Objective To investigate the value of quantitative parameters(Kep and Ktrans)of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI),in predicting perineural invasion(PNI)in peripheral prostate cancer(PCa).Methods The clinical and preoperative MRI data of 45 patients with peripheral PCa who underwent radical prostatectomy(RP)were analyzed retrospectively.According to the pathological results,the patients were divided into PNI group(n=27)and non-PNI group(n=18).Various parameters,including age,total prostate specific antigen(tPSA),Ktrans value,Kep value,apparent diffusion coefficient(ADC)value,prostate volume,maximum lesion diameter,and prostate-specific antigen density(PSAD)were compared between the two groups.Multivariate logistic regression analysis was used to identify independent predictors of PNI,and a joint prediction model was established.The DeLong test was used to compare differences in the area under the curve(AUC)between the joint prediction model and each independent predictor.Results The univariate analysis identified statistically significant differences in the tPSA,Ktrans value,ADC value,maximum lesion diameter,and PSAD between the two groups(P＜0.01).The multivariate analysis showed that the Ktrans value and the maximum lesion diameter were independent predictors of PNI,with AUC of 0.854 and 0.874,respectively(P＜0.01).The AUC of the joint prediction model for PNI diagnosis was 0.955(P＜0.001).The DeLong test showed that the AUC of the joint prediction model for PNI diagnosis was better than that of the Ktrans and the maximum lesion diameter(P＜0.05).Conclusion The Ktrans value can be used to predict PNI.Furthermore,the combination of the Ktrans value and the maximum lesion diameter is more effective for predicting PNI than traditional methods.This provides more reference basis for the selection of clinical treatment methods.

Objective To construct clinical imaging model,radiomics model,and a combined model based on the above two for predicting lymph node metastasis(LNM)of colon cancer(CC),and to compare the diagnostic performance of each model.Methods The data from 328 CC patients confirmed by surgical pathology were analyzed retrospectively,including 156 with LNM.All patients were randomly divided into training group(229 cases)and validation group(99 cases)at a ratio of 7∶3.The difference of clinical imaging indicators were compared between groups and a clinical imaging model for diagnosing LNM was constructed.The tumor three-dimensional volume of interest(VOI)was used for radiomics feature extraction,and after dimensionality reduction and selection,8 features were obtained to construct the Radiomics score(Radscore).A combined model of clinical imaging indicators and Radscore was built.The diagnostic performance of each model for LNM was compared,and the calibration and clinical benefit of the optimal model were evaluated.Results There were statistical differences in clinical imaging indicators between the two groups:carcinoembryonic antigen(CEA),CA199,tumor long diameter,and lymph node short diameter(P＜0.05).The area under the curve(AUC)of the clinical imaging model,radiomics model,and combined model were 0.721,0.814,0.854(training group),and 0.744,0.732,0.808(validation group),respectively.The AUC of the combined model was the highest,and both the training and validation groups were higher than that of the clinical imaging model(P＜0.05).The combined model demonstrated higher calibration,with a clinical benefit from decision curve analysis(DCA)threshold range of 0.09 to 0.91.Conclusion The nomogram constructed based on clinical imaging indicators and CT radiomics holds high value in diagnosing LNM of CC.

Objective To investigate the value of a nomogram model constructed from intratumoral and peritumoral magnetic resonance imaging radiomics combined with clinical characteristics in predicting the status of lymphovascular space invasion(LVSI)in cervical cancer.Methods A retrospective analysis was conducted on 178 cervical cancer patients confirmed by postoperative pathology,with 70 cases of LVSI(+)and 108 cases of LVSI(-).The patients were divided into a training set[142 cases,including 54 cases of LVSI(+)and 88 cases of LVSI(-)]and a test set[36 cases,including 16 cases of LVSI(+)and 20 cases of LVSI(-)]at a ratio of 8:2.All underwent magnetic resonance imaging before surgery,and regions of interest were manually delineated layer by layer on the T2WI sequence,with the peritumoral region being uniformly expanded outward.Univariate logistic analysis was performed on clinical factors to select independent factors for cervical cancer LVSI(+).Radiomic features were extracted separately from the intratumoral region,the peritumoral region,and the intratumoral-peritumoral region to construct radiomics models,and the differences between the peritumoral and the intratumoral-peritumoral models were compared.A combined model was established based on the radiomics scores of the optimal intratumoral-peritumoral model and clinical independent predictive factors,and a nomogram was plotted.Receiver operating characteristic curves were used to evaluate the diagnostic performance of each model,and decision curve analysis was used to assess the clinical value of the models.Results The combined model demonstrated the best performance among the various models,with AUC of 0.970 in the training set and 0.803 in the test set.Conclusion Intratumoral and peritumoral magnetic resonance imaging radiomics combined with clinical characteristics can effectively predict LVSI in cervical cancer.

