- 中国科技核心期刊（中国科技论文统计源期刊）
- 《中国学术期刊（光盘版）》收录期刊
- 《中国核心期刊（遴选）数据库》收录期刊
- 中国学术期刊综合评价数据库（CAJCED）统计源期刊
- 美国《乌利希期刊指南》（Ulrichsweb）来源期刊
Objective To investigate the changes in the expression of cannabinoid type 1 receptor (CB1R) in the brains of fear memory model mice using [2-(2-chlorophenyl)-3-{4-[(2-18F-fluoroethyl)oxy]phenyl}-5,6,7,8-tetrahydrooxepino[3,2-c]pyrazol-8-yl]amino] methanoic acid methyl ester ([18F]JR-1001) as a tracer through positron emission tomography (PET). Methods [18F]JR-1001 was automatically prepared using a fused automatic synthesizer and subjected to quality control tests. Fear memory model mice were established according to established modeling protocols. In vitro stability tests were conducted, and quantitative analysis of brain region uptake was performed using MicroPET/CT imaging and a gamma counter. Results The synthesized compound was confirmed to be the target product and met medical usage requirements. Successful modeling was confirmed based on the testing methods for fear memory model mice. In vitro stability data indicated that [18F]JR-1001 expressed stably in vivo and suggested hepatic metabolism. MicroPET/CT imaging and gamma counter data revealed significant differences in the uptake of [18F]JR-1001 between experimental groups (fear memory model mice) and control groups (normal C57 mice) in various brain regions (P<0.05). Notably, the uptake values of [18F]JR-1001 in multiple brain regions of fear memory model mice were significantly higher than those in normal C57 mice. Conclusion The synthesized product was identified as [18F]JR-1001, and its quality control and in vitro stability tests met the requirements for medical research. Furthermore, data obtained from MicroPET/CT imaging and gamma counters have provided new insights and methods for the early diagnosis and treatment of fear memory disorders using PET technology targeting CB1R. Additionally, the findings of this study not only validate the correlation between fear memory and CB1R expression but also uncover the pivotal role of CB1R in the formation of fear memory, offering significant references for research in related fields.
Objective To investigate the changes in brain functional network before and after acupuncture in patients with primary dysmenorrhea (PDM) using resting-state functional MRI (rs-fMRI) graph theory and edge analysis. Methods Thirty-five women with PDM were enrolled in this study, and the patients with PDM were treated with acupuncture 7 days before menstruation until the onset of menstruation, taking Guanyuan point and bilateral Sanyinjiao for 30 min per day. The data of visual analogue score (VAS), the cox menstrual symptom score (CMSS), self-rating anxiety score (SAS), self-rating depression score (SDS) and brain fMRI of PDM patients before and after acupuncture and moxibustion were collected. GRETNA software was used to analyze the brain function data of PDM patients before and after acupuncture and moxibustion by graph theory and edge analysis, and correlated with the clinical score. Results After acupuncture, the menstrual VAS, CMSS, SAS, and SDS were reduced in PDM patients (P<0.05). The global efficiency of brain networks increases, while the mean clustering coefficient and average path length decrease (P<0.05). Functional connectivity (FC) was enhanced between the right insula and the right middle frontal gyrus, and between the left rolandic operculum and the right superior temporal gyrus. between the right precentral gyrus and bilateral thalamus and the right putamen, between the right postcentral gyrus and the left middle frontal gyrus and the left supplementary motor area, between the right anterior cingulate and the left anterior cingulate and right posterior cingulate, between the left precentral gyrus and the left thalamus, between the right posterior cingulate gyrus and the left middle temporal gyrus, and between the left postcentral gyrus and the left thalamus with diminished FC (P<0.001). the change in FC between the left precentral gyrus and the left thalamus was positively correlated with the change in SDS (r=0.516, P=0.002). Conclusion The present acupuncture therapy had good efficacy. Acupuncture and moxibustion may improve the integration efficiency of pain related information in the brain network of PDM patients, and inhibit the transmission efficiency of pain related information. The neural pathways involved in the onset of acupuncture and moxibustion may be the thalamus sensorimotor cortex circuit, cingulate cortex circuit, and salience network. The three main lines jointly shoulder the tasks of analgesia, emotional relief, and painful attention transfer.
