Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Aim To investigate the protective effect of Jujing formula on retina of mice with dry age-related macular degeneration(AMD).Methods The mouse model of dry AMD was induced by intraperitoneal in-jection of sodium iodate,and the prognosis was given to the Jujing formula.Retinal thickness was detected by optical coherence tomography(OCT),the retinal morphological changes were observed by hematoxylin-eosin(HE)staining,and the apoptosis of retinal cells was detected by in situ terminal transferase labeling(TUNEL)staining.Combination of tumor necrosis fac-tor-α(TNF-α),interleukin-6(IL-6)and interleukin-1β(IL-1 β)in eyeballs and serum,superoxide dis-mutase(SOD),glutathione(GSH)and malondialde-hyde(MDA)were evaluated to assess the protective effects of Jujing formula on retinal injury in mice with dry AMD.Results The results of OCT,HE and TUNEL staining showed that Jujing formula significant-ly improved the retinal injury induced by sodium iodate in mice with dry AMD,increased the retinal thickness(P＜0.05),reduced the apoptosis of retinal cells(P＜0.01),and increased the levels of GSH,IL-6 and SOD activity in eyeballs and serum(P＜0.01).The levels of TNF-α,IL-6,IL-1β and MDA were reduced(P＜0.01).Conclusions Jujing formula has certain therapeutic effects on retinal injury in dry AMD,which may be related to inhibiting inflammatory response and enhancing antioxidant capacity.

Objective To compare the incidence of superior facet joint violation in patients with different preoperative diagnoses in posterior lumbar interbody fusion.Methods The clinical data of 320 patients who underwent posterior lumbar interbody fusion from January 2018 to December 2021 in our hospital were retrospectively analyzed,and the preoperative diagnoses were including the lumbar disc herniation/lumbar spinal canal stenosis,degenerative lumbar spondylolisthesis,and isthmic lumbar spondylolisthesis.The superior facet joint violation was graded based on the postoperative lumbar CT,the incidences of superior facet joint intrusion of patients with different preoperative diagnosis were compared,and the correlations between relevant parameters(including the apical vertebrae of fixation segments,facet joint angle,depth of lamina,introversion angle of pedicle screw,axial diameter of facet joint,and slippage length of vertebrae)with superior facet joint violation and preoperative diagnoses were investigated.Results The incidence of superior facet joint violation in the patients with isthmic lumbar spondylolisthesis(57.4%)was higher than that in the patients with lumbar disc herniation/lumbar spinal canal stenosis(41.2%)and degenerative lumbar spondylolisthesis(35.9%),with statistically significant differences(P<0.05).The apical vertebrae of fixation segments,facet joint angle,axial diameter of facet joint and introversion angle of pedicle screw were related with the occurrence of superior facet joint violation(P<0.05).There were statistically significant differences in the facet joint angle,axial diameter of facet joint and apical vertebrae of fixation segments among patients with different preoperative diagnoses(P<0.05).Conclusion Patients with isthmiclumbar spondylolisthesis are more likely to occur superior facet joint violation than patients with lumbar disc herniation/lumbar spinal canal stenosis and degenerative lumbar spondylolisthesis.

Objective To investigate the risk factors for complications within 1 year after carotid artery stenting(CAS),construct a prediction model for these complications based on the identi-fied risk factors,and then validate the efficacy of the model.Methods A retrospective trial was conducted on 313 patients undergoing CAS in our hospital between January 2017 and December 2021.Based on the sequence of postoperative follow-up visits,these patients were categorized into a modeling group(235 cases)and a validation group(78 cases)in a ratio of 3∶1,and the patients of the modeling group was further assigned into non-complication(182 cases)and complication subgroups(53 cases).The general data were compared between the modeling and balidation groups,and univariate and multivariate logistic regression analyses were applied to identify risk factors for the risk factors for the complications,and then a prediction model was constructed using logistic scoring.ROC curve analysis was employed to evaluate the performance of the model by using AUC value.Results Multivariate logistic regression analysis revealed that non-compli-ance with antiplatelet medication(OR=65.656,95％CI:12.052-357.683,P=0.000),and abnor-mal BMI(OR=2.298,95％CI:1.023-5.163,P=0.044),cigarette history(OR=5.965,95％CI:2.527-14.079,P=0.000),and high LDL-C(OR=6.290,95％CI:1.828-21.645,P=0.004)were independent risk factors for complications occurrence within 1 year after CAS surgery.The AUC value was 0.827 for the modeling group and 0.806 for the validation group.Conclusion Non-com-pliance to antiplatelet medication,abnormal BMI,smoking history,and high LDL-C level are inde-pendent risk factors for complications occurrence within 1 year after CAS.Our developed ABCD risk prediction model demonstrates good discrimination and accuracy,and can provide valuable guid-ance for the early identification and prevention of complications following CAS surgery in clinical practice.

