The Role of Lung Ultrasound in Diagnosis of Respiratory Distress Syndrome in Newborn Infants

Background: Respiratory distress syndrome (RDS) is one of the most common causes of neonatal respiratory failure and mortality. The risk of developing RDS decreases with both increasing gestational age and birth weight. Objectives: The aim of this study was to evaluate the value of lung ultrasound in the diagnosis of respiratory distress syndrome (RDS) in newborn infants. Materials and Methods: From March 2012 to May 2013, 100 newborn infants were divided into two groups: RDS group (50 cases) and control group (50 cases). According to the findings of chest x-ray, there were 10 cases of grade II RDS, 15 grade III cases, and 25 grade IV cases in RDS group. Lung ultrasound was performed at bedside by a single expert. The ultrasound indexes observed in this study included pleural line, A-line, B-line, lung consolidation, air bronchograms, bilateral white lung, interstitial syndrome, lung sliding, lung pulse etc. Results: In all of the infants with RDS, lung ultrasound consistently showed generalized consolidation with air bronchograms, bilateral white lung or alveolar-interstitial syndrome, pleural line abnormalities, A-line disappearance, pleural effusion, lung pulse, etc. The simultaneous demonstration of lung consolidation, pleural line abnormalities and bilateral white lung, or lung consolidation, pleural line abnormalities and A-line disappearance co-exists with a sensitivity and specificity of 100%. Besides, the sensitivity was 80% and specificity 100% of lung pulse for the diagnosis of neonatal RDS. Conclusions: This study indicates that using an ultrasound to diagnose neonatal RDS is accurate and reliable too. A lung ultrasound has many advantages over other techniques. Ultrasound is non-ionizing, low-cost, easy to operate, and can be performed at bedside, making this technique ideal for use in NICU.

Microstructure, vibrational and visible emission properties of low frequency ultrasound (42 kHz) assisted ZnO nanostructures

Size and shape tuneable ZnO nanostructures were prepared by a low frequency ultrasound (42 kHz) route using various organic solvents as the reaction media. The crystalline nature, lattice parameters and microstructural parameters such as microstrain, stress and energy density of the prepared ZnO nanostructures were revealed through X-ray diffraction (XRD) analysis. The organic solvents influenced the size and morphology of the ZnO nanostructures, and interesting morphological changes involving a spherical to triangular shaped transition were observed. The visible emission properties and lattice vibrational characteristics of the nanostructures were drastically modified by the changes in size and shape. Raman spectral measurements revealed the presence of multiphonon processes in the ZnO nanostructures. The intensity of the visible emission band was found to vary with the size and morphology of the structures. The strongest visible emission band corresponded to the structure with the largest surface/volume ratio and could be attributed to surface oxygen vacancies. The control over the size and morphology of ZnO nanostructures has been presented as a means of determining the intensity of the visible emission band

Feature-based tracking of urethral motion in low-resolution trans-perineal ultrasound

This paper describes a novel algorithm for tracking the motion of the urethra from trans-perineal ultrasound. Our work is based on the structure-from-motion paradigm and therefore handles well structures with ill-defined and partially missing boundaries. The proposed approach is particularly well-suited for video sequences of low resolution and variable levels of blurriness introduced by anatomical motion of variable speed. Our tracking method identifies feature points on a frame by frame basis using the SURF detector/descriptor. Inter-frame correspondence is achieved using nearest-neighbor matching in the feature space. The motion is estimated using a non-linear bi-quadratic model, which adequately describes the deformable motion of the urethra. Experimental results are promising and show that our algorithm performs well when compared to manual tracking.

Predicting difficult laryngoscopy using ultrasound measurement of distance from skin to epiglottis

Unpredicted difficult intubation can have severe consequences, and it is a significant source of morbidity and mortality. Although recent studies indicate that specific ultrasonography (US) measurements may be predictors of difficult laryngoscopy, their use is still limited, and its quantification is missing. The purpose of this prospective observational study is to evaluate the use of US-measured distance from skin to epiglottis (DSE) for difficult laryngoscopy prediction.

