scholarly journals Is Lung Ultrasound Helpful in COVID-19 Neonates?—A Systematic Review

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2296
Author(s):  
Emil Robert Stoicescu ◽  
Ioana Mihaiela Ciuca ◽  
Roxana Iacob ◽  
Emil Radu Iacob ◽  
Monica Steluta Marc ◽  
...  
Keyword(s):  
Reliable Method ◽  
Lung Ultrasound ◽  
Lung Lesion ◽  
Lesion Detection ◽  
X Rays ◽  
Non Invasive ◽  
Ultrasound Sonography ◽  
Diagnosis Tool ◽  
New Research ◽  
Key Terms

Background: The SARS-CoV-2 infection has occurred in neonates, but it is a fact that radiation exposure is not recommended given their age. The aim of this review is to assess the evidence on the utility of lung ultrasound (LUS) in neonates diagnosed with COVID-19. Methods: A systematic literature review was performed so as to find a number of published studies assessing the benefits of lung ultrasound for newborns diagnosed with COVID and, in the end, to make a comparison between LUS and the other two more conventional procedures of chest X-rays or CT exam. The key terms used in the search of several databases were: “lung ultrasound”, “sonography”, “newborn”, “neonate”, and “COVID-19′. Results: In total, 447 studies were eligible for this review, and after removing the duplicates, 123 studies referring to LU were further examined, but only 7 included cases of neonates. These studies were considered for the present research paper. Conclusions: As a non-invasive, easy-to-use, and reliable method for lung lesion detection in neonates with COVID-19, lung ultrasound can be used as a useful diagnosis tool for the evaluation of COVID-19-associated lung lesions. The benefits of this method in this pandemic period are likely to arouse interest in opening new research horizons, with immediate practical applicability.

Review of Various Tasks Performed in the Preprocessing Phase of a Diabetic Retinopathy Diagnosis System

2020 ◽  
Vol 16 (4) ◽  
pp. 397-426
Author(s):  
Muhammad Nadeem Ashraf ◽  
Muhammad Hussain ◽  
Zulfiqar Habib
Keyword(s):  
Diabetic Retinopathy ◽  
Blood Vessels ◽  
Early Stage ◽  
Spherical Shape ◽  
Cost Effective ◽  
Lesion Detection ◽  
Diabetic Patients ◽  
Cad System ◽  
Non Invasive ◽  
Optic Discs

Diabetic Retinopathy (DR) is a major cause of blindness in diabetic patients. The increasing population of diabetic patients and difficulty to diagnose it at an early stage are limiting the screening capabilities of manual diagnosis by ophthalmologists. Color fundus images are widely used to detect DR lesions due to their comfortable, cost-effective and non-invasive acquisition procedure. Computer Aided Diagnosis (CAD) of DR based on these images can assist ophthalmologists and help in saving many sight years of diabetic patients. In a CAD system, preprocessing is a crucial phase, which significantly affects its performance. Commonly used preprocessing operations are the enhancement of poor contrast, balancing the illumination imbalance due to the spherical shape of a retina, noise reduction, image resizing to support multi-resolution, color normalization, extraction of a field of view (FOV), etc. Also, the presence of blood vessels and optic discs makes the lesion detection more challenging because these two artifacts exhibit specific attributes, which are similar to those of DR lesions. Preprocessing operations can be broadly divided into three categories: 1) fixing the native defects, 2) segmentation of blood vessels, and 3) localization and segmentation of optic discs. This paper presents a review of the state-of-the-art preprocessing techniques related to three categories of operations, highlighting their significant aspects and limitations. The survey is concluded with the most effective preprocessing methods, which have been shown to improve the accuracy and efficiency of the CAD systems.

scholarly journals AB0945 CONTRIBUTION OF MICROBIOLOGICAL AND ANATOMOPATHOLOGICAL EXAMINATIONS IN THE DIAGNOSIS OF SPONTANEOUS PYOGENIC SPONDYLODISCITIS IN ADULTS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1771.3-1771
Author(s):  
I. Mahmoud ◽  
M. Moalla ◽  
A. Ben Tekaya ◽  
S. Bouden ◽  
R. Tekaya ◽  
...  
Keyword(s):  
Histopathological Examination ◽  
Klebsiella Oxytoca ◽  
Rare Condition ◽  
Blood Cultures ◽  
X Rays ◽  
Skin Sample ◽  
Bacteriological Study ◽  
Non Invasive ◽  
Pyogenic Spondylodiscitis ◽  
Serious Infection

