Parkinson’s disease (PD) is a complex, progressive neurodegenerative disorder characterized by high heterogeneity and diagnostic challenges in its early stages. This study aimed to develop and validate a multimodal machine learning model for early PD detection by integrating neurochemical metabolites and QSM-based radiomic features from multicenter PD cohorts. Several model architectures, including Random Forest, Support Vector Machine, eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine, were evaluated for comparing appropriate methods. The XGBoost model demonstrated superior predictive performance, achieving AUC values of 0.984 and 0.973 in the training and test cohorts, respectively. Feature importance analysis identified key diagnostic biomarkers using SHapley Additive exPlanations (SHAP) and enhanced model interpretability. This study can provide new insights into the neurobiological mechanisms underlying early PD.

Background: Glioblastoma (GBM) is characterized by high morbidity and mortality due to its localization and often locally invasive growth. Current treatment options for GBM are limited, with conventional therapies achieving a median survival of only 15 months. Mechanotherapy has been proposed as a new therapeutic strategy in oncology. Low-intensity focused ultrasound (LIFU), a form of mechanotherapy, has demonstrated inhibitory effects on GBM. However, its underlying mechanisms remain poorly understood. The present study aimed to evaluate the therapeutic effects of LIFU on GBM and investigate its mechanisms of action. Methods: Cell viability and proliferation were evaluated using cell counting kit-8, EdU and colony formation assays, while the effects of LIFU on GBM cell apoptosis were evaluated by flow cytometry. Transcriptome sequencing, immunofluorescence, reverse transcription-quantitative polymerase chain reaction, Western blot, bioinformatics analysis, dual-luciferase reporter assay and chromatin immunoprecipitation were used to investigate the molecular mechanisms underlying the effects of LIFU on GBM. The therapeutic efficacy of LIFU was further validated in a subcutaneous xenograft tumor model, in which tumor size, survival rate and immunohistochemical changes were monitored. Results: The results of the present study demonstrated that LIFU exerts anti-GBM effects by activating Piezo1 and modulating the downstream ATF3/PPP1r15a pathway to regulate apoptosis. LIFU therapy holds promise as a new treatment strategy for GBM, with the potential to improve patient prognosis. Conclusions: LIFU suppresses GBM progression through the Piezo1/ATF3/PPP1r15a axis by activating endoplasmic reticulum stress.

Objective This study aimed to evaluate the feasibility of intraperitoneal injection as an alternative to the technically challenging intravenous route for contrast agent administration in murine brain magnetic resonance imaging by comparing their enhancement effects. Specifically, it sought to determine the optimal injection dose and imaging time window for administration of gadobutrol, a macrocyclic gadolinium-based contrast agent, in orthotopic glioblastoma models. Methods This study used an orthotopic glioblastoma model established in BALB/c nude mice (n = 24) by intracranial implantation of LN229 cells. Mice were randomized to receive gadobutrol at doses of 1 or 2 mmol/kg via both intravenous and intraperitoneal routes on separate days. Contrast-enhanced magnetic resonance imaging was performed at multiple post-injection time points. The resulting images were evaluated qualitatively by blinded neuroradiologists and quantitatively by measuring signal-to-noise ratio and contrast-to-noise ratio, with statistical comparisons made between injection methods and dosage groups. Results Image quality assessments revealed no significant differences in signal-to-noise ratio, contrast-to-noise ratio, or enhancement metrics between the intravenous and intraperitoneal routes. Peak enhancement occurred at 7 min following intravenous injection and 30 min following intraperitoneal injection. Conclusions Intraperitoneal injection is a viable alternative, with scanning at 30 min recommended for optimal contrast enhancement.

Glioblastoma (GBM) remains a highly aggressive brain tumor with limited therapeutic outcomes owing to therapy resistance, particularly resistance to anoikis, which prompts researchers to seek novel treatments for GBM. To address this challenge, we developed a theranostic nanoplatform, Gd3+-loaded PEGylated melanin nanoparticles (Gd-MNP-PEGs), to achieve magnetic resonance imaging (MRI)-guided thermoradiotherapy (the combination of photothermal therapy and radiotherapy). This biocompatible nanoplatform enables high-resolution MR imaging for tumor boundary delineation and synergistically combines photothermal therapy with radiotherapy to overcome anoikis resistance. Transcriptomic analysis further identified integrin alpha-5 as a key therapeutic target, acting through the PI3K/AKT signaling pathway. By integrating diagnostic imaging with a mechanism-based therapeutic strategy, this work presents a promising and innovative approach to improve GBM treatment outcomes with minimal side effects.

