2.Right-to-Left Shunting through a Patent Foramen Ovale as a Cause of Hypoxemia in a Patient with Acute Right Ventricular Infarction Diagnosed by Contrast Echocardiography.
Chi Young SHIM ; Jong Won HA ; Seung Hoon CHOI ; Jin Bae KIM ; Won Ho KIM ; Jong Youn KIM ; Seokmin KANG ; Se Joong RIM ; Namsik CHUNG
Journal of the Korean Society of Echocardiography 2004;12(1):54-57
Right ventricular (RV) infarction is a well-recognized complication of acute inferior myocardial infarction. Rightto-Left shunt through a patent foramen ovale (PFO) is an unusual complication of acute RV myocardial infarction that can result in the development of severe hypoxemia. However, the diagnosis may not be easy without high index of suspicion and echocardiography combined with an echocardiographic contrast (agitated saline) is useful diagnostic imaging modality in this regard. We report a case of acute inferior myocardial infarction and RV infarction associated with unexplained hypoxemia. Contrast echocardiography detected a significant right to left shunt through patent foramen ovale, which considered as a cause of hypoxemia in this patient.
Anoxia*
;
Diagnosis
;
Diagnostic Imaging
;
Echocardiography*
;
Foramen Ovale, Patent*
;
Humans
;
Infarction*
;
Inferior Wall Myocardial Infarction
;
Myocardial Infarction
6.Inferior-septal myocardial infarction misdiagnosed as anterior-septal myocardial infarction: electrocardiographic, scintigraphic, and angiographic correlations.
Ji-lin CHEN ; Zuo-xiang HE ; Zai-jia CHEN ; Jin-qing YUAN ; Yue-qin TIAN ; Shu-bin QIAO ; Rong-fang SHI ; Yi-da TANG ; Zong-lang LU
Chinese Medical Sciences Journal 2007;22(4):228-231
OBJECTIVETo explore the infarct sites in patients with inferior wall acute myocardial infarction (AMI) concomitant with ST segment elevation in leads V1-V3 and leads V3R-V5R.
METHODSFive patients diagnosed as inferior, right ventricular, and anteroseptal walls AMI at admission were enrolled. Electrocardiographic data and results of isotope 99mTc-methoxyisobutylisonitrile (MIBI) myocardial perfusion imaging and coronary angiography (CAG) were analyzed.
RESULTSElectrocardiogram showed that ST segment significantly elevated in standard leads II, III, aVF, and leads V1-V3, V3R-V5R in all five patients. The magnitude of ST segment elevation was maximal in lead V1 and decreased gradually from lead V1 to V3 and from lead V1 to V3R-V5R. There was isotope 99mTc-MIBI myocardial perfusion imaging defect in inferior and basal inferior-septal walls. CAG showed that right coronary artery was infarct-related artery.
CONCLUSIONSThe diagnostic criteria for basal inferior-septal wall AMI can be formulated as follows: (1) ST segment elevates > or = 2 mm in lead V1 in the clinical setting of inferior wall AMI; (2) the magnitude of ST segment elevation is the tallest in lead V1 and decreases gradually from lead V1 to V3 and from lead V1 to V3R-V5R. With two conditions above, the basal inferior-septal wall AMI should be diagnosed.
Aged ; Coronary Angiography ; Diagnostic Errors ; Female ; Humans ; Male ; Middle Aged ; Myocardial Infarction ; diagnosis ; diagnostic imaging ; physiopathology ; Radionuclide Imaging
7.Electrocardiogram classification algorithm based on CvT-13 and multimodal image fusion.
Guoquan LI ; Shuangqing ZHU ; Zitong LIU ; Jinzhao LIN ; Yu PANG
Journal of Biomedical Engineering 2023;40(4):736-742
Electrocardiogram (ECG) signal is an important basis for the diagnosis of arrhythmia and myocardial infarction. In order to further improve the classification effect of arrhythmia and myocardial infarction, an ECG classification algorithm based on Convolutional vision Transformer (CvT) and multimodal image fusion was proposed. Through Gramian summation angular field (GASF), Gramian difference angular field (GADF) and recurrence plot (RP), the one-dimensional ECG signal was converted into three different modes of two-dimensional images, and fused into a multimodal fusion image containing more features. The CvT-13 model could take into account local and global information when processing the fused image, thus effectively improving the classification performance. On the MIT-BIH arrhythmia dataset and the PTB myocardial infarction dataset, the algorithm achieved a combined accuracy of 99.9% for the classification of five arrhythmias and 99.8% for the classification of myocardial infarction. The experiments show that the high-precision computer-assisted intelligent classification method is superior and can effectively improve the diagnostic efficiency of arrhythmia as well as myocardial infarction and other cardiac diseases.