Detection and Grading of Prostate Cancer in Temporal Enhanced Ultrasound using Convolutional Neural Networks

Prostate cancer is the most common non-dermatological cancer amongst men in the developed world. The current definitive diagnosis is core needle biopsy guided by transrectal ultrasound. However, this method suffers from low sensitivity and specificity in detecting cancer. Recently, a new ultrasound based tissue typing approach has been proposed, known as temporal enhanced ultrasound (TeUS). In this approach, a set of temporal ultrasound frames is collected from a stationary tissue location without any intentional mechanical excitation. The main aim of this thesis is to implement a deep learning-based solution for prostate cancer detection and grading using TeUS data. In the proposed solution, convolutional neural networks are trained to extract high-level features from time domain TeUS data in temporally and spatially adjacent frames in nine in vivo prostatectomy cases. This approach avoids information loss due to feature extraction and also improves cancer detection rate. The output likelihoods of two TeUS arrangements are then combined to form our novel decision support system. This deep learning-based approach results in the area under the receiver operating characteristic curve (AUC) of 0.80 and 0.73 for prostate cancer detection and grading, respectively, in leave-one-patient-out cross-validation. Recently, multi-parametric magnetic resonance imaging (mp-MRI) has been utilized to improve detection rate of aggressive prostate cancer. In this thesis, for the first time, we present the fusion of mp-MRI and TeUS for characterization of prostate cancer to compensates the deficiencies of each image modalities and improve cancer detection rate. The results obtained using TeUS are fused with those attained using consolidated mp-MRI maps from multiple MR modalities and cancer delineations on those by multiple clinicians. The proposed fusion approach yields the AUC of 0.86 in prostate cancer detection. The outcomes of this thesis emphasize the viable potential of TeUS as a tissue typing method. Employing this ultrasound-based intervention, which is non-invasive and inexpensive, can be a valuable and practical addition to enhance the current prostate cancer detection.

Assessment of interstitial lung disease in Sjögren’s syndrome by lung ultrasound: a pilot study of correlation with high-resolution chest tomography

The background of this study is to assess the accuracy of lung ultrasound (LUS) to diagnose interstitial lung disease (ILD) in Sjögren’s syndrome (Sjs), in patients who have any alterations in pulmonary function tests (PFT) or respiratory symptoms. LUS was correlated with chest tomography (hrCT), considering it as the imaging gold standard technique to diagnose ILD. This is a pilot, multicenter, cross-sectional, and consecutive-case study. The inclusion criteria are ≥18 years old, Signs and symptoms: according to ACEG 2002 criteria, respiratory symptoms (dyspnea, cough), or any alterations in PFR. LUS was done following the International Consensus Conference on Lung Ultrasound protocol for interstitial syndrome (B pattern). Of the 50 patients in follow-up, 13 (26%) met the inclusion criteria. All were women with age 63.62 years (range 39–88). 78.6% of the cases had primary Sjs (SLE, RA, n = 2). The intra-rater reliability k is 1, according to Gwet’s Ac1 and GI index (probability to concordance—e(K)—, by Cohen, of 0.52). LUS has a sensitivity of 1 (95% CI 0.398–1.0), specificity of 0.89 (95% CI 0.518–0.997), and a positive probability reason of 9.00 (95% CI 7.1–11.3) to detect ILD. The correlation of Pearson is r = 0.84 (p < 0.001). To check the accuracy of LUS to diagnose ILD, a completely bilateral criterion of yes/no for interstitial pattern was chosen, AUC reaches significance, 0.94 (0.07) (95% CI 0.81–1.0, p = 0.014). LUS reaches an excellent correlation to hrCT in Sjs affected with ILD, and might be a useful technique in daily clinical practice for the assessment of pulmonary disease in the sicca syndrome. © 2016 SIMI

Feature-based tracking of urethral motion in low-resolution trans-perineal ultrasound

This paper describes a novel algorithm for tracking the motion of the urethra from trans-perineal ultrasound. Our work is based on the structure-from-motion paradigm and therefore handles well structures with ill-defined and partially missing boundaries. The proposed approach is particularly well-suited for video sequences of low resolution and variable levels of blurriness introduced by anatomical motion of variable speed. Our tracking method identifies feature points on a frame by frame basis using the SURF detector/descriptor. Inter-frame correspondence is achieved using nearest-neighbor matching in the feature space. The motion is estimated using a non-linear bi-quadratic model, which adequately describes the deformable motion of the urethra. Experimental results are promising and show that our algorithm performs well when compared to manual tracking.

Doppler ultrasound in the diagnosis of early pregnancy in sheep.

2016

Color Doppler ultrasound as a substitute to laparoscopy for the CL count in superovulated sheep.

This study aimed to evaluate the Color Doppler ultrasound as a substitute for laparoscopy for couting of corpora lutea (CL) in superovulated sheep. In conclusion, the Color Doppler ultrasonography is highly efficient to estimate the number of CLs in superovulated ewes. This represents an important advance because it replaces invasive laparoscopic procedure, avoids fasting, drugs use and unnecessary handling in animals that did not respond to the treatment. Therefore, the Color Doppler ultrasound can replace the laparoscopy for the assessment of superovulated sheep.