Prognostic Value of Cardiac-MRI Scar Heterogeneity Combined With Left Ventricular Strain in Patients With Myocardial Infarction.

BACKGROUND: Sudden cardiac death (SCD) after myocardial infarction (MI) is mostly caused by ventricular arrhythmias. As an arrhythmogenic substrate, infarct border zone (BZ) results in adverse electrophysiological properties. PURPOSE: To explore myocardial scar entropy (BZ, infarct core [IC], BZ + IC, expressed as IBZ) and to investigate their prognostic value combined with left ventricular (LV) strain parameters (global radial strain [GRS], global circumferential strain [GCS], global longitudinal strain [GLS]) in patients after MI. STUDY TYPE: Prospective. POPULATION: One hundred fifty-seven patients with previous MI, 26 in primary endpoint events group, 30 in secondary endpoint events group, and 43 in total endpoint events (primary + secondary). FIELD STRENGTH/SEQUENCE: 3.0 T/cine, late gadolinium enhancement (LGE). ASSESSMENT: Three-dimensional feature tracking analysis for three directions (radial, circumferential, and longitudinal), entropy and extent of infarct-related areas (BZ, IC, and IBZ), LV functional parameters. STATISTICAL TESTS: Student t-test, Mann-Whitney U, Spearman or Pearson rank correlation analysis, receiver operating characteristic curve, Kaplan-Meier event-free survival curve, and Cox proportional hazards regression were used. Results were considered statistically significant at P < 0.05. RESULTS: LGE extent and entropy of all infarct-related areas (BZ, IC, and IBZ) were significantly higher and GLS were lower in patients with endpoint events than those without. BZ and IBC entropy were further associated with LV strain in after-MI patients. In the univariable and multivariable Cox analysis, BZ entropy manifested independent association with primary endpoint events (hazard ratio: 3.859; 95% confidence interval: 2.136-6.974). Primary and secondary endpoint events prognostic value was improved by the addition of BZ entropy and GLS to the LVEF model (Delong test, Z = 2.729 for primary endpoint events; Z = 3.230 for secondary endpoint events). DATA CONCLUSION: Entropy of myocardial fibrosis was associated with LV strain. Assessment of BZ entropy and GLS improved prognostic value for endpoint events of LVEF. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 5.

Endometriosis in an ectopic kidney: a rare case report and literature review.

BACKGROUND: Endometriosis mainly occurs in female pelvic organs. Endometriosis in the kidney is extremely rare. CASE PRESENTATION: We herein describe a case of a 19-year-old girl with occasional mild abdominal pain associated with an ectopic left kidney. SPECT-CT showed no abnormal radioactive distribution in the left pelvis, suggesting loss of function of the ectopic kidney. Laparoscopic left ectopic kidney resection was subsequently performed. Histopathology revealed endometriosis of the ectopic left kidney. CONCLUSIONS: In female patients with clinical manifestations of abdominal pain and gross hematuria, the possibility of renal endometriosis should be considered.

CTA analysis of 482 cases of coronary artery fistula: A large-scale imaging study.

