Objective To analyze the difference of rotator cuff muscle group fat content by MR proton density fat fraction(PDFF)tech-nology,and to explore the correlation between these variations and the severity grading of supraspinatus tendon injury.Methods Ninety-three patients with supraspinatus tendon injury were retrospectively selected and divided into the tendinitis group(grade Ⅰ),the partial tear group(grade Ⅱ),and the complete tear group(grade Ⅲ).The fat fraction(FF)values of the three groups of rotator cuff mus-cle group were measured using the PDFF technology,and the differences in FF values among the rotator cuff muscle group in the three groups were compared.The risk factors of the grading of supraspinatus tendon injury and the correlation between FF values and the severity grading of supraspinatus tendon injury were analyzed.Results The differences in the FF values of the supraspinatus and infraspinatus muscles among the three groups were statistically significant(P＜0.01).The FF values of both the supraspinatus and infraspinatus muscles were identified as significant factors associated with the severity grading of supraspinatus tendon injury.Further-more,the FF values of the supraspinatus and infraspinatus muscles were positively correlated with the severity grading of supraspina-tus tendon injury(r=0.576,P＜0.01;r=0.510,P＜0.01).Conclusion MR PDFF technology can effectively evaluate the extent of fat infiltration in the rotator cuff muscle group after supraspinatus tendon injury.Specifically,the FF values of the supraspinatus and infraspinatus muscles serve as reliable quantitative indicators for classifying supraspinatus tendon injury.

Objective:To explore the current status of self-disgust in female breast cancer patients and analyze its influencing factors, so as to provide reference for clinical intervention.Methods:Convenience sampling was used to select 283 female breast cancer patients who were hospitalized in Guangdong Provincial Hospital of Chinese Medicine from June to July 2024 for the study. A questionnaire survey was conducted using the General Information Questionnaire, Questionnaire for the Assessment of Self-Disgust (QASD), Family Avoidance of Communication about Cancer Scale, Body Image Scale, and the Chinese version of the Female Self-Advocacy in Cancer Survivorship. Factors influencing patients' self-disgust were analyzed using one-way analysis of variance and multiple linear regression.Results:The total score of QASD in female breast cancer patients was (33.77±7.64). Education level, sexual dysfunction after breast cancer, family avoidance of communication about cancer, body image and self-advocacy were influencing factors of self-disgust in female breast cancer patients ( P<0.05) . Conclusions:Self-disgust of female patients with breast cancer is at a medium to high level. It is recommended that nurses pay attention to the psychological status of patients with low level of education and sexual dysfunction after the disease, implement targeted psychological interventions to improve the family avoidance of communication about cancer and body image, and increase the awareness of self-advocacy, thus reducing the risk of self-disgust in female breast cancer patients.

Objective:To explore the current status of self-disgust in female breast cancer patients and analyze its influencing factors, so as to provide reference for clinical intervention.Methods:Convenience sampling was used to select 283 female breast cancer patients who were hospitalized in Guangdong Provincial Hospital of Chinese Medicine from June to July 2024 for the study. A questionnaire survey was conducted using the General Information Questionnaire, Questionnaire for the Assessment of Self-Disgust (QASD), Family Avoidance of Communication about Cancer Scale, Body Image Scale, and the Chinese version of the Female Self-Advocacy in Cancer Survivorship. Factors influencing patients' self-disgust were analyzed using one-way analysis of variance and multiple linear regression.Results:The total score of QASD in female breast cancer patients was (33.77±7.64). Education level, sexual dysfunction after breast cancer, family avoidance of communication about cancer, body image and self-advocacy were influencing factors of self-disgust in female breast cancer patients ( P<0.05) . Conclusions:Self-disgust of female patients with breast cancer is at a medium to high level. It is recommended that nurses pay attention to the psychological status of patients with low level of education and sexual dysfunction after the disease, implement targeted psychological interventions to improve the family avoidance of communication about cancer and body image, and increase the awareness of self-advocacy, thus reducing the risk of self-disgust in female breast cancer patients.

