To characterize contrast-enhanced ultrasound (CEUS) patterns in Crohn’s disease (CD), assess their agreement with CT enterography (CTE), and evaluate their value in activity assessment. In this prospective study, 205 patients with CD underwent intestinal CEUS and CTE between December 2022 and December 2024. CEUS was performed within 30 min after CTE. CD was confirmed by endoscopy and histopathology. Disease activity was classified as active or remission using the Crohn’s Disease Activity Index (CDAI). Agreement between CEUS and CTE enhancement patterns was assessed using kappa statistics, with CTE as the reference standard. Diagnostic performance of CEUS was evaluated by sensitivity, specificity, predictive values, and receiver operating characteristic analysis. Of the 205 patients, 133 had active disease and 72 were in remission. On CTE, active CD was mainly associated with stratified or transmural enhancement, whereas remission was associated with absent or mucosal-only enhancement. CEUS showed stratified enhancement in 63.0

To evaluate the clinical utility of shear wave elastography (SWE) for quantifying renal stiffness in chronic nephritis syndrome (CNS) and correlate it with histopathological staging. A study involving 95 CNS patients and 95 healthy controls was conducted with ethical approval. All participants underwent bilateral renal SWE to measure cortical stiffness (Young's modulus, YM). CNS patients underwent ultrasound-guided renal biopsies. Estimated glomerular filtration rate (eGFR) and serum creatinine were also assessed. ANOVA, ROC curves, and Spearman's rank correlation were used for statistical analysis. Significant differences (p < 0.001) in bilateral renal YM Emax, Emean, and Emin values were observed between CNS and control groups, with CNS patients exhibiting higher values. ROC analysis indicated that bilateral renal YM Emax (AUC = 0.94), YM Emean (AUC = 0.86), and YM Emin (AUC = 0.90) were significant predictors of CNS. The pathological type of CNS significantly influenced bilateral renal YM Emin (p = 0.044), with SLE exhibiting lower values. Subgroup analysis by eGFR stage revealed significant differences in all YM parameters across stages (p < 0.05), with advanced stages (4-5) showing the highest mean values. Spearman's correlation showed positive correlations between YM parameters and serum creatinine, 24-hour urine protein excretion, and cystatin C (p < 0.01 or p < 0.05), and negative correlations with eGFR (p < 0.01). SWE is a non-invasive tool for assessing renal stiffness and damage in the CNS by measuring Young's modulus. Increased SWE-derived renal elastic modulus values correlate with the progression of renal fibrosis in CNS patients.

The present study developed a novel injectable, biocompatible, and thermosensitive hydrogel system for ultrasound-triggered drug release, using a chitosan/sodium β-glycerophosphate/titanium dioxide nanoparticle (CS/β-GP/TiO2 NP) composite. The inclusion of TiO2 NPs aimed to enhance ultrasound sensitivity, enabling precise therapeutic release to targeted tissues. The hydrogels displayed excellent injectability (maximum injection force <6.5 N) and gelled effectively at body temperature. Biocompatibility was confirmed through Cell Counting Kit-8, LIVE/DEAD, and western blot assays. The present study demonstrated that hydrogels with TiO2 NPs significantly increased the release rates of sodium fluorescein and bovine serum albumin, affirming the role of TiO2 NPs as a sensitizer. This establishes the CS/β-GP/TiO2 NP hydrogel as a promising system for ultrasound-responsive drug delivery. Potential applications include drug delivery, tissue engineering, and wound healing, with the system offering controlled and targeted therapy under ultrasound stimulation. Future research will optimize hydrogel properties, assess in vivo performance, and evaluate long-term stability and effectiveness in clinical settings.

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have profound implications in practical applications, particularly for classifying in-patient discharge summaries and medical text reports, leading to improved understandability for medical professionals. However, the challenges posed by the short length, professional medical vocabulary, complex medical measures, and feature sparsity are further magnified in medical short text classification compared to general domains. This paper introduces a novel soft prompt-tuning method designed specifically for medical short text classification. Inspired by the recent success of prompt- tuning, which has been extensively explored to enhance semantic modeling in various natural language processing tasks with the appearance of GPT-3, our method incorporates an automatic template generation method to address the issues related to short length and feature sparsity. Additionally, we propose two different strategies to expand the label word space, effectively handling the challenges associated with specialized medical vocabulary and complex medical measures in medical short texts. The experimental results demonstrate the effectiveness of our method and its potential as a significant advancement in medical short text classification. By addressing issues related to short text length, feature sparsity, and specialized medical terminology, it offers a promising advancement toward more accurate and interpretable medical text classification.

