Advanced Diagnostic & Interventional Radiology Research Center | Ultrasonographic evaluation of gastroduodenal wall thickness for prediction of gastritis and helicobacter pylori infection in children

Advanced Diagnostic & Interventional Radiology Research Center | Ultrasonographic evaluation of gastroduodenal wall thickness for prediction of gastritis and helicobacter pylori infection in children
| Dec 11 2025
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Advanced Diagnostic & Interventional Radiology Research Center

COVID-19 pandemic 

During the COVID-19 pandemic, the Radiology Research Center at Tehran University of Medical Sciences continued its research activities despite the challenges posed by the increased demand for CT scans of COVID-19 patients and the necessity of adhering to strict health protocols. This center played a crucial role in improving medical imaging techniques, optimizing diagnostic protocols, and advancing technologies related to CT scan image analysis.

Faculty members, researchers, and staff remained committed to ensuring the safety and well-being of healthcare professionals and patients while actively engaging in imaging data analysis, developing artificial intelligence algorithms for faster disease detection, publishing scientific articles, and presenting their findings at international conferences. These efforts aimed to enhance diagnostic accuracy, improve treatment processes, and alleviate pressure on healthcare systems.

 

Key achievements of the Radiology Research Center during the COVID-19 pandemic include:


✔️ Development and optimization of lung imaging protocols for faster and more accurate COVID-19 diagnosis
✔️ Implementation of artificial intelligence technologies for automated CT scan analysis and reduced diagnosis time
✔️ Publication of high-impact research articles on innovative imaging methods for COVID-19 patients
✔️ Participation in national and international projects focused on COVID-19 diagnosis and patient management

The center remains dedicated to advancing research in medical imaging and continues to contribute as a leading scientific institution in improving the quality of diagnostic and therapeutic services.

 

Some of the center's significant achievements during the pandemic include:

 

  • Release Date : Sep 23 2024 - 12:19
  • : 162
  • Study time : 1 minute(s)

Ultrasonographic evaluation of gastroduodenal wall thickness for prediction of gastritis and helicobacter pylori infection in children

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Background/Objective: There is no report about the relationship between the thickness of gastric wall layers measured with transabdominal ultrasonography and the presence of gastritis or Helicobacter pylori infection. The aim of this study was to assess the accuracy of sonography in diagnosis of gastritis and Helicobacter pylori infection. Patients and Methods: One-hundred children aged 1 to 15 years who needed upper gastrointestinal endoscopy and biopsy because of suspected gastritis underwent transabdominal ultrasonography to measure thickness of different layers of the stomach antrum and duodenal bulb wall. The wall layer thickness was compared with the results of endoscopy for gastritis and the presence of Helicobacter pylori infection. Results: The mean thickness of muscularis mucosa and the sum of muscularis mucosa and submucosa in both gastric antrum and duodenal bulb were significantly higher in patients with Helicobacter pylori infection than those without infection (mean thickness in gastric antrum: 0.65±0.25mm vs. 0.53±0.19mm [p-value=0.03] and 1.21±0.35mm vs. 1.07±0.26mm [p-value=0.03], respectively; mean thickness in duodenal bulb: 0.69±0.32mm vs. 0.48±0.20mm [p-value=0.001] and 1.25±0.35mm vs. 0.99±0.28mm [p-value=0.002], respectively). The mean thickness of muscularis mucosa plus submucosa in the duodenal bulb was also more in patients with gastritis (1.09±0.35mm vs. 0.95±0.20mm [p-value=0.02]). Several cut points were determined to predict the results of endoscopy. Conclusion: Transabdominal ultrasonography is a noninvasive and easily available method in evaluating children with suspected gastritis and predicting some findings of endoscopic evaluations.

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  • News Group : research,articles,AI,AI articles
  • News Code : 278840
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