Objective To evaluate the value of dual-layer spectral CT-derived iodine concentration (IC) and extracellular volume (ECV) in the portal venous phase in assessing hepatic functional reserve. Methods A total of 24 patients who underwent triphasic abdominal spectral CT enhancement scanning between January 2020 and August 2022 were retrospectively enrolled.IC and ECV maps were generated from spectral base data of the portal venous phase,and IC and ECV values were measured in the left lobe,right lobe,and caudate lobe of the liver.Differences in parameters among hepatic lobes were compared by the Kruskal-Wallis test.Pearson or Spearman correlation analysis was performed to assess the relationships of IC and ECV with parameters of the indocyanine green (ICG) clearance test.The key parameters analyzed included the ICG retention rates at 5 min (ICGR5),at 10 min (ICGR10),at 15 min (ICGR15),and the ICG clearance rate (ICG-CR).On the basis of correlation results,multivariate linear regression models were constructed. Results ECV in the right hepatic lobe showed negative correlations with ICGR5 (r=-0.48,P=0.019),ICGR10 (r=-0.48,P=0.019),and ICGR15 (r=-0.47,P=0.021) and a positive correlation with ICG-CR (r=0.48,P=0.019).IC in the right hepatic lobe also showed negative correlations with ICGR5 (r=-0.52,P=0.009),ICGR10 (r=-0.52,P=0.009),and ICGR15 (r=-0.53,P=0.008) and a positive correlation with ICG-CR (r=0.52,P=0.009).IC in the right hepatic lobe demonstrated the best predictive performance for ICGR5 (y=0.62-0.16×IC,R2=0.26,P=0.011) and ICG-CR (y=0.09-0.07×IC,R2=0.32,P=0.004),whereas ECV was not selected in the multivariate regression model. Conclusion The dual-layer spectral CT-derived IC in the portal venous phase of the right hepatic lobe demonstrates significant clinical relevance with hepatic functional reserve,potentially serving as a non-invasive imaging biomarker for liver function assessment.

Objective To investigate the clinical value of quantitative parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in distinguishing between benign and malignant lesions of the head and neck. Methods A retrospective cohort study was conducted.A total of 79 patients with pathologically confirmed space-occupying lesions of the head and neck were enrolled and were assigned into a benign group (n=37,including mucosal polyps and inverted papillomas) and a malignant group (n=42,all being squamous cell carcinomas).All the patients underwent preoperative 3.0T MRI conventional sequences and DCE-MRI scans.The Extended Tofts model was adopted to obtain quantitative parameters:volume transfer constant (Ktrans),rate constant,and extravascular extracellular space volume fraction (Ve).The Mann-Whitney U test was performed to compare intergroup differences,and receiver operating characteristic curves were generated to evaluate the diagnostic performance of each parameter. Results The malignant group exhibited higher Ktrans[0.250 (0.217,0.345)/min vs.0.153 (0.132,0.167)/min] and Ve[0.644 (0.402,0.880) vs. 0.294 (0.211,0.437)] than the benign group (both P<0.001).Receiver operating characteristic curves analysis demonstrated that Ktrans had the optimal diagnostic performance (area under the curve=0.923,95%CI=0.167-0.225),with the sensitivity of 88.1% and the specificity of 89.2% at a cut-off value of 0.187/min.Ve showed moderate performance (area under the curve=0.796,95%CI=0.354-0.560),achieving the sensitivity of 85.7% and the specificity of 69.4% at a cut-off value of 0.355. Conclusion Among the quantitative parameters of DCE-MRI,Ktrans demonstrates excellent value for differentiating between benign and malignant lesions of the head and neck,serving as a reliable independent predictor and providing critical imaging evidence for preoperative noninvasive evaluation.