OBJECTIVE: The prevalence of coronary artery fistula (CAF) based on coronary angiography has been reported. However, with the popularity of coronary computerized tomography angiography (CTA), CAFs have been found more and more by chance. The purpose of this study was to determine the prevalence and types of CAFs detected by coronary CTA, and to explore the differences in the size of fistulas, the number of complicated aneurysms, and fistulas among different types. MATERIALS AND METHODS: From January 2016 to December 2020, 96,037 patients underwent coronary CTA in our hospital. The prevalence of CAF was retrospectively evaluated, The origin, course, and drainage site of CAF and coexisting abnormalities were analysed. The conventional treatments and follow-up DSCT images were also evaluated. Analyze the difference between the coronary-pulmonary artery fistula (CPAFs) group (380) and the coronary-cameral fistula (CCF) group (99). RESULTS: Among 96,037 patients, 482 (0.5%) patients (male 232 and 250 female) had CAF. The types of CAF detected. The pulmonary artery was the most common site of drainage (380/482, 78.8%). Of the 99 CCFs, coronary to the left ventricle is the most common pattern in CCF (34/482, 7.0%). Single origins are more common in CAF (n = 361, 74.9%), multiple origins are more common in CPAFs than in CCF. There were statistically significant differences in the stoma diameter (2.4 ± 1.1 mm vs. 5.4 ± 4.3 mm p < .05), aneurysm complicated (85 cases [85/380] vs. 50 cases [50/99]), the size of aneurysm (8.8 ± 5.7 mm vs. 19.1 ± 11.6 mm, p < .05), and single fistula (261 [261/380] vs. 96 [96/99], p < .05). Most of the 380 CPAFs patients received conservative treatment (350/380, 92.1%), While the 59 CCF patients (59/93, 63.4%) were treated. CONCLUSIONS: Different from previous reports, the prevalence of CAF in coronary CTA is 0.5%, the incidence of CPAFs is the highest, and the incidence of the left ventricular fistula is higher in CCF. Compared with CPAFs, CCF fistulas were more likely to be associated with a larger diameter of draining, larger aneurysms, single fistula pattern. Coronary artery CTA is a useful and noninvasive imaging method to detect CAF, which is of great significance for the detection of small fistulas and the surgical guidance of complex CAF.

Diagnostic value of miR-637 in patients with atherosclerosis and its predictive significance for the future cardiovascular events.

OBJECTIVES: Atherosclerosis is a common vascular disease. MiR-637 has been demonstrated to be low-expressed in hypertensive patients, and atherosclerosis is closely related to hypertension. Therefore, this study speculated that miR-637 may play an important role in the development of atherosclerosis. In brief, this study examined the expression level of miR-637 in patients with atherosclerosis and further analyzed its clinical value in patients with atherosclerosis. METHODS: The expression level of miR-637 was detected in serum from 86 patients with atherosclerosis and 75 healthy controls by using quantitative reverse transcription-polymerase chain reaction. The receiver operating characteristic curve was used to assess the diagnostic value of miR-637 in atherosclerosis. Pearson's correlation analysis was performed to evaluate the relationship between serum miR-637 and different clinical parameters. The prognostic value of miR-637 in atherosclerosis was analyzed by the Kaplan-Meier survival curve and multivariate cox regression analysis. RESULTS: Compared with healthy individuals, miR-637 was downregulated in the serum of atherosclerosis patients. The receiver operating characteristic curve suggested the high diagnostic value of miR-637 for atherosclerosis, with the AUC of 0.853, specificity of 77.9%, and sensitivity of 80.0%. The expression level of miR-637 was negatively correlated with CIMT (r = -0.8101, P < 0.0001) and CRP (r = -0.6154, P < 0.0001), respectively. Survival analysis indicated that miR-637 was also found to be an independent prognostic factor for atherosclerosis. CONCLUSIONS: MiR-637 is a potential noninvasive diagnostic marker of atherosclerosis and has important predictive value for the occurrence of future cardiovascular events.

Comparison of Multiple Quantitative Evaluation Indices of Theoretical Knowledge and Clinical Practice Skills and Training of Medical Interns in Cardiovascular Imaging Using Blended Teaching and the Case Resource Network Platform (CRNP).

BACKGROUND This study aimed to compare multiple quantitative evaluation indices of levels of theoretical knowledge and clinical practice skills in training medical interns in cardiovascular imaging based on the use of the blended teaching (BT) online artificial intelligence (AI) case resource network platform (CRNP), including time and frequency indices and effectiveness of the CRNP. MATERIAL AND METHODS The study included 110 medical interns who were divided into the routine teaching (RT) group (n=55) and the blended teaching (BT) group (n=55). The two were assessed using the mini-clinical evaluation exercise (mini-CEX) that assessed clinical skills, attitudes, and behaviors and using an objective written questionnaire. The following four indices were compared between the RT and BT groups: the X-ray score (XS), the computed tomography angiography (CTA) score (CS), the cardiac magnetic resonance imaging (CMRI) score (MS), and the average score (AS). Seven assessment indicators included: the imaging description (ID), the qualitative diagnosis (QD), the differential diagnosis (DD), examination preparation (EP), interview skill (IS), position display (PD), and human care (HC). Indicators of CRNP use included: number of times (TN), average duration (AD), single maximum duration (SMD), and total duration (TD). RESULTS AS significantly correlated with AD (rAD=0.761) and TD (rTD=0.754), and showed moderate correlation with TN (rTN=0.595), but weak correlation with SMD (rSMD=0.404). CONCLUSIONS Levels of theoretical knowledge and clinical practice skills during medical intern training in cardiovascular imaging based on BT using the CRNP teaching technology improved theoretical knowledge and practical skills.

