data that has to be analyzed for knowledge extraction. We argue that, by integrating the data acquired from hemodialysis treatments with the powerful conversational capabilities of LLMs, nephrologists could personalize treatments adapted to patients' lifestyles and preferences. We also argue that this new conversational AI integrated with a personalized patient-computer interface will enhance patients' engagement and self-care by providing them with a more personalized experience. However, generative AI models require continuous and accurate updates of data, and expert supervision and must address potential biases and limitations. Dialysis patients can also benefit from other new emerging technologies such as Digital Twins with which patients' care can also be addressed from a personalized medicine perspective. In this paper, we will revise LLMs potential strengths in terms of their contribution to personalized medicine, and, in particular, their potential impact, and limitations in nephrology. Nephrologists' collaboration with AI academia and companies, to develop algorithms and models that are more transparent, understandable, and trustworthy, will be crucial for the next generation of dialysis patients. The combination of technology, patient-specific data, and AI should contribute to create a more personalized and interactive dialysis process, improving patients' quality of life.

Uso de PCR digital para definir terapéuticas específicas y seguimiento en enfermedades autoinflamatorias / Use of digital PCR to define specific therapeutics and follow-up in autoinflammatory diseases

Las enfermedades autoinflamatorias (AIDs) son un grupo heterogéneo de desórdenes monogénicos o poligénicos, con características de disregulación inmune innata y/o adaptativa, cuyo mecanismo central es la autoinflamación pero también pueden presentarse con autoinmunidad e inmunodeficiencia. En estos últimos años el desarrollo de las tecnologías de secuenciación masiva han provocado una explosión en el descubrimiento de nuevos genes responsables de AIDs monogénicas. Esto remarca la importancia de implementar este tipo de estudios para llegar a un diagnóstico definitivo sobre todo en este grupo de patologías genéticamente muy diversas donde los fenotipos clínicos se solapan. Sin embargo, dada la presencia de variantes de significación incierta (VUS), los resultados pueden no ser concluyentes planteándose la necesidad de desarrollar pruebas funcionales para determinar la patogenicidad de dichas variantes genéticas. En nuestro grupo de trabajo estamos aplicando la PCR digital en gotas (ddPCR), una técnica cuantitativa de 3era generación altamente sensible, especifica y reproducible que no necesita de curvas de calibración, para desarrollar pruebas funcionales que permitan no sólo reclasificar variantes VUS para lograr diagnósticos definitivos sino también estudiar los mecanismos responsables de las principales AIDs que permitan una estratificación de las terapéuticas especificas a aplicar y de esta manera poder contribuir al diagnóstico, tratamiento y seguimiento de nuestros pacientes en forma personalizada. (AU)

Autoinflammatory diseases (AIDs) are a heterogeneous group of monogenic or polygenic disorders, with characteristics of inborn and/or adaptive immune dysregulation, whose central mechanism is autoinflammation but may also present with autoimmunity and immunodeficiency. In recent years the development of massive sequencing technologies has led to an exponential increase in the discovery of new genes responsible for monogenic AIDs. This emphasizes the importance of the implementation of this type of studies to make a definitive diagnosis, especially in this group of genetically very diverse diseases with overlapping clinical phenotypes. However, given the presence of variants of uncertain significance (VUS), the results may not be conclusive, raising the need to develop functional tests to determine the pathogenicity of these genetic variants. In our working group we are applying droplet digital PCR (ddPCR), a highly sensitive, specific and reproducible third generation quantitative technique that does not require calibration curves, to develop functional tests that allow not only to reclassify VUS variants to achieve definitive diagnoses but also to study the mechanisms responsible for the main AIDs that allow for the stratification of specific treatments to be used and thereby contribute to the individualized diagnosis, treatment, and follow-up of our patients (AU)

Current situation and prospect of 3D printing technology in pharmaceutical preparations / 中国药科大学学报

@#With the rapid advancement of science and technology, the application of 3D printing technology for personalized drug manufacturing is becoming increasingly sophisticated.Compared to traditional manufacturing technology, 3D printing can easily customize preparations with specific sizes, shapes and release behaviors for personalized drug use.This review summarizes the principles of several 3D printing technologies commonly used in drug manufacturing, lists the unique advantages and application examples of 3D printing technology for pharmaceutical preparation, analyses the current research status and development trends of the global industry of drug 3D printing, and summarizes the current problems and challenges facing drug 3D printing, aiming to provide some guidance for researchers of 3D printed drugs.