Background: Temporomandibular disorders (TMD), particularly pain-related TMD (TMDp), are closely associated with social and psychological factors. However, the neuromechanisms of pain of TMDp are still currently unclear. This study aimed to investigate the altered topological properties of the brain network in the TMDp patients using resting-state functional magnetic resonance imaging (rs-fMRI), and to explore the association between these parameters and emotional and clinical variables of TMDp. Methods: A total of 41 TMDp patients and 33 age- and gender-matched healthy controls (NCs) were recruited, and rs-fMRI data were obtained from a 3.0T MR scanner. The topological properties of brain functional networks were calculated based on the rs-fMRI data and were compared between two groups to investigate the altered topological characteristics in TMDp. The correlation analysis was also performed between the abnormal topological characteristics and the clinical variables in TMDp patients. Results: TMDp patients presented significantly decreased clustering coefficient (Cp) and decreased local efficiency (Eloc) when sparsity threshold was 0.05 and 0.06 compared with NCs (p < 0.05), and the Eloc values when sparsity threshold was 0.06 were positively correlated with depressive (r = 0.319, p = 0.042) and anxious (r = 0.348, p = 0.026) variables in TMDp patients. Conclusions: The current study demonstrated the abnormal topological changes of the brain network were observed in TMDp, which could be helpful in understanding the neuromechanisms of pain of TMDp. The topological properties of the brain network based on rs-fMRI could be considered as a new simple tool to monitor the dysfunction network of the brain in TMDp.

Numerous studies have demonstrated that the locus coeruleus (LC) is activated by acute, nociceptive pain and plays an important role in the management of chronic pain. The purpose of this study was to assess the morphology and cerebral blood flow (CBF) changes in the LC of chronic migraine (CM) patients and explore the associations between these changes and the clinical features of these patients via three-dimensional pseudocontinuous arterial spin labelling (3D PCASL) in order to better elucidate the role of the LC in the pathophysiology of CM. Thirteen patients diagnosed with CM at the Department of Neurology, Hainan Hospital of PLA General Hospital, from May 2020 to June 2021 were prospectively included, and fifteen age- and sex-matched normal controls (NCs) were enrolled. All participants underwent psychoneurological assessments and brain structural and 3D PCASL MRI examinations. Brain region volume and CBF alterations were assessed, their associations with clinical scores were analysed, and receiver operating characteristic (ROC) curve analysis was conducted to determine the variables that best differentiated between the groups. No significant differences were found in the total volume of the LC between CM patients and NCs (P > 0.05). Compared with that in the NCs, the CBF of the bilateral LCs was lower in CM patients; the difference on the right side was statistically significant (P = 0.031). Correlation analysis revealed a negative correlation between the CBF of the LC and disease duration (in years). ROC curve analysis revealed that the area under the curve of the CBF of the right LC was 0.749 (95

To establish morphological and radiomic models for early prediction of cognitive impairment associated with cerebrovascular disease (CI-CVD) in an elderly cohort based on cerebral magnetic resonance angiography (MRA). One-hundred four patients with CI-CVD and 107 control subjects were retrospectively recruited from the 14-year elderly MRA cohort, and 63 subjects were enrolled for external validation. Automated quantitative analysis was applied to analyse the morphological features, including the stenosis score, length, relative length, twisted angle, and maximum deviation of cerebral arteries. Clinical and morphological risk factors were screened using univariate logistic regression. Radiomic features were extracted via least absolute shrinkage and selection operator (LASSO) regression. The predictive models of CI-CVD were established in the training set and verified in the external testing set. A history of stroke was demonstrated to be a clinical risk factor (OR 2.796, 1.359–5.751). Stenosis ≥ 50