Background and objectiveAccurate diagnosis of thyroid nodules using ultrasound images heavily depends on the clinical expertise of radiologists. This reliance poses significant challenges in underdeveloped countries and regions where access to specialized medical resources is limited. Recently, Multi-modal Large Language Models (M-LLMs) have demonstrated promising potential in handling heterogeneous data, such as images and text, making them attractive candidates for automating labor-intensive diagnostic tasks. However, M-LLMs often struggle in ultrasound diagnosis of thyroid nodules for two main reasons: (1) without domain-specific fine-tuning, they are prone to generating hallucinated content, especially in classification tasks that demand expert-level decision-making; and (2) the cost and effort required for ultrasound multi-modal datasets of thyroid nodules are prohibitively high, which are essential for fine-tuning M-LLMs.MethodsWe propose a novel multi-modal prompt-tuning method based on ultrasound images and textual description, which can assist radiologists in improving their diagnoses of the etiology of thyroid nodules. Our approach leverages an image encoder and a prompt-tuning framework to learn effective representations from both modalities without the need for expensive full model fine-tuning. The fused multi-modal features are then used to improve the diagnosis of thyroid nodules. These obtained features are re-input into the multi-layer perceptron (MLP) model to fuse multi-modal relationships for complementing image features and assist in the diagnosis of thyroid nodules.ResultsExtensive experiments on publicly available and private enrolled datasets demonstrate that our method achieved state-of-the-art performance. Our method significantly outperformed traditional single-modality methods, with accuracy improvements of up to 40.62 over ResNet and 28.51% over AlexNet on the publicly available dataset. In contrast to other multi-modal models, our method achieved superior performance of up to 23.12% and 25.21% on accuracy and F1 score.ConclusionsOur method even surpasses all participating radiologists in accuracy, highlighting its strong potential to assist in expert-level diagnostic decision-making and provide scalable support for resource-limited clinical environments. Practically, it facilitates faster and more consistent thyroid nodule screening, thereby enhancing diagnostic efficiency.

OBJECTIVE:To explore the feasibility of color Doppler ultrasound (CDUS) in detecting the middle meningeal artery (MMA) and evaluate the clinical application of this method in chronic subdural hematoma (CSDH). METHODS:This study collected clinical data from 100 patients with CSDH who were admitted to our hospital between January 2023 and March 2024. Among these patients, 87 underwent drilling and drainage surgery. Postoperative follow-up categorized patients into a recurrence group and a nonrecurrence group. Additionally, 80 healthy volunteers and 60 patients with acute subdural hematoma were selected as the control group. Using CDUS technology, the MMA was assessed through the infratemporal fossa in the half-mouth position to obtain peak systolic flow velocity (PSV), end diastolic flow velocity, and resistance index (RI). Comparisons were conducted between the study group and the control group, as well as between the recurrence and nonrecurrence groups to evaluate hemodynamic differences. Multivariate logistic regression analysis was employed to identify risk factors for postoperative recurrence in patients with CSDH. Receiver operating characteristic curves were generated to assess the sensitivity and specificity of MMA hemodynamic parameters in predicting postoperative recurrence of CSDH. RESULTS:The MMA visualization rates for the CSDH group, healthy volunteer group, and acute subdural hematoma group were 84.43% (103/122), 85.00% (136/160), and 83.33% (70/84), respectively. Multivariate logistic regression analysis indicated that bilateral hematoma, increased PSV, and decreased RI were independent risk factors for the recurrence of CSDH following drilling and drainage (P < 0.05). The maximum Youden index was achieved when the PSV predictive value was 30.85 cm/s and the RI predictive value was 0.78. CONCLUSIONS:Utilizing CDUS in a half-open mouth position is a feasible method for evaluating extracranial MMA. Monitoring hemodynamic changes in the MMA of patients with CSDH postsurgery holds significant value in indicating the potential for postoperative recurrence.