Objective To develop a diagnostic prediction model for coronary artery disease (CAD) based on 99mTc-methoxyisobutylisonitrile (MIBI) gated myocardial perfusion imaging (GMPI) and clinical features, and to perform internal validation to assess its utility in predicting the risk of CAD. Methods A retrospective analysis was conducted to collect GMPI parameters and clinical characteristics of 116 patients suspected of having CAD who underwent 99mTc-MIBI SPECT/CT gated myocardial resting perfusion imaging at Zhujiang Hospital of Southern Medical University from January 2023 to November 2023. Among the patients, 77 were male and 39 were female, with an age range of 23-93 (62.66±12.22) years old. Predictive factors for CAD were identified using stepwise regression and multivariate logistic regression analysis, and a diagnostic prediction model was constructed and presented in the form of a nomogram. The predictive performance of the model was evaluated by calculating the area under the ROC curve (AUC). Internal validation was performed using k-fold cross-validation. The calibration and clinical utility of the model were assessed through calibration curves, decision curve analysis (DCA), and clinical impact curves. Results Stepwise regression analysis identified left ventricular end-diastolic volume, peak filling rate, histogram skewness, and histogram kurtosis among the GMPI parameters as effective diagnostic predictors of CAD. Incorporating clinical characteristics (gender, smoking history, cardiac troponin, hypertension), a predictive model was constructed with an AUC of 0.731 (95%CI: 0.636-0.825), specificity of 0.735, and sensitivity of 0.642. The average AUC from k-fold cross-validation was 0.699. Calibration curves demonstrated good calibration of the CAD diagnostic prediction model, while decision curve analysis and clinical impact curves indicated its high clinical utility. Conclusion The diagnostic prediction model based on 99mTc-MIBI GMPI parameters and clinical characteristics (gender, smoker, cardiac troponin, hypertension) demonstrates good performance in assessing patients with CAD, offering potential for developing more personalized diagnostic strategies for CAD.
Objective To investigate the value of CT imaging histology combined with clinical features model for preoperative prediction of Ki-67 expression level in thymic epithelial tumors (TET). Methods A retrospective analysis of 171 patients with TET confirmed by pathology and immunohistochemistry at the Third Clinical Medical College of Xinjiang Medical University from January 2015 to June 2024 were randomly divided into a training group (n=120) and a testing group (n=51) according to a 7:3 ratio. Logistic regression analysis was performed for all clinical risk factors to create a clinical model. ITK-SNAP was used to outline the regions of interest in the enhanced chest CT thin-layer images of patients, Pyradiomics was used to extract the image histological features, Mann-Whitney U test and LASSO regression were used for feature screening, binary logistic regression was used to construct the prediction model, and the best model was visualized using a column-line diagram. Results The area under the curve of the clinical model, the imaging histology model, and the combined clinical-imaging histology model were 0.670, 0.867, and 0.890 in the training group, and 0.632, 0.834, and 0.851 in the test group, respectively; The combined clinical-imaging histology model had the best predictive efficacy among the three groups of models. Conclusion The model constructed based on enhanced CT imaging histologic features and clinical features has some value in predicting TET Ki-67 expression level before surgery, and the combined clinical-imaging histologic model is better than the clinical model and the single model of imaging histologic model.
