Mass spectrometry imaging （MSI） is an emerging molecular imaging technique that combines high spatial resolution and the ability to acquire molecular information. This technology can directly obtain spatial distribution maps of metabolites, proteins, lipids and other molecules in tumor tissues, reveal the abnormal molecular changes during the occurrence and development of liver cancer, and make up for the deficiency of information at the molecular level in traditional imaging （such as CT, MRI）. In liver cancer research, MSI has demonstrated unique advantages and application potential in early diagnosis and screening, precise classification, tumor heterogeneity analysis, and exploration of molecular mechanisms. The principle characteristics of MSI technology and its latest progress in the early diagnosis, classification and molecular mechanism research of liver cancer were reviewed, and the current challenges and future development directions were discussed, which aimed to provide a new perspective and theoretical basis for an in-depth understanding of the pathological mechanism of liver cancer and promoted its precise diagnosis and treatment.

OBJECTIVE To evaluate the long-term efficacy of intra-articular injection of hyaluronic acid （HA）， platelet-rich plasma （PRP）， and micro-fragmented adipose tissue （MFAT） in treatment of knee osteoarthritis （KOA）. METHODS Randomized controlled trials （RCTs） of KOA patients receiving intra-articular injection of the three agents were collected from PubMed， Web of Science， Embase， Cochrane Library， CNKI， Wanfang Data， VIP， Chinese Biomedical Literature Service System，and clinical trial registration platforms. The retrieval time limit was from January 2016 to December 2025. After screening the literature， extracting the data，and evaluating the quality of the literature， network meta-analysis was performed using RevMan 5.3 and Stata MP 16.0 software. RESULTS A total of 31 RCTs involving 2 964 patients were included. For pain relief， after 6 months of treatment， the Visual Analogue Scale （VAS） scores in the PRP+HA and PRP groups were significantly lower than those in the saline and HA groups （ P ＜0.05）， PRP+HA and PRP were ranked as the top two by surface under the cumulative ranking curve （SUCRA）. After 12 months of treatment， the VAS scores in the PRP group were significantly lower than those in the HA and saline groups （ P ＜0.05）， PRP and PRP+HA were ranked as the top two by SUCRA. For functional recovery， after 6 months of treatment， the Western Ontario and McMaster Universities Osteoarthritis Index （WOMAC） scores in the PRP group were significantly lower than those in the HA or saline groups （ P ＜0.05）. After 12 months of treatment， the WOMAC scores in the MFAT， PRP and PRP+HA groups were significantly lower than those in the HA or saline groups （ P ＜0.05）. After 6 and 12 months of treatment， International Knee Documentation Committee （IKDC） scores in the MFAT and PRP groups were significantly higher than the saline group （ P ＜0.05）， and after 12 months of treatment， the PRP group was significantly higher than the HA group （ P ＜0.05）. MFAT and PRP were ranked as the top two by SUCRA for both the WOMAC and IKDC scores. CONCLUSIONS For pain relief， PRP+HA showed a significant advantage at 6 months after treatment， whereas PRP alone demonstrated a notable superiority at 12 months after treatment. For functional recovery， MFAT exhibited a marked advantage at both 6 and 12 months after treatment.