Objective:To investigate age-related characteristics of gait parameters in the elderly.Methods:From February 2023 to August 2023, a convenient sampling method was used to investigate the elderly over 60 years old in communities in Beijing.General characteristics and anthropometric data were collected.Gait parameters of the subjects during normal speed walking were measured using a wearable gait analyzer.Comparisons were made of the basic characteristics, physical status and gait parameters in different age groups.Linear regression analysis was used to evaluate the changes of physical status and gait parameters with age, with the 60-69-year-old group as the baseline standard.Results:A total of 670 elderly people were included, including 324(48.4%)aged 60-69 years, 285(42.5%)aged 70-79 years, and 61(9.1%)aged ≥80 years.Linear regression analysis showed that after adjusting for confounding factors, with increasing age, skeletal muscle mass index(SMI)( β=-0.018, 95% CI: -0.029--0.007), calf circumference( β=-0.096, 95% CI: -0.142--0.051), upper limb flexibility( β=-0.200, 95%, 95% CI: -0.355--0.046), lower limb flexibility( β=-0.244, 95% CI: -0.377--0.111), grip strength( β=-0.397, 95% CI: -0.491--0.303), the Short Physical Performance Battery(SPPB)( β=-0.080, 95% CI: -0.100--0.060)decreased( P<0.05), and the gait parameter such as speed( β=-0.010, 95% CI: -0.014--0.007), cadence( β=-0.398, 95% CI: -0.634--0.162), step length/height( β=-0.002, 95% CI: -0.003--0.002), stride length( β=-0.009, 95% CI: -0.011--0.007), swing power( β=-0.009, 95% CI: -0.012--0.006), ground impact( β=-0.020, 95% CI: -0.026--0.014), foot fall( β=-0.050, 95% CI: -0.064--0.036), pre-swing angle( β=-0.545, 95% CI: -0.714--0.377)all decreased( P<0.05), while stride time( β=0.005, 95% CI: 0.001-0.009), single limb support time( β=1.566, 95% CI: 0.499-2.633), terminal double limb support time( β=0.609, 95% CI: 0.084-1.134), swing duration( β=1.288, 95% CI: 0.024-2.552), single step time( β=2.417, 95% CI: 0.462-4.372)and support phase time( β=1.935, 95% CI: 0.421-3.449)all increased( P<0.05). Conclusions:The walking ability tends to decline with age in older people in the community who walk at a normal walking speed.

Objective To investigate the genetic causes of auditory neuropathy with optic atrophy in a family.Methods The proband's medical history and family history were inquired in detail,and relevant clinical examina-tions were performed to confirm the diagnosis of auditory neuropathy with optic atrophy,and the genetic pedigree of the family was drawn.Peripheral blood of proband(Ⅲ-7)was collected for whole exome sequencing,and the patho-genicity of the detected mutations were interpreted.Blood samples of proband's wife(Ⅲ-8),eldest daughter(Ⅳ-7),second daughter(Ⅳ-9)and son(Ⅳ-10)were tested for mutation sites by Sanger sequencing.Combined with clinical manifestations and examination results,the family was studied.Results The genetic pattern of this family was autosomal dominant.The proband showed decreased visual acuity at the age of 19,bilateral sensorineural deaf-ness at the age of 30,and decreased speech recognition rate.Among 20 members of the family of 5 generations,10(2 deceased)showed similar symptoms of hearing and visual impairment.Proband(Ⅲ-7),eldest daughter(Ⅳ-7)and son(Ⅳ-10)underwent relevant examination.Pure tone audiometry showed bilateral sensorineural deafness.ABR showed no response bilaterally.The 40 Hz AERP showed no response in both ears.OAE showed responses in some or all of the frequencies.No stapedial reflex was detected.The eye movement of Ⅲ-7 and Ⅳ-10 were reasona-ble in all directions,and color vision was normal.Ocular papilla atrophy was observed in different degrees in fundus examination.OCT showed thinning of optic disc nerve fibers in both eyes,and visual evoked potential showed pro-longed P100 wave peak.They were diagnosed as hereditary auditory neuropathy with optic atrophy.A mutation of the OPA1 gene c.1334G＞A(p.Arg445His,NM_015560.2)at a pathogenic locus on chromosome 3 was detected by whole exon detection in Ⅲ-7.The results of generation sequencing analysis showed that the OPA1 gene c.1334G＞A(p.Arg445His,NM_015560.2)mutation of chromosome 3 was also found in Ⅳ-7 and Ⅳ-10.Meanwhile,the gen-otypes of Ⅲ-8 and Ⅳ-9 were wild homozygous,that is,no mutation occurred.Conclusion The OPA1 c.1334G＞A(p.Arg445His,NM_015560.2)mutation site might be the pathogenic mutation in this family.