Cancer patients often experience worsening pain due to the limitations of traditional pharmacological treatments. This paper explores the innovative application of multi-agent systems in this field. As a key component of artificial intelligence, multi-agent systems assist healthcare providers in making intelligent decisions and interventions based on patients' conditions, and can collaborate with other smart devices to provide personalized care. This review discusses the concept of multi-agent systems, their application in pain management, and the potential challenges and countermeasures, aiming to provide guidance for the intelligent management of cancer patient pain.

Cancer patients often experience worsening pain due to the limitations of traditional pharmacological treatments. This paper explores the innovative application of multi-agent systems in this field. As a key component of artificial intelligence, multi-agent systems assist healthcare providers in making intelligent decisions and interventions based on patients' conditions, and can collaborate with other smart devices to provide personalized care. This review discusses the concept of multi-agent systems, their application in pain management, and the potential challenges and countermeasures, aiming to provide guidance for the intelligent management of cancer patient pain.

Objective:To compare the diagnostic efficacy of ultrasound and MRI in fibro-adipose vascular anomaly (FAVA).Methods:The clinical data of patients with suspected FAVA who underwent ultrasound and MRI examinations at Henan Provincial People’s Hospital from January 2011 to October 2021 were retrospectively analyzed. The imaging findings from ultrasound and MRI were analyzed, and then compared with the pathological findings. To evaluate the diagnostic efficacy of ultrasound and MRI in diagnosing FAVA by assessing sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate. Paired χ2 test (McNemar test) was used to compare the coincidence rate of ultrasound and MRI, as well as their combined diagnosis. A significance level of P < 0.05 was considered statistically significant. Results:A total of 50 patients were included in the study, comprising 24 males and 26 females, with their ages ranging from 1 to 50 years and an average age of (16.2 ± 10.5) years. Pathology confirmed 43 FAVA patients and 7 non-FAVA patients. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of ultrasound in the diagnosis of FAVA were 83.7%, 71.4%, 94.7%, 41.7%, and 82.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of MRI in the diagnosis of FAVA were 69.8%, 85.7%, 96.8%, 31.6%, and 72.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of FAVA were 90.7%, 71.4%, 95.1%, 55.6%, and 88.0%, respectively. The diagnostic accuracy of ultrasound was higher than that of MRI, but the difference was not statistically significant ( χ2 = 1.41, P = 0.235). The coincidence rate of combined diagnosis was higher than that of ultrasound ( χ2= 0.71, P = 0.401) and MRI ( χ2= 4.00, P = 0.039), with a statistically significant difference. Conclusion:Both ultrasound and MRI are highly valuable in diagnosing FAVA. The combined usage of ultrasound and MRI can enhance the accuracy of preoperative FAVA diagnosis.

Objective:To compare the diagnostic efficacy of ultrasound and MRI in fibro-adipose vascular anomaly (FAVA).Methods:The clinical data of patients with suspected FAVA who underwent ultrasound and MRI examinations at Henan Provincial People’s Hospital from January 2011 to October 2021 were retrospectively analyzed. The imaging findings from ultrasound and MRI were analyzed, and then compared with the pathological findings. To evaluate the diagnostic efficacy of ultrasound and MRI in diagnosing FAVA by assessing sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate. Paired χ2 test (McNemar test) was used to compare the coincidence rate of ultrasound and MRI, as well as their combined diagnosis. A significance level of P < 0.05 was considered statistically significant. Results:A total of 50 patients were included in the study, comprising 24 males and 26 females, with their ages ranging from 1 to 50 years and an average age of (16.2 ± 10.5) years. Pathology confirmed 43 FAVA patients and 7 non-FAVA patients. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of ultrasound in the diagnosis of FAVA were 83.7%, 71.4%, 94.7%, 41.7%, and 82.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of MRI in the diagnosis of FAVA were 69.8%, 85.7%, 96.8%, 31.6%, and 72.0%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of FAVA were 90.7%, 71.4%, 95.1%, 55.6%, and 88.0%, respectively. The diagnostic accuracy of ultrasound was higher than that of MRI, but the difference was not statistically significant ( χ2 = 1.41, P = 0.235). The coincidence rate of combined diagnosis was higher than that of ultrasound ( χ2= 0.71, P = 0.401) and MRI ( χ2= 4.00, P = 0.039), with a statistically significant difference. Conclusion:Both ultrasound and MRI are highly valuable in diagnosing FAVA. The combined usage of ultrasound and MRI can enhance the accuracy of preoperative FAVA diagnosis.

