Nucl Med Mol Imaging.  2015 Jun;49(2):135-142. 10.1007/s13139-015-0327-3.

Correlation of Primary Tumor FDG Uptake with Histopathologic Features of Advanced Gastric Cancer

Affiliations
  • 1Department of Nuclear Medicine, Keimyung University Dongsan Medical Center, 56 Dalseong-ro, Jung-Gu, Daegu, Republic of Korea. won@dsmc.or.kr
  • 2Department of Pathology, Keimyung University Dongsan Medical Center, Jung-Gu, South Korea.

Abstract

PURPOSE
Histopathologic features could affect the FDG uptake of primary gastric cancer and detection rate on FDG PET/CT. The aim of this study was to evaluate the FDG uptake of primary gastric cancer by correlating it with the histopathologic features of the tumors.
METHODS
Fifty patients with locally advanced gastric adenocarcinoma who were referred for preoperative FDG-PET/CT scans were enrolled in this study. The detection rate of PET/CT and maximum standardized uptake values (SUVmax) of the primary tumor were compared using the WHO, Lauren,Ming and Borrmann classifications and tumor size and location.
RESULTS
In 45 of the 50 patients (90 %), the primary gastric tumors were detected by FDG PET/CT. On comparison using the WHO classification, the detection rate and SUVmax of the tubular type were significantly higher than those of the poorly cohesive type. On comparison using the Lauren and Ming classifications, the SUVmaxS of the intestinal type and expanding type were significantly higher than those of the diffuse and infiltrative type, respectively. On comparison using the Borrmann classification and tumor size and location, there was no significant difference in the detection rate and SUVmax of primary gastric tumors.
CONCLUSION
This study demonstrates that the poorly cohesive type according to theWHO classification, diffuse type according to the Lauren classification and infiltrative type according to the Ming classification have low FDG uptake in patients with locally advanced gastric carcinoma. Understanding the relationship between primary tumor FDG uptake and histopathologic features would be helpful in detecting the primary tumor by FDG PET/CT in patients with gastric cancer.

Keyword

Gastric carcinoma; WHO classification; Lauren classification; Ming classification; PET/CT; FDG

MeSH Terms

Adenocarcinoma
Classification
Humans
Positron-Emission Tomography and Computed Tomography
Stomach Neoplasms*
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