This study aimed to use T1 mapping and left atrial feature tracking techniques to distinguish myocardial amyloidosis (CA) from hypertrophic cardiomyopathy (HCM). A retrospective analysis was conducted on 130 subjects who underwent cardiac magnetic resonance examinations from January 2021 to May 2024 at 1.5 and 3.0 T systems. Measurements of global left ventricular myocardial T1 values were performed, a standardized T1 z-score used as an assessment metric to overcome the effects of various manufacturers and field strengths. Left atrial strain was measured with feature tracking techniques. 42 CA patients、58 HCM patients and 30 healthy subjects were analyzed. For both 1.5T and 3.0T systems, the overall T1 values of LV myocardium was significantly higher in the CA group compared with the HCM and control groups (p < 0.001). T1z-scores in the CA and HCM groups were 4.8 ± 2.2 and 3.4 ± 1.9, respectively (p < 0.001). Myocardial strain analysis showed that atrial strain was significantly lower in the CA group when compared with the HCM and healthy control groups (p < 0.05). The correlation between left atrial strain and function parameters was assessed through Spearman correlation analysis. Multivariate logistic regression analysis showed that a combination model including T1z-score and left atrial reservoir function (Es) had an improved ability to discriminate CA and HCM with a higher AUC (0.937), with a sensitivity of 95.2

PURPOSE:Glioblastoma (GBM), an extremely lethal and aggressive cancer with a poor prognosis and limited therapeutic outcomes, exhibits strong resistance to standard therapies owing to anoikis resistance indicating the need for novel treatments. In this study, we used thermoradiotherapy as an integrative approach for GBM to sensitize its resistance to anoikis. EXPERIMENTAL DESIGN:The therapeutic effects of thermoradiotherapy were assessed using cell counting kit-8, colony formation, Transwell, and anoikis assays. Proteomic analysis was performed to identify potential therapeutic targets for thermoradiotherapy. The impact of certain therapeutic target on GBM proliferation, metastasis, and anoikis was identified using EdU, colony formation, Transwell, and anoikis assays. Western blotting and qRT-PCR were used to explore the relevant molecular mechanisms. RESULTS:Thermoradiotherapy inhibited proliferation and metastasis of GBM, and reverses anoikis resistance to improve therapeutic outcomes. Proteomic analysis revealed ITGA5 as a prospective therapeutic target. In vitro and in vivo studies identified that ITGA5 promoted GBM proliferation, metastasis, and anoikis resistance by regulating PI3K/AKT pathway activation. CONCLUSIONS:This study presents a novel thermoradiotherapy for GBM, integrating potent antitumour efficacy and negligible side effects. ITGA5 is a underlying therapeutic target for thermoradiotherapy which related to proliferation, metastasis, and anoikis resistance of GBM.

Background:Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system (CNS). Recent studies have shown that different forms of vascular abnormalities may be related to the pathogenesis of MS. Susceptibility-weighted imaging (SWI) can directly image intracranial venules. The aim of this study was to investigate the association between deep medullary veins (DMVs) and the degree of neurodegeneration in patients with MS. Methods:In this prospective cross-sectional study, 34 patients with MS and 30 age-matched healthy controls (HCs) were recruited. The count and score of DMVs, which can reflect the visibility and continuity of DMVs were evaluated based on SWI. The differences between the group with a high DMV score (DMV >10) and the group with a low DMV score (DMV ≤10) were assessed. The association of DMV change with neurodegeneration neuroimaging markers [including amount and volume of white matter lesion (WML), degree of cortical atrophy, whole-brain atrophy, and deep gray matter (DGM) atrophy] and clinical Expanded Disability Status Scale (EDSS) were observed in patients with MS. Results:It was found that compared with controls, patients with MS (n=34) had a significantly lower DMV count (P<0.001) and a significantly higher DMV score (P<0.001). The low- and high-DMV score groups differed significantly in terms of EDSS (P=0.048) and neurodegeneration neuroimaging indicators, including WML volume (P=0.015), brain parenchymal fraction (BPF) (P=0.047), thalamic fraction (P=0.036), and caudate fraction (P=0.015). In the correlation analysis of the MS group, DMV count was negatively correlated with the number of WMLs (r=-0.535; P=0.001) and the WML volume (r=-0.416; P=0.014) but positively correlated with the neuroimaging measurements reflecting the degree of whole-brain atrophy and DGM atrophy. Furthermore, the DMV score was positively correlated with EDSS (r=0.450; P=0.008), number of WMLs (r=0.490; P=0.003), and WML volumes (r=0.635; P=0.001) but negatively correlated with the neuroimaging measurements reflecting the degree of whole-brain atrophy and DGM atrophy. Conclusions:Reduced DMV visibility and continuity could reflect the severity of neurodegeneration in patients with MS. DMV count and score may be imaging indicators for assessing the severity of MS.

