Correlation Engine 2.0
Clear Search sequence regions

  • contrast agent (3)
  • gold (1)
  • humans (1)
  • lymph nodes (14)
  • metastasis (1)
  • patients (1)
  • sentinel (8)
  • Sizes of these terms reflect their relevance to your search.

    To evaluate the location and characterization value of contrast-enhanced ultrasound (CEUS) in the detection of sentinel lymph nodes (SLNs) in malignant melanoma. SLNs and the lymph node network were tracked by subcutaneous injection of ultrasonic contrast agent around the tumor and preoperative localization, and qualitative analyses were performed. The SLNs were also detected by the intraoperative subcutaneous injection of carbon nanoparticles, and the findings were compared with lymph nodes located by CEUS. The accuracy of the preoperative lymph node identification was evaluated by the results of postoperative pathology, which served as the gold standard of detection. In 47 patients with malignant melanoma, the mean number of SLNs detected by CEUS was 1.72 ± 0.10, while that by carbon nanoparticle administration it was 1.79 ± 1.07 (P = .371 > .05). Seven cases of lymph node metastasis were detected by CEUS, with a sensitivity of 70.0%, specificity of 97.3%, positive predictive value of 87.5%, negative predictive value of 92.3%, and accuracy of 91.5%. There was high consistency between the findings of CEUS and pathology in differentiating benign and malignant lymph nodes (kappa = 0.726, χ2  = 25.243, P < .001). CEUS can localize and differentiate SLNs in malignant melanoma, and thus, may potentially guide clinical treatment in the future. © 2022 American Institute of Ultrasound in Medicine.


    Xiao-Hong Deng, Zhong-Shi Du, Zhou-Gui Wu, Yu Chen, Xian-Yi Wu, Li-Na Tang. The Value of Contrast-Enhanced Ultrasound in the Detection of Sentinel Lymph Nodes in Malignant Melanoma. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine. 2023 May;42(5):1015-1022

    Expand section icon Mesh Tags

    Expand section icon Substances

    PMID: 36217560

    View Full Text