Humans
;
Electrocardiography
;
Heart Diseases
;
Myocardial Infarction/diagnostic imaging*
;
Algorithms
;
Electric Power Supplies
8.The value of myocardial work in detecting the reduction of left ventricular global systolic function in acute myocardial infarction patients with preserved ejection fraction.
Rui XU ; Yu Lin NIU ; Kai Kai SHEN ; Xiao DING ; Yi Sa WANG ; Ji Yun CHEN ; Jian Jun YUAN ; Hao Hui ZHU
Chinese Journal of Cardiology 2022;50(2):160-165
Objective: To investigate the diagnosis value of myocardial work (MW) in evaluating left ventricular global systolic function among acute myocardial infarction (AMI) patients with preserved ejection fraction (LVEF). Methods: This study was a diagnostic trial in a prospective case-control design. AMI patients with preserved LVEF were enrolled as AMI(LVEF>50%) group and age and sex-matched healthy individuals undergoing healthy checkup in our hospital were collected as control group. Two-dimensional dynamic images, including standard apical two-chamber, long-axis and four-chamber views in 3 consecutive cardiac cycles were acquired. General clinical data, routine echocardiography and myocardial work parameters were obtained from all subjects. The indices were compared between the two groups. Intra-observer and inter-observer repeatability of myocardial work parameters were evaluated by intra-group correlation coefficient (ICC). Receiver operator characteristic (ROC) curve was used to determine the diagnostic value of global constructive work (GCW), global wasted work (GWW), global work efficiency (GWE) and global work index (GWI) on the reduction of left ventricular global systolic function in AMI(LVEF>50%) group. Results: There were 30 patients in AMI(LVEF>50%) group, the age was (67.3±9.7)years, and 14 cases were female(46.7%). Thirty participants were included in the control group, the age was (68.1±8.6)years, and 12 cases were female (40.0%). Compared with the control group, left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), interventricular septum thickness (IVSD), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), peak early diastolic velocity of mitral orifice/tissue Doppler velocity of posterior mitral annulus (E/e), left ventricular mass (LVM), left ventricular mass index (LVMI) were significantly higher, while E and e values were significantly lower in AMI (LVEF>50%) group (all P<0.05). Compared with the control group, GCW ((1 145.9±440.1)mmHg% (1 mmHg=0.133 kPa) vs. (1 425.7±355.4)mmHg%), GWE ((80.9±9.5)% vs. (87.3±5.5)%), GWI ((1 001.3±416.2)mmHg% vs. (1 247.6±341.7)mmHg%) and the absolute value of long axis integral strain (GLS) ((8.5±3.4)% vs. (11.4±3.7)%) were significantly lower, while peak strain dispersion(PSD)((101.3±66.4)ms vs. (74.7±31.9)ms) was significantly higher in AMI(LVEF>50%) group (P all<0 05). There was no significant difference in GWW((177.2±71.1)mmHg% vs. (155.7±64.6)mmHg%) between the two groups (P>0.05). The reproducibility of GCW, GWW, GWE and GWI within and between observers were satisfactory (all ICC>0.75). ROC curve analysis showed that all four parameters, GCW, GWW, GWE, and GWI, could be used for the diagnosis of reduced left ventricular systolic function in patients with AMI (LVEF>50%), and their areas under the ROC curve were 0.896,0.929,0.808,0.862. Conclusion: Myocardial work assessment is valuable on diagnosing left ventricular global systolic function reduction in AMI patients with preserved LVEF.
Female
;
Humans
;
Myocardial Infarction/diagnostic imaging*
;
Reproducibility of Results
;
Stroke Volume
;
Systole
;
Ventricular Function, Left
9.Progress in Stress Cardiomyopathy and Its Forensic Application.
Xiao-wei ZHOU ; Yun WANG YUN-YUN ; S ANANDAS ; Ru-xia YUAN ; Hao-ran LI ; Shao-hua ZHU
Journal of Forensic Medicine 2015;31(5):377-380
Stress cardiomyopathy is an atypical myocardial disease induced by emotional or physical stress, with the characteristic of left ventricular systolic dysfunction, transient imaging and electrocardiogram (ECG) changes. Sudden cardiac death can occur in severe cases. Clinical symptoms are likely to appear on acute myocardial infarction, but the exact pathological mechanism is unclear. In the present study, we perform a systematic review of the literature on the clinical manifestations, epidemiological characteristics, ECG, imaging and laboratory tests of stress cardiomyopathy, in order to provide the values for forensic pathology diagnosis.
Death, Sudden, Cardiac
;
Diagnostic Imaging
;
Electrocardiography
;
Humans
;
Myocardial Infarction
;
Stress, Psychological
;
Takotsubo Cardiomyopathy/physiopathology*