Objective: To explore the network structure of middle school students basic psychological needs and psychological behavioral problems, and identify the core nodes within the network, as well as examine demographic subgroup differences, so as to provide support for targeted mental health interventions for adolescents. Methods: In September and October of 2023, a total of 2 000 junior and senior high school students were selected with multistage cluster random sampling from 8 schools in Jiaojiang District and Tiantai County, Taizhou City. An online self administered questionnaire was used to assess emotional and behavioral problems, perceived autonomy, self awareness, loneliness, and social support. The instruments included the Strengths and Difficulties Questionnaire (SDQ), Perceived Choice and Awareness of Self Scale (PCASS), Mental Health Literacy Questionnaire (MHLQ), University of California,Los Angeles Loneliness Scale (UCLA-LS), and the Multidimensional Scale of Perceived Social Support (MSPSS). A network analysis approach was employed to construct a network representing adolescents basic psychological needs and psychological behavioral problems, focusing on centrality measures and demographic subgroup differences. Results: A total of 418 students (20.9%) reported abnormal emotional and behavioral problems. Perceived autonomy and competence were negatively correlated with emotional problems (weights: 0.12, 0.14) and hyperactivity (weights: 0.10, 0.16). Social support showed negative correlation with peer relationship issues, hyperactivity, and conduct problems (weights: 0.16, 0.13, 0.10). Loneliness was positively correlated with emotional symptoms and peer relationship problems (weights: 0.28, 0.18). In the overall network, perceived relationships (social support and loneliness), emotional symptoms, and hyperactivity emerged as central nodes. Significant differences in network structure were observed between gender subgroups ( P =0.02). Girls internalizing issues were more influenced by loneliness and perceived autonomy frustration, while social support exhibited higher centrality in boys. Conclusions Perceived relationships, emotional problems, and hyperactivity are key nodes in the network of adolescents basic psychological needs and psychological behavioral problems. Loneliness demonstrates a prominent influence within the network, and the overall network exhibits gender differences.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Bispecific antibodies （BsAbs）， as an important recent innovation in the field of tumor immunotherapy in recent years， can simultaneously or sequentially target different antigens or two different epitopes of the same antigen. Compared with traditional monoclonal antibodies， they can produce superior therapeutic effects. This article reviews the progress in clinical applications and safety research of BsAbs in cancer therapy， revealing that they （such as blinatumomab， glofitamab， teclistamab， amivantamab， etc.） exhibit significant therapeutic efficacy against hematological malignancies， lung cancer， cervical cancer， melanoma， and other cancers. For cytokine release syndrome （CRS） induced by BsAbs， prophylactic or pre-emptive medication is commonly administered in clinical practice； for neurotoxicity and infections triggered by BsAbs， clinical practice necessitates rigorous monitoring of patients’ vital signs and the provision of essential treatments. In addition， different BsAbs exhibit variations in escalation dose， infusion rate， storage duration， and equipment requirements. Therefore， strict adherence to the instructions in the drug package inserts is essential during clinical operations to ensure safety and therapeutic efficacy. In the future， more multicenter trials need to be conducted to validate the efficacy and safety of BsAbs across different tumor types and patient populations， and long-term follow-up data should be accumulated to optimize treatment cycles and dosage regimens.

OBJECTIVE: To discuss the development status of meridian diagnosis technology through the patent analysis, so as to obtain the hot spots of patents and provide the ideas for the research and development of new equipment. METHODS: The patent data of meridian diagnosis technology were searched from Chinese Think Tank of Traditional Chinese Medicine. The patent analysis and SWOT method were used to deeply explore the patent application of meridian diagnosis technology. RESULTS: Among 100 patents included, the inventions were mainly in Chinese mainland, and the invention institution was from Chengdu University of TCM. Since 2015, the number of patent application for meridian diagnosis technology was increasing, and up to a peak from 2020 to 2021. The main technological programs cover electrical, temperature and optical detection; and the application functions focus on the precise positioning of acupoints, and the diagnosis of zangfu diseases. CONCLUSION From the perspective of patents, it is suggested that the development of meridian diagnosis technology in China should pay attention to reducing the cost, improving the function, driving the standard formulation, strengthening safety measure, deepening human-machine interaction, exploring biological effect and optimizing the experimental platform. Through continuous innovation and breakthrough, the meridian diagnosis technology can be further matured and widely applied, so as to realize its comprehensive upgrade.
Meridians ; Humans ; Patents as Topic ; Medicine, Chinese Traditional/instrumentation* ; China ; Acupuncture Points

OBJECTIVE: To explore the dose-effect relationship between the number of acupuncture sessions and the efficacy for cervical vertigo (CV). METHODS: Literature regarding randomized controlled trials (RCTs) of acupuncture for CV was retrieved from CNKI, Wanfang, VIP, Web of Science, and PubMed databases from inception to June 28th, 2024. Studies were included if patients were treated solely with acupuncture and the core prescription included Baihui (GV20)-Fengchi (GB20)-neck-jiaji (EX-B2). Outcomes included the evaluation scale for cervical vertigo symptoms and function (ESCV) score and the mean blood flow velocity of vertebrobasilar arteries. The Cochrane risk of bias assessment tool 2.0 was used to evaluate study quality. Dose-effect Meta-regression analysis was performed using the robust-error Meta-regression (REMR) method in Stata 17.0 software. RESULTS: Nineteen RCTs were included with a total of 747 patients in the experimental groups. After 10 sessions of acupuncture, the ESCV score increased to 20.29 (95% CI: 16.77, 23.80), with a pre-post ESCV difference of 4.60 (95% CI: 2.59, 6.60) and an improvement rate of 0.36 (95% CI: 0.26, 0.46). After 20 sessions of acupuncture, the ESCV score increased to 21.55 (95% CI: 18.87, 24.22), with a difference of 5.42 (95% CI: 3.87, 6.97) and an improvement rate of 0.39 (95% CI: 0.31, 0.48). After 10 sessions of acupuncture, the improvement rates for left vertebral artery (LVA), right vertebral artery (RVA), and basilar artery (BA) mean blood flow velocities were 0.08 (95% CI: 0.05, 0.12), 0.09 (95% CI: 0.05, 0.12), and 0.11 (95% CI: 0.06, 0.15), respectively. After 14 sessions of acupuncture, the improvement rates reached their peaks: LVA [0.09 (95% CI: 0.06, 0.12)], RVA [0.10 (95% CI: 0.07, 0.13)], and BA [0.12 (95% CI: 0.07, 0.16)]. CONCLUSION A nonlinear dose-effect relationship existed between the number of acupuncture sessions and the efficacy for CV. Fourteen sessions were recommended as the optimal number of acupuncture treatments.
Humans ; Acupuncture Therapy ; Randomized Controlled Trials as Topic ; Vertigo/physiopathology* ; Treatment Outcome ; Acupuncture Points ; Regression Analysis ; Male ; Female