scholarly journals An application study of CT perfusion imaging in assessing metastatic involvement of perigastric lymph nodes in patients with T1 gastric cancer

2020 ◽  
Vol 93 (1106) ◽  
pp. 20190790
Author(s):  
Zongqiong Sun ◽  
Shudong Hu ◽  
Jie Li ◽  
Teng Wang ◽  
Zhihui Xie ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Nodes ◽  
Perfusion Imaging ◽  
Ct Perfusion ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Short Axis ◽  
Mean Values ◽  
Ct Perfusion Imaging ◽  
Metastatic Involvement

Objective: To assess metastatic involvement of perigastric lymph nodes (PLNs) in patients with T1 gastric cancer by using CT perfusion imaging (CTPI). Methods: A total of 82 annotated PLNs of 33 patients with T1 gastric cancer confirmed by endoscopic ultrasonography underwent CTPI and portal phase CT scan before operation. The scan data were post-processed to acquire perfusion maps and calculate perfusion parameters including blood flow (BF) and permeability surface (PS). A radiologist measured the short axis diameters and perfusion parameters of PLNs. According to the post-operative pathology result, PLNs were divided into two groups: metastatic and inflammatory LNs. Perfusion parameters values and the size of PLNs between two groups were respectively compared statistically by t-test, and a receiver operating characteristic curve analysis was used to determine the optimal diagnostic cut-off value with sensitivity, specificity and area under the curve. Results: Examined 82 PLNs were metastatic in 45 (54.9%) and inflammatory in 37 (45.1%). The mean values of perfusion parameters and the short axis diameters in metastatic and inflammatory PLNs, respectively, were BF of 97.48 vs 81.21 ml/100 mg /min (p < 0.001), PS of 45.11 vs 36.80 ml/100 mg /min (p < 0.001), and the size of 1.51 cm vs 1.29 cm (p = 0.059). The sensitivity of 84.4%, specificity of 67.6% and area under the curve of 0.826 for BF with cut-off value of 88.89 ml/100 mg /min for differentiating metastatic from inflammatory nodes were higher than those of PS or the size of PLNs (p < 0.001). Conclusion: CT perfusion parameters values were different between metastatic and inflammatory PLNs in T1 gastric cancer. BF value may be the most reliable diagnostic marker of metastatic PLNs, and it is helpful for clinicians to choose treatment modality or management plan in T1 gastric cancer patients. Advances in knowledge: CTPI gives information on vascularization of LNs. BF value might be a more effective marker than PS or the size of LNs for differentiating metastatic from inflammatory LNs in patients with T1 gastric cancer.

Clinical Applications of Computed Tomography (CT) Perfusion Imaging in Gastric Cancer

2015 ◽  
Vol 5 (8) ◽  
pp. 1931-1935
Author(s):  
Z. Q. Sun ◽  
X. H. Li ◽  
Z. Wang ◽  
W. Cai ◽  
L. Chen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Computed Tomography ◽  
Perfusion Imaging ◽  
Ct Perfusion ◽  
Clinical Applications ◽  
Ct Perfusion Imaging

The feasibility of low-dose CT perfusion imaging in gastric cancer

2017 ◽  
Vol 25 (5) ◽  
pp. 847-855 ◽  
Author(s):  
Zong-Qiong Sun ◽  
Yu-Xi Ge ◽  
Lin Chen ◽  
Jie Li ◽  
Lin-Fang Jin ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Perfusion Imaging ◽  
Low Dose ◽  
Ct Perfusion ◽  
Low Dose Ct ◽  
Ct Perfusion Imaging

scholarly journals A novel combination of serum microRNAs for the detection of early gastric cancer

2021 ◽  
Author(s):  
Seiichiro Abe ◽  
Juntaro Matsuzaki ◽  
Kazuki Sudo ◽  
Ichiro Oda ◽  
Hitoshi Katai ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Expression Profiles ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Cancer Center ◽  
Serum Samples ◽  
Retrospective Case ◽  
Serum Mirnas ◽  
Validation Set

Abstract Background The aim of this study was to identify serum miRNAs that discriminate early gastric cancer (EGC) samples from non-cancer controls using a large cohort. Methods This retrospective case–control study included 1417 serum samples from patients with EGC (seen at the National Cancer Center Hospital in Tokyo between 2008 and 2012) and 1417 age- and gender-matched non-cancer controls. The samples were randomly assigned to discovery and validation sets and the miRNA expression profiles of whole serum samples were comprehensively evaluated using a highly sensitive DNA chip (3D-Gene®) designed to detect 2565 miRNA sequences. Diagnostic models were constructed using the levels of several miRNAs in the discovery set, and the diagnostic performance of the model was evaluated in the validation set. Results The discovery set consisted of 708 samples from EGC patients and 709 samples from non-cancer controls, and the validation set consisted of 709 samples from EGC patients and 708 samples from non-cancer controls. The diagnostic EGC index was constructed using four miRNAs (miR-4257, miR-6785-5p, miR-187-5p, and miR-5739). In the discovery set, a receiver operating characteristic curve analysis of the EGC index revealed that the area under the curve (AUC) was 0.996 with a sensitivity of 0.983 and a specificity of 0.977. In the validation set, the AUC for the EGC index was 0.998 with a sensitivity of 0.996 and a specificity of 0.953. Conclusions A novel combination of four serum miRNAs could be a useful non-invasive diagnostic biomarker to detect EGC with high accuracy. A multicenter prospective study is ongoing to confirm the present observations.

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