Introduction:  The Dynamic Imaging Grade of Swallowing Toxicity (DIGEST) scale was developed to evaluate the safety, efficiency, and overall pharyngeal swallowing performance in patients with dysphagia (DIGESTs, DIGESTe, and DIGESTt, respectively). Although various types of swallowing dysfunction are encountered in children with esophageal atresia (EA), oropharyngeal dysphagia poses risk for aspiration. Therefore, a retrospective study was performed to evaluate the safety and efficacy of swallowing by using DIGEST score in children with EA.

Patients And Methods:  Thirty-nine EA patients were included. The demographic features, respiratory problems, results, and outcomes of surgical treatment were evaluated from medical records. The videofluoroscopic swallowing evaluation investigated for both airway protection and bolus residuals at the level of vallecula, posterior pharyngeal wall, and pyriform sinus at liquid and pudding consistencies. The penetration and aspiration scale (PAS) was used to define penetration and aspiration severity, and DIGEST was used to evaluate DIGESTs, DIGESTe, and DIGESTt.

Results:  The median age of the patients were 13 months (7-39 months), and male-to-female ratio was 25:14. Sixty-seven percent of patients were type-C EA and 61% of them has associated anomalies; 38% of patients had aspiration (PAS = 6-8) in liquids and 10% in pudding consistency. Life-threatening/profound swallowing dysfunction in DIGESTe (DIGEST = 4) was seen in 13% ( = 5) of patients; 40% of EA patients showed severe problems in DIGESTt.

Conclusion:  DIGEST is a valid and reliable tool to define the efficacy and safety of swallowing in children with EA.

Download full-text PDF

Source
http://dx.doi.org/10.1055/a-2181-2293DOI Listing

Publication Analysis

Top Keywords

dynamic imaging
8
imaging grade
8
swallowing
8
grade swallowing
8
swallowing toxicity
8
children esophageal
8
esophageal atresia
8
evaluate safety
8
digests digeste
8
swallowing dysfunction
8

Similar Publications

The novel coronavirus (COVID-19) has affected more than two million people of the world, and far social distancing and segregated lifestyle have to be adopted as a common solution in recent years. To solve the problem of sanitation control and epidemic prevention in public places, in this paper, an intelligent disinfection control system based on the STM32 single-chip microprocessor was designed to realize intelligent closed-loop disinfection in local public places such as public toilets. The proposed system comprises seven modules: image acquisition, spraying control, disinfectant liquid level control, access control, voice broadcast, system display, and data storage.

View Article and Find Full Text PDF

Estimating the numbers and whereabouts of internally displaced people (IDP) is paramount to providing targeted humanitarian assistance. In conflict settings like the ongoing Russia-Ukraine war, on-the-ground data collection is nevertheless often inadequate to provide accurate and timely information. Satellite imagery may sidestep some of these challenges and enhance our understanding of the IDP dynamics.

View Article and Find Full Text PDF

Early prediction of patient responses to neoadjuvant chemotherapy (NACT) is essential for the precision treatment of early breast cancer (EBC). Therefore, this study aims to noninvasively and early predict pathological complete response (pCR). We used dynamic ultrasound (US) imaging changes acquired during NACT, along with clinicopathological features, to create a nomogram and construct a machine learning model.

View Article and Find Full Text PDF

Decoding states of consciousness from brain activity is a central challenge in neuroscience. Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in functional connectivity (FC) between distributed brain areas. By clustering dFC matrices from resting-state fMRI, we previously described "brain patterns" that underlie different functional configurations of the brain at rest.

View Article and Find Full Text PDF

In optical imaging of solid tumors, signal contrasts derived from inherent tissue temperature differences have been employed to distinguish tumor masses from surrounding tissue. Moreover, with the advancement of active infrared imaging, dynamic thermal characteristics in response to exogenous thermal modulation (heating and cooling) have been proposed as novel measures of tumor assessment. Contrast factors such as the average rate of temperature changes and thermal recovery time constants have been investigated through an active thermal modulation imaging approach, yielding promising tumor characterization results in a xenograft mouse model.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!