Artificial Intelligence and Myocardial Contrast Enhancement Pattern.

PURPOSE OF REVIEW: Machine learning (ML) and deep learning (DL) are two important categories of AI algorithms. Nowadays, AI technology has been gradually applied to cardiac magnetic resonance imaging (CMRI), covering the fields of myocardial contrast enhancement (MCE) pattern and automatic ventricular segmentation. This paper mainly discusses the relationship between machine learning and deep learning based on AI and pattern of MCE in CMRI. RECENT FINDINGS: It found that some histogram and GLCM parameters in ML algorithm had significant statistical differences in diagnosis of cardiomyopathy and differentiation of fibrosis and normal myocardial tissue. In the DL algorithm, there was no significant difference between CNN and observers in measuring myocardial fibrosis. The rapid development of texture parameter analysis methods would promote the medical imaging based on AI into a new era. Histogram and GLCM parameters are the research hotspot of unsupervised learning of MCE images. CNN has a great advantage in automatically identifying and quantifying myocardial fibrosis reflected by LGE images.

Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics.

Microvascular invasion (mVI) is the most significant independent predictor of recurrence for hepatocellular carcinoma (HCC), but its pre-operative assessment is challenging. In this study, we investigate the use of multi-parametric MRI radiomics to predict mVI status before surgery. We retrospectively collected pre-operative multi-parametric liver MRI scans for 99 patients who were diagnosed with HCC. These patients received surgery and pathology-confirmed diagnosis of mVI. We extracted radiomics features from manually segmented HCC regions and built machine learning classifiers to predict mVI status. We compared the performance of such classifiers when built on five MRI sequences used both individually and combined. We investigated the effects of using features extracted from the tumor region only, the peritumoral marginal region only, and the combination of the two. We used the area under the receiver operating characteristic curve (AUC) and accuracy as performance metrics. By combining features extracted from multiple MRI sequences, AUCs are 86.69%, 84.62%, and 84.19% when features are extracted from the tumor only, the peritumoral region only, and the combination of the two, respectively. For tumor-extracted features, the T2 sequence (AUC = 80.84%) and portal venous sequence (AUC = 79.22%) outperform other MRI sequences in single-sequence-based models and their combination yields the highest AUC of 86.69% for mVI status prediction. Our results show promise in predicting mVI from pre-operative liver MRI scans and indicate that information from multi-parametric MRI sequences is complementary in identifying mVI.

Association between magnetic resonance imaging of carotid artery and coronary stenosis detected by computed tomography angiography.

OBJECTIVE: To investigate the correlation between carotid artery stenosis (CAS) measured by magnetic resonance imaging (MRI) and the coronary stenosis (CS) determined by computed tomography angiography (CTA). METHODS: In this prospective study, 42 subjects diagnosed with coronary artery disease (CAD) underwent MRI and CTA examinations. The severity degree and number of CAS, the score, detection rate and type of carotid plaque, and also the severity degree and number of CS were assessed. Spearman's rank correlation test was used to evaluate the correlation between CAS and CS. RESULTS: CS was detected in 42 (100%) subjects, while CAS was detected in 36 (85.7%) subjects. Distribution of CAS severity grades in multiple-vessel group was significantly different from other groups, which with more moderate and severe stenosis (p < 0.05). A positive and significant correlation between the CAS severity and CS severity (r = 0.612, p < 0.05), and the number of involved coronary vessels (r = 0.572, p < 0.05) were observed, respectively. Both detection rate (r = 0.587, p < 0.05) and score (r = 0.735, p < 0.05) of carotid plaque showed a good correlation with the number of involved coronary vessels. After carotid MRI, 71 carotid plaques were detected in 42 subjects, with an incidence rate of 9.9% in subjects with mild CS, 18.3% in moderate CS and 71.8% in severe CS. CONCLUSION: Correlation between CAS measured by MRI and CS determined by CTA was identified in present study. These results indicated that the non-invasive CAS evaluation employing the MRI may be clinically useful for the assessment of CS.

