Objective To observe the value of MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome(CTS).Methods A total of 126 patients with moderate CTS who underwent endoscopic release and fat-suppressed proton density weighted imaging(PDWI)before operation were retrospectively enrolled.The patients were divided into good prognosis group(n=80)and poor prognosis group(n=46)based on postoperative functional evaluation,also randomly divided into training set and validation set at a ratio of 7∶3.Volume of interest(VOI)of the median nerve was obtained through delineating ROI of the affected wrist on fat suppressed PDWI.Radiomics features were extracted,and those associated with postoperative prognosis of CTS were screened in training set.Clinical prediction model,radiomics model and combined model of these two were established,and the predictive efficacy of the models were evaluated and compared according to the area under the curve(AUC)of receiver operating characteristic(ROC)curve.Results Patients in poor prognosis group were older than in good prognosis group(P＜0.05).A clinical model was constructed based on age.The radiomics model was constructed based on 6 radiomics features associated with postoperative prognosis of CTS,with predictive efficacy(AUC=0.872)higher than that of clinical model(AUC=0.604,P＜0.05)but not significantly different with that of the combined model(AUC=0.905,P＞0.05).Conclusion MRI radiomics model could be used to effectively predict postoperative prognosis of moderate CTS.

With the rapid development of artificial intelligence （AI） technology， the ethical governance of AI has gained increasing attention. The Recommendation on the Ethics of Artificial Intelligence was issued by the United Nations Educational， Scientific and Cultural Organization in 2021， which clarified several principles for the ethical governance of AI. In the field of rehabilitation medicine， the research and application of AI technology have significantly improved patients’ quality of life and survival. However， due to the specificity of the service population in rehabilitation medicine， which is mostly for the sick， injured， disabled， and elderly， a series of complex ethical issues have also arisen. This paper analyzed in detail the ethical issues and challenges encountered in the research and application of AI technology in the field of rehabilitation medicine from various aspects， such as informed consent， security of privacy and data， patients’ physical and mental rehabilitation， compliance regulation， protection of specific groups， and promotion of equity. According to the principles of the Recommendation on the Ethics of Artificial Intelligence and others， response strategies were proposed， including multi-party collaboration and interdisciplinary cooperation， improving and refining relevant laws and regulations， strengthening ethical education across society， establishing accountability mechanisms， increasing investment， promoting equity， and other measures， to promote the healthy development of research and application of AI technology in the field of rehabilitation， as well as benefit humanity.

Objective To explore the diagnostic value of MRI radiomics analysis in mild carpal tunnel syndrome(CTS).Methods Seventy patients with mild CTS and 86 healthy volunteers who underwent wrist MRI examination were retrospectively selected.MRI fat-suppressed proton density weighted imaging(PDWI)were imported into 3D Slicer software,and the region of interest(ROI)delineation was performed by two radiologists independently.The 830 radiomics parameters were extracted,including first-order fea-tures,shape features,texture features,and wavelet-transform features.Radiomics parameter selection was performed through observer intraclass correlation coefficient(ICC),correlation analysis,and multivariate logistic regression.Five diagnostic models were estab-lished,including logistic regression,support vector machine,naive Bayes,decision tree,and random forest.Receiver operating charac-teristic(ROC)curve was used to analyze the diagnostic efficiency of the models.Results Seven radiomics features were selected for inclusion in the diagnostic models.The logistic regression model demonstrated the best performance,with an area under the curve(AUC)of 0.91[95%confidence interval(CI)0.86-0.96],a sensitivity of 88.63%,and a specificity of 89.00%in the training group.In the test group,the AUC was 0.92(95%CI 0.85-0.97),with a sensitivity of 90.48%and a specificity of 84.62%.Conclusion MRI radiomics analysis can be used to diagnose mild CTS,and the logistic regression model demonstrates superior diagnostic per-formance.