Objective To investigate the predictors for differential diagnosis of benign and malignant thyroid nodules and construct quantitative model based on ultrasound imaging features to provide more reference for clinical diagnosis and treatment plan formulation. Methods A total of 375 patients for 453 nodules with C-TIRADS 3-5 grade thyroid nodules who received surgical treatment in our hospital from January 2022 to December 2023 were retrospectively included and were divided into benign group and malignant group according to the characteristics of nodules identified by histomatological examination. Univariate and multivariate analysis of predictive factors for differential diagnosis of benign and malignant thyroid nodules. A quantitative prediction model based on ultrasound imaging features was constructed and prediction efficiency was analyzed. Results Among the 453 thyroid nodules, 257 nodules were diagnosed as malignant and 196 were benign based on pathological examination, with a malignant detection rate of 56.73%. The results of univariate analysis showed that the maximum diameter of the lesion, the texture of the lesion echo, the type of lesion echo, the structure of the lesion, the location of the lesion, the local strong echo of the lesion, the edge of the lesion, the thickness of the lesion halo, the echo characteristics behind the lesion, and the lesion elasticity score may all be related to the differential diagnosis of benign and malignant thyroid nodules (P<0.05). The results of multivariate analysis confirmed that lesion echo, local strong echo, lesion edge, posterior echo characteristics, lesion elasticity score and lesion acoustic halo thickness were all independent predictive factors for the differential diagnosis of benign and malignant thyroid nodules (P<0.05). The area under the ROC curve is 0.741, 0.639, 0.747, 0.544, 0.605, 0.796, the predictive model constructed by combining the above factors had an area under the ROC curve of 0.952, a sensitivity of 91.05%, a specificity of 88.78%, and a Yoden index of 79.83%. Conclusion Various ultrasound imaging indexes, including lesion echoes, localized strong echoes of the lesion, lesion margins, posterior echogenic features of the lesion, elasticity score of the lesion, and thickness of the acoustic halo of the lesion, can guide the differential diagnosis of benign and malignant thyroid nodules, and the quantitative model constructed by using the above six imaging features has a higher reliability and accuracy in the prediction of the nature of thyroid nodules, which can provide assistance in clinical prevention and treatment of thyroid cancer.
Objective To assess the diagnostic efficacy of conventional ultrasound and contrast-enhanced ultrasound in distinguishing between cervical tuberculous lymphadenitis and lymphoma. Methods A retrospective analysis was performed on the imaging characteristics of 50 confirmed cases of cervical tuberculous lymphadenitis and 31 cases of lymphoma, utilizing both imaging techniques at Nanjing Integrated Traditional Chinese and Western Medicine Hospital Affilicated with Nanjing University of Chinese Medicine from January 2020 to December 2022. The diagnostic value of various indicators for distinguishing between the two conditions and the diagnostic performance of the two imaging modalities were analyzed. Results The results indicated that conventional ultrasound detected smaller maximum long and short diameter in lymph nodes of the tuberculosis group compared to the lymphoma group, with a prevalence of cystic echoes and peripheral blood flow. Internal linear or reticular echoes and mixed blood flow were less common in lymph nodes in the tuberculosis group compared to the lymphoma group, with statistically significant differences (P<0.05). Contrast-enhanced ultrasound revealed that lymph nodes in the tuberculosis group demonstrated centripetal, heterogeneous enhancement,with areas of non-enhancement, while those in the lymphoma group exhibited non-centripetal, homogeneous enhancement, without areas of non-enhancement, with statistically significant differences (P<0.05). The sensitivity, specificity, and accuracy of contrast-enhanced ultrasound and the two imaging modalities combined in diagnosing tuberculosis were 90.0%、80.6%、86.4%,94.0%、87.1%、91.4%, respectively, which were higher than those of conventional ultrasound at 80.0%, 71.0% and 76.5%. Conclusion The sonographic characteristics of patients with cervical tuberculous lymphadenitis and lymphoma show significant similarities and differences based on conventional ultrasound and contrast-enhanced ultrasound. The combined application of both has higher diagnostic and differential diagnostic value.