Objective:To analyze the electroencephalogram(EEG) average relative power spectrum in patients with unipolar and bipolar depression under the eyes-open and eyes-closed resting states.Methods:A total of 38 patients with unipolar depression (UD group), 48 patients with bipolar depression (BD group), and 43 healthy controls (HC group) were recruited from August 2022 to December 2023.The 64-channel EEG was recorded under eyes-open (EO) and eyes-closed (EC) resting states which alternated twice. The Mann-Whitney U test and Kruskal-Wallis H test were performed by SPSS 25.0 software. Results:There were no significant differences in the average relative power of delta and beta bands among the UD, BD and HC groups in all EO and EC states (all P>0.05). The average relative power of theta band in the three groups showed statistically significant differences in all EO and EC states ( H=7.852-12.583, all P<0.05). Further pairwise comparisons showed that in the first EO and EC stage, the average relative power of theta band of the UD and BD groups were significantly higher than that of the HC group (EO1: 0.18(0.17, 0.21), 0.19(0.16, 0.21), 0.16(0.14, 0.18), EC1: 0.15(0.13, 0.21), 0.15(0.13, 0.20), 0.13(0.10, 0.16); all P<0.05).In the second EO and EC stage, the average relative power of theta band of the BD group was significantly higher than that of the HC group (EO2: 0.18(0.15, 0.22), 0.16(0.14, 0.18), EC2: 0.15(0.13, 0.19), 0.13(0.11, 0.16); both P<0.05).There were statistically significant differences in the average relative power of alpha band among the three groups in the first EO and EC stage, as well as the second EC stage ( H=5.027-10.668, all P<0.05). Further pairwise comparisons showed that in the first EO stage, the average relative power of alpha band in the BD group was significantly higher than that in the UD group (0.20(0.16, 0.25), 0.14(0.11, 0.22), P=0.003), and in the following EC stages, the average relative power of alpha band in the UD group was significantly lower than that in the HC group (EC1: 0.40(0.33, 0.46), 0.51(0.40, 0.58), EC2: 0.41(0.35, 0.50), 0.48(0.43, 0.58); both P<0.05). Conclusion:At the initial stage of the resting state, both unipolar and bipolar depression patients demonstrate abnormal theta band activity under the eyes-open and eyes-closed states, while the alpha band activity under the eyes-open condition differs between the two groups of patients. These findings may provide potentially objective biomarkers to assist the diagnosis of unipolar and bipolar depression patients in clinical settings.

Transarterial radioembolization (TARE) is a widely utilized therapeutic approach for hepatocellular carcinoma (HCC), however, the clinical implementation is constrained by the stringent preparation conditions of radioembolization agents. Herein, we incorporated the superstable homogeneous iodinated formulation technology (SHIFT), simultaneously utilizing an enhanced solvent form in a carbon dioxide supercritical fluid environment, to encapsulate radionuclides (such as ¹³¹I,¹⁷⁷Lu, or ¹⁸F) with lipiodol for the preparation of radiolipiodol. The resulting radiolipiodol exhibited exceptional stability and ultra-high labeling efficiency (≥99%) and displayed notable intratumoral radionuclide retention and in vivo stability more than 2 weeks following locoregional injection in subcutaneous tumors in mice and orthotopic liver tumors in rats and rabbits. Given these encouraging findings, ¹⁸F was authorized as a radiotracer in radiolipiodol for clinical trials in HCC patients, and showed a favorable tumor accumulation, with a tumor-to-liver uptake ratio of ≥50 and minimal radionuclide leakage, confirming the feasibility of SHIFT for TARE applications. In the context of transforming from preclinical to clinical screening, the preparation of radiolipiodol by SHIFT represents an innovative physical strategy for radionuclide encapsulation. Hence, this work offers a reliable and efficient approach for TARE in HCC, showing considerable promise for clinical application (ChiCTR2400087731).

Depression is increasingly prevalent among adolescents and can profoundly impact their lives. However, the early detection of depression is often hindered by the time-consuming diagnostic process and the absence of objective biomarkers. In this study, we propose a novel approach for depression detection based on an affective brain-computer interface (aBCI) and the resting-state electroencephalogram (EEG). By fusing EEG features associated with both emotional and resting states, our method captures comprehensive depression-related information. The final depression detection model, derived through decision fusion with multiple independent models, further enhances detection efficacy. Our experiments involved 40 adolescents with depression and 40 matched controls. The proposed model achieved an accuracy of 86.54% on cross-validation and 88.20% on the independent test set, demonstrating the efficiency of multimodal fusion. In addition, further analysis revealed distinct brain activity patterns between the two groups across different modalities. These findings hold promise for new directions in depression detection and intervention.
Humans ; Male ; Female ; Adolescent ; Case-Control Studies ; Depression/diagnosis* ; Early Diagnosis ; Rest ; Electroencephalography/methods* ; Brain-Computer Interfaces ; Models, Psychological ; Reproducibility of Results ; Affect/physiology* ; Photic Stimulation/methods* ; Video Recording ; Brain/physiopathology*

