Advanced Diagnostic & Interventional Radiology Research Center | Shear wave elastography differentiates cervical nodes

Advanced Diagnostic & Interventional Radiology Research Center | Shear wave elastography differentiates cervical nodes
| Dec 12 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 : Feb 16 2025 - 11:15
  • : 143
  • Study time : Less than one minute

Diagnostic Value of Shear Wave Elastography in Differentiation between Benign from Malignant Cervical Lymph Nodes

Shear Wave Elastography in Differentiation Cervical Lymph Nodes {faces}

Background: This study aims to evaluate the role of Shear Wave Elastography (SWE) in the differentiation of malignant from benign cervical lymph nodes and compare its accuracy with conventional ultrasound. 
Methods: Seventy-one lymph nodes (malignant=52, benign=19) were investigated by both conventional sonography and SWE. Shear Wave Velocity (SWV) and color map were obtained for each lymph node before tissue sampling. R statistical software (x64, v3.6.1) was used for statistical analysis.
Results: Among all the conventional and elastography features, color map grading and shear wave velocity (SWV) had the most correlation with malignancy, even in normal-sized nodes. SWV was significantly correlated with the pathology (rpb=0.62, p<0.00). The best cutoff-value for SWV was 2.71 m/s (sensitivity: 82.7%, specificity:84.2%, AUC=0.92). The best predicting model by multivariate analysis was obtained by a combination of SWV and color map grading (sensitivity=92.3%, specificity=94.7%). 
Conclusion: SWE is a valuable method for the differentiation of malignant from benign lymph nodes. It would help to find the proper lymph node for biopsy.

  • Article_DOI : http://dx.doi.org/10.18502/jimc.v6i4.13446
  • Author(s) : mohammadreza chavoshi,leila aghaghazvini
  • News Group : research,research article
  • News Code : 293449
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