To explore correlations of early contradictory movements with clinical characteristics, risk stratification, and clinical prognosis in patients with acute myocardial infarction (AMI).

This study consecutively enrolled 77 first-onset AMI patients who were hospitalized and diagnosed in our department from June 2022 to April 2024, including 53 males and 24 females, with a mean age of 61.75±11.92 years. All patients underwent culprit-only revascularization after admission and received cardiac magnetic resonance (CMR) imaging within an average of one week after surgery. According to whether there were contradictory movements in myocardial strain, the included patients were divided into contradictory movement group (n=47) and non-contradictory movement group (n=30). All patients were followed up for an average of 7 months to record the occurrence of major adverse cardiovascular events (MACEs).

Patients in the contradictory movement group had significantly increased brain natriuretic peptide levels and neutrophil/lymphocyte ratio, but decreased lymphocyte counts than those in the non-contradictory movement group (P<0.05). There was no significant difference in the number of diseased vessels, culprit vessels, and Gensini score between the contradictory movement group and the non-contradictory movement group (P>0.05). CMR results showed that patients in the contradictory movement group had significantly larger infarct areas visualized by LGE, higher left ventricular end-systolic volume index and microcirculation dysfunction volume than those in the non-contradictory movement group (P<0.05); while the former group had obviously lower left atrial ejection fraction, left ventricular ejection fraction, radial strain of the infarcted segment, circumferential strain of the infarcted segment, longitudinal strain of the infarcted segment, global radial strain, global circumferential strain, and global longitudinal strain than those in the latter group (P<0.05). Furthermore, binary logistic regression analysis showed that neutrophil/lymphocyte ratio, circumferential strain of the infarcted segment, and global longitudinal strain could predict whether patients had contradictory movements independently. In addition, the incidence of MACEs was significantly higher in the contradictory movement group than in the non-contradictory movement group (P<0.05), with contradictory movement being an independent risk factor for MACEs in AMI patients after successful revascularization (HR=2.551).

CMR can facilitate the evaluation of the postoperative cardiac function status of AMI patients from multiple perspectives, which may provide a valuable reference for applying personalized treatment and improving the clinical prognosis of patients.

To establish a method for the identification of nasopharyngeal carcinoma circulating tumor cells based on microconfocal Raman spectroscopy, in order to realize the non-contact and marker-free detection of nasopharyngeal carcinoma circulating tumor cells.

Human T lymphocytic leukemia cell line Jurkat and nasopharyngeal carcinoma cell line Sune1 were cultured in vitro, and single cells were identified and affinity captured by nanomicronic chip technology assembled by EpCAM, CD44, EGFR and vimentin aptamer. The single cells were identified by microconfocal Raman spectroscopy to obtain single cell Raman spectroscopy. Two machine learning algorithms, support vector machine and linear discriminant analysis, were used to construct a classifier to model and analyze single-cell Raman spectra.

Single-cell Raman spectra of 474 Jurkat cells and Sune1 cells were collected. Peak location analysis results showed that the contents of adenine, thymine and guanine in Sune1 cells decreased significantly compared with Jurkat cells. The contents of hydroxyproline, protein and lipids increased significantly, and the differences were statistically significant. Linear discriminant analysis had a high prediction accuracy, which could effectively distinguish the two types of cells, and the prediction accuracy was as high as 98.31%.

Based on microconfocal Raman spectroscopy and machine learning algorithms, this study established a method that may be suitable for the identification of nasopharyngeal carcinoma circulating tumor cells, which has a positive effect on the clinical minimally invasive diagnosis of nasopharyngeal carcinoma.

To investigate the clinical value of predicting Luminal subtype invasive ductal carcinoma (IDC) based on multimodal ultrasound features.

Eighty-five patients with Luminal IDC diagnosed by pathology from June 2021 to December 2023 in Inner Mongolia Autonomous Region People's Hospital were selected, including 38 cases in the Luminal A (LA) group and 47 cases in the Luminal B (LB) group. Differences in conventional ultrasound, elastography and contrast-enhanced ultrasound characteristics of the lesions in the two groups were compared; characteristic parameters with statistically significant differences were subjected to single and multifactorial logistic regression analyses with the LB type, and a logistic regression model was established; and the diagnostic efficacy in predicting the LB type of IDC was analyzed by plotting the ROC curves.