Background:Sudden cardiac death (SCD) represents the most severe complication of hypertrophic cardiomyopathy (HCM). The risk stratification of SCD in patients with HCM remains a subject of ongoing debate, and the utility of left atrial (LA) and left ventricular (LV) myocardial strain for risk stratification of also SCD remains uncertain. Through use of feature-tracking cardiac magnetic resonance (FT-CMR), this study aimed to investigate the attenuation of LA and LV strain in HCM and to assess their predictive value in SCD.Methods:This retrospective and cross-sectional study included patients with HCM who underwent 3.0 T cardiac magnetic resonance (CMR) at a single institution. Feature-tracking strain analysis was conducted to obtain the strain rate (SR) and LV strain and to evaluate LV function. LA strain was measured during different functional phases including left atrial reservoir strain (LARS), LA conduit strain (LACS), and LA booster strain. All patients were categorized into high- and low-risk groups for SCD as defined by the 2020 American Heart Association/American College HCM implantable cardioverter defibrillator class of recommendation algorithm. Comparison between the two groups was conducted using the independent samples t test and the nonparametric rank sum test. Multivariate logistic regression analysis was performed to further identify the factors influencing SCD risk in HCM.Results:Compared with those in the low-risk group, patients in the high-risk group had lower left ventricular ejection fraction (LVEF), LV stroke volume index (LVSVI), and LA stroke volume index (LASVI) but a higher LV end-systolic volume index (LVESVI), LV maximum wall thickness, and late gadolinium enhancement (LGE) (P<0.001). LV strain, SR, and LA strain all showed significant differences between the high- and low-risk groups (LARS: P=0.04; LACS: P=0.02; all other P values <0.001). The LV global circumferential strain (LVGCS) had a strong negative correlation with LVEF in patients with HCM (r=-0.76; P<0.001). Multivariate analysis showed that LV global radial strain (LVGRS) and LARS could be used for categorizing the patients into the high-risk group [LVGRS: odds ratio (OR) =0.69; 95% confidence interval (CI): 0.55-0.87, P<0.001; LARS: OR =1.39; 95% CI: 1.02-1.90, P=0.03]. The combined LVGRS-LARS model exhibited a superior diagnostic value for high risk of SCD [area under the curve (AUC) =0.95; 95% CI: 0.90-1.00; P<0.001] compared to LARS alone (AUC =0.63; 95% CI: 0.51-0.76; P=0.04).Conclusions:LA and LV strain measured by FT-CMR can accurately identify those patients with HCM at a high risk of SCD. This approach may prove considerably value in guiding early therapeutic intervention with implantable cardioverter-defibrillators (ICDs) to prevent adverse clinical outcomes.

Sudden cardiac death (SCD) represents the most severe complication of hypertrophic cardiomyopathy (HCM). However, the relationship between strain, strain rate, and risk factors in SCD risk stratification remains elusive. The study aimed to assess the attenuation of strain and strain rate in HCM by feature-tracking cardiac magnetic resonance (FT-CMR). All strain and strain rates were obtained automatically by FT, with manual adjustment of endocardial and epicardial borders. Strain indicators included left ventricular (LV) global longitudinal (GLS), circumferential (GCS), radial strain (GRS), peak diastolic-longitudinal (PD-LSR), circumferential (PD-CSR), and radial strain rate (PD-RSR). Patients were categorized into high and low-risk groups for SCD based on the 2020 American Heart Association/American College (AHA/ACC) HCM Risk-SCD model. The correlation between strain/strain rate and SCD risk factors was assessed via Spearman correlation analysis. Furthermore, a multivariate logistic regression analysis was conducted to explore the factors that influence SCD risk in HCM patients. A total of 105 HCM patients were analyzed in this study, including 38 patients in the high-risk group, and 67 patients in the low-risk group. Compared to the low-risk group, the high-risk group exhibited significantly worse strain and strain rate (p<0.001). Furthermore, both circumferential and radial strain as well as strain rate exhibited meaningful associations with risk factors for SCD. Additionally, GRS emerged as an independent risk factor for predicting heightened SCD risk in HCM patients (p<0.001). In conclusion, LV strain and strain rate based on FT-CMR can be evaluated for SCD risk and are strongly associated with SCD risk factors.

