ROLE OF DIFFUSION WEIGHTED MAGNETIC RESONANCE IMAGING IN DIFFERENTIATION BETWEEN BENIGN AND MALIGNANT CERVICAL LYMPHADENOPATHIES | ||
| ALEXMED ePosters | ||
| Article 1, Volume 4, Issue 1, March 2022, Pages 34-35 | ||
| Document Type: Preliminary preprint short reports of original research | ||
| DOI: 10.21608/alexpo.2022.122220.1368 | ||
| Authors | ||
| Ali Abdelkarim Farahat; Lamya And algalil Eissa; Zainab Mohamed Elbanawany* | ||
| Department of Radiodiagnosis and intervention, Faculty of medicine, university of Alexandria | ||
| Abstract | ||
| INTRODUCTION Lympadenopathy (LAP) is a disease of LNs in which they are abnormal in size, number or consistency. LN enlargement is of concern to both patients and clinicians, particularly if underlying pathology is due to malignancy. The most accurate method for differentiation between benign and malignant LNs is histological evaluation. However, Ultrasound (US) and US guided fine needle aspiration cytology (FNAC) is invasive and operator dependent. Recently Positron emission tomography (PET) is used for lymph node evaluation with high accuracy, however it carries the risk of exposure to radioactive material. On the other hand, diffusion weighted magnetic resonance imaging (DWI) allows tissue characterization without the need of exposure to ionizing radiation, radioactive material, or even contrast material. AIM OF THE WORK The aim of this work was to characterize the nature and differentiate benign from malignant cervical lymphadenopathy using diffusion-weighted MR imaging. METHODS This study was carried out on thirty patients presenting with enlarged cervical lymph nodes. All patients underwent: Full history taking. Ultrasound or CT as screening tool. MRI neck study including : o -T2 axial and coronal for localization. o -Diffusion weighted imaging with a b factor of 0 and 1000 s/mm2. o -Apparent diffusion coefficient (ADC) map will be reconstructed. · Compare result to histopathology results in all patients. | ||
| Keywords | ||
| Diffusion; lymphadenopathies; imaging | ||
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