Background:Pyogenic spondylodiscitis (SPD) is a serious infection of an intervertebral disc and/or adjacent vertebrae, that remains a topical problem in rheumatological practice. Early diagnosis and treatment are the only guarantees of a favorable outcome. Clinicians must strive to isolate the responsible bacteria in order to adapt the treatment, and thus reduce the risk of resistance and complications due to SPD itself, but also to the multiplication of probabilistic treatments.Objectives:Our aim was to study the contribution of the different microbiological and anatomopathological examinations in the diagnosis of pyogenic SPD.Methods:It was a descriptive study in a single rheumatology department. Data were collected retrospectively from observations of patients hospitalized in the past 20 years who have been diagnosed with pyogenic SPD. We excluded cases of tuberculous and brucellar SPD from our study because of their completely different histological and microbiological profiles.Results:Twenty-two cases of pyogenic SPD were collected (14M/ 8F). The mean age of the population was 55.9 years [29,80]. A bacteriological survey including at least one cytobacteriological examination of the urine (CBEU), chest X-rays and blood cultures allowed the identification of the bacteria in 16 cases (73%). The most common site were bacteria was identified was blood culture in 7 cases, skin sample and urine collection in 2 cases each. Disco-vertebral puncture and biopsy (DVPB) was performed in 19 patients when there was no bacteria identification and/or when diagnosis of infectious SPD persisted doubtful. On histopathological examination, were described: an infiltrate and/or inflammatory changes without specificity signs in 7 patients and an appearance of chronic pyogenic SPD very likely in 12 patients. Bacteriological study of DVPB fluid or paravertebral abscesses sample helped to isolate bacteria in 4 patients. DVPB or abscesses puncture were contributing by histological and/or bacteriological examination in 12 patients (63%).Infecting bacteria was identified in 14 patients (64%). Gram-negative bacilli (GNB) and staphylococcus aureus were the most frequent germs (7 cases each) including 2 cases of co-infection. GNBs were represented by: Escherichia Coli and Enterobacter Cloacae in 2 cases each, Proteus Mirabilis, Serratia Marcescens and Klebsiella oxytoca in 1 case each. Clostridium clostridioforme and Lactococcus cremoris were isolated in 1 case each. For patients whose etiological investigation remained negative, SPD diagnosis was retained based on imaging (MRI) guided by anamnestic, clinico-biological and histopathological arguments.Conclusion:SPD is a rare condition that needs to be treated rapidly. Once the diagnosis is suspected, bacteria must be isolated before starting any antibiotic therapy. Simple and non-invasive exams as blood cultures, CBUE and chest rays, should be undertaken first. In fact, these simple exams allowed a germ identification in 73% cases in our study. If doubt persist, DVPB could be contributive to the diagnosis.References:NoneDisclosure of Interests:None declared

scholarly journals Detecting the Absence of Lung Sliding in Lung Ultrasounds Using Deep Learning

2021 ◽  
Vol 11 (15) ◽  
pp. 6976
Author(s):  
Miroslav Jaščur ◽  
Marek Bundzel ◽  
Marek Malík ◽  
Anton Dzian ◽  
Norbert Ferenčík ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Lung Ultrasound ◽  
Video Recording ◽  
X Rays ◽  
Surgery Complications ◽  
Temporal Dimension ◽  
Sliding Motion ◽  
Post Surgery ◽  
Lung Sliding