Objective To investigate the correlation between left ventricular remodeling parameters and heart rate variability (HRV), as well as the correlation between left ventricular remodeling parameters and ventricular arrhythmia (VA) in patients with dilated cardiomyopathy (DCM). ors included standard deviation of all NN intervals (SDNN) , standard deviation of the averages of NN intervals in all 5 min se gments (SDANN), the square root of the mean of the sum of the squares of differences between adjacent NN intervals (rMSSD), Methods Clinical data, cardiac magnetic resonance (CMR) data and 24 h dynamic electrocardiogram data were collected from 44 patients diagnosed with dilated cardiomyopathy at Shunde Hospital of Southern Medical University from July 2019 to March 2024 as well as 23 healthy controls. Left ventricular remodeling parameters, degree of myocardial fibrosis, and HRV indicators of two groups were obtained and the differences of those parameters between two groups were analyzed. Left ventricular remodeling parameters included left ventricular ejection fraction (LVEF), left ventricular end-diastolic volume index (LVEDVI), left ventricular end-systolic volume index (LVESVI), left ventricular stroke volume index (LVSVI), cardiac index (CI), and left ventricular myocardial mass index (LVMMI). HRV indicat the proportion of interval differences with successive NN intervals greater than 50 ms to all NN interval differences (pNN50), low frequency power (LF), high frequency power (HF), and low frequency power to high frequency power ratio (LF/HF). DCM patients were classified into normal HRV (SDNN≥100) and reduced HRV (SDNN<100) subgroups to compare the differences of left ventricular remodeling indicators. Additionally, based on the Lown classification of premature ventricular contractions, DCM patients were divided into low-risk VA and high-risk VA subgroups to explore related risk factors for the occurrence of high-risk VA. Results The DCM group had significantly lower LVEF, LVSVI and CI compared to controls, while LVEDVI, LVESVI and LVMMI were higher, with 91% of patients in the DCM group exhibiting myocardial fibrosis(P<0.05). HRV indicators, including SDNN, SDANN, LF, HF and LF/HF, were significantly lower in the DCM group. In the reduced HRV subgroup, LVEF was lower, and LVESVI and LVMMI were higher compared to the normal HRV subgroup (P<0.05) . Besides, the high-risk VA subgroup displayed more severe myocardial fibrosis than the low-risk group (P<0.05).Logistic regression analysis showed that the degree of myocardial fibrosis is an independent risk factor for the occurrence of high-risk VA. Conclusion Patients with DCM exhibit left ventricular remodeling and varying degrees of HRV reduction, of which left ventricular remodeling and impaired autonomic nerve function are correlated, with myocardial fibrosis serving as an independent risk factor for high-risk VA. CMR examination is crucial for risk stratification, aiding in early intervention and treatment.
Objective To assess the postnatal outcomes of fetuses diagnosed with large artery dysfunction but ultimately without developing coarctation of the aorta (CoA). Methods A total of 275 cases of prenatal diagnosis of aorto-pulmonary imbalance from January 2019 to March 2023 were extracted from two fetal prenatal ultrasound diagnostic centers of Anhui Provincial Hospital and the First Affiliated Hospital of Anhui Medical University. According to the postpartum follow-up, 93 cases (34%) were diagnosed with CoA as the CoA group. The non-CoA group included 182 patients (66%) without CoA. Another 149 cases of normal pregnancy were selected as the normal group. The prenatal data, postpartum follow-up and fetal survival curves of the three groups were analyzed to explore the possible influencing factors of postpartum outcomes. Results In the non-CoA group, after eliminating the fetuses with combined intracardiac or extracardiac malformations, the prognosis of fetuses with simple aortic disproportion was favorable, and there was no statistically significant difference in the long-term survival rate compared with normal fetuses (P>0.05). The same was true for the CoA group compared with the non-CoA group (P>0.05), with better long-term survival. The combination of intracardiac and extracardiac malformations was an influencing factor for the poor postnatal prognosis of fetuses with aortic disproportion. Compared with the normal group, infants with bicuspid aortic valve had a smaller aortic annulus and a faster blood flow velocity at the aortic valve orifice, and the differences were statistically significant (P<0.05). Conclusion The prognosis of fetuses prenatally diagnosed with large artery disorders is closely related to the combined intracardiac and extracardiac malformations. The prognosis of fetuses with isolated aorta-pulmonary incoordination is good. Long-term follow-up is recommended for infants with congenital bicuspid aortic valves.