Compared with the LA group, the LB group had a larger maximum diameter of the lesion, percentage of blood-rich type, maximum Young's modulus inside the lesion (E_max), average peritumour Young's modulus (E_{mean shell-2.0}), maximum Young's modulus (E_{max shell-2.0}), percentage of contrast perfusion defect, peak intensity (PI), area under the curve (AUC), and mean transit time; arrival time (AT) and percentage of peritumoural hyperechoic halo were smaller, and all the differences were statistically significant (P<0.05). Multifactorial regression analysis showed that AT and peritumoural hyperechoic halo were independent protective factors for the prediction of LB, and PI, perfusion defect and E_{max shell-2.0} were independent risk factors for the prediction of LB. A logistic regression model was constructed to predict LB-type IDC: Logit (P)=-9.868-2.004×peritumoural hyperechoic halo +2.896×perfusion defect-0.399×AT+0.379×PI +0.030×E_{max shell-2.0}. ROC curve analysis showed that the logistic regression model had the highest diagnostic efficacy, with an area under the curve of 0.945 with a sensitivity and specificity of 89.4% and 89.5%, respectively.

The multimodal ultrasound characteristics of different IDC subtypes have certain differences, and the logistic regression model based on multimodal ultrasound characteristics has value in predicting Luminal subtypes, which can provide an important reference for individualised diagnosis and treatment of IDC of different subtypes.

To evaluate the value of clinically-MRI nomogram model in predicting lymphatic vasculature infiltration of cervical cancer.

A retrospective analysis was performed on 168 patients who underwent preoperative MRI examination and were pathologically confirmed as cervical cancer in the First Affiliated Hospital of Bengbu Medical University from January 2019 to November 2023. Clinical and imaging data of patients were collected and randomly divided into two groups, the training set (n=112) and the validation set (n=56), according to a ratio of 7:3. The clinical independent risk factors associated with lymphatic vascular infiltration of cervical cancer were screened by uni-multivariate Logistic regression analysis. The regions of interest were manually delineated in sagittal position of enhanced sequences on T2WI and T1WI respectively, and the intratumoral, peritumoral and intratumoral + peritumoral imaging features were extracted. The imaging model was constructed by dimensionality reduction of the image features and selection of the optimal features. A nomogram model was constructed by combining clinical predictors and imaging omics scores. The area under ROC curve, calibration curve and decision curve were used to analyze and evaluate the prediction efficiency of the model.

The ratio of neutrophil to lymphocyte count and lymph node metastasis between the two groups were statistically significant (P<0.05). The graph model had the best prediction performance, and the area under the curve was 0.932 (95% CI: 0.862-0.984) and 0.896 (95% CI: 0.803-0.990) respectively, which was significantly higher than that of the tumor.

The Nomogram model established in this study has high diagnostic performance in predicting lymphatic vascular infiltration of cervical cancer, and can provide important guidance for clinical decision-making before surgery.

To investigate differences in basilar artery morphology, plaque distribution, and enhancement patterns between vertebral artery dominance (VAD) and non-VAD patients using high-resolution vessel wall imaging (HR-VWI).

A retrospective analysis was conducted on clinical data and basilar artery morphology and plaque characteristics in 100 patients who underwent HR-MRI at the Second Affiliated Hospital of Bengbu Medical College from June 2022 to March 2024. Utilizing 3D time-of-flight magnetic resonance angiography, VAD group (n=77) and non-VAD group (n=23) were examined. Measurements included vertebral and basilar artery diameters, lengths, curvature direction, and degree. Plaque distribution and enhancement were analyzed using HR-VWI, calculating stenosis degree, remodeling index, and plaque burden.