Objective:To explore the value of clinical and biparametric magnetic resonance imaging(bpMRI)in diagnosing extraprostatic ex-tension(EPE)of prostate cancer(PCa).Methods:This retrospective study assigned 107 patients into EPE(n=42)and organ-limited(n=65)groups based on their postoperative pathology after radical prostatectomy from August 2018 to May 2024 at Wuhu Second People's Hospit-al.The differences in the following clinical risk indicators were compared between the groups:age,total prostate specific antigen(tPSA),pro-state volume,prostate specific antigen density(PSAD)and International Society of Urological Pathology(ISUP)score for prostate puncture.The differences in MRI indicators,prostate imaging reporting and data system(PI-RADS)score and bpMRI were also identified.Binary Logist-ic regression analysis was used to construct clinical and joint models for diagnosing EPE,and screening independent influencing factors.The ROC curve analyze the independent influencing factors and diagnostic performance of the models.The DeLong test was used to compare the differences between the AUC models.A nomogram was draw,and performance evaluated.Results:The differences in tPSA,PSAD,ISUP score for prostate puncture,PI-RADS score,and bpMRI were statistically significant between the two groups(P<0.05).The clinical model AUC was 0.821;while the AUCs of the combined model and independent influencing factors PSAD(OR=25.992),ISUP score for prostate puncture(OR=1.676),and bpMRI(OR=10.729)were 0.899,0.813,0.770,and 0.793 respectively(P<0.001).The combined model was superior to the clinical model(Z=2.502 and P=0.012).The average AUC for 5-fold cross-validation was 0.887,with high model calibration and a threshold range of 5%-85%,indicating clinical benefits.Conclusions:The combined model nomogram derived from clinical and bpMRI indicators is highiy valuable for diagnosing PCa EPE.

Objective:To explore the early effects and safety of using a hybrid fixation strategy with 3D-printed porous tantalum metal augments to reconstruct substantial bone defects in complex primary total knee arthroplasty (TKA).Methods:A retrospective analysis was performed on the clinical data from August 2019 to September 2023, encompassing 20 patients (21 knees) with significant bone loss who underwent hybrid fixation with 3D-printed porous tantalum augments. The procedures were conducted at two medical centers: the First Affiliated Hospital, School of Medicine, Zhejiang University (11 cases) and Xiangya Hospital of Central South University (9 cases). The study cohort comprised 6 males (6 knees) and 14 females (15 knees), with a mean age of 61.05±11.23 years (range, 42-80 years). The distribution of cases was 7 on the left side and 14 on the right side. All cases were categorized as type 3 according to the Anderson Orthopaedic Research Institute (AORI) classification system. The cohort included 19 unilateral and 1 bilateral case, with 5 involving complex primary replacements (3 with Charcot arthropathy, 1 with syphilitic arthropathy, and 1 with severe valgus deformity) and 16 revision surgeries (13 for aseptic loosening and 3 for infection). Preoperative assessments included routine CT scans and digital three-dimensional reconstructions to identify large metaphyseal defects exceeding 50% of the metaphyseal area or those thicker than 10 mm. For such defects, 3D-printed standardized porous tantalum augments were implemented. In cases of extensive cavitary bone defects or severe metaphyseal defects where the medial and lateral defects collectively exceeded 80% of the metaphyseal region or where the residual bone stock was insufficient for screw fixation of standardized augments, 3D-printed personalized custom-made porous tantalum augments were employed for hybrid fixation and repair. Comparative analyses were conducted on pre- and postoperative imaging data (prosthesis positioning and complications), knee range of motion (ROM), visual analogue scale (VAS) for pain, and Knee Society score (KSS).Results:Of the cases, 17 were repaired using standardized 3D-printed porous tantalum augments, while 4 underwent repairs with customized augments for hybrid fixation. Follow-up averaged 26.5±15.0 months (range, 12-62 months). There was a significant increase in knee ROM, improving from 72.8°±31.9° preoperatively to 113.2°±6.8° at 12 months postoperatively ( P<0.05). VAS scores decreased from 6.6±1.4 preoperatively to 2.5±1.0 at 12 months postoperatively ( P<0.05). Similarly, KSS improved from 52.8±6.4 preoperatively to 80.7±7.9 at 12 months postoperatively ( P<0.05). There were no incidences of prosthesis displacement, poor bone integration, or postoperative infections. Conclusion:The hybrid fixation strategy employing 3D-printed porous tantalum augments has been found to be effective in addressing significant bone defects in TKA. The follow-up results indicate a satisfactory biological integration of the porous tantalum metal augments with the host bone, which has resulted in substantial improvements in pain relief and knee joint functionality.

