OBJECTIVE: The purpose of this study was to investigate whether three-dimensional (3D) magnetic resonance imaging could improve diagnostic accuracy for suspected posterior ligamentous complex (PLC) disruption. MATERIALS AND METHODS: We used 20 freshly harvested goat spine samples with 60 segments and intact surrounding soft tissue. The animals were aged 1–1.5 years and consisted of 8 males and 12 females, which were sexually mature but had not reached adult weights. We created a paraspinal contusion model by percutaneously injecting 10 mL saline into each side of the interspinous ligament (ISL). All segments underwent T2-weighted sagittal and coronal short inversion time inversion recovery (STIR) scans as well as coronal and sagittal 3D proton density-weighted spectrally selective inversion recovery (3D-PDW-SPIR) scans acquired at 1.5T. Following scanning, some ISLs were cut and then the segments were re-scanned using the same magnetic resonance (MR) techniques. Two radiologists independently assessed the MR images, and the reliability of ISL tear interpretation was assessed using the kappa coefficient. The chi-square test was used to compare the diagnostic accuracy of images obtained using the different MR techniques. RESULTS: The interobserver reliability for detecting ISL disruption was high for all imaging techniques (0.776–0.949). The sensitivity, specificity, and diagnostic accuracy of the coronal 3D-PDW-SPIR technique for detecting ISL tears were 100, 96.9, and 97.9%, respectively, which were significantly higher than those of the sagittal STIR (p = 0.000), coronal STIR (p = 0.000), and sagittal 3D-PDW-SPIR (p = 0.001) techniques. CONCLUSION: Compared to other MR methods, coronal 3D-PDW-SPIR provides a more accurate diagnosis of ISL disruption. Adding coronal 3D-PDW-SPIR to a routine MR protocol may help to identify PLC disruptions in cases with nearby contusion.
Adult ; Animals ; Contusions ; Diagnosis ; Female ; Goats ; Humans ; Ligaments ; Magnetic Resonance Imaging ; Male ; Models, Animal ; Protons ; Sensitivity and Specificity ; Spine ; Tears ; Weights and Measures

Objective:To evaluate the detection performance of left ventricular ejection fraction (LVEF) in patients with chronic renal failure (CRF) by an artificial intelligence (AI) model based on yolox framework integrating left ventricular segmentation and critical point detection.Methods:From January 2019 to June 2023, a total of 4 284 echocardiographic images of 2 000 adults aged 18-80 years without segmental wall motion abnormalities, structural heart disease, cardiac surgery or cardiomyopathy were collected in Henan Provincial People′s Hospital to delineate the endocardial membrane, as a training set, an AI model based on yolox framework integrating left ventricular segmentation and critical point detection was established. The images were divided into the training set( n=1 675) and the test set( n=325) in a ratio of about 5∶1. All 228 echocardiographic images of 100 normal adult volunteers who were treated in Henan Provincial Chest Hospital from May 2020 to May 2021 were collected as external test set validation. All 792 echocardiographic images of 204 patients treated in Henan Provincial People′s Hospital from April 2019 to June 2023 were continuously enrolled to evaluate the measurement efficiency of AI model. Spearman correlation statistical method was used to analyze the consistency of AI model measurement with manual measurement and TomTec software measurement methods of 3 senior echocardiographic professionals. Subjects were divided into clear image group, unclear image group, normal LVEF group and reduced LVEF group, the differences of general data between the two groups were compared. The correlation coefficient(ICC) within the group was calculated to analyze the consistency, so as to evaluate the model performance. Results:LVEF measured by AI model was significantly correlated with both manual measurement and TomTec model measurement ( rs=0.834, 0.826; all P<0.01). ICC values of the clear image group and the unclear image group were 0.96 and 0.97, respectively. ICC values for all subjects, normal LVEF group and reduced LVEF group were 0.96, 0.90 and 0.96, respectively. Conclusions:The AI model based on yolox framework integrating left ventricular segmentation and critical point detection has good diagnostic performance in the automatic measurement of LVEF in patients with CRF.