Diagnosis and Treatment Reasoning of Integrated Traditional Chinese and Western Medicine Against Acute Abdomen Based on Knowledge Graph / 中国实验方剂学杂志

ObjectiveIn view of the standardization of clinical diagnosis and treatment of the acute abdomen and the inheritance of diagnosis and treatment experience of prestigious veteran traditional Chinese medicine（TCM） doctors， a diagnosis and treatment reasoning algorithm based on association rule mining under incomplete evidence（AMIE）+ random walk was proposed to provide information services and technical support for primary doctors by recommending personalized diagnosis and treatment plans based on medical records. MethodThe experience of diagnosis and treatment of acute abdomen of prestigious veteran TCM doctors and the text data of clinical diagnosis and treatment guidelines of integrated TCM and western medicine were collected to complete the task of knowledge extraction and construct acute abdomen knowledge graph based on Neo4j. On the basis of ontology-supported rule-based reasoning， the rule reasoning based on similar syndromes was used to expand the syndrome combinations whose Jaccard similarity was greater than the threshold in the syndrome recommendation results. The semantic path coverage algorithm was used to calculate the semantic similarity between the symptom nodes. The symptom nodes were divided into 10 categories， and the symptom nodes in the same category were extended. The random walk algorithm was used to search the symptom nodes connected with the syndrome， and the connection rules between the syndrome and symptom nodes were extended to realize the knowledge reasoning of AMIE+ random walk. ResultThe acute abdomen knowledge graph included 1 320 nodes and 2 464 relationships. According to the link prediction evaluation index of knowledge reasoning， the reasoning results of the three algorithms in the auxiliary diagnosis and treatment of acute abdomen were compared. The AMIE+ random walk algorithm complemented the knowledge graph by extending the similar syndrome connection rules and the syndrome-symptom connection rules. Compared with the knowledge reasoning algorithm based on ontology rules， the area under the curve （AUC） was 15.18% higher and the accuracy was 30.36% higher， which achieved more accurate and effective knowledge inference. ConclusionThis study used knowledge graph technology to visualize the diagnosis and treatment of acute abdomen with TCM and western medicine， assisting primary clinicians in intuitively viewing the diagnosis and treatment process and data relationship. The proposed diagnosis and treatment reasoning algorithm can realize the personalized diagnosis and treatment plan recommendation at the level of "disease-syndrome-diagnosis-treatment-prescription"， which can assist primary doctors in disease diagnosis and treatment and clinical decision-making， contribute to the knowledge sharing and application of diagnosis and treatment experience and clinical guidelines of prestigious veteran TCM doctors， improve the level of primary clinical diagnosis and treatment， and promote the normalization and standardization of the diagnosis and treatment process of acute abdomen with integrated TCM and western medicine.

Analysis of personalized precision diagnosis of 156 children with suspected rare inherited metabolic diseases / 中国热带医学

@#Abstract: Objective　To explore the accurate diagnosis of children with suspected rare inherited metabolic diseases, and to compare the application value of mass spectrometry and genetic testing in the diagnosis of rare inherited metabolic diseases (IMD). Methods　The clinical information, mass spectrometry, and genetic results of children with suspected rare inherited metabolic diseases admitted to the Department of Pediatrics, the Affiliated Haikou Hospital of Xiangya Medical College, Central South University from March 2017 to December 2021 were analyzed retrospectively. Results　156 children with suspected rare inherited metabolic diseases were detected by mass spectrometry, 67 cases were positive and 89 cases were negative. Children with positive initial examination were retested, and 19 cases were positive. Among the retest positive cases, 13 cases were given genetic testing, and 9 cases were positive and 4 cases were negative. Among the initial negative cases, 54 children with poor therapeutic effect and high clinical suspicion of inherited metabolic diseases completed genetic testing, 15 cases were positive and 39 cases were negative. The results of the two detection methods were compared, the positive rate of mass spectrometry was 19.4%(13/67), and the positive rate of genetic testing was 35.8%(24/67). The continuity correction of Pearson's chi-square test of continuity correction suggested that the results of genetic testing and mass spectrometry were different, and the difference was statistically significant (P<0.05). Taking genetic testing as the gold standard, the sensitivity and specificity of mass spectrometry detection were 37.5% (95%CI:19.6%-59.2%) and 90.7% (95%CI:76.9%-97.0%), respectively. Among the 24 confirmed cases, 5 cases were diagnosed by gene panel and 19 cases were diagnosed by whole exome sequencing (WES). One case diagnosed by WES had no pathogenic mutation detected by gene panel before diagnosis. The detection of DNM1L gene c.1040C>G and AMN gene c.651+1G>C are novel pathogenic gene variants, which have clinical significance. Conclusions　The ability of mass spectrometry in the diagnosis of inherited metabolic diseases is limited. Genetic testing, especially whole exome sequencing, can be the first choice for individualized diagnosis of suspected rare inherited metabolic diseases. In addition, the new mutation sites found by WES in this study enriched the pathogenic gene mutation spectrum and provided direction for further functional biological experiments.

