Literature DB >> 12485253

Volume of cervical lymph nodes using 3D ultrasonography. Differentiation of metastatic from reactive lymphadenopathy in primary head and neck malignancy.

H-C Kim1, M H Han, K-H Do, K H Kim, H J Choi, A Y Kim, M W Sung, K-H Chang.   

Abstract

PURPOSE: To assess the usefulness of volume measurement using 3D US for depicting metastatic cervical lymph nodes.
MATERIAL AND METHODS: Thirty-five cervical lymph nodes in 13 patients with primary head and neck malignancy were included in this study. US with volume acquisition was prospectively performed with a 5-10 MHz linear mechanical volume probe. Volume measurement of the node was calculated using a 3D automatic volume calculation program. The excised nodes matched on US were examined histopathologically.
RESULTS: The volume of malignant nodes ranged from 0.444 to 4.442 cm3, the volume of the benign nodes from 0.143 to 1.176 cm3. Combinations of high positive (>80%) and negative (>90%) predictive values were obtained at a cut-off value of 0.7 cm3.
CONCLUSION: Volume measurement of cervical nodes using 3D US can be a useful tool for differentiating metastatic from benign nodes in patients with primary head and neck malignancy.

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Year:  2002        PMID: 12485253     DOI: 10.1080/j.1600-0455.2002.430606.x

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.701


  3 in total

1.  Usefulness of ultrasonography for the evaluation of cervical lymphadenopathy.

Authors:  Rahul Khanna; Avinash Dutt Sharma; Seema Khanna; Mohan Kumar; Ram C Shukla
Journal:  World J Surg Oncol       Date:  2011-02-28       Impact factor: 2.754

2.  Advanced 3D-Sonographic Imaging as a Precise Technique to Evaluate Tumor Volume.

Authors:  R Pflanzer; M Hofmann; A Shelke; A Habib; W Derwich; T Schmitz-Rixen; A Bernd; R Kaufmann; J Bereiter-Hahn
Journal:  Transl Oncol       Date:  2014-12       Impact factor: 4.243

3.  Therapeutic response assessment using 3D ultrasound for hepatic metastasis from colorectal cancer: Application of a personalized, 3D-printed tumor model using CT images.

Authors:  Ye Ra Choi; Jung Hoon Kim; Sang Joon Park; Bo Yun Hur; Joon Koo Han
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

  3 in total

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