Can low-dose CT perfusion imaging accurately assess response of advanced gastric cancer with neoadjuvant chemotherapy?

2017 ◽  
Vol 25 (6) ◽  
pp. 981-991 ◽  
Author(s):  
Zong-Qiong Sun ◽  
Gen Yan ◽  
Yu-Xi Ge ◽  
Jie Li ◽  
Lin-Fang Jin ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Gastric Cancer ◽  
Perfusion Imaging ◽  
Low Dose ◽  
Ct Perfusion ◽  
Low Dose Ct ◽  
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 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

Low-dose cerebral CT perfusion imaging (CTPI) of senile dementia: Diagnostic performance

2013 ◽  
Vol 56 (1) ◽  
pp. 61-67 ◽  
Author(s):  
Zhen Tang ◽  
Feng Chen ◽  
Jie Huang ◽  
Linghua Shi ◽  
H.T. Gong ◽  
...  
Keyword(s):  
Perfusion Imaging ◽  
Diagnostic Performance ◽  
Low Dose ◽  
Senile Dementia ◽  
Ct Perfusion ◽  
Ct Perfusion Imaging

Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging

2009 ◽  
Author(s):  
Xin Liu ◽  
Andrew N. Primak ◽  
Lifeng Yu ◽  
Hua Li ◽  
James D. Krier ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Quantitative Evaluation ◽  
Perfusion Imaging ◽  
Low Dose ◽  
Ct Perfusion ◽  
Ct Perfusion Imaging
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