Objective:To evaluate the long-term efficacy of percutaneous microwave ablation (MWA) therapy for hepatocellular carcinoma.Methods:2054 cases with Barcelona Clinic Liver Cancer (BCLC) stage 0~B at the Fifth Medical Center of the Chinese People's Liberation Army General Hospital from January 2006 to September 2020 were retrospectively collected. All patients were followed up for at least 2 years. The primary endpoint of overall survival and secondary endpoints (tumor-related survival, disease-free survival, and postoperative complications) of patients treated with ultrasound-guided percutaneous MWA were analyzed. Kaplan-Meier method was used for stratified survival rate analysis. Fine-and-Gray competing risk model was used to analyze overall survival.Results:A total of 5 503 HCC nodules [mean tumor diameter (2.6±1.6) cm] underwent 3 908 MWAs between January 2006 and September 2020, with a median follow-up time of 45.6 (24.0 -79.2) months.The technical effectiveness rate of 5 375 tumor nodules was 97.5%. The overall survival rates at 5, 10, and 15-years were 61.6%, 38.8%, and 27.0%, respectively. The tumor-specific survival rates were 67.1%, 47.2%, and 37.7%, respectively. The free tumor survival rates were 25.8%, 15.7%, and 9.9%, respectively. The incidence rate of severe complications was 2.8% (108/3 908). Further analysis showed that the technical effectiveness and survival rate over the passing three time periods from January 2006-2010, 2011-2015, and 2016-September 2020 were significantly increased, with P ?

The difference between sleep and wakefulness is critical for human health. Sleep takes up one third of our lives and remains one of the most mysterious conditions; it plays an important role in memory consolidation and health restoration. Distinct neural behaviors take place under awake and asleep conditions, according to neuroimaging studies. While disordered transitions between wakefulness and sleep accompany brain disease, further investigation of their specific characteristics is required. In this study, the difference is objectively quantified by means of network controllability. We propose a new pipeline using a public intracranial stereo-electroencephalography (stereo-EEG) dataset to unravel differences in the two conditions in terms of system neuroscience. Because intracranial stereo-EEG records neural oscillations covering large-scale cerebral areas, it offers the highest temporal resolution for recording neural behaviors. After EEG preprocessing, the EEG signals are band-passed into sub-slow (0.1‍-‍1 Hz), delta (1‍-‍4 Hz), theta (4‍-‍8 Hz), alpha (8‍-‍13 Hz), beta (13‍-‍30 Hz), and gamma (30‍-‍45 Hz) band oscillations. Then, dynamic functional connectivity is extracted from time-windowed EEG neural oscillations through phase-locking value (PLV) and non-overlapping sliding time windows. Next, average and modal network controllability are implemented on these time-varying brain networks. Based on this preliminary study, it appears that significant differences exist in the dorsolateral frontal-parietal network (FPN), salience network (SN), and default-mode network (DMN). The combination of network controllability and dynamic functional networks offers new insight for characterizing distinctions between awake and asleep stages in the brain. In other words, network controllability captures the underlying brain dynamics under both awake and asleep conditions.
Humans ; Wakefulness ; Electroencephalography/methods* ; Brain Mapping/methods* ; Brain