Objective·To evaluate the feasibility and diagnostic performance of diffusion-relaxation correlation spectroscopic imaging(DR-CSI)in assessing the heterogeneity of benign and malignant head and neck tumors,as well as in identifying occult lymph node metastasis(OLNM).Methods·A prospective study was conducted from January to December 2024 at Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,enrolling patients with suspected head and neck tumors who were scheduled for surgery and had a confirmed pathological diagnosis.All patients underwent preoperative routine head and neck plain and contrast-enhanced magnetic resonance imaging(MRI)examinations,including DR-CSI sequence.Conventional imaging parameters,including maximal diameter(MD),depth of invasion(DOI)for tumors,and MD and short diameter(SD)for lymph nodes,were obtained.Post-processing was performed to obtain apparent diffusion coefficient(ADC),T2 value,and D-T2 spectra for all lesions.The compartment segmentation strategy was optimized based on the spectral peak distribution characteristics of different diseases,and the volume fraction(Vi)of each compartment was obtained.Independent sample t-tests,Mann-Whitney U tests,chi-square tests,or Fisher's exact tests were used to compare intergroup differences in clinical data and imaging metrics.Principal component analysis(PCA)and Adonis analysis were employed to evaluate the discriminative ability of imaging metrics among different subtypes of benign tumors.Receiver operating characteristic(ROC)analysis was used to evaluate the ability of univariate and multivariable models to characterize the malignancy of head and neck squamous cell carcinoma(HNSCC)and identify OLNM.Results·A total of 97 cases were collected,including 28 benign tumors and 69 HNSCCs.Fifteen pathologically confirmed OLNMs and 20 benign lymph nodes(BLNs)were also enrolled.Among the 28 benign tumors,there were 6 cases of pleomorphic adenoma stroma-rich(PA stroma-rich),9 cases of pleomorphic adenoma stroma-poor(PA stroma-poor),9 cases of Warthin's tumor(WT),and 4 cases of basal cell adenoma(BCA).Statistically significant differences were observed in certain imaging parameters(ADC,T2,and DR-CSI Vi)among benign tumor subtypes.PCA analysis demonstrated a strong discriminative ability of imaging parameters in distinguishing pathological subtypes of benign tumors(R2=0.64,P<0.001).Among the 69 HNSCCs,47 were classified as Grade 1(well/moderately well-differentiated)and 22 as Grade 2(moderately/poorly differentiated).Compared to Grade 1,Grade 2 showed lower ADC and higher T2 values,though differences were not statistically significant.As HNSCC malignancy increased,VA4 decreased and VB4 increased significantly.OLNM showed a significant increase in SD and VA4 compared to BLNs.The combination of SD and VA4 for preoperative OLNM identification achieved a diagnostic efficiency of 0.843.Conclusion·DR-CSI can analyze diffusion and relaxation characteristics at the sub-voxel level,offering valuable insights for characterizing benign head and neck tumor subtypes,assessing HNSCC malignancy,and identifying OLNMs.Compared to traditional parameters like ADC or T2,DR-CSI provides enhanced tissue microstructure analysis.

Objective To explore the diagnostic value of MRI radiomics analysis in mild carpal tunnel syndrome(CTS).Methods Seventy patients with mild CTS and 86 healthy volunteers who underwent wrist MRI examination were retrospectively selected.MRI fat-suppressed proton density weighted imaging(PDWI)were imported into 3D Slicer software,and the region of interest(ROI)delineation was performed by two radiologists independently.The 830 radiomics parameters were extracted,including first-order fea-tures,shape features,texture features,and wavelet-transform features.Radiomics parameter selection was performed through observer intraclass correlation coefficient(ICC),correlation analysis,and multivariate logistic regression.Five diagnostic models were estab-lished,including logistic regression,support vector machine,naive Bayes,decision tree,and random forest.Receiver operating charac-teristic(ROC)curve was used to analyze the diagnostic efficiency of the models.Results Seven radiomics features were selected for inclusion in the diagnostic models.The logistic regression model demonstrated the best performance,with an area under the curve(AUC)of 0.91[95%confidence interval(CI)0.86-0.96],a sensitivity of 88.63%,and a specificity of 89.00%in the training group.In the test group,the AUC was 0.92(95%CI 0.85-0.97),with a sensitivity of 90.48%and a specificity of 84.62%.Conclusion MRI radiomics analysis can be used to diagnose mild CTS,and the logistic regression model demonstrates superior diagnostic per-formance.

