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Computed tomography and magnetic resonance imaging evaluation of lymph node metastasis in early colorectal cancer

  • Joonsung Choi
  • , Soon Nam Oh
  • , Dong Myung Yeo
  • , Won Kyung Kang
  • , Chan Kwon Jung
  • , Sang Woo Kim
  • , Michael Yong Park

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

AIM: To assess the role of computed tomography (CT) and magnetic resonance imaging (MRI) and establish imaging criteria of lymph node metastasis in early colorectal cancer. METHODS: One hundred and sixty patients with early colorectal cancer were evaluated for tumor location, clinical history of polypectomy, depth of tumor invasion, and lymph node metastasis. Two radiologists assessed preoperative CT and/or MRI for the primary tumor site detectability, the presence or absence of regional lymph node, and the size of the largest lymph node. Demographic, imaging, and pathologic findings were compared between the two groups of patients based on pathologic lymph node metastasis and optimal size criterion was obtained. RESULTS: The locations of tumor were ascending, transverse, descending, sigmoid colon, and rectum. One hundred and sixty early colorectal cancers were classified into 3 groups based on the pathological depth of tumor invasion; mucosa, submucosa, and depth unavailable. A total of 20 (12.5%) cancers with submucosal invasion showed lymph node metastasis. Lymph nodes were detected on CT or MRI in 53 patients. The detection rate and size of lymph nodes were significantly higher (P = 0.000, P = 0.044, respectively) in patients with pathologic nodal metastasis than in patients without nodal metastasis. Receiver operating curve analysis showed that a cut-off value of 4.1 mm is optimal with a sensitivity of 78.6% and specificity of 75%. CONCLUSION: The short diameter size criterion of ≥ 4.1 mm for metastatic lymph nodes was optimal for nodal staging in early colorectal cancer.

Original languageEnglish
Pages (from-to)548-554
Number of pages7
JournalWorld Journal of Gastroenterology
Volume21
Issue number2
DOIs
StatePublished - 14 Jan 2015

Bibliographical note

Publisher Copyright:
© The Author(s) 2015.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Computed tomography
  • Early colon cancer
  • Lymph node metastasis
  • Lymph node size
  • Magnetic resonance imaging

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