Quantitative parameters of contrast-enhanced ultrasound effectively promote the prediction of cervical lymph node metastasis in papillary thyroid carcinoma

• Published in: Drug Discoveries & Therapeutics Vol. 18; no. 1; pp. 44 - 53
• Main Authors: Su, Biao, Li, Lisha, Liu, Yingchun, Liu, Hui, Zhan, Jia, Chai, Qiliang, Fang, Liang, Wang, Ling, Chen, Lin
• Format: Journal Article
• Language: English
• Published: Japan International Research and Cooperation Association for Bio & Socio-Sciences Advancement 29.02.2024
• Subjects: cervical lymph node metastasis; contrast-enhanced ultrasound; papillary thyroid carcinoma; quantitative parameter; quantitative parameter; cervical lymph node metastasis; papillary thyroid carcinoma; contrast-enhanced ultrasound
• DOI: 10.5582/ddt.2023.01095
• ISSN: 1881-7831

Papillary thyroid carcinoma (PTC), the most common endocrine tumor, often spreads to cervical lymph nodes metastasis (CLNM). Preoperative diagnosis of CLNM is important when selecting surgical strategies. Therefore, we aimed to explore the effectiveness of quantitative parameters of contrast-enhanced ultrasound (CEUS) in predicting CLNM in PTC. We retrospectively analyzed 193 patients with PTC undergoing conventional ultrasound (CUS) and CEUS. The CUS features and quantitative parameters of CEUS were evaluated according to PTC size ≤ 10 or > 10 mm, using pathology as the gold standard. For the PTC ≤ 10 mm, microcalcification and multifocality were significantly different between the CLNM (+) and CLNM (-) groups (both P < 0.05). For the PTC > 10 mm, statistical significance was noted between the two groups with respect to the margin, capsule contact, and multifocality (all P < 0.05). For PTC ≤ 10 mm, there was no significant difference between the CLNM (+) and CLNM (-) groups in all quantitative parameters of CEUS (all P > 0.05). However, for PTC > 10 mm, the peak intensity (PI), mean transit time, and slope were significantly associated with CLNM (all P < 0.05). Multivariate analysis showed that PI > 5.8 dB was an independent risk factor for predicting CLNM in patients with PTC > 10 mm (P < 0.05). The area under the curve of PI combined with CUS (0.831) was significantly higher than that of CUS (0.707) or PI (0.703) alone in the receiver operator characteristic curve analysis (P < 0.05). In conclusion, PI has significance in predicting CLNM for PTC > 10 mm; however, it is not helpful for PTC ≤ 10 mm.