Objective:To develop and validate a risk prediction model for hospital discharge readiness in patients undergoing surgery for Stanford type B aortic dissection (TBAD) .Methods:A total of 130 patients who underwent TBAD surgery at Taizhou Hospital of Zhejiang Province between January 2020 and September 2024 were recruited by convenience sampling and divided into a training set ( n=91) and a validation set ( n=39) at a 7∶3 ratio. Readiness for hospital discharge was assessed using the Chinese version of the Readiness for Hospital Discharge Scale, and patients were categorized into good and poor readiness groups. Univariate analysis was used to compare demographic and disease-related data as well as admission Aortic Dissection Detection Risk Score (ADD-RS) between groups. Logistic regression was employed to identify factors influencing discharge readiness. A nomogram was developed using R software, and its predictive performance was evaluated with receiver operating characteristic (ROC) curves. Calibration curves and decision curve analysis (DCA) were further used to assess the accuracy and clinical utility of the model. Results:Logistic regression identified feedback-based health education, number of hospitalizations, ADD-RS score, emergency surgery, and length of hospital stay as independent predictors of discharge readiness. ROC curve analysis showed that the area under the curve ( AUC) for predicting poor discharge readiness was 0.91 [95% CI (0.85, 0.97) ] in the training set and 0.84 [95% CI (0.80, 0.99) ] in the validation set. Calibration curves and the Hosmer-Lemeshow test confirmed good calibration in both sets ( P>0.05). DCA demonstrated significant net clinical benefit when the high-risk threshold exceeded 0.02, although the benefit decreased as the threshold approached 0.80. Conclusions:The risk prediction model developed in this study effectively predicts poor discharge readiness in patients after TBAD surgery, showing good discrimination and calibration. The identified risk factors provide targeted directions for clinical interventions, which may help improve patients' readiness for discharge.

In 2025,the Response Assessment in Neuro-Oncology(RANO)working group and the European Association for Neuro-Oncology jointly released the updated guidelines for the clinical use of PET imaging in gliomas.Building upon the methodological framework established in the 2024 PET RANO 1.0 criteria,the new guidelines systematically integrate clinical evidence for amino acid PET and achieve alignment with MRI RANO 2.0 in imaging assessment logic,marking a paradigm shift of amino acid PET from a research tool to a clinical decision-making tool.This article provides a comprehensive analysis of key updates in the guidelines and evaluates the application value and recommendation levels of amino acid PET across critical clinical scenarios.Furthermore,it emphasizes the advantages of integrated PET/MR imaging in multimodal information integration for glioma management.