Objective·To evaluate the feasibility and diagnostic performance of diffusion-relaxation correlation spectroscopic imaging(DR-CSI)in assessing the heterogeneity of benign and malignant head and neck tumors,as well as in identifying occult lymph node metastasis(OLNM).Methods·A prospective study was conducted from January to December 2024 at Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,enrolling patients with suspected head and neck tumors who were scheduled for surgery and had a confirmed pathological diagnosis.All patients underwent preoperative routine head and neck plain and contrast-enhanced magnetic resonance imaging(MRI)examinations,including DR-CSI sequence.Conventional imaging parameters,including maximal diameter(MD),depth of invasion(DOI)for tumors,and MD and short diameter(SD)for lymph nodes,were obtained.Post-processing was performed to obtain apparent diffusion coefficient(ADC),T2 value,and D-T2 spectra for all lesions.The compartment segmentation strategy was optimized based on the spectral peak distribution characteristics of different diseases,and the volume fraction(Vi)of each compartment was obtained.Independent sample t-tests,Mann-Whitney U tests,chi-square tests,or Fisher's exact tests were used to compare intergroup differences in clinical data and imaging metrics.Principal component analysis(PCA)and Adonis analysis were employed to evaluate the discriminative ability of imaging metrics among different subtypes of benign tumors.Receiver operating characteristic(ROC)analysis was used to evaluate the ability of univariate and multivariable models to characterize the malignancy of head and neck squamous cell carcinoma(HNSCC)and identify OLNM.Results·A total of 97 cases were collected,including 28 benign tumors and 69 HNSCCs.Fifteen pathologically confirmed OLNMs and 20 benign lymph nodes(BLNs)were also enrolled.Among the 28 benign tumors,there were 6 cases of pleomorphic adenoma stroma-rich(PA stroma-rich),9 cases of pleomorphic adenoma stroma-poor(PA stroma-poor),9 cases of Warthin's tumor(WT),and 4 cases of basal cell adenoma(BCA).Statistically significant differences were observed in certain imaging parameters(ADC,T2,and DR-CSI Vi)among benign tumor subtypes.PCA analysis demonstrated a strong discriminative ability of imaging parameters in distinguishing pathological subtypes of benign tumors(R2=0.64,P<0.001).Among the 69 HNSCCs,47 were classified as Grade 1(well/moderately well-differentiated)and 22 as Grade 2(moderately/poorly differentiated).Compared to Grade 1,Grade 2 showed lower ADC and higher T2 values,though differences were not statistically significant.As HNSCC malignancy increased,VA4 decreased and VB4 increased significantly.OLNM showed a significant increase in SD and VA4 compared to BLNs.The combination of SD and VA4 for preoperative OLNM identification achieved a diagnostic efficiency of 0.843.Conclusion·DR-CSI can analyze diffusion and relaxation characteristics at the sub-voxel level,offering valuable insights for characterizing benign head and neck tumor subtypes,assessing HNSCC malignancy,and identifying OLNMs.Compared to traditional parameters like ADC or T2,DR-CSI provides enhanced tissue microstructure analysis.

Objective To observe the value of MRI radiomics model for predicting postoperative prognosis of moderate carpal tunnel syndrome(CTS).Methods A total of 126 patients with moderate CTS who underwent endoscopic release and fat-suppressed proton density weighted imaging(PDWI)before operation were retrospectively enrolled.The patients were divided into good prognosis group(n=80)and poor prognosis group(n=46)based on postoperative functional evaluation,also randomly divided into training set and validation set at a ratio of 7∶3.Volume of interest(VOI)of the median nerve was obtained through delineating ROI of the affected wrist on fat suppressed PDWI.Radiomics features were extracted,and those associated with postoperative prognosis of CTS were screened in training set.Clinical prediction model,radiomics model and combined model of these two were established,and the predictive efficacy of the models were evaluated and compared according to the area under the curve(AUC)of receiver operating characteristic(ROC)curve.Results Patients in poor prognosis group were older than in good prognosis group(P＜0.05).A clinical model was constructed based on age.The radiomics model was constructed based on 6 radiomics features associated with postoperative prognosis of CTS,with predictive efficacy(AUC=0.872)higher than that of clinical model(AUC=0.604,P＜0.05)but not significantly different with that of the combined model(AUC=0.905,P＞0.05).Conclusion MRI radiomics model could be used to effectively predict postoperative prognosis of moderate CTS.

Objective·To investigate the imaging features of computed tomography(CT)and magnetic resonance imaging(MRI)in the patients with Kimura disease(KD)in the head and neck.Methods·Sixty-four cases of KD in the head and neck comfirmed by histopathology were retrospectively collected from 2009 to 2023 in Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine.All patients completed CT and/or MRI enhancement imaging before surgery.Clinical and imaging characteristics were collected,recorded and analyzed,including age,gender,peripheral blood eosinophilic ratio,serum IgE level,the lesion location,shape,size,CT density and degree of enhancement,MRI signal intensity and degree of enhancement,apparent diffusion coefficient(ADC),time-signal intensity curve(TIC)patterns,wash-in rate,and time to peak(TTP).Results·The average age of the 64 KD patients was(40±19)years,and 92.2%were males.A total of 73.5%of the patients showed an elevated ratio of peripheral blood eosinophil,and all 10 tested patients exhibited increased serum IgE levels.There were 82 extranodal(subcutaneous and glandular)lesions and 144 lymph node lesions detected by CT and MRI.Among the extranodal lesions,80.5%were subcutaneous or glandular patchy lesions with unclear boundaries,and the rest were nodular lesions with clear boundaries.All lesions exhibited isodensity on CT scans and showed isointensity on T1-weighted imaging(T1WI)and hyperintensity on T2-weighted imaging(T2WI)in MRI.Most extranodal lesions tended to show heterogeneous enhancement,while most lymph node lesions showed homogeneous enhancement.The median ADCs of the extranodal lesions and the lymph node lesions were 1.04×10-3 mm2/s and 0.67×10-3 mm2/s,respectively,which were significantly different(P=0.000).The dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)results showed that the TIC patterns of extranodal lesions were predominantly type Ⅰ andⅡ,accounting for 57.5%and 42.5%,respectively;while the TIC patterns of lymph node lesions were predominantly type Ⅱ(96.6%).The difference in the TTP and the wash-in rate between the extranodal lesions and the lymph node lesions were both statistically significant(P=0.000).Conclusion·Extranodal lesions and lymph node lesions of KD both show isodensity on CT,and isointensity on T1WI and hyperintensity on T2WI in MRI.Extranodal lesions often show high ADC,TIC type Ⅰ or Ⅱ,and mostly heterogeneous enhancement;lymph node lesions often show low ADC,TIC type Ⅱ,and mostly homogenous enhancement.