Evaluation of Early Gadolinium Enhancement (EGE) and Cardiac Functional Parameters in Cine-Magnetic Resonance Imaging (MRI) on Artificial Intelligence in Patients with Acute Myocarditis: A Case-Controlled Observational Study.

BACKGROUND The diagnosis of myocarditis is challenging, and the treatment is generally delayed due to misdiagnosis or missed diagnosis. Endomyocardial biopsy (EMB) is not a specific or sensitive method. A case-controlled observational study was conducted to evaluate early gadolinium enhancement (EGE) and left ventricular functional parameters on Artificial Intelligence in cine-MRI in patients with acute myocarditis. MATERIAL AND METHODS We selected 21 patients with pathologically proven acute myocarditis. We analyzed the EGE findings (total/serial number and location of positive-segments using the 17-segment model according to the American Heart Association) and clinical characteristics (symptoms, arrhythmias in ECG, coronary angiography, and EMB). All patients were divided into positive EGE and negative EGE groups to analyze left ventricular functional parameters (LVEF, FS, LVEDD, LVEDV, LVESV, LVMM, LVSV, CO, and CI) on Artificial Intelligence. RESULTS We enrolled 21 patients (11 males) with a mean age of 32.6±9.8 years (range, 16 to 51 years). Abnormalities on EGE were found in 2/3 of patients, involving 41 segments among multiple locations on the myocardium. The differences in LVEF (40.2±10.2% vs. 51.3±3.6%), LVESV (69.0±16.1ml vs. 52.5±10.6ml) and LVSV (42.6±11.4 vs. 52.8±2.8 ml) on Artificial Intelligence was statistically significant between the positive EGE and negative EGE groups (p<0.05). CONCLUSIONS Our results suggest a significant role of EGE on the basis of Lake Louise criteria in evaluating patients with clinical suspicion of acute myocarditis. Parameters, including LVEF, LVESV, and LVSV, on Artificial Intelligence, may be useful independent predictors for capillary leakage and microcirculatory disturbance in myocarditis.

Effects of continuous care for patients with type 2 diabetes using mobile health application: A randomised controlled trial.

BACKGROUND: Type 2 diabetes is a worldwide disorder that affects millions of people and can exert negative clinical and social effects on the patients. In some previous studies, mobile health applications have been used as a means of clinical intervention. However, the therapeutic effect of continuous care through mobile phone applications for patients with type 2 diabetes remains unclear. OBJECTIVE: This study aimed to explore the clinical effect of continuous care for patients with type 2 diabetes using mobile health application by comparing traditional discharge nursing. METHODS: In total, 120 patients with type 2 diabetes were randomly divided into two groups: The test group received continuous care based on the mobile phone application (n = 60), and the control group received conventional care (n = 60). Primary clinical outcomes, such as Glycaemic Haemoglobin (GH) levels, blood glucose levels, self-care abilities, disease cognition abilities, and the number of readmissions, were examined in both groups. RESULTS: The results showed significant improvements pertaining to disease awareness levels (81.28 vs 71.34, P < .05), self-management abilities (9.14 vs 7.81, P < .05), GH (-1.50% vs -0.76%, P < .05), fast blood glucose (-3.23 vs -1.25 mmol/L, P < .05), postprandial blood glucose levels (-4.34 vs -2.34 mmol, P < .05), and control levels in the test group. Moreover, in the test group, the frequency of rehospitalisation was reduced during the intervention period, as was the average number of rehospitalisation within 6 months after discharge (-1.19 vs P < .05). CONCLUSIONS: Continuous care based on a mobile health application has potential as a management strategy for patients with type 2 diabetes.