Objective:To assess the effectiveness of a model created using clinical features and preoperative chest CT imaging features in predicting the chronic obstructive pulmonary disease (COPD) among patients diagnosed with lung cancer.Methods:A retrospective analysis was conducted on clinical (age, gender, smoking history, smoking index, etc.) and imaging (lesion size, location, density, lobulation sign, etc.) data from 444 lung cancer patients confirmed by pathology at the Second Affiliated Hospital of Naval Medical University between June 2014 and March 2021. These patients were randomly divided into a training set (310 patients) and an internal test set (134 patients) using a 7∶3 ratio through the random function in Python. Based on the results of pulmonary function tests, the patients were further categorized into two groups: lung cancer combined with COPD and lung cancer non-COPD. Initially, univariate analysis was performed to identify statistically significant differences in clinical characteristics between the two groups. The variables showing significance were then included in the logistic regression analysis to determine the independent factors predicting lung cancer combined with COPD, thereby constructing the clinical model. The image features underwent a filtering process using the minimum absolute value convergence and selection operator. The reliability of these features was assessed through leave-P groups-out cross-validation repeated five times. Subsequently, a radiological model was developed. Finally, a combined model was established by combining the radiological signature with the clinical features. Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) curves were plotted to evaluate the predictive capability and clinical applicability of the model. The area under the curve (AUC) for each model in predicting lung cancer combined with COPD was compared using the DeLong test.Results:In the training set, there were 182 cases in the lung cancer combined with COPD group and 128 cases in the lung cancer non-COPD group. The combined model demonstrated an AUC of 0.89 for predicting lung cancer combined with COPD, while the clinical model achieved an AUC of 0.82 and the radiological model had an AUC of 0.85. In the test set, there were 78 cases in the lung cancer combined with COPD group and 56 cases in the lung cancer non-COPD group. The combined model yielded an AUC of 0.85 for predicting lung cancer combined with COPD, compared to 0.77 for the clinical model and 0.83 for the radiological model. The difference in AUC between the radiological model and the clinical model was not statistically significant ( Z=1.40, P=0.163). However, there were statistically significant differences in the AUC values between the combined model and the clinical model ( Z=-4.01, P=0.010), as well as between the combined model and the radiological model ( Z=-2.57, P<0.001). DCA showed the maximum net benifit of the combined model. Conclusion:The developed synthetic diagnostic combined model, incorporating both radiological signature and clinical features, demonstrates the ability to predict COPD in patients with lung cancer.

A 24-year-old male was admitted due to recurrent redness, swelling, fever and pain in the ankle, frequently accompanied by hungry feeling. Dual energy CT scans showed multiple small gouty stones in the posterior edge of the bilateral calcaneus and in the space between the bilateral metatarsophalangeal joints. The laboratory examination results indicated hyperlipidemia, high lactate lipids, and low fasting blood glucose. Histopathology of liver biopsy showed significant glycogen accumulation. The results of gene sequencing revealed the compound heterozygous mutations of the G6PC gene c.248G>A (p.Arg83His) and c.238T>A (p.Phe80Ile) in the proband. The c.248G>A mutation was from mother and the c.238T>A mutation was from father. The diagnosis of glycogen storage disease type Ⅰa was confirmed. After giving a high starch diet and limiting monosaccharide intake, as well as receiving uric acid and blood lipids lowering therapy, the condition of the patient was gradually stabilized. After a one-year follow-up, there were no acute episodes of gout and a significant improvement in hungry feeling in the patient.
Male ; Humans ; Young Adult ; Adult ; Glycogen Storage Disease Type I/genetics* ; Gout/genetics* ; Mutation ; Lipids

Objective To investigate the application value of controlled attenuation parameter (CAP) of hepatocyte steatosis measured by FibroScan in the diagnosis and traditional Chinese medicine (TCM) syndrome differentiation of nonalcoholic fatty liver disease (NAFLD). Methods A retrospective analysis was performed for related data of 364 patients with NAFLD who attended The First Affiliated Hospital of Henan University of Traditional Chinese Medicine from January 2017 to December 2019, including basic information (age, sex, and body mass index [BMI]), CAP measured by FibroScan, ultrasound findings of the liver, gallbladder, spleen, and pancreas, liver function parameters, and blood lipid parameters. TCM syndrome differentiation was performed based on the information obtained by four diagnostic methods, and then the patients were divided into liver depression and spleen deficiency group, damp turbidity and stagnation group, damp-heat accumulation group, intermingled phlegm and blood stasis group, and spleen-kidney deficiency group. The association of CAP, color Doppler ultrasound findings, liver function parameters, blood lipid parameters, and BMI with TCM syndrome was analyzed. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups, and the least significant difference t -test was used for further comparison between two groups; the Kruskal-Wallis H rank sum test with multiple sets of independent samples was used for comparison of non-normally distributed continuous data between multiple groups and further comparison between two groups. The chi-square test or Kruskal-Wallis H rank sum test was used for comparison of categorical data between multiple groups and further comparison between two groups. A Spearman's rank correlation analysis was used to investigate the correlation between CAP and ultrasound grading. Results Among the 364 patients with NAFLD, 169 had the syndrome of liver depression and spleen deficiency, 71 had the syndrome of damp turbidity and stagnation, 60 had the syndrome of damp-heat accumulation, 41 had the syndrome of intermingled phlegm and blood stasis, and 23 had the syndrome of spleen-kidney deficiency. There was a significant difference in CAP value between the different syndrome types ( F =14.839, P < 0.001), and further comparison between two groups showed that the spleen-kidney deficiency group and the intermingled phlegm and blood stasis group had a significantly higher CAP value than the liver depression and spleen deficiency group, the damp turbidity and stagnation group, and the damp-heat accumulation group (all P < 0.05). There was a significant difference in ultrasound grading between the different syndrome types ( χ 2 =22.947, P < 0.001); the liver depression and spleen deficiency group mainly had a mild grade (40.2%), the damp turbidity and stagnation group and the damp-heat accumulation group mainly had a moderate grade (53.5% and 53.3%, respectively), and the intermingled phlegm and blood stasis group and the spleen-kidney deficiency group mainly had a severe grade (68.3% and 43.5%, respectively). CAP was positively correlated with the severity of fatty liver ( r =0.431, P < 0.001). The spleen-kidney deficiency group and the intermingled phlegm and blood stasis group had significantly higher levels of alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transpeptidase, and BMI than the other three groups (all P < 0.001). Conclusion Association is observed between CAP and the TCM syndrome types of NAFLD, and patients with the syndrome of spleen-kidney deficiency and the syndrome of intermingled phlegm and blood stasis have a higher CAP value than those with the other syndrome types. CAP has similar efficiency to color Doppler ultrasound in the diagnosis of NAFLD.