OBJECTIVE:Serum uric acid (SUA), a non-protein antioxidant, exerts anti-inflammatory and antioxidative stress effects. This study aimed to investigate the association between SUA levels and the risk of benign prostatic hyperplasia (BPH). METHODS:This cross-sectional study included 48 653 adult men who underwent health checkups at the Health Examination Center of the Affiliated Hospital of Yangzhou University in 2022. Data on demographics, clinical history and laboratory parameters were collected. Multivariable logistic regression models were used to analyse the relationship between SUA levels and BPH risk, with further exploration in different subgroups. RESULTS:Logistic regression analysis revealed a significantly decreased risk of BPH among participants in the highest SUA quartile (Q4) compared with those in the lowest quartile (Q1) (fully adjusted OR=0.83, 95% CI: 0.78 to 0.90, p<0.0001). Subgroup analyses demonstrated that this inverse association was more pronounced in subgroups of age>60 years (Q4: OR=0.77, 95% CI: 0.68 to 0.87, p<0.0001), non-obesity (Q4: OR=0.81, 95% CI: 0.75 to 0.87, p<0.0001), without non-alcoholic fatty liver disease (NAFLD) (Q4: OR=0.81, 95% CI: 0.73 to 0.89, p<0.0001), hypertension (Q4: OR=0.81, 95% CI: 0.74 to 0.89, p<0.0001) and without diabetes (Q4: OR=0.84, 95% CI: 0.78 to 0.90, p<0.0001). Curve fitting revealed that higher SUA levels were associated with a lower risk of BPH even in the presence of increased BPH risk factors such as diabetes and hypertension. CONCLUSIONS:This study demonstrates a significant inverse association between SUA levels and BPH risk, particularly in subgroups of older age, non-obesity, absence of NAFLD, hypertension and absence of diabetes. This suggests a potential protective role of SUA in BPH development, highlighting the potential value of maintaining SUA levels within a reasonable range for BPH prevention.

BACKGROUND:Cardiovascular disease (CVD) is a major cause of human mortality and has become the leading cause of death worldwide. Existing studies indicate that structural and functional damage to the main arteries represents a significant risk factor for early vascular lesions and many CVDs. AIMS:This study aimed to explore characteristics of carotid-femoral pulse wave velocity (cfPWV) and its correlation with cardiovascular disease risk factors in healthy individuals. METHODS:Convenience sampling was used to collect demographics, risk factors, and laboratory examinations from 501 healthy individuals who underwent health checkups at our healthcare center from August 2020 to January 2021. Pearson correlation coefficients were used to examine the correlations between cfPWV and various parameters in both sexes. Multiple linear regression analysis was used to investigate the factors potentially influencing cfPWV. RESULTS:A statistically significant difference in cfPWV between sexes was observed only in the age group of subjects 38-47 years old. The results of the univariate analysis showed that in males, cfPWV was positively correlated with age, blood pressure, heart rate, and alcohol consumption and was negatively correlated with tehe resistive index. In females, cfPWV was positively correlated with age, blood pressure, heart rate, alanine aminotransferase, urea, creatine, uric acid, fasting blood glucose, triglycerides, total cholesterol, and heart rate. The results of multivariable analysis indicated that age, systolic blood pressure, heart rate, and alcohol consumption were influencing factors for cfPWV in males, while age, systolic blood pressure, heart rate, and creatinine were influencing factors for cfPWV in females (P <0.05 for all). CONCLUSIONS:In healthy individuals, the distribution patterns of cfPWV values vary by sex and age. In the elderly population, especially elderly women, enhanced monitoring and regular follow-ups are recommended to prevent the development and progression of CVDs in high-risk individuals at an early stage.

It is a universal phenomenon for patients who do not know which clinical department to register in large general hospitals. Although triage nurses can help patients, due to the larger number of patients, they have to stand in a queue for minutes to consult. Recently, there have already been some efforts to devote deep-learning techniques or pre-trained language models (PLMs) to triage recommendations. However, these methods may suffer two main limitations: (1) These methods typically require a certain amount of labeled or unlabeled data for model training, which are not always accessible and costly to acquire. (2) These methods have not taken into account the distortion of semantic feature structure and the loss of category discriminability in the model training. To overcome these limitations, in this study, we propose a cross-domain text classification method based on prompt-tuning, which can classify patients' questions or texts about their symptoms into several given categories to give suggestions on which kind of consulting room patients could choose. Specifically, first, different prompt templates are manually crafted based on various data contents, embedding source domain information into the prompt templates to generate another text with similar semantic feature structures for performing classification tasks. Then, five different strategies are employed to expand the label word space for modifying prompts, and the integration of these strategies is used as the final verbalizer. The extensive experiments on Chinese Triage datasets demonstrate that our method achieved state-of-the-art performance.

