BACKGROUND:Up to date,there is seldom research about the correlation between the harmonious alignment degree of lumbar lordosis and pelvic incidence and the improvement of postoperative clinical symptoms in patients with lumbar stenosis fusion. OBJECTIVE:To investigate the harmonious alignment degree of lumbar lordosis and pelvic incidence in patients with lumbar spinal stenosis and fusion,and compare the differences of spinal and pelvic sagittal parameters and clinical outcomes among different harmonious alignment degrees. METHODS:The medical records of 110 patients with lumbar spinal stenosis(48 males and 62 females,aged 57±11 years)who were treated with posterior lumbar laminar decompression and internal fixation in the Department of Spinal Surgery,Tianjin Union Medical Center from December 2019 to December 2021 were retrospectively analyzed.The postoperative follow-up was more than 1 year.According to the harmonious alignment degree of lumbar lordosis and pelvic incidence,they were divided into two groups:Group A(n=47)(pelvic incidence-lumbar lordosis>10°)and group B(n=63)(pelvic incidence-lumbar lordosis≤10°).The changes of clinical scores(low back pain visual analog scale score and Oswestry disability index)and spinal and pelvic sagittal parameters before and after surgery were compared between the two groups.The correlation between clinical symptom improvement and spinal and pelvic imaging parameters was analyzed. RESULTS AND CONCLUSION:(1)There were no significant differences in preoperative pelvic sagittal parameters and clinical function between the two groups(P>0.05).(2)There were no significant differences in operation time and blood loss between the two groups(P>0.05).(3)At the last postoperative follow-up,the visual analog scale score and Oswestry disability index in group B were significantly improved compared with group A(P=0.000,P=0.005).Lumbar lordosis and sacral slope were also significantly improved(P=0.000,P<0.05),and pelvic tilt was more significantly recovered(P=0.000).(4)Pearson correlation coefficient method results showed that the improvement of visual analog scale score of low back pain was significantly correlated with the improvement of pelvic tilt(r=0.209,P=0.008),lumbar lordosis(r=-0.133,P=0.021)and sacral slope(r=-0.156,P=0.031).Pelvic tilt was significantly correlated with Oswestry disability index(r=0.196,P=0.014).(5)It is concluded that reconstructed lumbar lordosis and reduced pelvic tilt for the harmonious alignment(pelvic incidence-lumbar lordosis≤10°)can effectively improve the clinical symptoms of patients.

Objective The diagnosis of nasal fractures poses challenges in forensic clinical evaluation.This study aims to develop and enhance an artificial intelligence-based model for nasal fracture recognition,evaluate its performance,and provide assistance and support for forensic clinical identification.Methods Multi-center nasal CT images were selected and screened according to the consensus standards set by Chinese experts in nasal CT examination and diagnosis.A recognition model was constructed,followed by external verification and evaluation.Additionally,the diagnostic capabilities of qualified appraisers/doctors with different professional titles(primary,intermediate,and senior)were compared with the performance of the intelligent recognition model.The accuracy,sensitivity,specificity),and negative predictive value(NP)of the intelligent recognition model were comprehensively evaluated.Results The intelligent recognition model exhibited high diagnostic efficiency and stability.It improved the diagnostic accuracy of radiologists and appraisers in detecting nasal fractures while effectively bridging the gap between inexperienced doctors/appraisers and experienced ones.Conclusion The intelligent recognition model for nasal fractures can assist appraisers in enhancing their ability to locate such fractures on CT images and improve work efficiency while enhancing appraisal opinions'accuracy and scientificity.

Objective To investigate the recognition efficiency of AI model based on deep learning for cardiac conduction system(CCS).Methods HE staining sections of cardiac muscle and CCS of 17 cases of non-sudden death were selected,and the gold standard was unanimous recognition by 2 forensic pathologists with more than 20 years of CCS diagnosis experience.Inception V3 algorithm was used to establish AI model and complete CCS identification training and testing.Confusion matrix,accuracy,precision,recall,F1 score,ROC curve and AUC value were used to evaluate the effectiveness of AI model,and accuracy,sensitivity and specificity were used to evaluate the efficiency of manual independent and AI-assisted manual recognition for CCS.Results The accuracy of AI model was 87.3%,the precision was 91.9%,the recall was 81.9%,the F1 score was 86.6%,and the AUC value was 95.3%.The accuracy of AI model was higher than that of senior forensic pathologists.There was no statistical significance in the accuracy of AI-assisted senior forensic pathologists in identifying CCS compared with manual independent detection(P>0.05),while the accuracy of AI-assisted intermediate and junior forensic pathologists in identifying CCS was increased by 8%and 14.33%,respectively,with statistical significance(P<0.05).The accuracy rate of AI-assisted junior forensic pathologists to identify CCS was higher than that of intermediate forensic pathologists in self-diagnosis.Conclusion The AI model could be used for the automatic recognition of CCS,and could improve the diagnostic efficiency of CCS and narrow the gap between the forensic pathologists with low experience and that with high experience.