Objective To investigate the association of five noninvasive diagnostic methods for liver cirrhosis, i.e., liver stiffness measurement (LSM) on FibroScan, aspartate aminotransferase-to-platelet ratio index (APRI), fibrosis-4 (FIB-4), gamma-glutamyl transpeptidase-to-platelet ratio (GPR), and red blood cell distribution width-to-platelet ratio (RPR), with traditional Chinese medicine (TCM) syndrome types in patients with compensated hepatitis B cirrhosis. Methods A retrospective analysis was performed for the clinical data of 327 patients who were diagnosed with compensated hepatitis B cirrhosis in The First Affiliated Hospital of Henan University of Chinese Medicine from January 2017 to January 2020, and based on their TCM syndrome type, they were divided into liver depression and spleen deficiency group with 160 patients, liver-gallbladder damp-heat syndrome group with 84 patients, liver-kidney Yin deficiency group with 13 patients, spleen-kidney Yang deficiency group with 5 patients, and blood stasis obstructing the collaterals group with 65 patients. Related data were collected, including clinical data, routine blood test results, liver function, LSM, and color Doppler ultrasound findings of liver, gallbladder, spleen, and pancreas. TCM syndrome differentiation was performed, and the models of APRI, FIB-4, GPR, and RPR were established. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups, and the least significant difference t -test was used for further comparison between two groups; the multiple independent samples Kruskal-Wallis H rank sum test was used for comparison of non-normally distributed continuous data between multiple groups, and the one- way Kruskal-Wallis ANOVA (k-sample) was used for multiple comparison; the binary logistic regression analysis was used to investigate the association between TCM syndrome types and non-invasive diagnosis of liver cirrhosis; the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic capability of five noninvasive methods for predicting TCM syndrome type in compensated hepatitis B cirrhosis. Results The logistic regression analysis showed that in the liver-gallbladder damp-heat syndrome group, aspartate aminotransferase OR =1.981, 95% CI : 1.8225-2.139, P < 0.05), and LSM ( OR =2.002, 95% CI : 1.840-2.160, P < 0.05) were influencing factors for compensated hepatitis B cirrhosis; in the liver depression and spleen deficiency group, portal vein width ( OR =4.402, 95% CI : 4.050-4.754, P < 0.05), LSM ( OR =3.901, 95% CI : 3.589-4.213, P < 0.05), APRI ( OR =1.891, 95% CI : 1.740-2.042, P < 0.05), and FIB-4 ( OR =1.845, 95% CI : 1.697-1.993, P < 0.05) were influencing factors for compensated hepatitis B cirrhosis; in the blood stasis obstructing the collaterals group, LSM ( OR =2.465, 95% CI : 2.268-2.662, P < 0.05), APRI ( OR =1.298, 95% CI : 1.194-1.402, P < 0.05), and FIB-4 ( OR =1.849, 95% CI : 1.701-1.997, P < 0.05) were influencing factors for compensated hepatitis B cirrhosis. The ROC curve analysis showed that LSM and RPR had a significantly better diagnostic value than the other methods in evaluating liver-gallbladder damp-heat syndrome, and LSM and FIB-4 had a significantly better diagnostic value than the other methods in evaluating liver depression and spleen deficiency; all five noninvasive diagnostic methods had a good value in evaluating the syndrome of blood stasis obstructing the collaterals. Conclusion The five noninvasive diagnostic methods have their own advantages in evaluating different syndrome types, which provide a reference for the diagnosis of TCM syndrome types in patients with compensated hepatitis B cirrhosis.