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Article ; Online: Role of Sonography and Sonoelastography in Characterisation of Cervical Lymphadenopathy with Pathological Association

Sumit Kaushik / Madhu Sharma / Lal Bahadur Sharma / Ankur Malhotra / Deepti Arora / Anshul Jain

Journal of Clinical and Diagnostic Research, Vol 16, Iss 4, Pp TC01-TC

A Cohort Study

2022  Volume 05

Abstract: Introduction: Identification of the nature of lymph nodes is one of the most important parameters for diagnosis in any oncological setting. The lymph nodes help in staging and this directly affects the prognostic outcome and treatment decision. ... ...

Abstract Introduction: Identification of the nature of lymph nodes is one of the most important parameters for diagnosis in any oncological setting. The lymph nodes help in staging and this directly affects the prognostic outcome and treatment decision. Ultrasound is the preferred imaging method for distinguishing between benign and malignant superficial lymph nodes given ease of availability and its low cost. However, there is no reliable and definitive sonographic criterion in ultrasound to categorise lymph nodes as benign or malignant. Aim: To evaluate the role of sonography and sonoelastography in characterisation of cervical lymphadenopathy and to associate the imaging findings with cytopathology. Materials and Methods: This was a prospective cohort study, conducted over a period of one year in Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India, constituting a total of 60 patients with enlarged cervical lymph nodes and evaluated on B-mode ultrasound and elastography in the present study. The ultrasonography was performed using either Acuson S3000 ultrasound system (Siemens Medical Solutions, Mountain View, CA) with a 4 to 9 MHz linear transducer for conventional sonography and Acoustic Radiation Force Impulse (ARFI) imaging. Results of radiological findings were tabulated, evaluated and collated with pathological findings. Results: ARFI imaging displayed a sensitivity and specificity of 80% and 97.5% respectively with a Positive Predictive Value (PPV) and Negative Predictive Value (NPV) of 94.1% and 90.7% respectively in distinguishing malignant from benign cervical lymphadenopathy with the diagnostic accuracy being 91.67%. Using Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) of 0.925, a cut-off value for shear wave velocity of 2.98 m/s was obtained. Conclusion: ARFI is a novel technique which can be used to characterise the nature of cervical lymph nodes. Present study demonstrated high diagnostic accuracy (91.67%) in comparison with histopathological ...
Keywords lymph nodes ; lymphoma ; metastases ; tuberculous nodes ; ultrasound ; Medicine ; R
Subject code 610
Language English
Publishing date 2022-04-01T00:00:00Z
Publisher JCDR Research and Publications Private Limited
Document type Article ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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