Accuracy of EUS and CT imaging in preoperative gastric cancer staging

J Surg Oncol. 2015 Jun;111(8):1016-20. doi: 10.1002/jso.23919. Epub 2015 Apr 14.

Abstract

Background: Neoadjuvant therapy is recommended for locally advanced gastric cancer patients (stage IB-IIIC). The objective of this study is to evaluate the accuracy of endoscopic ultrasound (EUS) and computed tomography (CT) in identifying patients with locally advanced gastric cancer.

Methods: Patients with gastric adenocarcinoma who underwent gastrectomy at our institution were reviewed. Preoperative EUS and CT staging were compared with pathologic staging to determine accuracy.

Results: Between 2001 and 2013, 280 patients were identified. Forty-nine patients (18%) who underwent preoperative staging by EUS were analyzed. The accuracy of EUS in identifying individual T stage and N stage was 41.0% and 42.9%, respectively. EUS had moderate accuracy in differentiating locally advanced from early (stage 0-IA) disease (75.5%, area under curve (AUC) 0.772). For individual T stage and N stage, the accuracy of CT was 4.0% and 56%, respectively. CT had relatively poor accuracy in differentiating locally advanced from early disease (60.0%, AUC 0.649).

Conclusions: EUS and CT had poor performance in identifying individual T and N stage although EUS demonstrated moderate accuracy in identifying patients with locally advanced disease. A combined staging approach, in addition to further optimization of staging modalities, is required for accurate staging for patients with gastric cancer.

Keywords: N stage; T stage; computed tomography; endoscopic ultrasound; neoadjuvant.

MeSH terms

  • Adenocarcinoma / diagnostic imaging
  • Adenocarcinoma / pathology*
  • Adenocarcinoma / surgery
  • Adult
  • Aged
  • Aged, 80 and over
  • Endosonography
  • Female
  • Gastrectomy
  • Humans
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Preoperative Care
  • Stomach Neoplasms / diagnostic imaging
  • Stomach Neoplasms / pathology*
  • Stomach Neoplasms / surgery
  • Tomography, X-Ray Computed