A correlative study of myocardial infarction scar characteristics by DE-MR and the Lown's classification of ventricular premature beats.

OBJECTIVE: Correlation between myocardial infarction (MI) scar by cardiac magnetic resonance and the Lown's classification of ventricular premature beats (VPBs) is poorly understood. This study aims to investigate the correlation between the MI scar characteristics by delayed-enhancement magnetic resonance imaging (DE-MRI) and the Lown's classification of VPBs. METHODS: Sixty-five patients, in the convalescence stage and consolidation phase of MI, were included in this retrospective study. All patient were divided into VPBs group (n = 39) and non-VPBs group (n = 26 patients) according to the clinical diagnostic criteria of Universal Definition of MI scar. VPBs patients were assigned to Lown's I-II group and Lown's III-IV subgroup in accordance with the Lown classification criteria. Cardiac function parameters and MI scar characteristics were detected by cardiac magnetic resonance (CMR) and DE-MRI, respectively. RESULTS: Lown's classification was negatively correlated with left ventricular ejection fraction (LVEF), peak ejection rate (PER) and peak filling rate (PFR) (-0.724, -0.628, -0.559), and positively correlated with MI area, MI integral, MI segments number and left ventricular end systolic volume (LVESV) (0.673, 0.655, 0.586, and 0.514), respectively.CONCLUSIONSThe study indicated that MI area and MI integral were strongly associated with Lown's classification.

[Treatment of senile diseases should prescribe Chinese patent medicine scientifically].

Treatment of senile diseases by Chinese patent medicine should prescribe according to physiological and pathological specialty of the aged. It's necessary for treatment according to syndrome differentiation associating with the disease,reasonable combination of drugs avoiding adverse reactions,gentle medicine character but not fierce,small medicine quantity but not great, the use of Chinese patent medicine mild and tonic used properly but not excessively.

Cardiac magnetic resonance-derived mitral annular plane systolic excursion: a robust indicator for risk stratification after myocardial infarction.

To explore the predictive value of mitral annular plane systolic excursion (MAPSE) derived by cardiac magnetic resonance (CMR) for major adverse cardiovascular events (MACE) in postmyocardial infarction (MI) patients. Patients with MI who underwent 3.0 T CMR (Chinese Clinical Trial Registry, ChiCTR2200055158) were recruited retrospectively. CMR parameters included MAPSE and LVEF. Patients were followed up for MACE for more than 6 months and were separated into a No-MACE group and a MACE group. A total of 165 post-MI patients were included, and 103 patients were finally analyzed (61 patients belonged to the No-MACE group, and 42 patients belonged to the MACE group). The LVEF and MAPSE of the patients belonging to the No-MACE group were considerably higher than those of the patients belonging to the MACE group. Both LVEF and MAPSE were effective indicators of the occurrence of MACE after MI. The risk of MACE decreased as LVEF and MAPSE increased. For the risk prediction of MACE after MI, compared with model I (chi-square value 4.0 vs. 31.4, P < 0.001) and model II (chi-square value 22.7 vs. 31.4, P = 0.003), model III had a significant incremental predictive value. Moreover, the cutoff value of MAPSE was 9.70 mm. CMR-derived MAPSE is an effective predictor of MACE occurrence in patients with MI, and MAPSE provided a significant incremental predictive value. Moreover, MAPSE could complement LVEF for superior risk stratification of MI patients.

Imaging characteristics and ECG distribution of coronary fistulas: The first large-scale study.