Clinical data showed no significant differences between the two groups (P>0.05). Significant differences were found in basilar artery curvature direction, degree, plaque distribution, and enhancement (P<0.05). In the VAD group, basilar artery curvature was predominantly rightward, with higher proportions of grade 1 and 3 curvature, while the non-VAD group mainly had grade 0 curvature. Plaque was more often distributed on the ventral wall (P=0.010) and distally (P=0.047) in the VAD group. Grade 2 plaque enhancement was significantly higher in the VAD group compared to the non-VAD group (P<0.05).

In VAD patients, the basilar artery predominantly curves to the right, with a higher proportion of moderate to severe curvature compared to non-VAD patients. Plaques in the basilar artery are more frequently located on the ventral wall and distally, with a more pronounced enhancement degree in VAD patients. Vertebral artery dominance significantly influences the direction and degree of basilar artery curvature, as well as plaque distribution and enhancement.

To systematically analyze the changes of gray matter volume in end-stage renal disease (ESRD) patients prior to first dialysis using voxel- based morphometry, and to explore the relationship between these changes and global cognitive function, executive function and working memory function.

Sixty-two ESRD patients were enrolled at the hospital from February 2022 to January 2024 before their first hemodialysis, alongside 37 healthy controls. High-resolution 3D T1 structural imaging and neuropsychological tests (including assessments of global cognitive function, executive function, and working memory) were conducted. Voxel- based morphometry method was used to analyze differences in gray matter volume between the two groups, and Pearson correlation analysis was performed to examine the relationship between gray matter volume in different brain regions and test results, after adjusting for gender, age, and education level.

Compared with the control group, the gray matter volume in the left postcentral gyrus, bilateral superior temporal gyrus, bilateral precentral gyrus, right temporopolar middle temporal gyrus, left rectus gyrus, left middle cingulate gyrus, bilateral orbital superior frontal gyrus, left middle temporal gyrus, bilateral hippocampus, and left fusiform gyrus were significantly reduced in the ESRD group (P < 0.001, corrected for FWE). In the ESRD group, the volumes of the left postcentral gyrus, left anterior central gyrus, left rectus gyrus, left middle cingulate gyrus, left orbitofrontal gyrus, left middle temporal gyrus, left superior temporal gyrus, and left hippocampus were positively correlated with Montreal cognitive assessment scores (P < 0.05). Conversely, the volumes of the right temporopolar middle temporal gyrus, left middle cingulate gyrus, left fusiform gyrus, and left superior temporal gyrus were negatively correlated with trail making test A scores (P < 0.05). Additionally, the volumes of the left rectus gyrus and the left orbital superior frontal gyrus were negatively correlated with 2-back reaction times (P < 0.05).

There is a general decrease in gray matter volume in ESRD patients, which is closely related to overall cognitive function, executive function, and working memory. These findings can provide imaging markers for assessing cognitive dysfunction in ESRD patients.

To explore the application value of radiomics model based on dual-energy CT to predict the Ki-67 expression level of gastric stromal tumor (GST).

Retrospective analysis of 105 cases of GST who underwent dual-energy CT enhanced scanning and were diagnosed by surgical pathology and immunohistochemistry at the First People's Hospital of Yancheng City from November 2021 to September 2023. All cases were divided into training group (n=74) and test group (n=31) in a 7:3 ratio, and divided into Ki-67 high expression group and Ki-67 low expression group according to the postoperative immunohistochemistry results. General clinical characteristics of all patients were recorded, and conventional CT signs of the tumors were analyzed, quantitative dual-energy CT parameters were measured and calculated on venous phase, and imaging omics features were extracted. The above features were screened using univariate analysis and LASSO algorithm, and Logistic regression was used to establish a conventional CT sign model, a dual-energy CT model, an imaging histology model, and a combined model. The diagnostic efficacy of the models was compared using the ROC curve and AUC. DeLong test was used to compare the differences of each AUC.

The differences in maximum tumor diameter, normalized iodine concentration, K and six imaging omics features between the two groups were statistically significant (P < 0.05). The combined model was the best model with the highest predictive efficacy. The differences between the combined model and the other three models were statistically significant (P < 0.05), while the differences between the other models were not statistically significant (P > 0.05).