Objective:To investigate the MRI features of fibro-adipose vascular anomaly (FAVA).Methods:The clinical, pathological and MRI data of the FAVA patients confirmed clinically and pathologically in Henan Provincial People’s Hospital from January 2016 to June 2021 were retrospectively analyzed, including 17 females and 13 males, aged 4-53 (18.5±12.8) years.Through the analysis of the MRI images of FAVA performance, including the lesion area, shape, signal, the degree of reinforcement, inner structure, outer structure and other image characteristics, summarize the MRI features.Results:The lesions located at the lower leg (12 cases), thigh (12 cases), upper arm (4 cases), forearm (1 case) and trunk (1 case). Twenty-four case of lower limbs. All cases involved the muscular layer, including 21 cases of superficial muscle layer, 7 cases of deep muscle layer, and 2 cases of both. Twenty-three cases of superficial muscle layer. Most of the affected muscles were quadriceps femoris and gastrocnemius. Morphology: all lesions were intramuscular solid masses growing parallel to the long axis of the muscle. There were 11 cases of focal type, 11 cases of locally infiltrating type, and 8 cases of diffuse type. MRI findings: all lesions showed mixed signal. On T1WI, 28 cases showed cloud-like, band-like and patchy high signal on the background of medium and high signal. On T2WI-FS, all the 30 cases showed low to medium signal areas on the background of high signal, which were dendrimer, ribbon and cloud-like. The lesions showed moderate to obvious heterogeneous progressive enhancement. Twenty-seven lesions had different shapes of vascular shadow, and 28 lesions had drainage vein shadow adjacent to the lesions, 24 of which were located at the proximal end of the lesions. Fascial tail sign was found at the periphery of the lesions in 26 cases, of which 23 cases were located at the upper and lower ends of the lesions.Conclusion:FAVA is a complex vascular malformation with unclear pathological classification. MRI usually shows a solid mass in the superficial muscle layer of the lower limbs parallel to the long axis of the muscle, with cloud-like, band-like, and patchy hyperintensity on the background of high signal on T1WI, and dendritic, band-like, and cloud-like hypointensity on the background of high signal on T2WI-FS, which is helpful for the diagnosis of FAVA. Combined with the data of fascial tail sign, draining vein and clinical manifestations, the diagnosis of FAVA can be confirmed to a certain extent, which can provide reference and basis for clinical decision making.

Objective:To investigate the MRI features of fibro-adipose vascular anomaly (FAVA).Methods:The clinical, pathological and MRI data of the FAVA patients confirmed clinically and pathologically in Henan Provincial People’s Hospital from January 2016 to June 2021 were retrospectively analyzed, including 17 females and 13 males, aged 4-53 (18.5±12.8) years.Through the analysis of the MRI images of FAVA performance, including the lesion area, shape, signal, the degree of reinforcement, inner structure, outer structure and other image characteristics, summarize the MRI features.Results:The lesions located at the lower leg (12 cases), thigh (12 cases), upper arm (4 cases), forearm (1 case) and trunk (1 case). Twenty-four case of lower limbs. All cases involved the muscular layer, including 21 cases of superficial muscle layer, 7 cases of deep muscle layer, and 2 cases of both. Twenty-three cases of superficial muscle layer. Most of the affected muscles were quadriceps femoris and gastrocnemius. Morphology: all lesions were intramuscular solid masses growing parallel to the long axis of the muscle. There were 11 cases of focal type, 11 cases of locally infiltrating type, and 8 cases of diffuse type. MRI findings: all lesions showed mixed signal. On T1WI, 28 cases showed cloud-like, band-like and patchy high signal on the background of medium and high signal. On T2WI-FS, all the 30 cases showed low to medium signal areas on the background of high signal, which were dendrimer, ribbon and cloud-like. The lesions showed moderate to obvious heterogeneous progressive enhancement. Twenty-seven lesions had different shapes of vascular shadow, and 28 lesions had drainage vein shadow adjacent to the lesions, 24 of which were located at the proximal end of the lesions. Fascial tail sign was found at the periphery of the lesions in 26 cases, of which 23 cases were located at the upper and lower ends of the lesions.Conclusion:FAVA is a complex vascular malformation with unclear pathological classification. MRI usually shows a solid mass in the superficial muscle layer of the lower limbs parallel to the long axis of the muscle, with cloud-like, band-like, and patchy hyperintensity on the background of high signal on T1WI, and dendritic, band-like, and cloud-like hypointensity on the background of high signal on T2WI-FS, which is helpful for the diagnosis of FAVA. Combined with the data of fascial tail sign, draining vein and clinical manifestations, the diagnosis of FAVA can be confirmed to a certain extent, which can provide reference and basis for clinical decision making.

