Shear-wave sonoelastographic assessment of cervix in pregnancy.

INTRODUCTION: The aim of this study was to investigate the differences in shear-wave sonoelastography (SWS) scores between the different parts of cervix, explore the association between the cervical SWS scores with cervical length and evaluate repeatability of the measurement of cervical SWS scores. MATERIAL AND METHODS: This was a prospective study performed in women with singleton pregnancy at 11-13+6 (n = 676), 16-20+6 (n = 364), 21-24+6 (n = 338) and 28-32+6 weeks (n = 304). The SWS scores were obtained at the inner, middle and external parts of the cervix, using a transvaginal ultrasound approach. RESULTS: The SWS scores of the inner cervix were significantly higher than the measurements acquired at the middle and external parts (all P < .001). At 21-24+6 and 28-32+6 weeks, most regions of interest demonstrated a very weak positive correlation with cervical length (r = .125 to r = .299). In comparison with nulliparous women, parous women without prior preterm birth had higher SWS scores of the inner and middle parts of the cervix at 16-20+6 and 21-24+6 weeks. All regions of interest showed good intra- and inter-observer agreement. CONCLUSIONS: The assessment of the cervical SWS scores is highly reproducible. The stiffness of the cervix demonstrates a gradient that decreases from the inner part to the external part and a very weak positive correlation with cervical length.

The predictive value of cervical shear wave elastography in the outcome of labor induction.

INTRODUCTION: Bishop score, the traditional method to assess cervical condition, is not a promising predictive tool of the outcome of labor induction. As an objective assessment tool, many cervical ultrasound measurements have been proposed to represent the individual components of the Bishop score, but none of them can measure the cervical stiffness. Cervical shear wave elastography is a novel tool to assess the cervical stiffness quantitatively. MATERIAL AND METHODS: A total of 475 women who required labor induction were studied prospectively. Prior to routine digital assessment of the Bishop score, transvaginal sonographic measurement of cervical length, posterior cervical angle, angle of progression and shear wave elastography was performed. Shear wave elastography measurement was made at the inner, middle and outer regions of the cervix to assess homogeneity. Association of labor induction outcomes including the overall cesarean section and subgroups of cesarean section for failure to enter active phase, with cervical sonographic parameters and the Bishop score, were assessed using multivariate regression analyses. The predictive accuracy of the outcomes using models based on ultrasound measurement and the Bishop score was compared using the area under the receiver-operating characteristics curves. RESULTS: Among 475 women, 82 (17.3%) required cesarean section. Shear wave elasticity was significantly higher in the inner cervical region than in other regions, indicating a greater stiffness (P < 0.001). Both inner cervical shear wave elasticity and cervical length were independent predictors of overall cesarean section (respective adjusted odds ratio [95% CI] 1.338 [1.001-1.598] and 1.717 [1.077-1.663]) and cesarean section for failure to enter active phase (respective adjusted odds ratio [95% CI] 1.689 [1.234-2.311] and 2.556 [1.462-4.467]), after adjusting for other covariates. Outcome prediction models using inner cervical shear wave elasticity and cervical length, had increased area under curve compared with models using the Bishop score (0.888 vs 0.819, P = 0.009). CONCLUSIONS: The cervix is not a homogenous structure, with the inner cervix having the highest stiffness, which is an independent predictor of overall cesarean section, and specifically for those indicated because of failure to enter active phase. Models based on shear wave elastography and cervical length had higher predictive accuracy than models based on the Bishop score.

Fulfilling the psychological and information need of the family members of critically ill patients using interactive mobile technology: A randomised controlled trial.

BACKGROUND: Intensive care nurses may have an important role in empowering families by providing psychological support and fulfilling the family's pivotal need for information. AIM: To determine whether 'education of families by tab' about the patient's condition was more associated with improved anxiety, stress, and depression levels than the 'education of families by routine'. RESEARCH DESIGN: A randomized control trial of 74 main family caregivers (intervention: 39; control: 35). SETTING: An adult intensive care unit. MAIN OUTCOME MEASURES: Depression Anxiety Stress Scale, and Communication and Physical Comfort Scale. RESULTS: Although information need satisfaction was not significantly different between intervention and control groups, the former reported significantly better depression score on Depression Anxiety Stress Scale comparing to the control group (p<0.01; η2=0.09) with a medium effect size. Reduction of anxiety in the intervention group were clinically significant. CONCLUSION: The results suggest that use of 'education of family by tab' is promising for intensive care nurses to provide psychological support for family members. More studies are needed to investigate this aspect of family care for better psychological support and information need satisfaction that contributes to the evidence-based practice of intensive care nursing.

Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: our review and experience using four fully automated and one semi-automated methods.

Automated and high performance carotid intima-media thickness (IMT) measurement is gaining increasing importance in clinical practice to assess the cardiovascular risk of patients. In this paper, we compare four fully automated IMT measurement techniques (CALEX, CAMES, CARES and CAUDLES) and one semi-automated technique (FOAM). We present our experience using these algorithms, whose lumen-intima and media-adventitia border estimation use different methods that can be: (a) edge-based; (b) training-based; (c) feature-based; or (d) directional Edge-Flow based. Our database (DB) consisted of 665 images that represented a multi-ethnic group and was acquired using four OEM scanners. The performance evaluation protocol adopted error measures, reproducibility measures, and Figure of Merit (FoM). FOAM showed the best performance, with an IMT bias equal to 0.025±0.225mm, and a FoM equal to 96.6%. Among the four automated methods, CARES showed the best results with a bias of 0.032±0.279mm, and a FoM to 95.6%, which was statistically comparable to that of FOAM performance in terms of accuracy and reproducibility. This is the first time that completely automated and user-driven techniques have been compared on a multi-ethnic dataset, acquired using multiple original equipment manufacturer (OEM) machines with different gain settings, representing normal and pathologic cases.

Atherosclerotic risk stratification strategy for carotid arteries using texture-based features.

Plaques in the carotid artery result in stenosis, which is one of the main causes for stroke. Patients have to be carefully selected for stenosis treatments as they carry some risk. Since patients with symptomatic plaques have greater risk for strokes, an objective classification technique that classifies the plaques into symptomatic and asymptomatic classes is needed. We present a computer aided diagnostic (CAD) based ultrasound characterization methodology (a class of Atheromatic systems) that classifies the patient into symptomatic and asymptomatic classes using two kinds of datasets: (1) plaque regions in ultrasound carotids segmented semi-automatically and (2) far wall gray-scale intima-media thickness (IMT) regions along the common carotid artery segmented automatically. For both kinds of datasets, the protocol consists of estimating texture-based features in frameworks of local binary patterns (LBP) and Law's texture energy (LTE) and applying these features for obtaining the training parameters, which are then used for classification. Our database consists of 150 asymptomatic and 196 symptomatic plaque regions and 342 IMT wall regions. When using the Atheromatic-based system on semiautomatically determined plaque regions, support vector machine (SVM) classifier was adapted with highest accuracy of 83%. The accuracy registered was 89.5% on the far wall gray-scale IMT regions when using SVM, K-nearest neighbor (KNN) or radial basis probabilistic neural network (RBPNN) classifiers. LBP/LTE-based techniques on both kinds of carotid datasets are noninvasive, fast, objective and cost-effective for plaque characterization and, hence, will add more value to the existing carotid plaque diagnostics protocol. We have also proposed an index for each type of datasets: AtheromaticPi, for carotid plaque region, and AtheromaticWi, for IMT carotid wall region, based on the combination of the respective significant features. These indices show a separation between symptomatic and asymptomatic by 4.53 units and 4.42 units, respectively, thereby supporting the texture hypothesis classification.

Minimizing fire risk during eye surgery.

Supplemental oxygen under the drapes in high concentrations can lead to fires in ophthalmic theaters. This study attempted to eliminate the fire risk while maintaining the required therapeutic effect. The sample consisted of 201 patients undergoing ophthalmic surgery, with 104 subjects in the control group and 97 in the experimental group. A quasi-experimental design compared the existing method of oxygen administration (100% supply) with a new method (experimental) providing 24% oxygen supply. Measurements of the oxygen concentration were taken along with the fractional inspiratory carbon dioxide (FiCO2), the peripheral oxygen saturation (SpO2), the end tidal carbon dioxide (ETCO2), and the respiratory rate (RR). There was a significant difference in oxygen and carbon dioxide concentrations under the drapes (p <.05). The fractional inspiratory carbon dioxide was reduced in the experimental group. The new method was adopted to reduce the risk of fire in ophthalmic operating theaters.