The radiomics model based on dual-energy CT has clinical value in predicting Ki-67 expression levels in GST.

To investigate the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI nomogram in preoperative prediction of the Ki-67 expression status in hepatocellular carcinoma (HCC).

A retrospective analysis was conducted on 122 HCC patients diagnosed pathologically from January 2022 to May 2024 at our hospital. Patients were divided into high Ki-67 expression (n=71) and low Ki-67 expression (n=51) groups based on postoperative immunohistochemical cell proliferation levels (Ki-67 index). The patients were then randomly allocated to a training set (n=85) and a validation set (n=37) in proportion. Differences in imaging parameters [tumor diameter, margin, pseudocapsule, apparent diffusion coefficient (ADC) of the tumor area, signal intensity ratio (SIR) of the hepatobiliary phase to normal liver parenchyma, and peritumoral hypointensity], alpha fetoprotein concentration, and tumor differentiation degree between the two groups were analyzed. The most valuable parameters were selected using LASSO regression, and a predictive model was established through multivariate logistic regression analysis. The performance of the model was evaluated using ROC curves, calibration curves, and decision curves.

In both the training and validation sets, the high Ki-67 expression group had higher alpha fetoprotein levels (≥20 ng/mL), more irregular tumor margins, and more frequent peritumoral hypointensity compared to the low Ki-67 expression group. The ADC values and SIR were lower in the high Ki-67 expression group, with statistically significant differences (P < 0.05). However, there were no significant differences in tumor diameter and presence of pseudocapsules (P > 0.05). LASSO regression identified three most valuable parameters (tumor ADC, SIR, and tumor differentiation degree). Multivariate logistic regression analysis showed that ADC and SIR were influencing factors for Ki-67 expression. Based on these parameters, a Nomogram model was established. The calibration curve of the model fit well with the ideal curve, and the area under the ROC curve was 0.827, with a sensitivity of 81.2% and specificity of 80%.

Gd- EOB- DTPA enhanced MRI nomogram can effectively predict the Ki-67 expression status in HCC preoperatively, facilitating risk stratification and personalized treatment for HCC patients.

To explore the role of autophagy-related genes in the development of renal cell carcinoma and construct a prognostic model for renal cell carcinoma patients based on autophagy-related genes and CT imaging characteristics.

The relevant data of patients with renal clear cell carcinoma were downloaded from the TCGA database. Combined with the autophagy-related gene set, the molecular subtypes of renal carcinoma based on autophagy-related genes and the construction of an individualized autophagy scoring system were explored; by analyzing the CT data of patients with renal cell carcinoma in the TCIA database, the autophagy-related gene risk model and the imaging omics model were constructed to predict the prognosis of patients with renal cancer.

Renal clear cell carcinoma was divided into two new molecular subtypes. Patients with poor prognosis are accompanied by a large number of immune cell infiltration (P < 0.05), and have higher clinical grades and more advanced stages (P < 0.05). Patients with high autophagy scores have significantly increased tumor gene mutation frequencies, larger tumor volumes, more advanced stages, and worse prognoses (P < 0.05). Radiomics combined with autophagy-related gene model can accurately predict the prognosis of patients with renal cancer (AUC: 0.922, 95% CI: 0.852-0.993).

Renal cancer patients with high autophagy scores have a poor prognosis. Radiomics combined with autophagy-related gene model has good prospects in predicting the prognosis of patients with renal cancer.

To explore the application value of Deep learning image reconstruction (DLIR) in ultra-low-dose chest CT imaging.

A total of 66 patients with chest CT scans in the Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine from March to April 2024 were collected.All patients were used GE Revolution CT scans, the fixed tube voltage was 100 kVp, and the first with conventional radiation dose with noise index (NI) =15, and filtered back projection reconstructed images; the second was scanned with ultra-low-dose with NI= 45, and medium and high intensity deep learning image reconstruction (DLIR- M、DLIR- H) were compared. The CT value and standard deviation (SD) of the left upper pulmonary hypovascular region were measured on three reconstructed images, SD represented noise, and the signal-to-noise ratio (SNR) was calculated. Subjective evaluation of 5-point method was used by two radiologists. The objective value and subjective score of three reconstructed images were compared.

