The incidence of prostate cancer ranks the second in malignant tumors among elderly males. Multi-parametric MRI (Mp-MRI) is an important mean for detection, staging, and grading of prostate cancer. In order to standardize the collection, interpretation, and reporting of prostate MRI data, the European Urogenital Radiology Society launched the Prostate Imaging Reporting and Data System (PI-RADS) in 2012. Due to some limitations in the application process, the Joint Committee of the American Society of Radiology and the European Society of Radiology issued an updated version of PI-PADS V2 in 2014. In recent years, some studies have been carried out on the effectiveness, accuracy, and consistency of the diagnosis of prostate cancer. This article will review the application and research status of PI-RADS V2 system in the diagnosis of Mp-MRI for prostate cancer.
Objective To investigate the development of biofilm research over the last 10 years in China based on a bibliometric approach. Methods We searched PubMed (1997 to 2007), China Hospital Knowledge Database (1997 to 2007), and VIP Chinese Journal Database (1997 to 2007). Quality assessment and data collection were performed by two reviewers independently. The amount of literature, research institutions, financial assistance, and contents of biofilm research were analyzed. Results A total of 240 Chinese papers were included. Colleges were the leading research institutions in China, and most of research focused on pseudomonas aeruginosa and staphylococci, primarily based on in vitro models. Available antibiotics were the main measures for biofilm control. Only 4 RCTs with a C grade in terms of methodological quality were included. Conclusion Biofilm research in China can keep pace with the international development, but its integration with engineering, material science and immunology needs to be strengthened.
Sepsis is a worldwide problem. Although there are many related researchs and animal experiments about sepsis, the mortality of sepsis is still high. In the early stage of sepsis, after the pathogenic bacteria invade the body, the immune response produced by the body promotes the synthesis and secretion of a series of cytokines. Among them, there are proinflammatory cytokines that promote inflammatory response and anti-inflammatory cytokines that inhibit inflammatory response. These cytokines interact with each other and maintain a dynamic balance in complex cell grid. This is to restore the steady state of the body after resisting and eliminating the invaders.Anti-inflammatory cytokines play an important role in it. They act on specific immune cells or immune regulatory receptors. Anti-inflammatory cytokines limit persistent or excessive inflammatory responses after killing invaders, and reduce or block pro-inflammatory cytokine activities. These anti-inflammatory cytokines also can heal body to restore the normal immune physiological level of the organism. This article will review the related research of anti-inflammatory cytokines in sepsis.
ObjectiveTo analyze the clinical effects of allograft orthotopic heart transplantation.MethodsThe clinical data of 36 patients with allograft orthotopic heart transplantation performed in the Heart Centre of Nanjing First Hospital from January 1, 2014 to January 1, 2019 were retrospectively analyzed. There were 31 males and 5 females, aged 23-65 (46.2±8.8) years. Protopathy diseases of recipients included dilated cardiomyopathy in 33 patients, end-stage coronary heart disease in 2 patients, and end-stage valvular heart disease in 1 patient. Heart transplantations were performed through double vena cava anastomosis. Immune induction during operations was treated with a combination therapy of both bariximab and methylprednisolone. Postoperatively, all patients were treated with a new triple immunosuppression protocol: FK506+cellcept+prednisone.ResultsDuring the perioperative period, 1 patient died of severe infection. For 8 patients with heart failure, after adjustment and intra-aortic balloon pump, the cardiac function of all the 8 patients improved. For 5 patients with renal failure, after continuous renal replacement therapy, the renal function of all the patients returned to normal. One patient died of graft failure after 1 year of follow-up. The follow-up time for each patient postoperatively differed from 3 to 49 months with an average time of 16±4 months while the 1-year survival rate was 97.1% (34/35). Among them, 10 patients were marginal donors, with no significant differences between conventional donors and them. Conclusion For end-stage heart diseases, heart transplantation is one of the effective treatment methods in China with fine early- and middle-term curative effects. Reasonable application of intra-aortic balloon pump, continuous renal replacement therapy and other adjuvant treatments and the new triple immunosuppression protocol can significantly improve the success rate of heart transplantation, reduce the occurrence of acute and chronic rejections. The application of marginal donors can alleviate the current situation of shortage of donors to some extent.
Objective To explore the application effect of virtual reality simulation technology (VRST) combined with problem-based learning (PBL) mode in knee arthroscopy teaching in sports medicine department. Methods A total of 76 trainees in sports medicine at Sichuan Provincial Orthopedic Hospital from June 2021 to June 2022 were retrospectively selected. According to the different teaching modes, they were divided into the research group and the control group with 38 trainees in each group. The traditional teaching mode was implemented in the control group, while VRST and PBL mode were implemented in the research group. The objective assessment results and teaching effect feedback of the two groups were compared. Results There was no statistical difference between the two groups in the average theoretical score of the trainees (91.35±1.05 vs. 90.94±1.12, P>0.05). The scores of the three manipulating parts of the research group (9.03±0.24, 9.12±0.31, and 9.24±0.27, respectively) were higher than those of the control group (8.76±0.36, 8.44±0.57, and 8.35±0.51, respectively), moreover, trainees in the research group had higher scores for study enthusiasm, teaching satisfaction, three-dimensional space sense, and virtual reality conversion degree (9.12±0.16, 9.67±0.11, 9.34±0.22, and 9.56±0.18, respectively) than those of the control group (8.89±0.27, 9.16±0.34, 8.67±0.37, and 8.42±0.23, respectively), and the differences were all statistically significant (P<0.05). Conclusion VRST combined with PBL mode could improve trainees’ ability to operate arthroscopy significantly, and stimulate trainees’ subjective learning ability to improve teaching effect.