Background:One of the widespread manifestations of cerebral small vessel disease (CSVD) of the brain parenchyma is white matter lesion, which appears as white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI). Previous studies have illustrated that large artery atherosclerosis is related to CSVD, but the precise progress of pathogenesis remains unknown. High-resolution MRI (HR-MRI) has the ability to delineate intracranial vascular walls, enabling a thorough exploration of the structure and composition of unstable plaques. This study aimed to apply HR-MRI to characterize the wall changes and plaque characteristics of middle cerebral arteries in patients with WMHs and to investigate the correlation between plaque vulnerability parameters and different degrees of WMHs.Methods:In this study, 138 patients with acute ischemic stroke at Harbin Medical University's First Clinical Hospital (May 2021 to October 2023) were cross-sectionally reviewed and underwent conventional brain and HR-MRI using T1-weighted 3D volumetric isotropic turbo spin echo acquisition (T1W-3D-VISTA) of the unilateral middle cerebral artery (MCA). According to Fazekas grade (0-6), the patients were divided into two groups: Fazekas score 0-2, no-or-mild WMHs; and Fazekas 3-6, moderate-to-severe WMHs. The intraplaque hemorrhage, plaque distribution, plaque enhancement, plaque load, remodeling pattern, and stenosis of the two groups were measured. Binary logistic regression analysis was conducted to evaluate the relationship between vulnerable plaques and WMHs.Results:Of the participants who were initially considered for inclusion, 71 were deemed eligible, among whom 34 were placed in the no-or-mild WMH group and 37 in the moderate-to-severe WMH group. Between the two groups, there were significant differences in intraplaque hemorrhage (P=0.01), a wide distribution (P=0.02), and plaque enhancement (P=0.02). Univariate analysis showed that WMHs were associated with age [odds ratio (OR) =1.080; 95% confidence interval (CI): 1.020-1.144; P=0.008], hypertension (OR =3.500; 95% CI: 1.276-9.597; P=0.01), intraplaque hemorrhage (OR =3.955; 95% CI: 1.247-12.538; P=0.02), a wide distribution (OR =3.067; 95% CI: 1.159-8.115; P=0.02), and significant plaque enhancement (OR =4.372; 95% CI: 1.101-17.358; P=0.03); however, the multivariate results showed that the only independent factors associated with WMHs were age (OR =1.095; 95% CI: 1.019-1.176; P=0.01) and intraplaque hemorrhage (OR =5.88; 95% CI: 1.466-23.592; P=0.01).Conclusions:Our findings suggest that age and intraplaque hemorrhage may be associated with more severe WMHs in patients with acute ischemic stroke, which may be helpful for further clinical examination and intervention treatment.

Developing a phototherapy modality to ablate tumor and then trigger immunogenic cell death (ICD) for simultaneously eliminating distal and metastatic tumors holds great promise in clinical applications. Herein, the polyethylene glycol functionalized Ni2P (Ni2P@PEG NPs) is developed with enhanced biocom-patibility, high photoabsorption and photothermal efficiency, as well as reactive oxygen species generation ability. Of particular note, Ni2P@PEG NPs mediated phototherapy could not only realize efficient ablation of primary tumors, but also inhibit distal tumors and metastatic tumors by triggering an antitumor im-mune response. The above conclusions were verified by B mode ultrasound, western blot assay, and im-munohistochemistry analysis. Meanwhile, Ni2P@PEG NPs showed excellent magnetic resonance imaging (MRI) properties. In summary, the MRI-guided multimodal cancer therapies of Ni2P@PEG NPs represent significant potential for clinical applications.(c) 2023 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.