【Objective】 To explore the relationship between the storage time of leukodepleted red blood cells and transfusion adverse reactions by analyzing the occurrence of transfusion adverse reactions of patients after leukodepleted red blood cells transfusion from four hospitals. 【Methods】 By using the electronic medical record management system, the collection and transfusion dates of leukodepleted red blood cells from four hospitals in Enshi Prefecture from 2018 to 2022, as well as the information on transfusion adverse reactions, were retrieved. 【Results】 From 2018 to 2022, a total of 697 61 bags of leukodepleted red blood cells were transfused in four hospitals, resulting in 166 cases of transfusion adverse reactions, among which 93 were allergic reactions, 63 were non hemolytic febrile reactions, and 10 were others, with a total incidence rate of transfusion adverse reactions at 0.24%. The average storage time of leukodepleted red blood cells with and without transfusion adverse reactions was (20.25±6.31) and (19.88±5.50) days, respectively. With a storage time of 7 days as the threshold, the incidence of transfusion adverse reactions was the lowest for a storage time of 15~21 days. The incidence of transfusion adverse reactions of leukodepleted red blood cells in two groups (with storage days ≤21 days and >21 days) was not statistically significant(P>0.05). 【Conclusion】 Allergic reactions were the main type of transfusion adverse reaction caused by leukodepleted red blood cells, and the incidence of transfusion adverse reactions decreased and then increased with the prolongation of the storage time of leukodepleted red blood cells. There was no significant difference in the incidence of transfusion adverse reactions with leukodepleted red blood cells stored for ≤ 21 days and >21 days.

Alzheimer' s disease (AD) is a neurodegenerative disease that gradually impairs cognitive functions. Recently, there has been a conceptual shift toward AD to view the disease as a continuum. Since AD is currently incurable, effective intervention to delay or prevent pathological cognitive decline may best target the early stages of symptomatic disease, such as subjective cognitive decline (SCD), in which cognitive function remains relatively intact. Diagnostic methods for identifying AD, such as cerebrospinal fluid biomarkers and positron emission tomography, are invasive and expensive. Therefore, it is imperative to develop blood biomarkers that are sensitive, less invasive, easier to access, and more cost effective for AD diagnosis. This review aimed to summarize the current data on whether individuals with SCD differ reliably and effectively in subjective and objective performances compared to cognitively normal elderly individuals, and to find one or more convenient and accessible blood biomarkers so that researchers can identify SCD patients with preclinical AD in the population as soon as possible. Owing to the heterogeneity and complicated pathogenesis of AD, it is difficult to make reliable diagnoses using only a single blood marker. This review provides an overview of the progress achieved to date with the use of SCD blood biomarkers in patients with preclinical AD, highlighting the key areas of application and current challenges.