The purpose of this study was to comparative analyze the diagnostic efficiency of Thyroid Imaging Reporting and Data System proposed by Kwak, American College of Radiology, the European Thyroid Association and the Chinese Medical Association, respectively (Kwak TI-RADS, ACR TI-RADS, EU-TIRADS and C-TIRADS, respectively) for malignant risk stratification of thyroid nodules. A total of 1142 thyroid nodules confirmed by cytological or surgical pathologies were retrospectively classified according to Kwak TI-RADS, ACR TI-RADS, EU-TIRADS and C-TIRADS. The area under the receiver operating characteristic curve (AUC), the diagnostic sensitivity, specificity, Youden index, and accuracy of each TI-RADS for nodules was calculated and compared. The diagnostic sensitivity of ACR TI-RADS was 85.5%, which was lowest (all P < 0.05). The diagnostic specificity of ACR TI-RADS was higher than that of Kwak TI-RADS and EU-TIRADS (all P < 0.05), but there was no significant difference compared with that of C-TIRADS (x2 = 2.335, P = 0.126). The diagnostic accuracies of the four methods were more than 85%, and there were no significant differences (all P > 0.05). The AUC of C-TIRADS was highest among the four methods (all P < 0.05). The four methods have high diagnostic efficiency in malignant risk stratification of thyroid nodules, and the AUC of C-TIRADS was higher than that of the other three methods.

AIM:To compare the efficacy of quantitative contrast-enhanced ultrasonography (CEUS) analysis and colour Doppler ultrasound (CDU) in evaluating central retinal artery (CRA) microcirculation in patients with diabetes mellitus (DM). MATERIALS AND METHODS:In this prospective study, a total of 55 patients (98 eyes) with DM were enrolled as the study group. They were compared to 46 age-matched healthy volunteers (92 eyes) who were selected as the control group. Each patient underwent CDU and subsequent CEUS examination. CDU and quantitative CEUS parameters were evaluated. The diagnostic efficiency of the diagnostic performance of CEUS and CDU was evaluated and compared, and the scale thresholds of predictive indicators for the diagnosis of proliferative diabetic retinopathy (PDR) were evaluated using receiver operating characteristics (ROC) curve analyses. RESULTS:Group pairwise comparisons showed that the end diastolic velocity (EDV) and arrival time (AT) of CRA were significant predictors for PDR by CDU and by quantitative CEUS analysis, respectively (all p<0.05). The ROC curve analysis showed that the area under the curve value of AT was significantly higher than that of EDV (0.875 versus 0.634, p=0.0002). Accordingly, an AT cut-off value of 1.07 seconds resulted a sensitivity of 90.62 % and a specificity of 79.31 %. CONCLUSION:Quantitative CEUS analysis can improve the accuracy of clinical staging of diabetic retinopathy for the patients with DM, and the AT showed the best diagnostic efficiency.

RATIONALE AND OBJECTIVES:It remains a challenge to determine the nature of thyroid nodules (TNs) with Hashimoto's thyroiditis (HT). We aim to investigate the multiregional ultrasomics signatures obtained from B-mode ultrasound (B-US) and contrast-enhanced ultrasound (CEUS) images for predicting malignancy in TNs of patients with HT. MATERIALS AND METHODS:B-US and CEUS images of 193 nodules (110 malignant and 83 benign nodules) from 110 patients were retrospectively collected in the single-center study, extracting ultrasomics signatures from the intratumoral (In) and peritumoral (Peri) regions of the thyroid. In-B-US, Peri-B-US, In-CEUS, and Peri-CEUS ultrasomics models and a stacking regression model were constructed, and the diagnostic performance of the models was evaluated by comparing the area under the receiver operating characteristic curve (ROC). RESULTS:The In-B-US, Peri-B-US, In-CEUS, Peri-CEUS, and stacking regression model in the training and testing datasets which attained AUC (95% CI) of 0.872(0.812, 0.932), 0.815(0.747, 0.882), 0.739(0.659, 0.819), 0.890(0.836, 0.943), 0.997(0.992, 1.000) and 0.799(0.650, 0.948), 0.851(0.727, 0.974), 0.622(0.440, 0.805), 0.742(0.573, 0.911), 0.867(0.741, 0.992); sensitivity of 82.8%, 89.7%, 71.3%, 74.7%, 96.6% and 69.6%, 78.3%, 43.5%, 78.3%, 91.3%; specificity of 80.6%, 58.2%, 67.2%, 91.0%, 98.5% and 93.8%, 87.5%, 93.3%, 75.0%, 81.2%, respectively. The stacking regression model based on ultrasomics signatures showed favorable calibration and discriminative capabilities. Compared to the stacking regression model, the difference in AUC between the In-B-US and Peri-B-US models was not statistically significant (P > 0.05). However, the difference in AUC between the In-CEUS and Peri-CEUS models was significant (P < 0.05). CONCLUSION:The application of an ultrasomics approach can effectively predict the benign or malignant nature of TNs accompanied by HT. The diagnostic performance of the ultrasomics model was improved by combining the dual-region and dual-mode of thyroid.

