PubMed Health⌕ Search

Biomedical subjects

H Hach

Publications and source records attributed to H Hach.

2 recordsLinked to original sources

[Dynamic online quantification of left ventricular function by automated boundary detection: validation of a new echocardiography method].

A recently developed ultrasonic integrated backscatter imaging system allows automated border detection (ABD) of the blood-tissue interface in real time and provides instantaneous measurement of left ventricle cavity area in a beat-to-beat fashion. Three validations of this new system have been performed. 1) In 70 subjects (38 normal volunteers and 32 patients) the on-line ABD-derived areas (end-diastole, -systole = EDA, ESA) and the resulting fractional area change (FAC) of the left ventricle (apical four-chamber view) were compared with the off-line areas and FAC traced manually. All correlations were close (EDA r = 0.97, ESA r = 0.98, FAC r = 0.92; p < 0.0001). 2) In 36 patients with mitral regurgitation (MR), ABD-FAC was compared to the Doppler-derived systolic rate of pressure rise (RPR) which corresponds to systolic dP/dt, as simultaneous studies with high-fidelity pressure measurements have shown. Linear regression analysis yielded a significant correlation with r = 0.91; p < 0.0001. 3) In 26 patients undergoing routine heart catheterization, ABD-echo was performed on the same day. ABD-derived areas (end-diastole, -systole) and FAC (apical two- and four-chamber view) were compared to the corresponding angiographic data derived from biplane projection in 30 degrees RAO and 60 degrees LAO. Linear regression analysis yielded significant values for all correlations (EDA r = 0.88, ESA r = 0.95, FAC 0.90; p < 0.001).(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗

[Echocardiography online quantification of left and right ventricular function by automatic boundary detection: reference values and reproducibility in healthy probands].

UNLABELLED: Automated border detection (ABD) is a new on-line technique that instantaneously calculates cavity areas from automatic tracking of the endocardial-blood interface with a modified ultrasonic integrated backscatter imaging system. After validation of this new method in comparison with off-line echocardiographic, Doppler- and angiographic analyses, we studied dynamic systolic and diastolic function of the left (LV) and right ventricle (RV) in 50 normal volunteers (31 +/- 9 years) in order to establish ranges of normality for the ABD-parameter. The averaged areas of the LV (apical chamber view) were 25.7 +/- 4.9 sq cm in end-diastole and 14.7 +/- 3.3 sq cm in end-systole, resulting in a fractional area change (FAC) of 43.2 +/- 4.8%. The peak filling (PFR) and peak ejection rate (PER) were 69.3 +/- 11.2 and -61.5 +/- 11.1 sq cm/s. Normalization for end-diastolic area (EDA) yielded 2.7 +/- 0.28 and -2.4 +/- 0.42 EDA/s. The areas of the RV (apical chamber view) were 17.1 +/- 3.8 sq cm in end-diastole and 9.0 +/- 2.0 sq cm in end-systole, resulting in a FAC of 47.3 +/- 9.2%. PFR and PER were 58.2 +/- 13.7 and -51.6 +/- 10.1 sq cm/s. Normalization for EDA yielded 3.4 +/- 0.74 and -2.9 +/- 0.62 EDA/s. The interobserver- and day-to-day-variability for all measured values was less than 10%. CONCLUSION: ABD permits reproducible on-line quantification of systolic and diastolic ventricular function and offers a non-invasive approach for longitudinal monitoring of cardiac patients.

Adult↗