目的 定量评价对比增强高分辨率磁共振血管壁成像(contrast-enhanced high-resolution vessel wall MRI,CE HRVW MRI)联合不同钆基对比剂(gadolinium-based contrast agent,GBCA)对颅内动脉粥样硬化斑块的强化差异.材料与方法 回顾性分析105例因颅内动脉粥样硬化性疾病行CE HRVW MRI检查的患者病例,分为钆布醇组和钆喷酸葡胺组,并把检出的颅内斑块按照强化等级分为0级、1级和2级.在同一斑块强化等级下,比较两种GBCA成像的相关参数,包括信噪比(singal-to-noise ratio,SNR)、对比噪声比(contrast-to-noise ratio,CNR)、对比增强(contrast enhancement,CE)、对比脑比(contrast-to-brain ratio,CBR)、增强率(enhancement ratio,ER).结果 共检出151个斑块,其中钆布醇组检出69个斑块,钆喷酸葡胺组检出82个斑块.在 2 级斑块强化等级下,钆布醇组的 SNR[(168.02±26.89)vs.(155.76±18.71)]、CNR[(76.14±19.10)vs.(61.83±14.88)1、CE[(55.31±19.53)vs.(39.95±15.65)]、CBR[(0.85±0.23)vs.(0.68±0.20)]和 ER[(117.54±0.34)vs.(101.18±0.18)]均高于钆喷酸葡胺(P＜0.05),但上述参数在0级和1级的强化等级下差异无统计学意义(P＞0.05).结论 在2级斑块强化等级下,CE HRVW MRI评价钆布醇对颅内动脉粥样硬化斑块的强化效果优于钆喷酸葡胺.

随着人民对健康的需求日益增加,医生的专业知识需不断更新以实现一切为了人民健康的目标.医学影像学作为现代循证医学的基石,在疾病的病前诊断、病中评估疗效以及病后随访中至关重要.然而科技的飞速发展使得影像技术快速更新,这对我国以传统教学模式为主的医学影像学教育提出了巨大挑战.文章通过阐述目前国内外医学影像学高等教育及继续教育在课程设置、培养目标以及教学方法上的一些成功做法,为我国医学影像学课程改革提供从国外现有模式中可吸收和借鉴的先进经验,说明了我国在医学影像学教育领域改革和发展的不足及应该改进必要性和重要性,以期提高学生的学习自主性,提升影像学的教学品质,为中国医疗卫生事业培养高质量的后备力量和下一代杰出的医务工作者.

生物体内的内源性生物材料具有天然的生物相容性和生物可降解性,在纳米诊断和治疗系统的开发中表现出很多的优势,可用于未来的临床转化.黑色素是一种内源性色素,具有独特的性质,包括金属离子螯合、近红外区强光吸收、自由基淬灭、光保护和生物相容性,在生物医学中有许多潜在的应用.由于其对顺磁性金属阳离子优异的亲和力和良好的生物相容性,使合成黑色素基材料作为磁共振成像对比剂具有特别意义.本文通过介绍螯合几种不同金属阳离子的高弛豫率和高生物相容性的黑色素基对比剂及其应用,使人们更广泛更深入的了解该纳米粒子,也为构建成像与诊疗一体化纳米系统提供新思路.

肥厚型心肌病(HCM)是一种常染色体显性遗传的遗传性心肌病,大约每500入中就有1人发病.[1]近50％的患者没有症状,但其余的患者有可能经历严重的不良事件,包括室性心律失常(VA)、充血性心力衰竭(CHF)和心源性猝死(SCD)[2].识别和确定高危患者,并积极进行临床干预对改善患者预后具有重要意义.

Purpose: The aim of this study was to develop and validate a nomogram model to evaluate lymph node metastasis (LNM) in patients with rectal cancer (RC).Methods: A total of 162 patients with RC between 2019 and 2021 were included in the study. Patients were allocated to a training set and a validation set at a ratio of 7:3. The lymph node (LN) status was evaluated retrospectively from magnetic resonance imaging (MRI) images by two radiologists. Based on 103 radiomic features extracted from T2 weighted images (T2WI), the least absolute shrinkage and selection operator (LASSO) was used to screen and calculate the radiomic feature score (Radscore). The model was constructed using the logistics regression algorithm. The DeLong test and decision curve analysis (DCA) were used to compare the prediction performance and clinical utility of the MRI reported model, the Radscore model, and the complex model constructed by combining the MRI reported and Radscore. The nomogram model was constructed to visualize the prediction results of the best model. Model performance was evaluated in the training and validation groups, and the calibration curve and Hosmer-Lemeshow goodness of fit test were used to evaluate the calibration.Result: This study included 162 patients with RC, including 54 patients with LNM and 108 patients without LNM. All three models constructed by the logistics regression algorithm were good at identifying LNM. The DeLong test and the DCA results showed that the complex model outperformed the MRI-based model and the Radscore model in relation to their predictive performance and clinical utility. The nomogram of the complex model had an area under the curve (AUC) of 0.902 (95% confidence interval (CI): 0.848−0.957) in the training group and an AUC of 0.891 (95% CI: 0.799−0.983) in the validation group. Meanwhile, the calibration curve and the Hosmer-Lemeshow goodness-of-fit test showed good calibration.Conclusion: The nomogram model constructed based on T2WI radiomics and MRI reported had good diagnostic efficacies for LNM in patients with RC, and provided a new auxiliary method for accurate and individualized clinical management.