Classification optimization of traditional Chinese medicine materials based on additive physical properties of powder / 中国中药杂志

According to the method of predicting the physical properties of oily powder based on the additive physical properties of Chinese medicinal powder, Dioscoreae Rhizoma and calcined Ostreae Concha with high sieve rate and good fluidity were mixed and crushed with Persicae Semen, Platycladi Semen, Raphani Semen, Ziziphi Spinosae Semen, and other typical oily materials with high fatty oil content in proportion to obtain 23 mixed powders. Fifteen physical properties such as bulk density, water absorption, and maximum torque force were measured, and the physical properties of typical oily powders were predicted. When the mixing and grinding ratio was in the range of 5∶1-1∶1, the r value in the correlation equation between the weighted average score of the mixed powder and the powder proportion ranged from 0.801 to 0.986, and the linearity was good, indicating that the method of predicting the physical properties of oily powder based on the additive physical properties of traditional Chinese medicine(TCM)powder was feasible. The results of cluster analysis showed that the classification boundaries of the five kinds of TCM materials were clear, and the similarity of the physical fingerprints of powdery and oily materials decreased from 80.6% to 37.2%, which solved the problem of fuzzy classification boundaries of powdery and oily materials due to the lack of representativeness of oily material model drugs. The classification of TCM materials was optimized, laying a foundation for optimizing the prediction model of the prescription of personalized water-paste pills.

Effectiveness of anterior cruciate ligament reconstruction with personalized femoral locator based on apex of deep cartilage / 中国修复重建外科杂志

OBJECTIVE@#To investigate the effectiveness of anterior cruciate ligament (ACL) reconstruction assisted by personalized femoral locator based on the apex of deep cartilage (ADC) combined with patient imaging data.@*METHODS@#Between January 2021 and January 2022, a total of 40 patients with primary ACL rupture were selected and randomly divided into study group (ACL reconstruction assisted by personalized femoral locator based on ADC) and control group (ACL reconstruction assisted by intraoperative fluoroscopy and traditional femoral locator), with 20 cases in each group. There was no significant difference in gender, age, body mass index, affected side, cause of injury, and preoperative International Knee Documentation Committee (IKDC) score, Lyshlom score, and Tegner score between the two groups ( P>0.05). IKDC score, Lyshlom score, and Tegner score were used to evaluate the functional recovery of the affected knee before operation and at 3, 6, and 12 months after operation. CT scan and three-dimensional reconstruction were performed before and after operation to measure the horizontal distance from ADC to the anterior cartilage margin (L) and the horizontal distance from ADC to the center of the femoral canal (I), and the anteroposterior position of the bone canal (R) was calculated by I/L; the distance from the center to the distal cartilage margin (D) was measured on the two-dimensional cross section; the R value and D value were compared between the two groups.@*RESULTS@#The operation time of the study group was significantly less than that of the control group [ MD=-6.90 (-8.78, -5.03), P<0.001]. The incisions of the two groups healed by first intention, and no complication such as intra-articular infection, nerve injury, and deep vein thrombosis of lower limbs occurred. There was no significant difference in the R value and D value between the preoperative simulated positioning and the actual intraoperative positioning in the study group [ MD=0.52 (-2.85, 3.88), P=0.758; MD=0.36 (-0.39, 1.11), P=0.351]. There was no significant difference in the actual intraoperative positioning R value and D value between the study group and the control group [ MD=1.01 (-2.57, 4.58), P=0.573; MD=0.24 (-0.34, 0.82), P=0.411]. The patients in both groups were followed up 12-13 months (mean, 12.4 months). The IKDC score, Lysholm score, and Tegner score of the two groups increased gradually with time, and there were significant differences between pre- and post-operation ( P<0.05). There was no significant difference in the scores between the two groups at each time point after operation ( P>0.05).@*CONCLUSION@#The personalized femoral locator based on ADC can accurately assist the femoral tunnel positioning in ACL reconstruction, which can shorten the operation time when compared with traditional surgical methods, and achieve satisfactory early effectiveness.

Introduction and Discussion of IMDRF Personalized Medical Device Regulatory Pathways / 中国医疗器械杂志

OBJECTIVE@#To interpret the key contents of the guidance of Personalized Medical Device Regulatory Pathways issued by the IMDRF, and provide reference for the improvement of China's medical device regulatory system.@*METHODS@#The regulatory requirements of personalized medical devices and point-of-care manufacture of medical device were described respectively, and the feasibility of implementing the regulation of point-of-care manufacture of medical device in China was analyzed.@*RESULTS@#The different regulatory pathways of medical devices produced at point-of-care are feasible and have different regulatory risks.@*CONCLUSIONS@#In combination with the recommendations provided by the IMDRF guidance and the clinical and regulatory realities in China, we should accelerate the improvement of the regulations and supporting documents for point-of-care manufacture of medical device in China.