The NI=45 group reducted the radiation dose by 93.7%. The intensity of DLIR affected the objective value under ultra-low-dose condition, DLIR-H resulted in ower noise and higher SNR than DLIR-M (P < 0.05). Two physicians evaluated the image quality consistency of the three reconstructed images (Kappa= 0.952, 0.846, 0.903). The image quality scores, pass rates and satisfaction rates had no significant differences between three groups (P > 0.05).

Under the condition of reducing the radiation dose by 93.7%, DLIR can obtain images of the lung that are close to the conventional radiation dose, and the radiation dose for lung disease screening has been further reduced.

To explore the feasibility and clinical application value of MAGiC technique in the diagnosis of Sjogren's syndrome (SS).

A total of thirty-six SS patients from the Affiliated Hospital of Yangzhou University from February to October 2023 were selected as the SS group, and thirty-eight healthy volunteers from the same period were selected as the control group (HC group). T1WI, T2WI and MAGiC scanning were performed on bilateral parotid glands of the two groups, respectively. After post-processing of MAGiC images, three sets of quantitative sequences T1, T2, proton density (PD) mapping were generated. The obtained T1, T2 and PD values of the bilateral parotid glands were measured by two physicians, and intra-group correlation coefficient (ICC) was used to evaluate inter-observer and intra-observer consistency; the correlation of quan titative values of MAGiC in bilateral parotid glands was compared by Pearson or Spearman test; and the independent samples t test or Wilcoxon rank sum test was used to analysis the differences in quantitative values of MAGiC between the bilateral parotid gland SS group and HC group. ROC curves were plotted for counting data with statistically significant differences in MAGiC quantitative values, and Z- test was used to compare the area under the curve.

The results of consistency analysis showed that both T2 and PD values of the bilateral parotid gland had ICC > 0.800, while T1 values of the bilateral parotid gland were lower (ICC > 0.700). Correlation analysis showed that the quantitative values of MAGiC were highly correlated between the two groups (r > 0.8). The analysis results between the two groups showed that T1 and T2 values were statistically significant (P < 0.001), while PD values were not statistically significant (P > 0.05). The accuracy (84.35%) and area under the curve (0.88) of the combination of MAGiC T1 and T2 values were the highest, and the difference with T1 values was statistically significant (P=0.026).

MAGiC technology can quantitatively evaluate SS parotid gland lesions, and the combined application of multiple quantitative values of MAGIC technology can improve the diagnostic accuracy.

To analyze and summarize the superior sequences of MRI examination for acute infection around the rectum and anorectal canal, give priority to examination, and thus improve the success rate of examination.

The MRI manifestations of 75 patients with acute infection around the rectum and anorectal canal were retrospectively analyzed. The diagnostic rates of each sequence or sequence combination were compared with those of surgery. The priority sequences and sequence combinations that could complete the diagnosis were counted, and their diagnostic values were summarized.

In 40 cases (53.3%), only one sequence of oblique axial fat- suppressed fast spin echo (FSE) T2WI was needed to complete the diagnosis. In 33 cases (40%), two sequences of oblique axial fat-suppressed FSE T2WI sequence and oblique axial non-fat-suppressed FSE T2WI sequence or oblique axial non-fat-suppressed FSE T1WI were needed to complete the diagnosis. In 1 case (1.3%), oblique axial fat-suppressed FSE T2WI sequence and oblique coronal fat-suppressed FSE T2WI sequence 3D reconstruction was needed to complete the diagnosis. In 1 case (1.3%), oblique axial fat- suppressed FSE T2WI sequence and oblique axial diffusion- weighted imaging sequence needed to complete the diagnosis.