Objective To explore the diagnostic value of ovarian adnexal imaging report and data system (O-RADS) and gynecological imaging report and data system (GI-RADS) ultrasound classification in ovarian adnexal tumors. Methods A retrospective analysis was conducted on the ultrasound image data of 150 patients with ovarian adnexal tumors who underwent surgery and were confirmed by pathology in our hospital from January 2021 to October 2023. All ultrasound image features of the tumors were evaluated, and O-RADS and GI-RADS classifications were performed. The postoperative pathological results were used as the gold standard to draw ROC curves for the two classification methods and analyze their diagnostic efficacy. Results Out of 150 cases of ovarian adnexal tumors, 115 were benign and 35 were malignant; The diagnostic threshold for GI-RADS classification is GI-RADS 4b, with diagnostic sensitivity, specificity, accuracy, AUC of 71.43%, 90.43%, 86.00%, 0.904, respectively. The diagnostic threshold for O-RADS classification is O-RADS class 5; The diagnostic sensitivity, specificity, accuracy, AUC were 71.43%, 98.26%, 92.00%, 0.934, respectively. Compared with GI-RADS, O-RADS had slightly higher diagnostic accuracy and AUC, but the difference was not statistically significant (P>0.05). O-RADS had higher diagnostic specificity than GI-RADS, and the difference was statistically significant (P<0.05). Conclusion Ultrasound O-RADS and GI-RADS classification have good diagnostic value for both benign and malignant ovarian adnexal tumors, with O-RADS having higher specificity.
Objective To explore the relationship between regional leptomeningeal collateral (rLMC) scoring assessed via three-dimensional time of flight magnetic resonance angiography (3D TOF MRA), arterial transit artifact (ATA) scoring obtained from three-dimensional arterial spin labeling (3D-ASL) imaging sequences, and cognitive impairment. Methods A retrospective analysis was conducted on 48 patients who underwent brain imaging, including T1WI, T2WI, T2 FLAIR, 3D TOF MRA and 3D-ASL at Xiangya Hospital, Central South University, from January 2018 to October 2023. The rLMC and ATA scores were used to evaluate the status of leptomeningeal collaterals, while the patients' activities of daily living (ADL) scores served as reference indicators for assessing cognitive function. Statistical analyses were performed to evaluate the relationships among the three scores. Results There was a statistically significant difference in ADL scores among different rLMC grading groups (P<0.05). There was a significant difference between the ATA and ADL scores (P<0.05). Spearman's correlation coefficient analysis demonstrated a significant positive correlation between ATA and ADL scores (P<0.05). However, no significant difference was found between rLMC and ATA scores based on variance analysis (P>0.05). Conclusion Both rLMC and ATA scores can serve as important imaging indicators for assessing brain function impairment. A well-developed collateral circulation can have a positive impact on the patient's brain function. In particular, changes in secondary meningeal collateral circulation can be used to predict or evaluate the patient's brain function,with the aim of developing personalized treatment plans in clinical practice.
Objective To develop and validate an MRI radiomics nomogram model for the accurate preoperative prediction of lymph node metastasis in patients with cervical squamous cell carcinoma. Methods The clinical, pathological and imaging data from patients diagnosed with cervical squamous cell carcinoma at the First Affiliated Hospital of Bengbu Medical College from December 2018 to November 2021 were retrospectively collected. All patients were randomly allocated into a training cohort (n=151) and a validation cohort (n=65) following a 7:3 ratio. Within the training cohort, sagittal T2WI, T1WI and transverse diffusion-weighted images were selected. Regions of interest were delineated at the margins of the largest lesions to extract imaging features. The LASSO algorithm was employed to construct the radiomics score. Multivariate logistic regression analysis identified FIGO stage, squamous cell carcinoma associated antigen levels, and lymph node short-axis diameter as independent risk factors. An MRI radiomics nomogram model was developed by integrating radiomics scores with clinical parameters, and this nomogram model was validated using an independent validation cohort. The area under the curve (AUC) was utilized to assess the predictive performance of the model. Calibration curves and decision curves were employed to evaluate the clinical utility of the nomogram model. Results The nomogram model incorporating clinical parameters and radiomics scores (AUC=0.912) demonstrated superior diagnostic efficacy compared to the clinical feature model (AUC=0.872) and the radiomics model alone (AUC=0.777). Conclusion The integration of MRI radiomics with clinical parameters into a nomogram model represents a simple, effective, and reliable approach for predicting lymph node metastasis in cervical squamous cell carcinoma.