Objective To conduct a comprehensive visual analysis of the application of Artificial Intelligence(AI)in forensic medicine using bibliometric tools so as to create knowledge maps of cooperation network,research hotspots,important findings,and potential future trends in this field.Methods The Web of Science(WoSCC)was utilized as the primary data source,search formula incorporating AI and forensic medicine as core subject words was constructed,resulting in a dataset comprising 2 287 literature records.Vosviewer,Citespace,and Bibliometrix were employed for analyzing various aspects such as cooperation network,keyword co-occurrence networks,clustering dynamics,clusters,centrality degree and thematic strategic coordinate charts.These analyses facilitated the creation of corresponding visual maps.Results The collaboration among authors still requires further strengthening;however significant groups have emerged among institutions and countries.Research hotspots and important findings predominantly revolve around algorithmic applications.Furthermore,"identification"related research appears to become a prominent future research trend.Conclusion By employing bibliometric analysis techniques on the application of artificial intelligence in forensic medicine domain,this study successfully elucidats cooperation networks,research hotspots,important findings,future research directions,and provides objective support through empirical evidence for related studies.

The article is study about range of motion on lower extremities on Guides to the Evaluation of Permanent Impairment. We reviewed the latest range of motion concept about lower extremities evaluation of GEPI. We also introduced measurement and procedure of range of motion evaluation. To provide advice for construction of disability evaluation system in China.

Objective To explore the clinical efficacy in bilateral lumbar foraminal stenosis (LFS) after treatment with bilateral facetectomy combined with pedicle screw fixation and interbody fusion.Methods A total of 41 cases of patients with bilateral LFS underwent bilateral facetectomy combined with pedicle screw fixation and interbody fusion from February 2010 to August 2013 in Department of Spine Surgery,the People's Hospital of Tianjin City,were retrospectively analysed.The clinical efficacy was assessed by Oswestry disability index (ODD questionnaire and visual analogue scale (VAS) before and after operation,anterior and posterior disc height and L1-S1 angle were measured as well.Then the ODI and VAS scores,and changes in anterior and posterior disc height and L1-S1 angle were calculated at the time of the last patient follow-up visit.Results All 41 patients were followed up for 12 to 36 months,with an average of (26.2±2.4) months.Compared with preoperation,at the time of the last follow-up visit the back pain VAS score,leg pain VAS score and ODI were decreased,while the anterior and posterior disc height were increased,there were statistically significant differences (P＜0.05).No statistically significant difference was found in L1-S1 angle between preoperation and postoperation (P＞0.05).Conclusion The short-term clinical curative effect of posterior bilateral facetectomy combined with pedicle screw fixation and interbody fusion in the treatment of bilateral LFS is satisfactory.

Objective The article is to study on the detection of α-helix proteins in post-traumatic epileptogenic focus by FTIR-mapping. Methods Fourier transform infrared spectroscopy-mapping were applied to identifying α-helix by point-by-point scanning in post-traumatic epileptogenic focus sections and to develop FTIR-mapping profiles. Result The high absorbance of α-helix is accord with post-traumatic epilepsy, there are some significant differences between high absorbance and low absorbance. Conclusion α-helix proteins are distributed in post-traumatic epileptogenic focus widely, thus α-helix protein are involved in post-traumatic epilepsy.

The article is study about principle of lower extremities on Guides to the Evaluation of Permanent Impairment. We reviewed the latest concept in lower extremities evaluation of GEPI, such as regional impairment, diagnosis based impairment and grade modifier. We also introduced maximum medical improvement and conversion from lower extremities impairment to whole person impairment. To provide advice for construction of disability evaluation system in China.

The article is comparative study about spine and extremities on clause for the identification of the body injured and The classification of the body impairment. We reviewed the terms and provisions about spine and extremities as follows, amputation impairment, function impairment, and amputation impairment combined function impairment. This paper provides a comprehensive access and analysisofthe similarities and differences between the two standards.

Objective It aims to investigate the relationships among the categories of Comprehensive Version for Stroke as described in the International Classiifcation of Functioning, Disability and Health (ICF) Core Set, and to provide new supports for Judicial Appraisal of functioning in stroke by ICF functioning mapping.Methods The variables of 59 categories of ICF assessment scale and the samples of 106 persons’ are selected and used in the least absolute shrinkage and selection operator (LASSO) for mining dependencies among those variables. The graphical modeling and analyzing with the software Gephi provides a visual map of the correlations among those classiifcations. Results 59 interconnected categories which organized into the functioning mapping. b340, b735, b175 and b152 are centrally positioned categories because of their high correlation.Conclusion Functioning mapping by graphical modeling can reveal complex relational structures embedded in functioning classiifcations, which provides the support for using ICF to appraisal stroke.