The oblique axial fat-suppressed FSE T2WI sequence is the most basic sequence for acute infection around the rectum and anal canal. When the location of the lesion is unclear, it is necessary to add the oblique axial non-fat-suppressed FSE T2WI sequence or the oblique axial non-fat-suppressed FSE T1WI sequence, which can complete the diagnosis of most acute infections in a short time, with a total scanning time of 6-7 min. A small number of patients with complex fistula morphology need to scan the oblique coronal fat-suppressed FSE T2WI sequence and parallel 3D reconstruction. In individual cases where the internal opening is not clearly displayed, the diffusion-weighted imaging sequence can be tried.

To investigate the value of echocardiography combined with serum angiotensin-converting enzyme (ACE) in the diagnosis of gestational hypertension (HIP) and its correlation with cardiac function.

Fifty patients with HIP who were treated in our hospital from March 2021 to March 2024 were included as the study group, and another 50 healthy subjects who underwent physical examination in our hospital during the same period were selected as the control group. The echocardiographic results, serum ACE levels and cardiac function indexes of HIP patients in the study group and the control group were determined. The correlation between echocardiography, serum ACE and cardiac function index was analyzed by Pearson. ROC curve analysis of echocardiography, serum ACE alone and combined diagnostic value of HIP.

The level of early diastolic filling peak velocity/late diastolic filling peak velocity (E/A) and early diastolic rapid filling fraction (RFF) in the study group were lower than those in the control group (P < 0.05), left ventricular ejection fraction (LVEF), ACE level, troponin T (cTnT) level and plasma brain natriuretic peptide (BNP) level were higher than those of control group (P < 0.05); Pearson analysis showed that E/A and RFF in HIP patients were negatively correlated with cTnT and BNP (P < 0.05), while LVEF and ACE were positively correlated with cTnT and BNP (P < 0.05). ROC curve analysis showed that the AUC value of ACE in diagnosis of gestational hypertension was 0.619, and the AUC value of E/A, RFF, LVEF and the combination of the four patients in diagnosis of gestational hypertension was 0.700, 0.706, 0.793, 0.880, respectively.

Echocardiography combined with serum ACE level can be used as a potential biological index to evaluate cardiac function in HIP patients.

To employ the advanced four-dimensional automated right ventricular quantification (4D Auto RV) technique as a tool for evaluating the early postoperative alterations in RV volume and function among patients who have undergone lung resection surgery.

A total of 51 patients who underwent thoracoscopic lung resection for pulmonary nodules in the First Affiliated Hospital of University of Science and Technology of China from January 2021 to December 2022 were selected, including 25 patients with simple segmental or wedge resection and 26 patients with lobectomy. Echocardiography was performed before and within 1 month after lung resection, and the change a in right ventricular volume and function after lung resection were assessed using the 4D Auto RV technique. Right ventricular volume parameters included end- diastolic volume (EDV), end- systolic volume (ESV), and stroke volume (SV). Right ventricular function parameters included right ventricular ejection fraction (RVEF), tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC), and right ventricular longitudinal strain values [global longitudinal strain (RV-GPLS), free wall longitudinal strain (RV-FWPLS)].

Following early stages post- thoracoscopic lung resection, there was a significant increase in right ventricular volume, manifesting as statistically significant changes in both EDV and ESV before and after surgery (P < 0.05). However, the change in stroke volume pre- and post- surgery did not reach statistical significance (P > 0.05). Upon further analysis of right ventricular functional parameters, there were significant statistical changes in FAC, RV-GPLS, and RV- FWPLS before and after surgery (P < 0.05), indicating that these parameters were more sensitive to the alterations in right ventricular function induced by the surgery. The changes in RVEF and TAPSE did not achieve statistical significance pre- and post- surgery (P > 0.05). The differences in post-operative right ventricular volume and functional parameter changes between patients undergoing either limited resection such as segmentectomy/wedge resection versus lobectomy were not statistically significant (P > 0.05).

In the phase following lung resection, despite the possible absence of overt clinical symptoms, the utilization of 4D Auto RV technology has revealed a phenomenon of right ventricular dilation, indicative of early onset of mild right ventricular dysfunction. This dysfunction manifests as decrements in FAC, RV-GPLS and RV-FWPLS.