Aim
Constipation is one of the most common complaints in childhood affecting the quality of life of both children and parents. This study intends to investigate rectal measurements on ultrasound and their relationship with bowel habits.
Methods
In this cross‐sectional study, 100 children with functional constipation (FC) referred to a single hospital between 2018 and 2019 were enrolled. After obtaining informed consent, a questionnaire including demographic and constipation characteristics was completed, and a physical examination including digital rectal examination (DRE) was performed. Complete abdominopelvic ultrasound was then performed. Target measurements included rectal transverse diameter (RTD), rectal anterior wall thickness (RAWT) and the presence of faecal impaction.
Results
One hundred children with a mean age of 7.68 ± 3.30 years were present in the study. The mean duration of constipation was 15.86 ± 13.34 months. In 14% of children, painful defaecation was reported. 88% of children had some degree of faecal incontinence. According to the ultrasound findings, the mean RTD and RAWT were 3.39 ± 0.73 cm and 2.77 ± 0.68 mm, respectively, and faecal impaction was present in 70% of cases. There was a positive correlation between RTD and RAWT with age, duration of constipation and the presence of hard stools, and there was a negative correlation with frequency of defecation (P < 0.05).
Conclusion
RTD and RAWT increased with increasing constipation duration and the presence of hard stools and decreased with increasing frequency of defaecation. DRE could be omitted from the initial clinical assessment if you had access to reliable ultrasound data.
Objective: The Thyroid Imaging Reporting and Data System (TIRADS) has been proposed to reduce the number of unnecessary fine needle aspirations (FNA) from thyroid nodules. Materials and Methods: An individual radiologist provided sonographic examinations and FNA on a collection of 188 thyroid nodules. The recommendations based on the TIRADS system, for each nodule, was determined and evaluated against the cytology results. Results: The American College of Radiology (ACR), artificial intelligence (AI), European (EU), and Korean (K) scoring systems reduced FNAs by 53%, 56%, 48%, and 28%, respectively. Among those lesions without a recommendation for immediate FNA, The ACR would have missed four malignant nodules, the AI would have missed four malignant nodules, and K TIRADS would have missed three malignant nodules but with a recommended follow-up imaging. The ACR would have missed three malignant nodules, the AI would have missed four malignant nodules, and EU TIRADS would have missed four malignant nodules, without a recommended follow-up examination. The highest and lowest kappa interrelated agreements were between ACR and AI (0.902) and AI and K (0.448). Conclusion: The ACR and AI TIRADS could substantially decrease the number of FNAs but rely on follow-up imaging. The EU TIRADS reduced the number of FNAs, the least however this system had less dependence on follow-up imaging. The K TIRADS was the most conservative method and the least dependent on follow-up diagnostics.
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