Evaluation of myocardial strain in patients with subclinical hypertrophic cardiomyopathy and subclinical Hypertensive Heart Disease using Cardiac magnetic resonance feature tracking.

The evaluation of cardiac magnetic resonance feature tracking may have great diagnostic value in hypertrophic cardiomyopathy and hypertensive heart disease. Exploring the diagnostic and clinical research value of cardiac magnetic resonance feature tracks in evaluation of myocardium deformation in patients with subclinical hypertrophic cardiomyopathy(SHCM)and subclinical hypertensive heart disease(SHHD). Cardiovascular Magnetic Resonance (CMR) scans were performed on a 1.5 T MR scanner in 33 patients with SHCM, 31 patients with SHHD, and 27 controls(NS). The CMR image post-processing software was used to analyze the characteristics of routine cardiac function, different global and regional myocardial strain in each group. Analysis of variance (ANOVA) was used to compare age, blood pressure, heart rate, routine cardiac function, body mass index (BMI), as well as the strain between different segments within each of the three groups. Once a significant difference was detected, a least significant difference (LSD) comparison would be performed. The diagnostic efficacy of different parameters in differentiating SHHD from SHCM was evaluated through receiver operating characteristic (ROC) curve analysis, and the best cut-off value was determined. There was no statistical difference among three groups (P>0.05) in routine cardiac function while significant statistical differences were found in the global myocardial strain parameters and the peak strain parameters of some segments (especially basal segments) (P < 0.05). The global radial peak strain (GRPS) was most effective (AUC = 0.885, 95% CI: 0.085-0.971, P<0.001) with a sensitivity and specificity of 84% and 88% at a cut-off value of 40.105, contributing to distinguishing SHCM from SHHD group. Cardiac magnetic resonance feature tracking could detect left ventricular deformation in patients with SHCM and SHHD group. The abnormality of strain has important research value for subclinical diagnosis and clinical evaluation.

Value of cardiac magnetic resonance feature tracking technology in the differential diagnosis of isolated left ventricular noncompaction and dilated cardiomyopathy.

Background: This study explored the value of myocardial strain in the differential diagnosis of isolated left ventricular myocardial noncompaction (ILVNC) and dilated cardiomyopathy (DCM) using cardiac magnetic resonance (CMR) feature tracking technology. Methods: This retrospective analysis was performed on consecutive patients (25 with ILVNC, 30 with DCM, and 30 healthy controls) presenting to Shanxi Cardiovascular Hospital. All ILVNC patients met echocardiographic and CMR criteria for ventricular non-compaction. All patients with DCM met the 2016 American Heart Association and 2018 Chinese Medical Association Cardiovascular Branch diagnostic criteria. cvi42 software (Circle Cardiovascular Imaging) was used to measure radial, circumferential, and longitudinal strain (LS) globally and in segments of the left ventricle. Analysis of variance was used to compare strains among groups and among different segments within the same group. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of different parameters in ILVNC and DCM. Results: Basal circumferential strain was lower in the DCM than in the ILVNC group (P=0.05). Both median and apical LS were lower in the ILVNC than in DCM group (P=0.02 and P=0.01, respectively). ROC curves showed that apical LS was the most effective in distinguishing ILVNC from DCM [area under the curve (AUC) =0.883; P<0.001; 95% CI: 0.850-0.977]. Comparing strains among different segments within the same group revealed that in DCM, the circumferential and LS of the apex were higher than those of the basal segment, which is consistent with the pattern in healthy controls; however, has no such regular pattern was seen in ILVNC. Conclusions: Myocardial strain parameters are of considerable value in the differential diagnosis of ILVNC and DCM. Differences in patterns between ILVNC and DCM can be sensitively identified, providing more comprehensive information for early clinical diagnosis.

Detection of age related differences in CBF with PCASL using 2 post label delays.

BACKGROUND: The brain is reliant on an abundant and uninterrupted CBF for normal neural function because it is an organ with high metabolic activity and limited ability to store energy. PURPOSE: This study aimed to compare age-related variations in CBF measured with PCASL. METHODS: This prospective study included healthy volunteers at the Radiology Department of Shanxi Cardiovascular Hospital between October 2018 and July 2019. The volunteers were divided into three groups (n = 30 per group): young (≤44 years), middle-aged (45-59 years) and elderly (≥60 years). CBF was measured by PCASL using 2 post label delays (PLD) (PLD = 1.5 s, 2.5 s), and compared between PLDs and groups. The relation between CBF value and age was assessed by Pearson correlation analysis. RESULTS: For PLD = 1.5 s, CBF differed significantly between groups for all brain regions (P < 0.05), with higher values in the young group and lower values in the elderly group. For PLD = 2.5 s, the young and middle-aged groups had broadly comparable CBF values, whereas the elderly group had higher CBF values (P < 0.05) for most brain regions. For both PLDs, no brain regions showed significant differences in CBF values between males and females. The CBF of all brain regions was negatively correlated with age for PLD = 1.5 s (P < 0.05) but not PLD = 2.5 s. Compared with PLD = 1.5 s, PLD = 2.5 s yielded lower CBF values for the young group and higher CBF values for the elderly group. CONCLUSION: 3D-pCASL with dual PLDs can non-invasively evaluate age-related changes in CBF in healthy people.

Diffusion Kurtosis Imaging Reflects GFAP, TopoIIα, and MGMT Expression in Astrocytomas.

OBJECTIVE: Preliminary study of magnetic resonance (MR) diffusion kurtosis imaging (DKI) assessing the pathological glial fibrillary acidic protein (GFAP), TopoIIα, and O 6-methylguanine-DNA methyltransferase (MGMT) expression in astrocytomas. MATERIALS AND METHODS: This study was approved by the local ethics committee, and informed consent was obtained from all participants. Sixty-six cases with pathologically proven astrocytomas were enrolled in this study; of which, 34 were high grade and remaining 32 were low grade. They patients underwent conventional MRI head scan, DKI scan, and enhanced scan under the same conditions. Fractional anisotropy (FA) and mean kurtosis (MK) calculated from DKI, as well as GFAP, TopoIIα, and MGMT expression level were compared prospectively between high and low-grade astrocytomas. Spearman rank correlation analysis was used for comparing values of DKI and GFAP, TopoIIα, and MGMT expression level in the two groups. RESULTS: The MK values were significantly higher in high-grade astrocytomas than those in low-grade astrocytomas (P < 0.05); FA values demonstrated no significant difference between the two groups (P = 0.331). GFAP expression level was significantly lower in high-grade astrocytomas than in low-grade astrocytomas (P < 0.05). Topo-IIα expression level were significantly higher in high-grade astrocytomas than in low-grade astrocytomas (P < 0.05). There was no significant difference in MGMT expression level between the two groups (P = 0.679). MK values were negatively correlated with the expression of GFAP (r = -0.836; P = 0.03), however, they were positively correlated with the expression of Topo-IIα (r = 0.896; P = 0.01). FA values were not correlated with the expression of GFAP (r = 0.366; P = 0.05), Topo-IIα (r = -0.562; P = 0.05), and MGMT (r = -0.153; P = 0.10). CONCLUSION: MK, the DKI parameter values of astrocytomas, was significantly correlated to the expression of GFAP and TopoIIα. To a certain extent, applying DKI may provide the biological behavior of tumor cell differentiation, proliferation activity, invasion and metastasis, and can guide individual treatment.