Objective·To investigate the effect of ceria nanoparticles-polyethylene glycol(CeNP-PEG)on scavenging reactive oxygen species(ROS)and alleviating disease activity in dextran sulphate sodium(DSS)-induced colitis mice.Methods·CeNP was synthesized with the hydrates of cerium acetate,oleamine,and xylene,which was modified with polyethylene glycol-stearyl phosphatidylethanolamine(mPEG-DPSE)to obtain CeNP-PEG.Then CeNP-PEG was purified.The particle size and zeta potential of CeNP-PEG were measured by using transmission electron microscopy(TEM)and dynamic light scattering(DLS).Mouse macrophages(Raw264.7)were cultured in vitro and induced to a pro-inflammatory phenotype(M1 phenotype).M1 macrophages were treated with 0.5 μg/mL and 1.0 μg/mL CeNP-PEG,respectively,and then Western blotting was used to detect the expression changes of the proteins related with nuclear factor-κB(NF-κB)signaling pathway.DSS-induced colitis mice models were constructed,and CeNP-PEG(1.0 mg/mL)was intravenously administrated for 3 times via tail vein during the modeling period.Meanwhile,the body weight,fecal characteristics,and frequency of rectal bleeding in mice were monitored in the normal control group(Normal group),the model group(DSS group),and the CeNP-PEG treatment group.The disease activity index(DAI)was calculated to evaluate the intestinal inflammation.The level of ROS in mouse intestinal tissues was detected by dihydroethidine(DHE)staining and the mRNA expression levels of inflammatory cytokines interferon-γ(Ifn-γ),interleukin-6(Il-6),Il-1β and tumor necrosis factor-α(Tnf-α)were detected by real-time quantitative PCR(RT-qPCR).Results·The hydrated particle size of synthesized CeNP-PEG was(6.96±0.27)nm,and the average zeta potential was(-6.02±1.31)mV.Western blotting results showed that the expression of p-P65 increased in the pro-inflammatory macrophages compared with the control group.The expression of NF-κB inhibitor-α(IκB-α)decreased,and their expressions tended to recover after the intervention of different concentrations of CeNP-PEG.In the DSS-induced colitis models,mice in the CeNP-PEG treatment group lost less weight than those in the DSS group(P= 0.000)and had lower DAI scores(P=0.000).The RT-qPCR results of intestinal tissues showed that the mRNA levels of Ifn-γ,Il-1β,Il-6 and Tnf-α in the DSS group were significantly up-regulated compared with those in the Normal group(P=0.000),and all of them significantly decreased in the CeNP-PEG treatment group.The results of DHE staining showed that the fluorescence intensity of intestinal tissues in the DSS group was significantly enhanced than that in the Normal group,and the fluorescence intensity decreased in the CeNP-PEG treatment group.Conclusion·CeNP-PEG can inhibit the expression of intestinal inflammatory factors and the activation of NF-κB-related inflammatory pathway of pro-inflammatory macrophages,eliminate intestinal ROS,improve the intestinal inflammatory microenvironment,and alleviate the disease activity of DSS-induced colitis in mice.

Objective:To compare the prognosis difference between proximal gastrectomy (PG) and total gastrectomy (TG) in patients with advanced upper gastric cancer.Methods:This study included patients of upper gastric cancer admitted from Jan 2011 to Dec 2016 undergoing radical resection at Harbin Medical University Cancer Hospital. Patients were divided into TG group (178 cases) and PG group (185 cases).Results:Comapared to PG group , more TG patients were with tumor diameter >4 cm, Borrmann type Ⅲ and postoperative stage Ⅲ ( χ2=9.687, P=0.002; χ2=24.897, P=0.001; χ2=6.257 P=0.044).The 5-year overall survival (OS) of the PG group and the TG group were 64.3% (95% CI: 45.1%-50.5%) and 60.6% (95% CI: 41.3%-47.6%) ( P=0.297).After propensity score matching, the OS between the two groups was not statistically significant ( P=0.876).Subgroup analysis of chemotherapy showed that the difference in survival between TG group and PG group was not statistically significant ( P=0.309). Conclusion:There was no difference in survival between PG and TG in patients with advanced upper gastric cancer.