Application of 3D printing technology in the precise functional reconstruction of jaws / 口腔疾病防治

@#With the development of computer-aided surgery and rapid prototyping via 3D printing technology, digital surgery has rapidly advanced in clinical practice, especially in the field of oral and maxillofacial surgery. 3D printing technology has been applied to the functional restoration and reconstruction of the jawbone. Before surgery, a 3D digital model is constructed through software to plan the scope of the osteotomy, shape the bone graft and plan the placement of the implant. Additionally, 3D models of personalized surgical instrument guides are printed prior to surgery. With these 3D-printed models and guides, accurate excision of the jaw tumor, accurate placement of the grafted bone and precise placement of implants can be achieved during surgery. Postoperative evaluation of accuracy and function shows that 3D printing technology can aid in achieving the biomechanical goals of simultaneous implant placement in jaw reconstruction, and in combination with dental implant restoration, the technology can improve patients' postoperative occlusal and masticatory functions. Nevertheless, 3D printing technology still has limitations, such as time-consuming preparation before surgery. In the future, further development of 3D printing technology, optimization of surgical plans, and alternative biological materials are needed. Based on domestic and foreign literature and our research results, we have reviewed the process and clinical application prospects of jaw reconstruction via 3D printing technology to provide a reference for oral and maxillofacial surgeons.

Reform and Prospect of Systemic Therapy on HER2-positive Early-stage Breast Cancer / 肿瘤防治研究

In the past two decades, the survival of HER2-positive early-stage breast cancer patients has significantly improved with the development of HER2-targeted therapies. The focus has been placed on maximizing the clinical benefit of HER2-positive early-stage breast cancer by optimizing the treatment frameworks and therapeutic strategies in this field. In this paper, several important clinical studies of HER2-positive early-stage breast cancer in the neoadjuvant or adjuvant settings will be summarized and analyzed to provide clues for the development of personalized treatment strategies in the future.

Pharmacogenetic testing improves treatment responses in patients with PLA2R-related membranous nephropathy / 南方医科大学学报

OBJECTIVE@#To evaluate the value of pharmacogenetic testing for improving the efficacy and safety of treatment with cyclosporine, tacrolimus, and cyclophosphamide (CTX) for PLA2R-related membranous nephropathy and for determing individualized and precise treatment plans for the patients.@*METHODS@#A total of 63 patients with PLA2R-related membranous nephropathy hospitalized in the Department of Nephrology at our hospital from January, 2019 to October, 2021 were enrolled in this study. Thirty-three of the patients underwent pharmacogenetic testing before taking the immunosuppressive drugs selected based on the results of genetic screening for sensitive targets, and the other 30 patients were empirically given immunosuppressive drugs according to the guidelines (control group). The clinical efficacy and adverse effects of the immunosuppressive drugs were analyzed for all the patients. The two groups of patients were compared for demographic and biochemical parameters including 24-h urine protein, serum albumin, renal function, and serum anti-phospholipase A2 receptor antibody both before and at 3 months after the beginning of the treatment.@*RESULTS@#Among the 33 patients undergoing pharmacogenetic testing, 51.5% showed a GG genotype for cyclosporine, and 61.6% had an AG genotype for tacrolimus; for CTX, 51.5% of the patients showed a homozygous deletion and 63.6% had an AA genotype. After treatment for 3 months, serum anti-phospholipase A2 receptor antibody, 24-h urine protein, and serum albumin levels were significantly improved in pharmacogenetic testing group as compared with the control group (P < 0.05).@*CONCLUSION@#Individualized and precise administration of immunosuppressive drugs based on pharmacogenetic testing better controls proteinuria and serum antiphospholipase A2 receptor antibodies and increases serum albumin level in patients with PLA2R-related membranous nephropathy.

Research progress of mechanical power in ventilator-induced lung injury / 国际生物医学工程杂志

ICU acute respiratory distress syndrome has a high morbidity and mortality rate, and these patients usually need mechanical ventilation to maintain their respiratory function during treatment. However, improper setting of mechanical ventilation parameters may lead to ventilator-induced lung injury (VILI). In order to effectively prevent the occurrence of VILI, ARDSnet recommends the use of a protective ventilation strategy with low tidal volume and limited airway plateau pressure. However, from the perspective of ventilator energy transfer, VILI is actually the result of a combination of respiratory parameters such as tidal volume, airway pressure, and respiratory rate. The mechanical power well reflects the combined effect of the above parameters and is increasingly becoming a hot topic in clinical research. In this review paper, the definitions of mechanical energy and mechanical power were introduced, and the calculation methods of mechanical power under different respiratory modes are summarized. Moreover, the clinical studies related to mechanical power and VILI and further exploration of the safety threshold of mechanical power are reviewed. It is expected to provide new ideas for the future clinical development of personalized mechanical ventilation strategies and the effective prevention of VILI.