Objective To analyze the characteristics of MR amide proton transfer(APT)imaging and enhancement signals in benign and malignant muscular soft tissue tumors and to explore the value of MR APT imaging,contrast enhancement techniques,and their combined application in the differential diagnosis of benign and malignant muscular soft tissue tumors.Methods A retrospective analysis was conducted on 34 patients with muscular soft tissue tumors confirmed by pathology,including 13 malignant and 21 benign.All patients underwent both MR with contrast enhancement and APT imaging examinations before surgery.APT values were obtained through post-processing on an image workstation.The enhancement signal characteristics and APT values were compared between benign and malignant muscular soft tissue tumors.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficacy of the two techniques alone and in combination for differentiating between benign and malignant muscular soft tissue tumors.Results There were significant differences in enhancement signal characteristics on MR and APT values between benign and malignant muscular soft tissue tumors(P<0.05).The enhancement signal of malignant tumors was more heterogeneous,with higher enhancement degree than benign tumors;the APT value of benign tumors was(2.20±0.93)%,and the APT value of malignant tumors was(3.52±0.83)%,the ROC curve analysis determined a cutoff APT value of 2.82%for malignant tumors,with a diagnostic specificity of 90.5%and sensitivity of 76.9%.The area under the curve(AUC)for MR with contrast enhancement,APT imaging,and the combination of the two techniques were 0.694,0.857 and 0.894,respectively.No significant differences were found in the diagnostic efficacy between MR with contrast enhancement and APT imaging(Z=1.587,P=0.112 6)or between APT imaging and the combination of the two tech-niques(Z=1.217,P=0.223 4),but there was significant difference between MR with contrast enhancement and the combination of the two techniques(Z=2.428,P=0.015 2).Moreover,the combination of the two techniques showed the overall highest diag-nostic efficacy.Conclusion The combined application of MR APT imaging and contrast enhancement techniques is more beneficial for the qualitative diagnosis of muscular soft tissue tumors.

OBJECTIVES: To explore the effects of cannabidiol on endoplasmic reticulum stress and neuronal apoptosis in rats with multiple concussions (MCC). METHODS: SD rats were randomized into sham group, MCC group, 1% tween20 (TW) treatment group, and low-dose (10 mg/kg) and high-dose (40 mg/kg) cannabidiol treatment groups. In all but the sham group, MCC models were established using a metal pendulum percussion device, after which the rats received daily intraperitoneal injections of the corresponding agents for 2 weeks. The expressions of PERK, eIF2α, ATF4, CHOP, TRIB3, p-Akt and pro-caspase-3 in the brain tissue of the rats were detected with qRT-PCR, Western blotting and immunofluorescence staining. The core targets of cannabidiol in treatment of traumatic brain injury (TBI) were identified by network pharmacology analysis, and molecular docking was carried out to simulate the interaction of cannabidiol with the factors related to endoplasmic reticulum stress and apoptosis. RESULTS: Compared with the sham-operated rats, the rat models of MCC showed significantly increased mRNA expressions of PERK, eIF2α and CHOP and protein expressions of PERK, eIF2α, ATF4, CHOP, TRIB3, p-AKT and pro-caspase-3 in the cerebral cortex. CBD treatment, especially at the high dose, obviously increased the expression of p-Akt and lowered the expression levels of the other factors tested in the rat models. Network pharmacology analysis indicated interactions of the core targets of CBD with the factors related to endoplasmic reticulum stress and TBI, and molecular docking study showed a high binding energy of CBD with multiple factors pertaining to endoplasmic reticulum stress and apoptosis. CONCLUSIONS MCC induce endoplasmic reticulum stress and apoptosis in rat brain tissues, for which CBD, especially at a high dose, provides neuroprotective effects by inhibiting endoplasmic reticulum stress and cell apoptosis.
Animals ; Endoplasmic Reticulum Stress/drug effects* ; Apoptosis/drug effects* ; Rats, Sprague-Dawley ; Activating Transcription Factor 4/metabolism* ; Transcription Factor CHOP/metabolism* ; Rats ; Eukaryotic Initiation Factor-2/metabolism* ; Signal Transduction/drug effects* ; eIF-2 Kinase/metabolism* ; Cannabidiol/pharmacology* ; Neurons/metabolism* ; Brain Concussion/metabolism* ; Male ; Molecular Docking Simulation

