Advanced Diagnostic & Interventional Radiology Research Center | plaque detection and optimum time of enhancement in acute attack

Advanced Diagnostic & Interventional Radiology Research Center | plaque detection and optimum time of enhancement in acute attack
| Jan 2 2026
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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 : Jan 28 2024 - 09:32
  • : 42
  • Study time : 1 minute(s)

Evaluation of plaque detection and optimum time of enhancement in acute attack multiple sclerosis after contrast injection

Magnetic resonance imaging (MRI) is important in the early diagnosis of novel or relapsing multiple sclerosis (MS). In addition, the optimal MRI protocol plays an important role in detecting MS plaques

 diagnosis of novel or relapsing multiple sclerosis (MS) {faces}

Background: Magnetic resonance imaging (MRI) is important in the early diagnosis of novel or relapsing multiple sclerosis (MS). In addition, the optimal MRI protocol plays an important role in detecting MS plaques.

Purpose: To find the best time to detect MS plaques on MRI after Gadobutrol injection.

Material and methods: Sixty-two relapsing-remitting type MS patients, (56 women, 6 men) with the mean age of 31 ± 7 years were enrolled into this study. The patients underwent T1-weighted MRI scan without contrast agents. Subsequently, Gadobutrol was injected (0.1 mmol/kg) and MRI scanning was repeated after 30 s, 5, 10, 15, and 30 min of Gadobutrol injection. The size, signal intensity, and enhancement pattern were determined for each plaque by contrast-enhanced T1-weighted images.

Results: Enhancing plaques were seen in 42 out of 62 patients. The mean number of enhancing plaques was 4 ± 8 plaques after 30 s of contrast injection. This figure increased to 7 ± 13 plaques after 15 min and 6 ± 10 plaques after 30 min. The signal intensity and size of plaques increased progressively, and the maximum signal intensity and plaque size were seen after 30 min (P < 0.001).

Conclusion: The maximum number of enhancing plaques in MS patients was detected 15 min after contrast agent administration and the size and signal intensity of the lesions also increased remarkably at this time.

 

  • Article_DOI : 10.1177/0284185113495831
  • Author(s) : hassan hashemi,kavous firouznia
  • News Group : research,research article
  • News Code : 278494
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