In unstructured scenarios, objects usually have unique shapes, poses, and other uncertainties, which put forward higher requirements for the robot’s planar grasping detection ability. Most previous methods use single-modal data or simply fused multi-modal data to predict gripper configurations. Single-modal data is not conducive to comprehensively describe the diversity of objects, and the simple fusion method may also ignore the dependencies between multi-modal data. Based on the above considerations, we propose a Multi-modal Dynamic Cooperative Fusion Network (MDCNet), in which a Multilevel Semantic Guided Fusion Module (MSG) is designed, through which enhanced semantic guidance vectors are used to suppress the undesired influence factors produced by different fusion structures. In addition, we also design a general Enhanced Feature Pyramid Nets Structure (EFPN) to learn the dependencies between fine-grained features and coarse-grained features and improve the robustness of the encoder in unstructured scenarios. The results show that the proposed method has an accuracy rate of 98.9

BackgroundTransrectal ultrasonography (TRUS)/magnetic resonance imaging (MRI) fusion-guided biopsy has a high clinical application value. However, this technique has some limitations, which limit its use in routine clinical practice. Therefore, the selection of suitable proatate lesions for this technique is worthy of our attention. Synthetic MRI (SyMRI) is capable of quantifying multiple relaxation parameters, which might have potential value in preprocedural evaluation for TRUS/MRI fusion-guided biopsy of the prostate. The aim of our study is to examine the value of SyMRI quantitative parameters in preprocedural evaluation for TRUS/MRI fusion-guided biopsy of the prostate. MethodsWe prospectively selected 148 lesions in 137 patients who underwent prostate biopsy in our hospital. Next, 2-4 needles of TRUS/MRI fusion-guided biopsy combined with 10 needles of system biopsy (SB) were used as the protocol for prostate biopsy. Before biopsy, the MAGiC sequences of the MRI images of the enrolled patients underwent post-processing, and the longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) were extracted. The biopsy pathology results were used as a gold standard to compare the differences in SyMRI quantitative parameters between benign and malignant prostate lesions in the peripheral and transitional zones. The receiver operating characteristic (ROC) curves were plotted to confirm the optimal SyMRI quantitative parameter for prostate lesion benignancy/malignancy performance, and the cutoff values of these parameters were used for grouping the lesions. The single-needle biopsy prostate cancer (PCa)-positivity rates (number of positive biopsy needles/total biopsy needles) and PCa overall detection rates by TRUS/MRI fusion-guided biopsy and SB were compared in different subgroups. ResultsThe T1 and T2 values can determine the benignancy/malignancy of prostate transition lesions(p < 0.01), and the T2 value has a greater diagnostic performance (p = 0.0376). The T2 value can determine the benignancy/malignancy of prostate peripheral lesions. The optimal diagnostic cutoff values for T2 were 77 and 81 ms, respectively. The single-needle PCa positivity rate of TRUS/MRI fusion-guided biopsy was higher than SB for any prostate lesions in different subgroups (p < 0.01). However, only in the subgroup of transition zone lesions with T2 <= 77 ms, the PCa overall detection rate of TRUS/MRI fusion-guided biopsy was significantly higher than that of SB (p = 0.031). ConclusionSyMRI-T2 value can provide a theoretical basis for the selection of suitable lesions for TRUS/MRI fusion-guided biopsy.