Background: To conduct a bibliometric analysis mapping the intellectual landscape and emerging trends in Magnetic resonance imaging (MRI) research of temporomandibular disorders (TMD), identifying knowledge gaps and future directions. Methods: A total of 1017 articles were retrieved from the Web of Science Core Collection (WOSCC) database from 1995 to 2024 using the search formula: TS (Topic Search) = ("Temporomandibular Disorders" OR "Temporomandibular Joint Disease" OR TMD) AND TS = ("Magnetic Resonance Imaging" OR MRI). Author/country collaboration network, co-citation analysis, keyword clustering, and burst detection were conducted via CiteSpace 6.4.R1 (Parameters: Time slice: 1 year; g-index k = 25; Log-Likelihood Ratio clustering). Results: Annual publications exhibited triphasic growth, peaking at 75 articles in 2022. The United States (160 articles, centrality = 0.22) dominated global collaborations, while Shanghai Jiao Tong University emerged as the most productive institution (30 articles). Key clusters revealed 15 clusters (Q = 0.4235, S = 0.7521), with core clusters including "juvenile idiopathic arthritis" and "deep learning". Burst strength identified four major research frontier directions: analysis of pathological characteristics of diseases (morphology with a burst strength of 4.49; anterior disc displacement with a burst strength of 3.69); innovation in imaging examination methods (ultrasonography with a burst strength of 3.61; cone-beam computed tomography with a burst strength of 3.51); development of intelligent diagnostic technologies (diagnostic criteria with a burst strength of 12.09; deep learning with a burst strength of 5.81); and support for clinical management applications (management with a burst strength of 4.62). Conclusions: This study delineates an evolving research paradigm integrating Artificial Intelligence (AI)-driven diagnostics with multimodal imaging.

Background Pain with a persistent and recurrent onset is one of the most important symptoms of temporomandibular disorders (TMD). Recent evidence indicated the dysfunction of the central nervous system was more linked to TMD pain. This study aimed to explore the abnormal structural and perfusion alterations in patients with painful TMD (p-TMD) to understand the comprehension of neuro-pathophysiological mechanisms. Methods Forty-one p-TMD patients and 33 normal controls (NC) were recruited, and high-resolution structural brain and 3D PCASL data were obtained from a 3.0T MR scanner. The voxel-based analysis of the whole cerebral gray matter (GMV) was performed, and the GMV and cerebral blood flow (CBF) value of the altered positive areas were extracted to investigate the significant correlation with clinical variables. Results The brain regions with significantly increased GMV in p-TMD group were listed as follows: right putamen, right superior frontal gyrus, left superior frontal gyrus medial segment, right supplementary motor cortex, left postcentral gyrus, right middle temporal gyrus, right postcentral gyrus medial segment, right temporal pole, right inferior temporal gyrus and right opercular part of the inferior frontal gyrus (Punc<0.001, cluster>39). However, there were no brain regions with significantly decreased GMV in the p-TMD group. Cerebral perfusion analysis identified that only the right postcentral gyrus medial segment presented significantly higher CBF value in the p-TMD group than in the NC group over all the brain regions with increased GMV. Within the p-TMD group, pain intensity, anxiety, depression, and jaw functional limitation scores were differentially associated with GMV and CBF value. Conclusion The voxel-based morphometric and perfusion findings collectively implicate maladaptive plasticity in both the sensory-discriminative and affective-motivational dimensions of pain processing in p-TMD pathophysiology.

Background: Pain is a significant indicator of temporomandibular disorders (TMDs), which are impacted by a complex process. Recently, the evolution and chronification of painful TMD (p-TMD) have been facilitated by central nervous system mechanisms. Therefore, the purpose of this study was to investigate the aberrant brain structure in p-TMD patients using surface-based morphometry (SBM) analysis. Methods: This study recruited forty-one p-TMD patients and 33 normal controls (NC) who underwent high-resolution brain structural imaging on a 3.0T MR scanner. SBM analysis was applied to the brain structural images, and the surface parameters, including the cortical thickness, fractal dimension, sulcus depth, and gyrification index, were measured. The independent two-sample t-test by SPM12, with age and gender as covariates, was used to investigate the differences in p-TMD patients compared with the NC. Results: The p-TMD group had significantly decreased cortical thickness in the left lateral occipital cortex and significantly decreased fractal dimension in the left paracentral, right pars opercularis, right rostral middle frontal, left lingual, and right inferior temporal cortices when compared with NCs. However, there were no significant differences in sulcal depth and gyrification index between the two groups. Conclusion: This study demonstrated decreased cortical thickness and fractal dimension in p-TMD patients, which may be associated with abnormal neural mechanisms underlying the brain's processing of emotions and pain. The SBM technology may offer additional independent morphological characteristics for investigating the structure of the brain.