目的 多形性胶质母细胞瘤(GBM)呈浸润性生长,手术无法完全切除病灶,GBM的精确示踪并识别和清除手术残余病灶仍存在挑战性.文中旨在制备MNP-PEG-Gd纳米粒子并探究其用于脑胶质母细胞瘤磁共振成像和光热治疗的效果. 方法 以黑色素为原料,经过聚乙二醇修饰后再与钆离子(Gd3+)螯合,获得MNP-PEG-Gd纳米粒子.体外表征其理化性质、弛豫率、光热转化率和细胞毒性,并在细胞水平上验证光热治疗效果.体内探究该纳米粒子在裸鼠体内对脑胶质母细胞瘤的成像和光热治疗效果. 结果 制备的MNP-PEG-Gd纳米粒子流体动力学直径约为24nm,表面电荷为(-4.77±1.05)mV,且具有高螯合稳定性和光稳定性.体外磁共振研究得r1值为46.40 mM-1s-1,具有较高的弛豫率.MNP-PEG-Gd的光热转换能力随时间的增加而增强.照射5 min后125、250、500、1000μg/mL的MNP-PEG-Gd水溶液温度最高升至40.1、42.2、49.0和55.0℃,而PBS的温度仅升至30.1℃,有良好的光热转换能力.当MNP-PEG-Gd浓度为250μg/mL时细胞存活率低于89％,当MNP-PEG-Gd浓度为1000μg/mL时细胞存活率仅是30％左右.尾静脉注射该纳米粒子0.5 h后即可显像并可通过肝肾系统清除. 结论 成功制备了MNP-PEG-Gd纳米粒子,其不仅具有良好的生物安全性还具有良好的磁共振成像性能和光热治疗效果,可以为GBM诊疗一体化提供一种新的思路.

目的 探讨在钆塞酸二钠(gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid,Gd-EOB-DTPA)增强MRI中慢性乙型肝炎相关肝硬化患者基于肝叶的信号强度参数与白蛋白-胆红素(Albumin-Bilirubin,ALBI)分级的关系.材料与方法 对62例肝脏正常(n=15)、慢性乙型肝炎相关肝硬化ALBI 1级(n=23)、2级(n=18)、3级(n=6)患者的Gd-EOB-DTPA增强MRI图像进行了分析,分别计算出肝右叶、肝左内叶、肝左外叶、肝尾状叶的肝实质相对增强率(liver relative enhancement,LRE)及肝肌对比率(liver-to-muscle ratio,LMR),并在正常组和不同ALBI分级组之间进行比较.定量分析慢性乙型肝炎相关肝硬化患者各个肝叶的LRE、LMR与ALBI分级的关系,绘制ROC曲线评估各个肝叶区分ALBI 1级和ALBI 2～3级的准确性.结果 正常组和不同ALBI分级组之间各个肝叶的LRE值和LMR值差异有统计学意义(P<0.05).各组两两比较结果 显示各肝叶LRE值在ALBI 2级和ALBI 3级组之间差异无统计学意义(P>0.05),各肝叶LMR值在任意两组之间差异均具有统计学意义(P<0.001).肝硬化患者各个肝叶的LRE、LMR值与ALBI分级呈负相关(P<0.001),肝右叶LRE对于区分ALBI 1级和ALBI 2～3级准确率最高,受试者工作特征曲线下面积为0.913.结论 Gd-EOB-DTPA增强MRI中慢性乙型肝炎相关肝硬化患者基于肝叶的LRE、LMR与肝功能ALBI分级存在相关性,LRE、LMR有望成为评估肝叶功能的影像学手段.

随着多种影像学技术的迅速发展,影像学检查在肿瘤的早期发现、早期诊断中发挥了至关重要的作用.磁共振成像(MRI)有着良好的时间分辨率和优越的空间分辨率,但其灵敏度有限.磁共振对比剂改变了活体组织的内在特性,增加了图像中的信息.靶向纳米系统、多模态纳米探针等纳米技术可提高MRI的敏感度.靶向纳米粒子具有高度的设计灵活性,因此可根据设计者要求特异地提高对比敏感度、结合亲合力、靶向特异性,以用于检测特定位点或特定微环境.本文综述了与磁共振对比剂使用相关的原理,总结了 MRI的纳米粒子成像剂和多模态纳米探针的研究进展.