目的 调查新型冠状病毒肺炎疫情下,住院医师规范化培训学员(住院医师)的行为及情绪,依据调查结果调整新型冠状病毒肺炎疫情期间住院医师规范化培训计划和培训方式.方法 采用"问卷星"微信小程序对超声科40名住院医师(27名超声专业、13名其他专业)进行实名制封闭式问卷调查,内容包括个人基本情况、新型冠状病毒肺炎疫情相关问题、行为改变调查、行为态度调查和情绪状况调查.对调查数据使用SPSS 19.0进行卡方检验和秩和检验.结果 有效问卷40份,参与率100.0％.24个新型冠状病毒肺炎相关问题答题正确率超声专业与其他专业住院医师,差异无统计学意义[92.0％(596/648)vs.93.6％(292/312),P>0.05].住院医师对新型冠状病毒肺炎疫情相关知识掌握较好,主要外出行为明显减少,各种居家等行为明显增多,学习兴趣有所下降.当新型冠状病毒肺炎疫情(可能)发生在自己所处小区或村镇时,紧张、恐惧、悲观、郁闷等负面情绪明显表达出来.依据问卷调查结果调整了教学计划和方式,采用公众号进行网络授课和评价,并指导住院医师调整居家行为方式和情绪.结论 在新型冠状病毒肺炎疫情下,住院医师的行为和情绪都发生了变化,规培基地应针对性地调整规培教学计划和方式,做好疫情期间住院医师的心理和学习辅导.

目的:探讨TNFAIP3在透明细胞肾细胞癌(clear cell renal cell carcinoma,ccRCC)中的表达情况,并分析其表达与患者临床病理特征的相关性.方法:利用GEPIA2数据库分析TNFAIP3在ccRCC组织和正常肾脏组织中的差异表达,收集具备完整临床资料的97例ccRCC组织及对应的癌旁正常肾脏组织,采用免疫组织化学EnVision两步法检测TNFAIP3蛋白在ccRCC组织及对应癌旁正常肾脏组织中的表达,分析TNFAIP3蛋白的表达情况与患者年龄、性别、WHO/ISUP分级、肿瘤最大径及TNM分期等临床病理特征的关系.结果:GEPIA2数据库分析显示,与正常肾脏组织相比TNFAIP3在ccRCC组织中呈高表达(P＜0.05),但TNFAIP3高表达ccRCC患者总生存时间和无瘤生存时间均显著高于TNFAIP3低表达ccRCC患者(P＜0.05);TNFAIP3免疫组化检测证实,TNFAIP3在ccRCC组织中呈淡黄至棕褐色表达于细胞膜和细胞质,在ccRCC组织中高表达比例明显高于癌旁正常肾脏组织(P＜0.05),TNFAIP3表达水平与ccRCC组织的WHO/ISUP肾细胞癌分级、肿瘤最大径、TNM分期、有无淋巴结转移临床参数有关(P＜0.05),TNFAIP3高表达则提示较好的预后.结论:ccRCC组织中TNFAIP3的表达明显升高,而TNFAIP3高表达的ccRCC患者总生存期和无瘤生存期均好于TNFAIP3低表达的ccRCC患者,TNFAIP3参与ccRCC增殖、转移中的作用方式与分子调控机制则待进一步研究.

目的 观察半张口位超声探查上颌动脉(MXA)及脑膜中动脉(MMA)的价值.方法 前瞻性招募40名健康志愿者,分别行半张口位和闭口位经颞下窝彩色多普勒超声及头颈部CT血管造影(CTA),观察其所示双侧MXA及MMA,测量内径及血流动力学参数;以CTA为对照,评估超声探查MXA及MAA的价值.结果 半张口位超声对于MXA和MMA显示率分别为95.00％(76/80)和90.00％(72/80);而闭口位超声显示率分别为75.00％(60/80)和60.00％(48/80).半张口位与闭口位对于MXA和MMA的显示率差异均有统计学意义(P均＜0.05).MXA内径、收缩期峰值流速(PSV)及舒张末期流速(EDV)均显著大于MMA,而阻力指数(RI)及搏动指数(PI)小于MMA(P均＜0.05).半张口位及闭口位CTA中,MXA显示率均为100.00％(80/80),MMA显示率均为95.00％(76/80);且半张口位超声与CTA对于MXA及和MMA的显示率差异均无统计学意义(P均＞0.05).CTA显示76条MXA走行于翼外肌下头浅面,4条MXA走行于翼外肌下头深面并与同侧MMA伴行直至MMA进入棘孔,且均未被半张口位超声所显示.结论 半张口位超声可用于探查MXA和MMA,显示率均与CTA相当.