BACKGROUND:Direct evidence of choroid plexus structures involved in the presumed peripheral-central interaction in migraine is exceptionally scarce and, thus, which demands further attention. OBJECTIVES:Our objective is to assess choroid plexus volumetric changes quantitatively in episodic and chronic migraine patients versus age and sex compared normal controls, and to elucidate the differences. METHODS:Total sixty-five participants including 18 episodic migraine patients, 16 chronic migraine patients and 31 normal controls were recruited and underwent brain MRI examinations with 3.0 T MR strength between September 2021 to May 2023. The choroid plexus of the ventricles was segmented automatically on T1-weighted MRI sequences using the FreeSurfer (Version 7.4.1) software. Lateral ventricular choroid plexus volume was normalized as the ratio of choroid plexus to ipsilateral lateral ventricle volume (CP/LV). Group differences were assessed cross-sectionally. The accuracy of CP/LV for prediction of migraine was assessed using the receiver operating characteristic curves analysis. RESULTS:Patients with migraine were more anxious and depressive, with heavier headache burden and impaired cognitive ability. Statistical analysis revealed group differences of the CP/LV in the right side. CP/LV ration decreased in episodic migraine patients, but the CP/LV size increased in chronic migraine patients. CP/LV of the right side was able to differentiate episodic migraine from controls with area under the ROC curve (AUC) 0.696 (95 % CI: 0.550-0.818, sensitivity 100 %, specificity 46.8 %, and the cut-off value 0.0741, P < 0.05). The diagnostic efficacy was marginally higher in distinguishing chronic migraine from episodic migraine with AUC 0.715(95 % CI: 0.536-0.856, sensitivity 50 %, specificity 94.4 % and the cut-off value 0.0725, P < 0.05). CONCLUSION:Our finding suggested dynamic alteration of Lateral ventricular choroid plexus volume in the pathogenesis of migraine. The normalized CP/LV was associated with different migraine subtype. The normalized CP/LV can be used as a potential imaging biomarker for migraine diagnosis.

Hypothalamus is a crucial deep brain area that is responsible for the integration and coordination of various brain functions. The altered perfusion of hypothalamus during headache caused by medication-overuse headache (MOH) was previously unknown. In the current study, the altered perfusion of hypothalamic subregions in MOH patients was investigated using state-of-the-art 3D pseudo-continuous arterial spin labeling (PCASL) MR imaging. In this study, 29 normal controls subjects (NCs) and 29 MOH patients underwent 3D PCASL and brain structural MR imaging. The hypothalamus was automatically segmented into 10 subunits and the volume of each subunit was automatically determined using Freesurfer software (v7.4.1). All segmented hypothalamic subunits were converted to individual hypothalamic subunit masks. The cerebral blood flow (CBF) images were coregistered with the raw brain structural images and resliced. The CBF value of each hypothalamic subunit was extracted from the warped CBF images. The volume and CBF value of each hypothalamic subunit were analyzed using the independent sample T test and Mann-Whitney U test, receiver operating characteristic (ROC) curve analysis, and Pearson and Spearman correlation analysis. Hypothalamic subunits with significantly decreased perfusion were located in the left posterior, left tubular superior, right anterior-inferior, right tubular inferior, right tubular superior, right posterior subunit and the entire right hypothalamus [CBF value for MOH vs NC (mL/100 gmin): 48.41 +/- 6.75 vs 54.08 +/- 11.47, 44.44 +/- 4.79 vs 48.11 +/- 7.73, 41.49 (32.90, 61.46) vs 49.38 +/- 10.47, 46.62 +/- 7.04 vs 53.90 +/- 11.75, 42.12 +/- 5.74 vs 47.02 +/- 9.99, 42.79 +/- 5.15 vs 47.93 +/- 10.48 and 43.58 +/- 5.06 vs 48.65 +/- 9.33, respectively] in MOH compared to NC (P < 0.05). ROC analysis for these positive subunits revealed that area under the curve was 0.658-0.693, and ROC curve for left posterior subunit had the highest specificity of 93.10% while the entire right hypothalamus had the highest sensitivity of 72.41%. Further correlation analysis showed that the CBF value of the left posterior, right anterior-inferior, right tubular superior, whole right hypothalamus presented significantly negative correlation with Hamilton Depression Scale (HAMD) score (P < 0.05). Hypoperfusion of hypothalamic subunits may contribute to the understanding of MOH pathogenesis, and the 3D PCASL could be considered as a potential diagnostic and assessment tool for MOH.

