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Diagnostic and clinical usefulness of thin-slice CT/DWI in the diagnosis of esophageal cancer lymph node metastasis

  • Toshiharu Hanaoka
  • , Tuguaki Kouno
  • , Kiyohiko Shuto
  • , Gaku Ohira
  • , Kouichi Hayano
  • , Hisashi Gunji
  • , Takayuki Touma
  • , Tomoyoshi Aoyagi
  • , Kazuo Narushima
  • , Shunsuke Imanishi
  • , Toru Tochigi
  • , Takeshi Fujishiro
  • , Hisahiro Matsubara
  • Chiba University
  • National Hospital Organization Chiba Medical Center
  • Chiba Cancer Center
  • Chiba Emergency Medical Center
  • Funabashi Municipal Medical Center
  • Kamagaya General Hospital

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Background: We examined the complementary diagnostic results and clinical usefulness of Diffusion-weighted magnetic resonance imaging(DWI) in addition to the detection of esophageal cancer lymph node metastasis on thin-slice multidetector CT(thin-slice CT). Methods: The subjects included 95 patients of preoperatively esophageal cancer who underwent radical resection. And the following two items were evaluated.(1) The diagnostic results for the lymph nodes were examined in a retrospective study using single thin-slice CT and a combination of DWI and thin-slice CT(thin-slice CT/DWI).(2) The relationship between lymph node metastasis and the survival rate was assessed according to the thin-slice CT/DWI diagnosis. Results:(1) In the retrospective study based on the single thin-slice CT diagnosis, the sensitivity was 38%, the specificity was 80%, and the accuracy was 72%. On thin-slice CT/DWI, the sensitivity was 45%, the specificity was 99%, and the accuracy was 90%.(2) In a comparative study of the existence of positive lymph node metastasis and the survival rate according to the thin-slice CT/DWI diagnosis, the positive examples of lymph node metastasis were found to be significantly unfavorable. Conclusions: Thin-slice CT/DWI is useful for evaluating the patient’s condition and determining the prognosis.

Original languageEnglish
Pages (from-to)33-40
Number of pages8
JournalChiba Medical Journal
Volume95E
DOIs
StatePublished - 2019

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

  • Diffusion-weighted imaging
  • Esophageal cancer
  • Lymph node diagnostics
  • MRI

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