2 resultados para Contour farming.
Resumo:
Overview and Aims: The investigation of recurrent miscarriage includes the study of uterine morphology. 3D ultrasound allows the evaluation of the morphology (cavity and outer contour), reducing the need for invasive tests such as hystero - salpingography (HSG), hysteroscopy and laparoscopy. We evaluated the diagnostic agreement between HSG and 3D ultrasound in the study of the uterine cavity morphology. Study Design: Prospective study. Population: A total of 34 women referred to our institution with a history of recurrent miscarriage. Methods: To compare the results of 3D ultrasound and HSG, all women underwent both exams. 3D scans were performed by the same operator and HSG were evaluated by the same clinician. The concordance study was performed using the Kappa coefficient. Results: With 3D ultrasound and HSG, uterine anomalies were diagnosed in 52.9% (18/34) and 47% (16/34) of the cases and congenital malformations were the most frequent findings. The agreement between the two techniques was excellent(K = 0.825). The three cases of diagnostic disagreement were analyzed. Conclusion: A high level of diagnostic agreement was observed between HSG and 3D ultrasound. The 3D ultrasound, a low cost and well tolerated technique, when performed by an experienced operator, is the first line exam to study the uterine morphology in women with recurrent miscarriage.
Resumo:
PURPOSE: To determine the correlation between ocular blood flow velocities and ocular pulse amplitude (OPA) in glaucoma patients using colour Doppler imaging (CDI) waveform analysis. METHOD: A prospective, observer-masked, case-control study was performed. OPA and blood flow variables from central retinal artery and vein (CRA, CRV), nasal and temporal short posterior ciliary arteries (NPCA, TPCA) and ophthalmic artery (OA) were obtained through dynamic contour tonometry and CDI, respectively. Univariate and multiple regression analyses were performed to explore the correlations between OPA and retrobulbar CDI waveform and systemic cardiovascular parameters (blood pressure, blood pressure amplitude, mean ocular perfusion pressure and peripheral pulse). RESULTS: One hundred and ninety-two patients were included [healthy controls: 55; primary open-angle glaucoma (POAG): 74; normal-tension glaucoma (NTG): 63]. OPA was statistically different between groups (Healthy: 3.17 ± 1.2 mmHg; NTG: 2.58 ± 1.2 mmHg; POAG: 2.60 ± 1.1 mmHg; p < 0.01), but not between the glaucoma groups (p = 0.60). Multiple regression models to explain OPA variance were made for each cohort (healthy: p < 0.001, r = 0.605; NTG: p = 0.003, r = 0.372; POAG: p < 0.001, r = 0.412). OPA was independently associated with retrobulbar CDI parameters in the healthy subjects and POAG patients (healthy CRV resistance index: β = 3.37, CI: 0.16-6.59; healthy NPCA mean systolic/diastolic velocity ratio: β = 1.34, CI: 0.52-2.15; POAG TPCA mean systolic velocity: β = 0.14, CI 0.05-0.23). OPA in the NTG group was associated with diastolic blood pressure and pulse rate (β = -0.04, CI: -0.06 to -0.01; β = -0.04, CI: -0.06 to -0.001, respectively). CONCLUSIONS: Vascular-related models provide a better explanation to OPA variance in healthy individuals than in glaucoma patients. The variables that influence OPA seem to be different in healthy, POAG and NTG patients.