Objective:To investigate the relationship between brain derived neurotrophic factor (BDNF) gene polymorphism and the change of grey matter volume (GMV) and fractional amplitude of low-frequency fluctuation (fALFF) in cerebral small vessel disease (CSVD) patients with subcortical ischemic depression (SID).Methods:Eighty-seven CSVD patients in the First Affiliated Hospital of Anhui Medical University were enrolled from July 2017 to November 2020 and divided into CSVD-SID group [Geriatric Depression Scale (GDS) score>10] and CSVD-non - depression group (CSVD-ND group, GDS score≤10) according to GDS. Both GMV and fALFF were calculated based on structural and functional magnetic resonance imaging data, and the interactions between SID diagnosis and BDNF gene on brain function and structure alteration were explored.Results:GMV was significantly increased in the posterior default network (pDMN; such as posterior cingulate gyrus/precuneus and middle temporal gyrus) in the CSVD-SID group compared with the CSVD-ND group. On GMV property, significant interactions between BDNF gene and SID were found in the cuneus ( F=25.50, P<0.001), precuneus lobe ( F=13.61, P<0.001) and cerebellum ( F=17.23, P<0.001). In the aspect of fALFF, the brain functional activity in the superior frontal gyrus was significantly increased in the CSVD-SID group compared with that in the CSVD-ND group (0.363±0.648 vs -0.427±0.514,cluster size=48 voxels, t=5.63, P<0.001). But there was no significant interaction between diagnosis and BDNF genotype on brain function. Conclusions:Both the GMV and fALFF were increased in CSVD-SID, mainly located in the pDMN and frontal lobe. Significant interaction was found between CSVD-SID and BDNF genotype on GMV.

Objective:To evaluate the efficacy and safety of perioperative rehabilitation approaches based on the concept of Enhanced Recovery After Surgery (ERAS) for pelvic fractures.Methods:A prospective randomized control trial was conducted to include 114 emergency patients who had been admitted to Department of Orthopaedic Trauma, Beijing Jishuitan Hospital for surgical treatment of pelvic fractures from June 2019 to December 2020. Of them, 57 were assigned into an intervention group according to a random digits table. They were 42 males and 15 females, aged from 18 to 77 years and subjected to management of pelvic fractures with tentative perioperative ERAS approaches which were adjusted at different stages. The other random 57 patients were assigned into a control group. They were 40 males and 17 females, aged from 17 to 70 years and subjected to management of pelvic fractures with conventional rehabilitation approaches which included postoperative in-hospital consultation and guidance by rehabilitation physicians. The 2 groups were compared in terms of Majeed pelvis scores and Barthel indexes at postoperative 2, 6, 12 and 24 weeks, and visual analogue scale (VAS) pain scores and SF36 scores at postoperative 12 and 24 weeks.Results:A total of 105 patients (55 in the intervention group and 50 in the control group) were completely followed up for 151 to 254 d (mean, 177 d). The 2 groups were comparable due to no significant difference between them in the preoperative general data ( P>0.05). The Majeed scores (44±13, 67±16, 86±14 and 98±7) and Barthel indexes (57±13, 79±16, 95±8 and 100±2) at postoperative 2, 6, 12 and 24 weeks in the intervention group were significantly higher than those in the control group [(35±16, 51±16, 73±14 and 91±12) and (45±19, 67±18, 86±12 and 98±4)] (all P<0.05). At postoperative 12 and 24 weeks, the SF-36 scores (129±15 and 141±6) in the intervention group were significantly higher than those in the control group (114±15 and 131±12) ( P<0.05). There was no significant difference in the pain degree between the 2 groups ( P>0.05). Conclusion:In management of pelvic fractures, compared with conventional perioperative rehabilitation approaches, the perioperative ERAS rehabilitation approaches may improve early functional outcomes and thus help the patients restore their activities of daily living earlier.