Background:: A contrast agent-free approach would be preferable to the frequently used invasive approaches for evaluating cerebral perfusion in chronic migraineurs (CM). In this work, non-invasive quantitative volumetric perfusion imaging was used to evaluate alterations in cerebral perfusion in CM. Methods:: We used conventional brain structural imaging sequences and 3D pseudo-continuous arterial spin labeling (3D PCASL) to examine thirteen CM patients and fifteen normal controls (NCs). The entire brain gray matter underwent voxel-based analysis, and the cerebral blood flow (CBF) values of the altered positive areas were retrieved to look into the clinical variables' significant correlation. Results:: Brain regions with the decreased perfusion were located in the left postcentral gyrus, bilateral middle frontal gyrus, left middle occipital gyrus, left superior parietal lobule, left medial segment of superior frontal gyrus, and right orbital part of the inferior frontal gyrus. White matter fibers with decreased perfusion were located in bilateral superior longitudinal tracts, superior corona radiata, external capsules, anterior and posterior limbs of the internal capsule, anterior corona radiata, inferior longitudinal fasciculus, and right corticospinal tract. However, the correlation analysis showed no significant correlation between the CBF value of the above positive brain regions with clinical variables (p > 0.05). Conclusion:: The current study provided more useful information to comprehend the pathophysiology of CM and revealed a new insight into the neural mechanism of CM from the pattern of cerebral hypoperfusion.

Bone infarction has a low incidence in clinical practice and mostly occurs in the metaphysis and diaphysis.Few studies report the advanced imaging technique for bone infarction.Here we reported the fast field echo resembling a CT using restricted echo-spacing and calcium-suppressed spectral CT imaging for a case of multifocal bone infarcts in both lower extremities,aiming to provide diagnostic experience for clinical practice.

To observe the structure of temporomandibular joint (TMJ) in patients with TMD by magnetic resonance imaging (MRI), and to investigate the related factors of anterior disc displacement in patients with TMD.Which were classified into TMD without displacement group (97 TMJs), anterior displacement (147TMJs, including anterior displacement with reduction 69 TMJs and without reduction 78 TMJs), the observed variables were focused on the bone structures of TMJ ( the depth, the anteroposterior diameter, the index of TMJ fossa, the morphology, location, medial-lateral diameter, anteroposterior diameter and the index of TMJ condyle) and the other structures indexes involved in the temporomandibular movement (mouth opening movement range, soft tissue of bilaminar region, superior band of the bilaminar zone, morphology and signal of the lateral pterygoid muscle(LPM), joint effusion, osteoarthritis). The three groups were subjected to one-way analysis of variance and chi-square test, while binary logistic regression analysis was employed to establish a regression model and construct the receiver operating characteristic curve. The present study demonstrated that various structural and clinical factors, particularly the altered bone structure of the TMJ, hypertrophy of the LPM, and joint effusion, significantly contribute to the ADD in patients with TMDs.

