IJHSR

International Journal of Health Sciences and Research

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Year: 2023 | Month: September | Volume: 13 | Issue: 9 | Pages: 209-214

DOI: https://doi.org/10.52403/ijhsr.20230931

ARFI Elastography of Venous Thrombosis and Adjacent Muscles in Assisting Treatment Management and Prognostication in Tertiary Care Hospital

Dr. Pooja Kalola1, Dr. Sudhakar K2

1Academic Post Graduate Resident, 2Senior Consultants, Unit Head Non-Invasive Vascular Lab and Musculoskeletal Division,
Department Of Radiology and Imaging Sciences, Apollo Hospitals Chennai.

Corresponding Author: Dr. Pooja Kalola

ABSTRACT

Introduction: Deep Vein Thrombosis (DVT) is a condition with potentially severe consequences, including Pulmonary Embolism (PE) and post-thrombotic complications. This study aimed to investigate the characteristics, detection, and management of DVT using Acoustic Radiation Frequency Impulse (ARFI) technology, considering factors like age, comorbidities, and thrombus stage.
Materials and Methods: The study, conducted at Apollo Hospital Chennai, retrospectively analyzed data from 247 patients with DVT. High-end Sonodoppler ARFI was used. Inclusion criteria covered clinically suspected DVT cases and patients with a history of PE and elevated D-Dimer levels. Exclusion criteria applied to non-consenting or suboptimal imaging patients. Statistical analysis employed SPSS software.
Results: Out of 247 patients, 124 controls had mean ARFI values of 0.96 m/sec for veins and 2.52 m/sec for muscles. DVT patients in the acute, subacute, and chronic stages showed distinct ARFI values. Age, gender, and comorbidities were associated with DVT. Thrombus characterization revealed differences in ARFI values.
Moreover, the study revealed significant correlations between ARFI values and various clinical parameters. Vein and muscle ARFI values displayed progressive increments across thrombus stages, aiding in the differentiation between acute, subacute, and chronic DVT. Notably, a statistically significant correlation was observed between ARFI values and liver function tests, platelets, and D-dimer levels, further underscoring the diagnostic potential of ARFI in assessing DVT.
Conclusion: ARFI technology is valuable in diagnosing and managing DVT. It aids in early detection and prognosis, especially in acute-on-chronic cases. However, larger sample sizes are needed to establish ARFI values for chronic DVT. This study highlights ARFI's potential in improving DVT management and outcomes.

Key words: ARFI, Acute DVT, Chronic DVT.

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