BACKGROUND: The proportion of abnormal electrocardiogra (ECG) in patients with coronary artery fistula (CAF) is relatively high, but the correlation between CAF and arrhythmia is mostly reported in individual case studies. This paper analyzes the correlation between imaging features and ECG features. OBJECTIVE: This paper aims to analyze the incidence and distribution characteristics of abnormal ECG in patients with CAF and further explore the difference in ECG characteristics between coronary-cameral fistula (CCF) and coronary-pulmonary artery fistula (CPAF). METHOD: A total of 144,448 patients who underwent coronary computerized tomography angiography (CTA) examination from January 2016 to December 2022 were included in this study, and 284 patients with CAF (excluding coronary atherosclerosis) were selected for analysis of their ECG and image characteristics. And divided them into the CPAF (221 cases) and CCF (63 cases) groups, the differences in ECG between the two groups was compared. The changes in the ECG after the operation were analyzed. RESULTS: The incidence of abnormal ECG in patients with CAF was approximately 72.9%. There were significant differences in the proportion of ECG block, myocardial ischemia and structural ECG changes between the CPAF group and CCF group (P < 0.05). CCF was more likely to cause conduction block and ischemic and structural ECG changes. A total of 53 patients with CAF underwent surgical treatment, 28 patients with improved ECG (52%). CONCLUSION: CCF especially CCF patients often have abnormal ECG findings such as conduction block, myocardial ischemia, and structural changes, which can often be restored to normal through surgery.

Prognostic Value of Entropy Derived from Late Gadolinium Enhancement Images to Adverse Cardiac Events in Post-Myocardial Infarction Patients.

RATIONALE AND OBJECTIVES: To explore the prognostic value of entropy derived from late gadolinium enhancement images on cardiac magnetic resonance (CMR) for major adverse cardiac events (MACE) in post-myocardial infarction (MI) patients. MATERIALS AND METHODS: Participants with MI underwent 3.0T CMR were retrospectively enrolled. CMR parameters, including the entropy of infarct core (IC), peri-infarct border zone (BZ), and infarct core and peri-infarct border zone (IBZ) were analyzed. Patients were divided into the No-MACE group and the MACE group according to the absence or presence of MACE during the follow-up period. RESULTS: Eighty-four patients were included, among whom 51 patients without MACE and 33 patients with MACE. The MACE group showed higher IC mass, IBZ mass, IC entropy, BZ entropy, IBZ entropy, and LV entropy and lower LVEF than those of the NO-MACE group. LVEF, BZ entropy, and IBZ entropy were independent predictors of MACE (p < 0.05). Receiver operating characteristic curve revealed that the predictive values of BZ entropy with AUC of 0.860, IBZ entropy with AUC of 0.930, the combined model of LVEF and BZ entropy with AUC of 0.923, and the combined model of LVEF and IBZ entropy with AUC of 0.954 were higher than that of LVEF with AUC of 0.797. Delong test illustrated there was no significant difference in AUC among the three models with AUC > 0.900 (p > 0.05). CONCLUSION: BZ entropy and IBZ entropy were noninvasive parameters for better risk stratification of post-MI patients. MI Patients with MACE showed higher BZ entropy and IBZ entropy than patients without MACE.

Entropy of left ventricular late gadolinium enhancement and its prognostic value in hypertrophic cardiomyopathy a new CMR assessment method.