Certain post-thoracic surgery complications are monitored in a standard manner using methods that employ ionising radiation. A need to automatise the diagnostic procedure has now arisen following the clinical trial of a novel lung ultrasound examination procedure that can replace X-rays. Deep learning was used as a powerful tool for lung ultrasound analysis. We present a novel deep-learning method, automated M-mode classification, to detect the absence of lung sliding motion in lung ultrasound. Automated M-mode classification leverages semantic segmentation to select 2D slices across the temporal dimension of the video recording. These 2D slices are the input for a convolutional neural network, and the output of the neural network indicates the presence or absence of lung sliding in the given time slot. We aggregate the partial predictions over the entire video recording to determine whether the subject has developed post-surgery complications. With a 64-frame version of this architecture, we detected lung sliding on average with a balanced accuracy of 89%, sensitivity of 82%, and specificity of 92%. Automated M-mode classification is suitable for lung sliding detection from clinical lung ultrasound videos. Furthermore, in lung ultrasound videos, we recommend using time windows between 0.53 and 2.13 s for the classification of lung sliding motion followed by aggregation.

scholarly journals Plasma ghrelin O-acyltransferase (GOAT) enzyme levels: A novel non-invasive diagnosis tool for patients with significant prostate cancer

2018 ◽  
Vol 22 (11) ◽  
pp. 5688-5697 ◽  
Author(s):  
Enrique Gómez-Gómez ◽  
Juan M. Jiménez-Vacas ◽  
Julia Carrasco-Valiente ◽  
Vicente Herrero-Aguayo ◽  
Ana M. Blanca-Pedregosa ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Non Invasive ◽  
Diagnosis Tool

scholarly journals Do Serial Lung Ultrasound Scores Predict Prolonged Mechanical Ventilation in Patients With Severe COVID-19? A Single-centre Retrospective Cohort Study

2021 ◽  
Author(s):  
Hayato Taniguchi ◽  
Aimi Ohya ◽  
Hidehiro Yamagata ◽  
Masayuki Iwashita ◽  
Takeru Abe ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Lung Ultrasound ◽  
Prolonged Mechanical Ventilation ◽  
X Rays ◽  
C Reactive Protein ◽  
Time Points ◽  
Reactive Protein ◽  
Bedside Test ◽  
Successful Extubation

Abstract Background: Some patients with severe coronavirus disease (COVID-19) who present with fibrosis on computed tomography (CT) require prolonged mechanical ventilation (PMV). Lung ultrasound (LUS), a rapid, bedside test, has been reported to have findings consistent with those of CT. Thus, this study aimed to assess whether serial LUS scores could predict PMV or successful extubation in severe COVID-19 patients.Methods: LUS was performed for 20 consecutive severe COVID-19 patients at three time points: admission (day 1), after 48 h (day 3), and seventh-day follow-up (day 7). We compared the LUS score with the results of chest X-rays and laboratory tests at three time points. Moreover, we assessed LUS score to determine the inter-rater reliability (IRR) of the results among examiners.Results: While there were no significant differences in mortality in each PMV and successful extubation groups, there were significant differences in LUS scores on day 3 and day 7; XP score on day 7; and P/F ratio on day 7 in the PMV group (p<0.05). There were significant differences in LUS scores on days 3 and 7, C-reactive protein (CRP) levels on day 7, and P/F ratio on day 7 in the successful extubation group (p<0.05). The areas under the curves (AUCs) of LUS score on days 3 and 7, XP score on day 7, and P/F ratio were 0.88, 0.98, 0.77, and 0.80, respectively in the PMV group; and the AUCs of LUS score on days 3 and 7, CRP levels on day 7, and P/F ratio 0.79, 0.90, 0.82, and 0.79, respectively, in the successful extubation group. Variations in serial LUS scores exhibited significant differences between the groups. The serial LUS score on day 7 was higher than that on day 1 in the PMV group but lower in the successful extubation group (p<0.05). However, there was slight IRR agreement in the LUS score changes on days 1 to 7 (κ= 0.15 [95% CI: 0-0.31]). Conclusions: The serial LUS score of severe COVID-19 patients could predicted PMV and successful extubation. To overcome IRR disagreement, the automatic ultrasound judgement, such as deep learning, would be needed.