Objective:To investigate postpartum myometrial elasticity in pregnant women with gestational diabetes mellitus (GDM) using shear wave elastography (SWE) and analyze the correlation between myometrial SWE values and obstetric complications.Methods:Clinical data of women who gave birth at Affiliated Hospital of Yangzhou University from August 2022 to July 2023 were retrospectively analyzed and divided into two groups based on GDM diagnosis: the GDM group and the healthy control group. SWE was used to measure the elasticity values of the anterior and posterior myometrial walls in both groups. Differences in placental attachment position and SWE values at the placental attachment site were compared between the two groups. Spearman correlation analysis was utilized to evaluate the correlation between SWE values and obstetric complications.Results:Glycated hemoglobin (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR), fasting plasma glucose (FPG), 2-hour postprandial glucose (2h PG), triglycerides (TG), and total cholesterol (TC) levels were higher in the GDM group than in the healthy control group (P<0.05). There was a statistically significant difference in placental attachment position between the two groups (P<0.05). In both the GDM (17.52±0.42 vs 25.29±0.74, P=0.001) and control groups (14.06±5.01 vs 22.20±6.34, P=0.001), mean SWE values were significantly lower for anterior versus posterior placental attachment, and mean SWE values were also significantly higher in the GDM versus control group for both anterior (17.52±0.42 vs 14.06±5.01, P=0.001) and posterior placental attachment (25.29±0.74 vs 22.20±6.34, P=0.001). Spearman correlation analysis showed that postpartum hemorrhage (r=0.632, P=0.017), preeclampsia (r=0.818, P=0.014), premature rupture of membranes (r=0.710, P=0.012), placental abruption (r=0.732, P=0.031), and ketoacidosis (r=0.729, P=0.022) were negatively correlated with average myometrial SWE values in the GDM group (P<0.05).Conclusion:SWE values at the placental attachment site were higher in GDM patients than in healthy pregnant women, and myometrial elasticity was positively correlated with obstetric complications.

目的 利用超声造影(CEUS)定量分析技术获取不同甲状腺结节的定量参数,评价其对低增强型亚急性甲状腺炎(SAT)与甲状腺乳头状癌(PTC)的鉴别诊断价值.方法 选择32例SAT患者作为SAT组,其中男性6例,女性26例;年龄36～66岁,平均年龄50.37岁;结节大小6.0～36.7 mm,平均最大径13.54 mm.同期选择经术后病理诊断证实39例PTC患者作为PTC组,其中男性9例,女性30例;年龄33～66岁,平均年龄48.28岁;结节大小7.0～23.0 mm,平均最大径11.94 mm.运用SonoLiver软件分析记录各结节整体(W)、边缘(P)和中央(C)的不同感兴趣区(ROI)的CEUS定量参数,包括最大峰值强度(IMAX)、始增时间(RT)、达峰时间(TTP)和平均渡越时间(mTT),并计算周围正常组织各定量参数与结节不同部位定量参数的相对值(△值),对比分析SAT和PTC两组结节之间CEUS定量参数的差异,并用受试者工作特性(ROC)曲线获得截断值.结果 SAT组结节定量参数IMAXw和△mTTw大于PTC组(0.53±0.18vs0.43±0.23;P＜0.05.-1.26±7.35 vs-1.44±2.38;P＜0.05);△TTPp在 SAT 组小于 PTC 组(-0.42±0.66 vs 0.06±0.75.P＜0.05);SAT 组定量参数 IMAXc、△RTc 及△mTTc 均高于 PTC 组(0.49±0.19 vs 0.31±0.28;P＜0.05.0.24±0.62 vs-0.28±1.11;P＜0.05.1.31±4.32vs-1.62±4.35;P＜0.05).ROC 曲线分析显示定量参数 IMAXc及△mTTc 的最佳截断值分别为0.27和0.50,曲线下面积分别为0.849和0.837.结论 CEUS定量分析有助于低增强型SAT与PTC的鉴别,有一定的临床应用价值.