Objective:To analyze the electroencephalogram(EEG) average relative power spectrum in patients with unipolar and bipolar depression under the eyes-open and eyes-closed resting states.Methods:A total of 38 patients with unipolar depression (UD group), 48 patients with bipolar depression (BD group), and 43 healthy controls (HC group) were recruited from August 2022 to December 2023.The 64-channel EEG was recorded under eyes-open (EO) and eyes-closed (EC) resting states which alternated twice. The Mann-Whitney U test and Kruskal-Wallis H test were performed by SPSS 25.0 software. Results:There were no significant differences in the average relative power of delta and beta bands among the UD, BD and HC groups in all EO and EC states (all P>0.05). The average relative power of theta band in the three groups showed statistically significant differences in all EO and EC states ( H=7.852-12.583, all P<0.05). Further pairwise comparisons showed that in the first EO and EC stage, the average relative power of theta band of the UD and BD groups were significantly higher than that of the HC group (EO1: 0.18(0.17, 0.21), 0.19(0.16, 0.21), 0.16(0.14, 0.18), EC1: 0.15(0.13, 0.21), 0.15(0.13, 0.20), 0.13(0.10, 0.16); all P<0.05).In the second EO and EC stage, the average relative power of theta band of the BD group was significantly higher than that of the HC group (EO2: 0.18(0.15, 0.22), 0.16(0.14, 0.18), EC2: 0.15(0.13, 0.19), 0.13(0.11, 0.16); both P<0.05).There were statistically significant differences in the average relative power of alpha band among the three groups in the first EO and EC stage, as well as the second EC stage ( H=5.027-10.668, all P<0.05). Further pairwise comparisons showed that in the first EO stage, the average relative power of alpha band in the BD group was significantly higher than that in the UD group (0.20(0.16, 0.25), 0.14(0.11, 0.22), P=0.003), and in the following EC stages, the average relative power of alpha band in the UD group was significantly lower than that in the HC group (EC1: 0.40(0.33, 0.46), 0.51(0.40, 0.58), EC2: 0.41(0.35, 0.50), 0.48(0.43, 0.58); both P<0.05). Conclusion:At the initial stage of the resting state, both unipolar and bipolar depression patients demonstrate abnormal theta band activity under the eyes-open and eyes-closed states, while the alpha band activity under the eyes-open condition differs between the two groups of patients. These findings may provide potentially objective biomarkers to assist the diagnosis of unipolar and bipolar depression patients in clinical settings.

Objective:To develop and validate a risk prediction model for hospital discharge readiness in patients undergoing surgery for Stanford type B aortic dissection (TBAD) .Methods:A total of 130 patients who underwent TBAD surgery at Taizhou Hospital of Zhejiang Province between January 2020 and September 2024 were recruited by convenience sampling and divided into a training set ( n=91) and a validation set ( n=39) at a 7∶3 ratio. Readiness for hospital discharge was assessed using the Chinese version of the Readiness for Hospital Discharge Scale, and patients were categorized into good and poor readiness groups. Univariate analysis was used to compare demographic and disease-related data as well as admission Aortic Dissection Detection Risk Score (ADD-RS) between groups. Logistic regression was employed to identify factors influencing discharge readiness. A nomogram was developed using R software, and its predictive performance was evaluated with receiver operating characteristic (ROC) curves. Calibration curves and decision curve analysis (DCA) were further used to assess the accuracy and clinical utility of the model. Results:Logistic regression identified feedback-based health education, number of hospitalizations, ADD-RS score, emergency surgery, and length of hospital stay as independent predictors of discharge readiness. ROC curve analysis showed that the area under the curve ( AUC) for predicting poor discharge readiness was 0.91 [95% CI (0.85, 0.97) ] in the training set and 0.84 [95% CI (0.80, 0.99) ] in the validation set. Calibration curves and the Hosmer-Lemeshow test confirmed good calibration in both sets ( P>0.05). DCA demonstrated significant net clinical benefit when the high-risk threshold exceeded 0.02, although the benefit decreased as the threshold approached 0.80. Conclusions:The risk prediction model developed in this study effectively predicts poor discharge readiness in patients after TBAD surgery, showing good discrimination and calibration. The identified risk factors provide targeted directions for clinical interventions, which may help improve patients' readiness for discharge.

To summarise the nursing experience of caring for a patient with focal segmental glomerulosclerosis for kidney re-transplantation.Nursing key points:early recognition of recurrence of the original disease and rapid activation of emergency response;stabilization of cyclosporine concentration by precision management;optimizing in vitro anticoagulation regimens and vigilance for bleeding and clotting;regulate adrenocorticotropic hormone use and being alert for adverse effects;implementing the whole process of infection prevention and control to prevent infection;implementing the whole process of psychological counseling to alleviate negative emotions.After active treatment and careful care,the patient's transplanted kidney function recovered and was successfully discharged.After a follow-up for 2 months,the patient recovered well.