AbstractBackground and purposeQuantitative susceptibility mapping (QSM) technique was a new quantitative magnetic resonance imaging technique to evaluate the cerebral iron deposition in clinical practice. The current study was aimed to investigate the reproducibility of the volumetric susceptibility value of the subcortical gray nuclei at two different MR vendor with the same magnetic strength.MethodsCerebral magnitude and phase images of 21 normal subjects were acquired from a 3D multiecho enhanced gradient recalled echo sequence at two different 3.0T MR scanner, and then the magnetic susceptibility images were generated by STI software. The brain structural images were coregistered with magnitude images and generated the normalized parameters, and then generated the normalized susceptibility images. The subcortical gray nuclei template was applied to extract the volumetric susceptibility value of the target nuclei.ResultsICC value (95% CI) of the caudate, putamen and GP were 0.847 (0.660–0.935), 0.848 (0.663–0.935) and 0.838 (0.643–0.931), respectively. The ICC value of the thalamus was 0.474 (0.064–0.747). Ninety‐five point two percent (20/21) of the difference points of the susceptibility located between the 95% LA for the caudate at the two different 3.0T MR scanner, while the less than 95% of the difference points of the susceptibility value located between the 95% LA for the putamen, globus pallidus and thalamus.ConclusionThe current study identified that the caudate had the stable reproducibility of the magnetic susceptibility value, and the other basal ganglion nuclei should be cautious for the quantitative evaluation of the magnetic susceptibility value at different 3.0T MR scanner.

AbstractBackgroundThe periaqueductal gray (PAG) is at the center of a powerful descending antinociceptive neuronal network, and is a key node in the descending pain regulatory system of pain. However, less is known about the altered perfusion of PAG in chronic migraine (CM).AimTo measure the perfusion of PAG matter, an important structure in pain modulation, in CM with magnetic resonance (MR) perfusion without contrast administration.MethodsThree‐dimensional pseudocontinuous arterial spin labeling (3D‐PCASL) and brain structure imaging were performed in 13 patients with CM and 15 normal subjects. The inverse deformation field generated by brain structure image segmentation was applied to the midbrain PAG template to generate individualized PAG. Then the perfusion value of the PAG area of the midbrain was extracted based on the individual PAG mask.ResultsCerebral blood flow (CBF) value of PAG in CM patients (47.98 ± 8.38 mL/100 mg min) was significantly lower than that of the control group (59.87 ± 14.24 mL/100 mg min). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve was 0.77 (95% confidence interval [CI], 0.60, 0.94), and the cutoff value for the diagnosis of CM was 54.83 mL/100 mg min with a sensitivity 84.60% and a specificity 60%.ConclusionImaging evidence of the impaired pain conduction pathway in CM may be related with the decreased perfusion in the PAG, which could be considered as an imaging biomarker for the diagnosis and therapy evaluation.

BACKGROUND:Although the amygdala has structural and functional abnormalities in Chronic Migraine (CM), less is known about the altered perfusion of the amygdala in CM. OBJECTIVE:The current study aimed to assess amygdala perfusion in CM using a contrast agent-free and quantitative approach. METHODS:15 Normal Controls (NC) and 13 patients with CM during the migraine interval were assessed for brain structure and subjected to 3D Pseudo- Continuous Arterial Spin Labeling (3D-PCASL) MR imaging. The Cerebral Blood Flow (CBF) value of the amygdala was automatically extracted based on the individual amygdala mask for all participants. The independent sample t-test, Receiver Operating Characteristic (ROC) curve, and correlation analysis were used to evaluate the perfusion changes in CM. RESULTS:Bilateral amygdala cerebral perfusion was lower in CM (left amygdala, 42.21±4.49 ml/100mg/min; right amygdala, 42.38±4.41 ml/100mg/min) than in NC (left amygdala, 48.31±6.92 ml/100mg/min; right amygdala, 47.88±6.53 ml/100mg/min) (left, p = 0.01; right, p = 0.02). There was no significant correlation between the perfusion of bilateral amygdalas and the clinical variables. Also, there was no significant difference in the volume of bilateral amygdalas between the two groups. The Area Under the Curve (AUC) of the CBF values of the left and right amygdala was 0.78 (95%CI: 0.58-0.91) and 0.75 (95%CI: 0.55-0.89), respectively. The cut-off value was 44.24 ml/100mg/min (left amygdala, with sensitivity 76.90% and specificity 78.70%) and 46.75 ml/100mg/min (right amygdala, with sensitivity 92.3% and specificity 58.80%), respectively. CONCLUSION:CM presented bilateral hypoperfusion in the amygdala, offering potential diagnostic value in distinguishing CM from NC. The 3D-PCASL could be regarded as a simple and efficient neuroimaging tool to assess the perfusion status in CM patients.