PURPOSE: As a novel metric, entropy generated from late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) can be utilized to assess tissue heterogeneity. However, it is unknown if it can be utilized for risk stratification in hypertrophic cardiomyopathy (HCM). In addition, it is unknown if LGE entropy correlates with LGE mass%, which is commonly utilized for fibrosis assessment. This research was done to investigate these issues. MATERIALS AND METHODS: Patients with HCM who underwent 3.0-T CMR between January 2015 and January 2020 were prospectively enrolled and classified into low- and high-risk groups according to the AHA/ACC risk stratification guideline for 2020. The LGE entropy was automatically estimated using a generic Python package algorithm. On CMR imaging, the LGE mass% was determined using the CVI 42 software. Endpoint events included sudden cardiac death (SCD), hospital readmission owing to heart failure, and implantable cardioverter defibrillator (ICD) treatment for ventricular arrhythmias. RESULTS: A total of 109 HCM participants (70 males) were included. During the follow-up (23 ± 7 months), the patients in the high-risk group had higher LGE entropy (p < 0.001) and LGE mass% (p < 0.001) than those in the low-risk group, and patients with endpoint events had higher LGE entropy (p < 0.001) and LGE mass% (p < 0.001) than those without endpoint events. In all participants, there was a link between LGE entropy and LGE mass%, according to the Spearman rank correlation analysis (p < 0.001; r = 0.667). In ROC analysis, the area under the curve (AUC) of LGE entropy was 0.893 (95% CI, 0.794-0.993; P<0.001), AUC of LGE mass% was 0.826 (95% CI, 0.737-0.914; P<0.001), AUC of LVEF was 0.610 (95% CI, 0.473-0.748; P = 0.117) and AUC of 2020 AHA/ACC guideline for risk stratification was 0.716 (95% CI, 0.617-0.815; P = 0.002). According to Kaplan-Meier curves, HCM with a higher LGE entropy (≥cutoff value (<5.873) or ≥ thied tertile (5.540)) were more likely to experience the endpoint events. Following adjustment for the 2020 AHA/ACC guideline for risk categorization, LGE mass%, or decreased LVEF, Cox analysis showed that LGE entropy was independently linked with endpoint events. CONCLUSIONS: The variability and extent of LGE pictures can be reflected by LGE entropy, which is a reliable, usable, and repeatable metric for risk classification in HCM. It is a prognostic indicator of endpoint events that is independent of other risk indicators.

Coronary artery fistula with or without aneurysm: A large comparative study.

Background: The knowledge of coronary artery fistula (CAF) with coronary aneurysm mostly comes from case reports and is very limited. However, the management of CAF with and without aneurysm is different, more understanding of its clinical and imaging features is necessary. This is the first research focus on it through a large comparative study. Purpose: To investigate the differences in imaging and clinical features of CAF with and without aneurysms. Methods: We reviewed 96,037 consecutive patients undergoing coronary computed tomography angiogram (CCTA) between 2016 and 2020 and total of 429 CAF adult patients were enrolled. Those patients were divided into the CAF with aneurysm group (321 cases, 74.83%) and CAF without aneurysm group (108 cases, 25.17%) according to whether complicated with coronary aneurysm. Clinical baseline data, electrocardiographic (ECG) characteristics, the presence or absence of coronary atherosclerosis, complication symptoms and fistulous origin, entry site, number and diameter were analyzed. Chi-square test, T-test, Mann-Whitney U tests, and logistic regression analysis were performed. Results: Most of the clinical baseline data did not differ significantly between the two groups (P > 0.05). However, heart murmur, coronary atherosclerosis, infective endocarditis (IE), fistulous diameter and fistulous entry site were significantly different (P＜0.05). Further multivariate logistic regression analysis showed that large fistulous diameter and coronary-cardiac chamber arterial fistulas was dependent risk factors for CAF complicated with aneurysm. Conclusion: CAF patients with aneurysm were more prone to develop heart murmur than those patients without aneurysm. Different from other sites of aneurysms, coronary atherosclerosis is more common in CAF without aneurysm. Larger fistulous diameter and coronary-cardiac chamber arterial fistula are dependent risk factors for CAF with aneurysms.

Can left ventricular entropy by cardiac magnetic resonance late gadolinium enhancement be a prognostic predictor in patients with left ventricular non-compaction?