Objective To explore the effects of tenofovir (TAF) on portal hypertension, plasma endothelin-1 (ET-1) and the incidence of cirrhosis-derived complications, for patients with hepatitis B-related cirrhosis who had previously been treated with lamivudine (LAM) combined with adefovir dipivoxil (ADV). Methods A total of 100 patients were enrolled into the group of "switching from LAM+ADV to TAF" and were treated with TAF and underwent a follow-up for 24 months in Zhongshan Chen Xinghai Hospital of Integrated Traditional Chinese and Western Medicine from January 2021 to January 2023. The liver function, alpha-fetoprotein (AFP) and viral index, portal vena-related parameters, abdominal ultrasound, renal function, ET-1, and liver cirrhosis-derived complications were observed and compared at the following 5 time points: before enrollment (T1), at the end of the 6th month (T2), at the end of the 12th month (T3), at the end of the 18th month (T4), and at the end of the 24th month (T5), respectively. Results TAF was found to significantly down-regulate the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), glutamyl transpeptides (GGT), total bilirubin (TBIL), hepatitis B surface antigen (HBsAg), and hepatitis B virus DNA (HBV-DNA) in patients with posthepatitis B-related cirrhosis. The levels of serum albumin (ALB) was significantly increased after TAF treatment (P<0.05). There were significant differences in portal vein diameter, portal vein pressure, portal vein thrombosis, fatty liver, and splenomegalgia among the time span from T1 to T5, after TAF treatment (P<0.05). There were no significant differences in blood urea, creatinine or uric acid after TAF treatment when compared with pre-treatment (P>0.05). However, changes of ET-1 from T1 to T5 were significantly different (P=0.012), as well as the incidence of gastrointestinal bleeding (P=0.042). Correlation analysis showed that ET-1 was significantly positively correlated with portal vein diameter, portal vein pressure, portal vein thrombosis, and the incidence of gastrointestinal bleeding (P<0.05). Conclusion Switching from (LAM+ADV) to TAF can significantly down-regulate the levels of ET-1 and improve liver function and thus reduce viral loads in patients with posthepatitis B cirrhosis, and improve portal hypertension and its complications, presenting better indexes in the 24th month than those of 12th month, and TAF did not present significant side effects on renal function.
Objective To explore the value of multimodal echocardiographic assessment of right ventricular function in children with Mycoplasma pneumoniae pneumonia (MPP). Methods Forty-five children in the acute phase of MPP (MPP group) and fifty healthy children in the same period (control group) who attended the Third Affiliated Hospital of Zhengzhou University from January to March 2024 were selected. Two-dimensional speckle tracking (STI) technique was used to ascertain right ventricular strain parameters and TAD parameters, and different ultrasound assessment methods such as conventional 2D echocardiography, spectral Doppler, and tissue Doppler imaging (TDI) were applied for right ventricular function examination. Compare the differences in the right ventricular diameter parameters (RVT, RVL), tricuspid valve spectral Doppler parameters (TVE, TVA, TVE/A), pulmonary valve spectral Doppler parameters (PVAT, PV), tricuspid annular tissue Doppler parameters (s, e, a, IVCT, ET, IVRT, TDI-Tei index), right ventricular longitudinal strain parameters (RV4CSL, RVFWSL)with TAD parameters (T1, T2, Tm%, Tm) between two groups of children. Correlation of strain parameters and TAD parameters with myocardiac enzyme spectrum results in the MPP group using Pearson's correlation analysis, respectively. Results TVE and TVA increased, ET shortened, and TDI-Tei index increased in the MPP group compared with the control group (P<0.05). However, there were no significant differences in TVE/A and tricuspid annulus e/a compared with the control group (P>0.05); The right ventricular longitudinal strain parameters (RV4CSL, RVFWSL) and TAD parameters (T1, T2, Tm% ,Tm) were reduced compared with the control group (P<0.05); The strain and TAD parameters in the MPP group were negatively correlated with myocardiac enzyme spectrum results, with better correlations between Tm% and LDH, RV4CSL and LDH, Tm% and CK-MB, Tm% and CK, RV4CSL and CK-MB (r=-0.706, -0.658,-0.664,-0.654,-0.636, P<0.05). Conclusion In children with MPP, the overall function of the right ventricle was impaired, with impaired systolic function and no effect on diastolic function. The measurement of right ventricular strain parameters and TAD parameters by STI technique is helpful for early detection and quantitative evaluation of right ventricular myocardial systolic dysfunction in MPP. The higher the myocardiac enzyme spectrum, the lower the right ventricular strain parameters and TAD parameters, and the more severe the subclinical myocardial damage of right ventricle in MPP children.