Objective:To investigate the differential performance of ultrasound between fibro-adipose vascular anomaly (FAVA) and venous malformations(VMs).Methods:From January 2015 to December 2020, the patients diagnosed with lower extremity FAVA by pathology in Henan Provincial People’s Hospital were enrolled as FAVA group. The patients diagnosed with lower extremity VMs by pathology were enrolled as the control group. The clinical and ultrasound imaging data were retrospectively analyzed. Through the single factor analysis of the two groups’data, the ultrasonic imaging indicators which may be valuable for distinguishing FAVA from VMs were screened. Further, the indicators valuable for differential diagnosis were determined by multi-factor Logistic regression analysis, and a multi-factor joint diagnosis model was constructed. The diagnostic efficiency of the joint diagnosis model was evaluated by the receiver operator characteristic curve (ROC curve), sensitivity, and specificity of the subjects.Results:A total of 20 patients with FAVA were involved, including 11 males and 9 females. The mean age was (18.1±12.2) years. Forty-six patients with VMs were involved, including 20 males and 26 females. The mean age was (19.9±13.6) years. Results of the single-factor analysis were differences in the lesion echo, fascial tail, blood flow, extrusion test, and posterior echo enhance characteristics between groups ( P<0.05). Multivariate analysis showed significant differences between groups in three aspects: fascial tail, extrusion test, and posterior echo enhancement ( P=0.001, 0.008, 0.007). The sensitivity and specificity of the multi-factor combined diagnosis model were 90.0% (95% CI: 68.3%-98.8%) and 93.5%(95% CI: 82.1%-98.6%), indicating high diagnostic efficiency. The ROC(AUC) area was 0.964(95% CI: 0.886-0.994), indicating high diagnostic efficiency. Conclusions:The ultrasonic imaging features of FAVA and VMs were different. The combined diagnosis of the fascial tail, compression test, and posterior echo enhancement has a higher auxiliary diagnostic value.

Objective:To investigate the differential performance of ultrasound between fibro-adipose vascular anomaly (FAVA) and venous malformations(VMs).Methods:From January 2015 to December 2020, the patients diagnosed with lower extremity FAVA by pathology in Henan Provincial People’s Hospital were enrolled as FAVA group. The patients diagnosed with lower extremity VMs by pathology were enrolled as the control group. The clinical and ultrasound imaging data were retrospectively analyzed. Through the single factor analysis of the two groups’data, the ultrasonic imaging indicators which may be valuable for distinguishing FAVA from VMs were screened. Further, the indicators valuable for differential diagnosis were determined by multi-factor Logistic regression analysis, and a multi-factor joint diagnosis model was constructed. The diagnostic efficiency of the joint diagnosis model was evaluated by the receiver operator characteristic curve (ROC curve), sensitivity, and specificity of the subjects.Results:A total of 20 patients with FAVA were involved, including 11 males and 9 females. The mean age was (18.1±12.2) years. Forty-six patients with VMs were involved, including 20 males and 26 females. The mean age was (19.9±13.6) years. Results of the single-factor analysis were differences in the lesion echo, fascial tail, blood flow, extrusion test, and posterior echo enhance characteristics between groups ( P<0.05). Multivariate analysis showed significant differences between groups in three aspects: fascial tail, extrusion test, and posterior echo enhancement ( P=0.001, 0.008, 0.007). The sensitivity and specificity of the multi-factor combined diagnosis model were 90.0% (95% CI: 68.3%-98.8%) and 93.5%(95% CI: 82.1%-98.6%), indicating high diagnostic efficiency. The ROC(AUC) area was 0.964(95% CI: 0.886-0.994), indicating high diagnostic efficiency. Conclusions:The ultrasonic imaging features of FAVA and VMs were different. The combined diagnosis of the fascial tail, compression test, and posterior echo enhancement has a higher auxiliary diagnostic value.