PURPOSE: Left ventricular non-compaction (LVNC) is considered rare; however, the use of cardiac magnetic resonance (CMR) has shown that its incidence is not uncommon, and its clinical presentation remains variable, with an uncertain prognosis. Risk stratification of major adverse cardiac events (MACE) in patients with LVNC remains complex. Therefore, this study aims to determine whether tissue heterogeneity from late gadolinium enhancement-derived entropy is associated with MACE in patients with LVNC. METHODS: This study was registered in the Clinical Trial Registry (CTR2200062045). Consecutive patients who underwent CMR imaging and were diagnosed with LVNC were followed up for MACE, which was defined by heart failure, arrhythmias, systemic embolism, and cardiac death. The patients were divided into MACE and non-MACE groups. The CMR parameters included left ventricular (LV) entropy, LV ejection fraction (LVEF), LV end-diastolic volume, LV end-systolic volume (LVESV), and LV mass (LVM). RESULTS: Eighty-six patients (age: 45.48 ± 16.64 years; female: 62.7%; LVEF: 42.58 ± 17.20%) were followed up for a median of 18 months and experienced 30 MACE events (34.9%). The MACE group showed higher LV entropy, LVESV, and LVM and lower LVEF than the non-MACE group. LV entropy [hazard ratio (HR): 1.710, 95% confidence interval (CI): 1.078-2.714, P = 0.023] and LVEF (HR: 0.961, 95% CI: 0.936-0.988, P = 0.004) were independent predictors of MACE (P <0.050) according to the Cox regression analysis. Receiver operating characteristic curve analysis revealed that the area under the curve of LV entropy was 0.789 (95% CI: 0.687-0.869, P < 0.001), LVEF was 0.804 (95% CI: 0.699-0.878, P < 0.001), and the combined model of LV entropy and LVEF was 0.845 (95% CI: 0.751-0.914, P < 0.050). CONCLUSION: LGE-derived LV entropy and LVEF are independent risk indicators of MACE in patients with LVNC. The combination of the two factors was more conducive to improving the prediction of MACE.

Clinical and imaging characteristics of cardiac magnetic resonance presenting with myocardial infarction with non-obstructive coronary arteries in China.

BACKGROUND: The characteristics are still unclear due to lack of systematic research on patients with myocardial infarction non-obstructive coronary arteries (MINOCA) in China. This study aimed to explore the clinical and imaging features of MINOCA patients. METHODS: The patients who were diagnosed as suspected MI were studied. Cardiac magnetic resonance (CMR) was performed after coronary angiography or coronary computed tomographic angiography examination within one week. Myocardial infarction (MI) was determined by late gadolinium enhancement CMR.The patients with MI were divided into MINOCA and MICAD group according to whether the degree of coronary stenosis was greater than 50%. Cardiac function and imaging characteristics between the two groups were analyzed. RESULTS: 21 patients with MINOCA and 30 patients with myocardial infarction with obstructive coronary artery disease (MICAD) were analyzed. MINOCA patients were younger, and the electrocardiogram was commonly featured by non-ST-elevation. The parameters of left ventricular function were significantly different between the two groups including left ventricular ejection fraction, stroke volume, cardiac output, myocardial mass, and peak ejection rate (P < 0.05). Besides, MINOCA patients had smaller area of MI, less score of transmural extent, fewer involved segments. Furthermore, the transmural extent of MI in MINOCA patients was mainly grade I, that is, most of them were subendocardial MI, which was significantly negatively correlated with the amount of first-pass perfusion. CONCLUSIONS: The clinical characteristics combined with imaging features of CMR may be effective to evaluate the cardiac function in order to make clinical decision for MINOCA patients in China.

Bioinspired Super-Strong Aqueous Synthetic Tissue Adhesives.

Existing tissue adhesives and sealants are far from satisfactory when applied on wet and dynamic tissues. Herein, we report a strategy for designing biodegradable super-strong aqueous glue (B-Seal) for surgical uses inspired by an English ivy adhesion strategy and a cement particle packing theory. B-Seal is a fast-gelling, super-strong, and elastic adhesive sealant composed of injectable water-borne biodegradable polyurethane (WPU) nanodispersions with mismatched particle sizes and counterions in its A-B formulation. B-Seal showed 24-fold greater burst pressure than DuraSeal®, 138-fold greater T-pull adhesive strength than fibrin glue, and 16-fold greater lap shear strength than fibrin glue. In vivo evaluation on a rat cerebrospinal fluid (CSF) rhinorrhea model and a porcine craniotomy model validated the safety and efficacy of B-Seal for effective CSF leak prevention and dura repair. The plant-inspired adhesion strategy combined with particle packing theory represents a new direction of designing the next-generation wet tissue adhesives for surgeries.