Objective:To investigate the impact of altering brain gray matter volume (GMV) on cognition and gait disorder in patients with amnestic mild cognitive impairment (aMCI).Methods:Thirty-six patients with aMCI, who admitted to the First Affiliated Hospital of Anhui Medical University from July 2018 to August 2020, were collected, and 33 normal controls (NC) matched with age, sex and education level were included in the same period. The neuropsychological assessment was done in all the subjects using Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment scale (MoCA), Cambridge Cognitive Examination-Chinese version (CAMCOG-C), Geriatric Depression Scale (GDS) and Activities of Daily Living scale (ADL). The timed up and go test (TUG), dual task of timed up and go test (D-TUG) and Berg Balance Scale (BBS) were used in the subjects for assessment. The parameters such as stride length, gait speed, gait frequency were collected by intelligent device for energy expenditure and activity. All the subjects received 3.0 T magnetic resonance imaging scan to obtain high-resolution T 1 structural images. Voxel-based morphometry (VBM) was used to compare the difference of GMV between aMCI patients and NC. Partial correlation analysis was performed among altering GMV in the regions of interest (ROI), cognitive score and gait parameters, respectively. Linear regression analysis was used between whole brain GMV and gait parameters. Results:The scores of MMSE, MoCA, CAMCOG-C and the subitems of CAMCOG-C in aMCI group were significantly lower than those in NC group ( P<0.05). In aMCI patients, both the test time of TUG and D-TUG increased, gait speed slowed down, stride length shortened, and stride frequency and BBS score decreased ( P<0.05).VBM analysis showed that the whole brain GMV in aMCI patients was obviously lower than that of NC. In the aMCI group, GMV in ROI1 (right hippocampus, right parahippocampal gyrus, right amygdala and right fusiform gyrus), ROI2 (right middle temporal gyrus), ROI3 (right angular gyrus), ROI4 (right occipital lobe), ROI5 (bilateral orbital frontal lobe), ROI6 (left middle frontal gyrus and rectus gyrus), ROI7 (left fusiform gyrus and left parahippocampal gyrus) was significantly decreased compared with the NC group [Gaussian random field (GRF) correction, two-tailed test, voxel level P<0.001, cluster level P<0.05). In the aMCI group, GMV in ROI1 was positively correlated with orientation ( r=0.437, P=0.012), memory ( r=0.360, P=0.043), execution ( r=0.414, P=0.019), and negatively correlated with ADL score ( r=-0.529, P=0.002). GMV in ROI2 was negatively correlated with ADL score ( r=-0.400, P=0.023). GMV in ROI4 and in ROI5 was positively correlated with the calculation ( r=0.370, P=0.037) and execution ( r=0.360, P=0.043), respectively. GMV in ROI6 was positively correlated with MMSE score ( r=0.357, P=0.045), CAMCOG-C total score ( r=0.503, P=0.003) and calculation ( r=0.395, P=0.025), and negatively correlated with ADL score ( r=-0.387, P=0.028). GMV in ROI5 was positively correlated with gait speed ( r=0.391, P=0.027). In the aMCI group, CAMCOG-C total score was negatively correlated with D-TUG results ( r=-0.387, P=0.035), executive function was negatively correlated with TUG results ( r=-0.450, P=0.013) and D-TUG results ( r=-0.553, P=0.002), and positively correlated with gait speed ( r=0.379, P=0.039). Attention was positively correlated with gait speed ( r=0.590, P=0.001), and computing was positively correlated with gait speed ( r=0.371, P=0.044). The linear regression of whole brain GMV and gait parameters showed negative correlation between the GMV of left occipital lobe and TUG results in the aMCI group. The GMV of bilateral prefrontal cortex, right occipital lobe and surrounding cortex was positively correlated with gait speed (GRF correction, two-tailed test, voxel level P<0.001, cluster level P<0.05). Conclusions:Patients with aMCI presented with gray matter atrophy, cognition impairment, and gait disorders. The cognition impairment was closely related to the atrophy of medial temporal lobe. Gait disorders were not only associated with cognition impairment but also with gray matter volume in the prefrontal lobe, occipital lobe and its surrounding cortex, and anterior central gyrus.