Uterine tumors resembling ovarian sex cord tumors are rarely reported with limited imaging findings.The current study reported two case of uterine tumors resembling ovarian sex cord tumors and described the detailed MRI findings,which would provide valuable imaging evidence for the diagnosis of such tumors.

目的 探讨光谱CT定量增强参数对结直肠癌的诊断价值.方法对46例行腹盆部光谱CT三期增强的结直肠癌患者的能谱基数据进行处理,生成无水碘图、动脉增强分数(AEF)图及细胞外容积(ECV)图,分别测量肿瘤及正常肠壁的碘浓度(IC)、AEF及ECV值.采用独立样本t检验及Mann-Whitney U检验进行组间比较,并采用ROC曲线评价其诊断效能.结果结直肠癌病变的AEF及IC值大于正常肠壁AEF值及IC值(0.338±0.122 vs 0.225±0.072,1.007±0.402 mg/mLvs 0.599±0.229 mg/mL,P<0.0001),ECV在结直肠癌病变与正常肠壁间的差异无统计学意义(P>0.999).AEF、IC、ECV及三者联合诊断结直肠癌的ROC曲线下面积分别为0.806、0.797、0.671及0.842,其约登指数分别为0.565、0.565、0.326及0.609.三者联合诊断结直肠癌的截断值为0.660,敏感度为63.04%,特异性为97.83%,其逻辑回归方程为Y= 13.75×AEF+16.30×ECV-6.70.结论光谱CT定量增强参数AEF、ECV及IC联合诊断对结直肠癌的诊断具有一定价值.

目的 应用纹理分析技术初步评估冠状动脉粥样硬化患者冠周脂肪组织学的改变.方法 选取解放军总医院海南医院220例行冠状动脉CT血管成像的患者,其中正常组110例,病变组(包含钙化、非钙化及混合斑块)110例,分别对其在冠状动脉三支主干近端(右冠状动脉、左冠前降支、回旋支)多平面重建图像上选取显示靶斑块周围脂肪组织较清晰层面进行纹理特征分析,选取角二阶矩、对比度、自相关、逆差距、熵5个纹理特征参数,采用Mann-Whitney U检验各组之间的纹理特征差异.结果 正常组与病变组的5个纹理特征参数的差异均有统计学意义(P角二阶矩<0.001,P对比度<0.001,P自相关<0.001,P逆差距<0.001,P熵<0.001),两组间冠周脂肪组织纹理特征存在差异,各纹理参数均具有较好的诊断价值.ROC曲线证实5个纹理特征的曲线下面积均大于0.8,具有较高的诊断价值.结论 正常组与病变组的冠状动脉周围脂肪组织的纹理特征不同,纹理特征分析技术可基于冠状动脉CT血管成像检查,初步评估冠状动脉粥样硬化患者的冠周脂肪组织学改变.

INTRODUCTION:Although iron deposition has been identified as a significant migraine trigger, the key structures in episodic migraine (EM) remain unknown.OBJECTIVE:The aim of this study is to investigate cerebral iron deposition in EM using an advanced voxel-based quantitative susceptibility mapping (QSM).METHODS:A multi-echo gradient echo sequence MR was performed in 15 episodic migraine patients (EMs) and 27 normal control subjects (NCs). The reconstructed quantitative susceptibility mapping images and voxel-based analysis were performed over the entire brain. The susceptibility value of all brain regions with altered iron deposition was extracted, and the correlations between susceptibility value and clinical variables (including HAMA, HAMD, MoCA, VAS, MIDAS score, diseased duration, and headache frequency) were calculated.RESULTS:EM patients presented increased susceptibility value in the left putamen and bilateral substantia nigra (SN) compared with NC. There was no correlation between susceptibility value and the clinical variables.CONCLUSION:Increased brain iron deposition in the extrapyramidal system may be a biomarker for migraine, and abnormal iron metabolism may be involved in the extrapyramidal mechanism. The QSM technique would be an optimal and simple tool for clinical practice and research in iron measurement.