AI Article Synopsis

  • The study aimed to assess how accurately and efficiently ultrasonography (US) and strain elastography (SE) can distinguish between benign and malignant cervical lymph nodes (LNs).
  • It involved examining 41 LNs using various imaging techniques and comparing their features to histopathologic findings to identify which characteristics are indicative of malignancy.
  • The results indicated that specific US and SE features, particularly the strain index, can significantly differentiate between benign and malignant LNs, aiding in biopsy and surgical decision-making.

Article Abstract

Purpose: The purpose of this study was to evaluate the diagnostic accuracy and efficiency of ultrasonography (US), especially when combined with strain elastography (SE), in differentiating between benign and malignant cervical lymph nodes (LNs).

Methods: Forty-one LNs were examined by B-mode US, power Doppler US, and SE. The following imaging features were analyzed: shape, echogenicity, echogenic hilum, calcification, intranodal vascular pattern, elasticity scores (5 categories), and strain ratio. The average strain ratio was calculated as the mean strain of the adjacent sternocleidomastoid muscle divided by the mean strain of the target LN. The results of the US and SE features were compared with the histopathologic findings.

Results: The imaging features that were significantly associated with malignant LNs were an increased short-to-long axis diameter ratio, abnormal or absence of hilum, microcalcification, type 2-3-4 vascularity, 3-4-5 elasticity scores, and a high level of strain ratio (P < 0.05). The cutoff value of the strain index was detected as 1.18. According to this, there was a significant difference (P = 0.004) in the strain index between benign and malignant LNs.

Conclusions: Strain elastography is useful in differentiating between benign and malignant cervical LNs, thereby informing decisions to perform a biopsy and/or surgery, and facilitating follow-up.

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Source
http://dx.doi.org/10.1097/RUQ.0000000000000302DOI Listing

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