Tympanic plethysmography in glomus jugulare tumours

1981 ◽  
Vol 95 (6) ◽  
pp. 589-595
Author(s):  
Sayed Tewfik
Keyword(s):  
Pressure Transducer ◽  
Diagnostic Technique ◽  
X Rays ◽  
Axial Tomography ◽  
Non Invasive ◽  
Glomus Jugulare ◽  
Diagnostic Technology ◽  
Carotid Aneurysms ◽  
Pressure Changes ◽  
Degree Of Extension

SummaryTympanic plethysmography is a simple non-invasive diagnostic technique which is used to differentiate between intra-temporal carotid aneurysms and glomus jugulare tumours and to predict the degree of extension of the tumour. It is performed by the indirect recording of volume pressure changes of pulsating tympanic masses using a pressure transducer. The volume pressure change of the pulsating mass is transmitted to the pressure transducer through a saline-filled system.Medical technology has undergone considerable progress with the introduction of new techniques in medical diagnosis less harmful to the patient and with a reduced risk of complications. The collaboration of doctors, scientists and bioengineers has resulted in the evolution of such changes, thereby trying to replace the more aggressive or invasive diagnostic techniques. The ideal diagnostic technology is one without pain, harm or complications to the patient.Medical diagnostic technology may be classified as invasive or noninvasive. Non-invasive diagnostic technology is either active, using an external source of energy such as ultrasound (ultrasonography) or a small dose of X-rays, as in computerized axial tomography; or passive, using the energy emitted by human structures, as in plethysmography.Plethysmography is the recording of volume pressure changes. Oculoplethysmography is used to monitor extracranial occlusive carotid disease (Kartchner and McRae, 1973). The use of sound energy as an internal energy emitted by the human body has proved effective as a passive, non-invasive diagnostic technique (Tewfik, 1976, 1977).Volume pressure changes of intra-temporal carotid aneurysms have been recorded, using a pressure transducer (Tewfik, 1974).In this article the volume pressure changes of glomus jugulare tumours have been recorded and the findings compared with those obtained, and previously published, for intra-temporal carotid aneurysms. Volume pressure changes of pulsating tympanic masses may be called tympanic plethysmography. A trial of this simple non-invasive diagnostic technique for differentiating pulsating tympanic masses is here reported, together with an assessment of the technique in its ability to predict the degree of extension of glomus jugulare tumours.

scholarly journals Diffraction/Scattering Tomography on multi-phase crystalline/amorphous materials

2014 ◽  
Vol 70 (a1) ◽  
pp. C139-C139 ◽  
Author(s):  
Michelle Alvarez-Murga ◽  
Pierre Bleuet ◽  
Christophe Lepoittevin ◽  
Nathalie Boudet ◽  
Gaston Gabarino ◽  
...  
Keyword(s):  
Amorphous Materials ◽  
Structural Information ◽  
Local Variation ◽  
X Rays ◽  
Complex Materials ◽  
Diffraction Scattering ◽  
Invasive Approach ◽  
Non Invasive ◽  
Phase Selectivity ◽  
Multi Phase

By suitably combining diffraction/scattering and tomography (DSCT), it is possible to access to selective submicron 2D/3D structural and micro-structural information, which cannot be obtained from separate, independent diffraction and tomography experiments. DSCT is used to discriminate between multi-phase crystalline and amorphous materials, especially when the similarities in densities limit the use of other methods. In addition, this method is sensitive to local variation of the crystalline state, texture, grain size or strains inside the object and can allow simultaneous 3D mappings of such properties. The DSCT phase-selectivity can be easily combined with fluorescence and absorption for added chemical and density resolution allowing multi-modal analyses. As samples can be used in their original state, this method can be applied without cutting or polishing them. Moreover the setup can be adapted with specific sample environments in order to monitor phase and microstructure evolution as a function of an externally controlled parameter with a non-invasive approach. After a first report on in 1998 [1], since 2008 capabilities of DSCT have been demonstrated using x-rays on complex materials as diverse as biological tissue, pigments, Portland cements, Carbon-based materials, Uranium-based nuclear fuel, Ni/Al2O3 catalysts or amorphous systems [2]. More recently, the technique has evolved towards quantitative characterization of the microstructure and stress/strain through either Rietveld or Peak Profile analyses and also pair distribution function techniques (PDF) and their application to nanostructured materials [3]. In this poster contribution, we briefly review the principle and methodology of pencil-beam based x-ray DSCT which is two-fold: (i) selective structural imaging and (ii) extraction of selective scattered patterns of ultra-minor phases.

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