With the increasing popularity of chest spiral CT screening, the detection rate of lung cancer in China is increasing. According to the characteristics of lung cancer in China and the progress of lung cancer researches at home and abroad, Chinese Medical Association guidelines for clinical diagnosis and treatment of lung cancer are updated once a year. It is of great guiding significance to standardize and improve the clinical diagnosis and treatment of lung cancer for thoracic surgeons. The surgical diagnosis and treatment of lung cancer in the guidelines mainly include: (1) surgical treatment of stage Ⅰ-Ⅱ non-small cell lung cancer (NSCLC); (2) surgical treatment of resectable stage Ⅲ NSCLC; (3) surgical treatment of multiple primary lung cancer; and (4) surgical treatment of locally resectable small cell lung cancer. Based on the Chinese Medical Association guidelines for clinical diagnosis and treatment of lung cancer (2019 edition), this paper interprets the hot issues related to the surgical treatment of lung cancer.
目的 总结原发性肝癌患者行肝动脉化学栓塞疗法（TACE）治疗过程中术前术后的专业性护理方法与经验。 方法 对2009年3月－2010年7月收治的78例行TACE治疗的肝癌患者术前予以心理护理，术后严密观察，并对少数患者发生的疼痛、胃肠道反应和感染等症状及时进行对症处理和护理干预。 结果 78例患者均顺利完成手术，安全渡过药物反应期，术后一般状况均得到改善，好转出院。 结论 专业性护理对减少TACE术后并发症，提高手术成功率，实现可重复性治疗，获得临床满意疗效有重要作用。
Postoperative delirium (POD) is a serious postoperative complication, which is significantly correlated with poor prognosis such as prolonged hospital stay and increased rate of readmission. POD is the result of multiple factors, and intervention targeting at its risk factors can significantly reduce the incidence of POD. At present, POD prevention tends to be multidisciplinary and cluster-oriented, aiming at forming a process-oriented, whole-perioperative assessment and intervention path. However, at present, there are few studies on POD peri-anesthetic period intervention, and there are many controversies. All guidelines and expert consensus are also blank in this part, and further studies are needed to fill the gaps. This paper discusses the current prevention strategies for POD during peri-anesthetic period, guiding future studies and further improving the intervention strategies for POD during peri- anesthetic period, so as to reduce the occurrence of POD.
Objective To investigate whether different degrees of primary varus knee affect joint function and stability in patients undergoing anterior cruciate ligament (ACL) reconstruction. Methods A clinical data of 160 patients with primary varus knee, who were admitted between January 2020 and December 2021 and met the selection criteria, was retrospectively analyzed. All patients underwent primary ACL reconstruction using autologous single-bundle hamstring tendon. Patients were divided into three groups based on the hip-knee-ankle angle (HKA): group A (64 patients with HKA 0°-3°), group B (55 patients with HKA 3°-6°), and group C (41 patients with HKA 6°-9°). Except for the significant difference in HKA among the three groups (P<0.05), baseline data such as age, gender, affected side, body mass index, interval between injury and operation, Kellgren-Lawrence grading, posterior tibial slope, proportion of combined meniscal injuries, Tegner score, Lysholm score, and International Knee Documentation Committee (IKDC) objective score, anterior drawer test, Lachman test, pivot shift test, and the results of KT1000 (side-to-side difference, SSD) showed no significant difference (P>0.05). At last follow-up, joint stability was assessed through the anterior drawer test, Lachman test, pivot shift test, and SSD; joint function was evaluated using the Tegner score, Lysholm score, and IKDC objective score. Results All incisions in the three groups healed by first intention after operation. All patients were followed up 24-31 months, with an average of 26 months; there was no significant difference in the follow-up time among the three groups (Z=0.675, P=0.714). At last follow-up, the knee stability and functional assessment indicators in each group significantly improved when compared to preoperative ones (P<0.05); there was no significant difference among the three groups (P>0.05) in terms of the anterior drawer test, Lachman test, pivot shift test, IKDC objective scores, and the changes of the Lysholm scores and Tegner scores. The Kellgren-Lawrence grading and HKA at last follow-up were consistent with preoperative results in the three groups. ConclusionVarying degrees of primary varus knee do not affect early knee joint stability and functional recovery after ACL reconstruction, and there is no significant difference in effectiveness between different degrees of varus knee.
Medical visual question answering (MVQA) plays a crucial role in the fields of computer-aided diagnosis and telemedicine. Due to the limited size and uneven annotation quality of the MVQA datasets, most existing methods rely on additional datasets for pre-training and use discriminant formulas to predict answers from a predefined set of labels. This approach makes the model prone to overfitting in low resource domains. To cope with the above problems, we propose an image-aware generative MVQA method based on image caption prompts. Firstly, we combine a dual visual feature extractor with a progressive bilinear attention interaction module to extract multi-level image features. Secondly, we propose an image caption prompt method to guide the model to better understand the image information. Finally, the image-aware generative model is used to generate answers. Experimental results show that our proposed method outperforms existing models on the MVQA task, realizing efficient visual feature extraction, as well as flexible and accurate answer outputs with small computational costs in low-resource domains. It is of great significance for achieving personalized precision medicine, reducing medical burden, and improving medical diagnosis efficiency.