Perfusion changes in gastric adenocarcinoma: evaluation with 64-section MDCT.
BACKGROUND
Perfusion CT has been applied in many clinical areas, but few studies have addressed gastric cancer. This study is to investigate the feasibility of first-pass perfusion CT with volume-based technique to assess microcirculation of gastric adenocarcinoma.


METHODS
Perfusion CT of gastric adenocarcinoma was performed with 64-section MDCT in 58 patients, which were subdivided into three subgroups according to the location of the tumor. Perfusion, peak enhancement, time to peak, and blood volume were computed in the tumor and in normal gastric wall. Mean values of perfusion parameters were compared between the tumor and normal stomach, between tumors with and without lymph node metastases, and between different stages.


RESULTS
Blood volume was significantly increased in gastric adenocarcinoma compared with normal stomach (19.75 +/- 14.74 vs. 13.59 +/- 11.46 mL/100 g, in total stomach, P = 0.004). A total of 10.55 mL/100 g of blood volume was employed as the cut-off value to discriminate the microcirculation of the tumor from that of the normal stomach. There were no significant differences of any perfusion parameters between the subgroups with and without lymph node metastases, or between early and advanced cancer.


CONCLUSIONS
The first-pass perfusion CT with whole tumor acquisition technique is a feasible technique for quantifying tumor vascularity and angiogenesis in gastric adenocarcinoma.
Yao
Jin
J
Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yang
Zhi-gang
ZG
Chen
Tian-wu
TW
Li
Yuan
Y
Yang
Lin
L
D000230:Adenocarcinoma / Q000000981:diagnostic imaging* / Q000473:pathology; D000328:Adult; D001706:Biopsy; D001810:Blood Volume; D003287:Contrast Media; D005240:Feasibility Studies; D005260:Female; D049671:History, 18th Century; D006801:Humans; D007479:Iopamidol; D008297:Male; D008833:Microcirculation; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging*; D011237:Predictive Value of Tests; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted; D012680:Sensitivity and Specificity; D013274:Stomach Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D014057:Tomography, X-Ray Computed / Q000379:methods*
D003287:Contrast Media; D007479:Iopamidol