Objective To explore the ability of different regions of interest(ROI)location settings for the detection of bronchial artery and pulmonary vascular lesions in children with hemoptysis via computed tomography angiography(CTA)examination.Methods The hemoptysis group(79 cases)who underwent chest CTA examination and the control group(79 cases)with negative CTA results were retrospectively selected.The ROI of the hemoptysis group were placed in the pulmonary trunk,left ventricle,ascending aorta and descending aorta,which were defined as groups 1,2,3 and 4 respectively.Clinical data(age,sex)and CT parameters,including bronchial artery diameter,ascending aorta CT value,pulmonary artery CT value,△CTA-PA,bronchial artery image score,pulmonary artery image score,were recorded and analyzed,respectively.Results There was a statistically significant difference in the diameter of the left and right bronchial arteries between the hemoptysis group and the control group(P＜0.05).In the hemoptysis group,there were statistically significant differences in the image scores of the left and right bronchial arteries,pulmonary artery image scores,and△CTA-PA among the four subgroups(P＜0.05).According to post-hoc comparison results,there was a statistically significant difference in the overall mean scores of the right bronchial artery image score(x2=11.333,P＜0.05)and left bronchial artery image score(x2=8.111,P＜0.05)between groups 2 and 3.Conclusion When ROI is placed in the ascending aorta,bronchial artery lesions and pulmonary vascular lesions can be detected simultaneously in CTA examination,which is helpful for the diagnosis of hemoptysis vascular etiology in children.

Objective To analyze the characteristics of MR amide proton transfer(APT)imaging and enhancement signals in benign and malignant muscular soft tissue tumors and to explore the value of MR APT imaging,contrast enhancement techniques,and their combined application in the differential diagnosis of benign and malignant muscular soft tissue tumors.Methods A retrospective analysis was conducted on 34 patients with muscular soft tissue tumors confirmed by pathology,including 13 malignant and 21 benign.All patients underwent both MR with contrast enhancement and APT imaging examinations before surgery.APT values were obtained through post-processing on an image workstation.The enhancement signal characteristics and APT values were compared between benign and malignant muscular soft tissue tumors.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficacy of the two techniques alone and in combination for differentiating between benign and malignant muscular soft tissue tumors.Results There were significant differences in enhancement signal characteristics on MR and APT values between benign and malignant muscular soft tissue tumors(P<0.05).The enhancement signal of malignant tumors was more heterogeneous,with higher enhancement degree than benign tumors;the APT value of benign tumors was(2.20±0.93)%,and the APT value of malignant tumors was(3.52±0.83)%,the ROC curve analysis determined a cutoff APT value of 2.82%for malignant tumors,with a diagnostic specificity of 90.5%and sensitivity of 76.9%.The area under the curve(AUC)for MR with contrast enhancement,APT imaging,and the combination of the two techniques were 0.694,0.857 and 0.894,respectively.No significant differences were found in the diagnostic efficacy between MR with contrast enhancement and APT imaging(Z=1.587,P=0.112 6)or between APT imaging and the combination of the two tech-niques(Z=1.217,P=0.223 4),but there was significant difference between MR with contrast enhancement and the combination of the two techniques(Z=2.428,P=0.015 2).Moreover,the combination of the two techniques showed the overall highest diag-nostic efficacy.Conclusion The combined application of MR APT imaging and contrast enhancement techniques is more beneficial for the qualitative diagnosis of muscular soft tissue tumors.