Objective To investigate the diagnostic value of spectral CT quantitative enhancement parameters arterial enhancement fraction (AEF) and extracellular volume (ECV) in the differential diagnosis of renal cell carcinoma and renal angiomyolipoma. Methods The spectral base data of 54 patients with renal cell carcinoma and renal angiomyolipoma who underwent three-phase enhanced spectral CT in the Department of Radiology, Hainan Hospital of General Hospital of Chinese PLA from January 2021 to May 2024 were analyzed. The arterial enhancement fraction (AEF) map and extracellular volume (ECV) map were generated, the AEF and ECV values of tumor and contralateral normal renal cortex were measured respectively. The independent sample t test and Mann-Whitney U test were applied for inter-group comparisons, and ROC curve was used to evaluate the diagnostic efficacy. Results The AEF and ECV values of RCC were presented significantly more highly than those of RAML (PAEF<0.0001, PECV<0.0001). There was no significant difference in AEF value between RCC and contralateral normal kidney cortex(P=0.406). The ECV value of RCC was significantly lower than that of contralateral normal kidney cortex (P<0.0001). The AEF and ECV values of RAML were lower than those of contralateral normal kidney cortex (PAEF<0.0001, PECV<0.0001). The area under the ROC curve of AEF and ECV in the diagnosis of RCC was 0.566 and 0.992. The sensitivity and specificity of AEF were 37.1% and 85.2%. The sensitivity and specificity of ECV were 96.3% and 100%. The area under the ROC curve of AEF and ECV in the diagnosis of RAML was 0.818 and 1.000. The sensitivity and specificity of AEF were 77.8% and 88.9%. The sensitivity and specificity of ECV were both 100%. Conclusion Spectral CT quantitative enhancement parameters AEF and ECV can not only detect renal cell carcinoma and renal angiomyolipoma, but also have high diagnostic value for the identification of them.
Objective To evaluate the application value of IDEAL-IQ quantitative assessment of bone marrow fat content and iron content in differentiating between aplastic anemia (AA) and myelodysplastic syndrome (MDS). Methods A total of 44 patients with AA (AA group), 25 patients with MDS (MDS group), and 28 healthy volunteers (control group) were included. We quantitatively measured the bone marrow fat content and iron content of the right iliac bone. Consistency among three data assessors was analyzed using the interclass correlation coefficient (ICC). Non-parametric tests were employed to compare differences in bone marrow fat content and R2* values among the AA, MDS, and control groups, P<0.05 considered statistically significant. Results The AA group exhibited a significantly higher bone marrow fat content compared to the MDS group and the control group, with significant differences (P<0.05). No statistically significant differences were found in bone marrow iron content among the AA group, MDS group, and control group (P>0.05). Conclusion The IDEAL-IQ technique of magnetic resonance imaging can provide effective technical support for the preliminary differential diagnosis of aplastic disorder and myelodysplastic syndrome from the imaging perspective according to the changes of bone marrow fat content. By evaluating bone marrow fat content, it can assist the clinical selection of treatment.
Objective To explore the application value of energy spectrum CT monochromatic imaging combined with metal artifact removal algorithm in reducing metal artifacts after intracranial aneurysm coil embolization. Methods The original data of 48 patients who needed spectral head and neck CT examination after intracranial aneurysm embolization were collected in Hunan University Of Medicine General Hospital from June 2023 to August 2024. The 40-140 keV monochromatic image, 140 kVp mixed-energy image and 40-140 keV combined with metal artifact reduction algorithm were reconstructed from the original data respectively. In terms of objective analysis, the brain tissue regions affected by artifacts were selected as the experimental group, and brain tissue regions unaffected by artifacts were selected as the control group; CT values and standard deviations were measured, and artifact indices and signal-to-noise ratios were calculated for the regions; In terms of subjective analysis, two diagnostic doctors used the Likert 5-point scale to subjectively score the severity of metal artifacts and the clarity of surrounding tissues. Results The artifact index decreases gradually and the signal-to-noise ratio increases gradually as the single energy level increases. The artifact index of the single-energy combined metal artifact removal algorithm group was lower than that of the single-energy group under the same keV condition, and the difference was statistically significant (P<0.05). The signal-to-noise ratio of the single-energy combined metal artifact removal algorithm group was higher than that of the single-energy group under the same keV condition, and the difference was statistically significant (P<0.05). The signal-to-noise ratio of the single-energy combined metal artifact removal algorithm group reached the highest and stabilized, while the artifact index reached the lowest and stabilized at energy levels 100-140 keV. In terms of subjective evaluation, the subjective scores of the single-energy combined metal artifact removal algorithm group are higher at the same keV, and the differences are statistically significant (P<0.05). Conclusion Spectral CT monochromatic imaging combined with metal artifact removal algorithm effectively reduces metal artifacts after intracranial aneurysm embolization, optimizes blood vessel display, and improves image quality.
With the rapid development of molecular biology, imaging technology and information processing ability, medical imaging has become an indispensable tool in disease management. Imaging technology is not only used for early screening and positioning of diseases, but also provides molecular characteristics of diseases through molecular imaging, providing support for precision medicine and personalized treatment. Despite the significant progress in traditional imaging technologies, the contrast agents and labeled probes they depend on still exhibit inherent limitations. Nanobodies, derived from the heavy-chain antibodies of camelids, present unique advantages in medical imaging due to their small molecular size, high stability, and exceptional specificity. This review summarized the distinctive features of nanobodies and the latest research developments on their application in diagnostic imaging, focusing particularly on their use in tumor imaging, infection monitoring, and the diagnosis of inflammatory diseases. The review also discussed the challenges that nanobodies face in clinical translation, and current solution. In the future, combined with technology optimization and multimodal imaging, nano antibodies are expected to become an important tool for precision medicine and promote the further development of personalized medicine.
Medical imaging is no longer just basic anatomical imaging, functional imaging, molecular imaging, etc. has become an important development trend in the current imaging field, due to the rapid advancement of medical imaging and technology. Radiomics technology has emerged, and artificial intelligence is also progressively altering the structure of the medical industry with its potent data analysis and pattern recognition capabilities. The diagnosis and differential diagnosis of cervical cancer, preoperative staging, evaluation of curative effects, and prognosis prediction are all significantly impacted by the combination of MRI-based radiomics and artificial intelligence. This paper will review the overview and development status of Radiomics and artificial intelligence, as well as the application, future challenges and limitations of radiomics combined with artificial intelligence in cervical cancer.
Myocardial fibrosis is a process of cardiac interstitial remodeling, which is a common healing response after cardiac injury. Fibroblast activation protein inhibitor (FAPI) is a novel agent that targets FAP with a high target-to-background ratio. Current research indicates that FAPI plays a key role in the diagnosis of myocardial fibrosis and has become a recent research focus. This article mainly reviews the application of FAPI PET imaging, the forms of myocardial fibrosis, and the current research status of FAPI PET in myocardial fibrosis in various heart diseases, in order to reveal the value of FAPI PET in non-invasive monitoring, early intervention, and improving the prognosis of myocardial fibrosis, which will help its further clinical promotion and application.