Objective To analyze the difference of rotator cuff muscle group fat content by MR proton density fat fraction(PDFF)tech-nology,and to explore the correlation between these variations and the severity grading of supraspinatus tendon injury.Methods Ninety-three patients with supraspinatus tendon injury were retrospectively selected and divided into the tendinitis group(grade Ⅰ),the partial tear group(grade Ⅱ),and the complete tear group(grade Ⅲ).The fat fraction(FF)values of the three groups of rotator cuff mus-cle group were measured using the PDFF technology,and the differences in FF values among the rotator cuff muscle group in the three groups were compared.The risk factors of the grading of supraspinatus tendon injury and the correlation between FF values and the severity grading of supraspinatus tendon injury were analyzed.Results The differences in the FF values of the supraspinatus and infraspinatus muscles among the three groups were statistically significant(P＜0.01).The FF values of both the supraspinatus and infraspinatus muscles were identified as significant factors associated with the severity grading of supraspinatus tendon injury.Further-more,the FF values of the supraspinatus and infraspinatus muscles were positively correlated with the severity grading of supraspina-tus tendon injury(r=0.576,P＜0.01;r=0.510,P＜0.01).Conclusion MR PDFF technology can effectively evaluate the extent of fat infiltration in the rotator cuff muscle group after supraspinatus tendon injury.Specifically,the FF values of the supraspinatus and infraspinatus muscles serve as reliable quantitative indicators for classifying supraspinatus tendon injury.

Objective To explore the ability of different regions of interest(ROI)location settings for the detection of bronchial artery and pulmonary vascular lesions in children with hemoptysis via computed tomography angiography(CTA)examination.Methods The hemoptysis group(79 cases)who underwent chest CTA examination and the control group(79 cases)with negative CTA results were retrospectively selected.The ROI of the hemoptysis group were placed in the pulmonary trunk,left ventricle,ascending aorta and descending aorta,which were defined as groups 1,2,3 and 4 respectively.Clinical data(age,sex)and CT parameters,including bronchial artery diameter,ascending aorta CT value,pulmonary artery CT value,△CTA-PA,bronchial artery image score,pulmonary artery image score,were recorded and analyzed,respectively.Results There was a statistically significant difference in the diameter of the left and right bronchial arteries between the hemoptysis group and the control group(P＜0.05).In the hemoptysis group,there were statistically significant differences in the image scores of the left and right bronchial arteries,pulmonary artery image scores,and△CTA-PA among the four subgroups(P＜0.05).According to post-hoc comparison results,there was a statistically significant difference in the overall mean scores of the right bronchial artery image score(x2=11.333,P＜0.05)and left bronchial artery image score(x2=8.111,P＜0.05)between groups 2 and 3.Conclusion When ROI is placed in the ascending aorta,bronchial artery lesions and pulmonary vascular lesions can be detected simultaneously in CTA examination,which is helpful for the diagnosis of hemoptysis vascular etiology in children.

Objective:To explore the value of machine-learning models based on magnetic resonance imaging(MRI)radiomics features for the preoperative prediction of the blood supply in pituitary neuroendocrine tumors.Methods:A retrospective analysis was performed on the clinical and imaging data of 136 patients with pathologically confirmed pituitary neuroendocrine tumors(diameter>10 mm)from April 2013 to April 2023 at Yi Jishan Hospital of Wannan Medical College.Based on the intraoperative findings,the patients were assigned into richly vascularized(n=50)and normally vascularized(n=86)groups.All patients were allocated randomly in a 7:3 ratio into a training(n=96)or a validation group(n=40).Three machine-learning algorithms,multivariate Logistic regression(LR),random forest(RF),and support vec-tor machine(SVM),were used to establish radiomics prediction models.Receiver operating characteristic(ROC)curves were plotted to eval-uate the diagnostic performance of the models;decision curve analysis(DCA)was used to assess the net clinical benefit of the models.Res-ults:The clinical model achieved areas under the ROC curve(AUC)of 0.74 and 0.82 in the training and validation groups,respectively.The radiomics models using T1-weighted imaging(WI),T2WI,T1WI-enhanced,and combined sequences achieved AUCs of 0.80,0.84,0.82,and 0.84 in the training group and 0.82,0.80,0.85,and 0.83 in the validation group,respectively.The LR,RF,and SVM models had AUCs of 0.85,0.87,and 0.84 in the training group and 0.85,0.85,and 0.83 in the validation group,respectively.All radiomics models demonstrated great-er diagnostic efficacy than the clinical model.DCA indicated that the LR,SVM,and combined-sequence models achieved good net clinical be-nefits;the LR model showed the best results.Conclusions:Machine-learning models based on MRI radiomics exhibit high predictive value,surpassing the clinical judgment of radiologists based on MRI images alone,and offer a favorable net clinical benefit.