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Journal of Zhejiang University SCIENCE B 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/jzus.B2300929


Prediction of peritoneal free cancer cells in gastric cancer patients by magnetic resonance golden-angle radial sampling dynamic contrast-enhanced imaging


Author(s):  Xueqing YIN, Xinzhong RUAN, Yongmeng ZHU, Yongfang YIN, Rui HUANG, Chao LIANG

Affiliation(s):  The First Affiliated Hospital of Ningbo University, Ningbo 315000, China; more

Corresponding email(s):   yinxueqing301@163.com

Key Words:  Gastric cancer, Magnetic resonance, Golden-Angle Radial Sampling, Nomogram model, Peritoneal free cancer cells


Xueqing YIN, Xinzhong RUAN, Yongmeng ZHU, Yongfang YIN, Rui HUANG, Chao LIANG. Prediction of peritoneal free cancer cells in gastric cancer patients by magnetic resonance golden-angle radial sampling dynamic contrast-enhanced imaging[J]. Journal of Zhejiang University Science B, 1998, -1(-1): .

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author="Xueqing YIN, Xinzhong RUAN, Yongmeng ZHU, Yongfang YIN, Rui HUANG, Chao LIANG",
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doi="10.1631/jzus.B2300929"
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%T Prediction of peritoneal free cancer cells in gastric cancer patients by magnetic resonance golden-angle radial sampling dynamic contrast-enhanced imaging
%A Xueqing YIN
%A Xinzhong RUAN
%A Yongmeng ZHU
%A Yongfang YIN
%A Rui HUANG
%A Chao LIANG
%J Journal of Zhejiang University SCIENCE B
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%I Zhejiang University Press & Springer
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T1 - Prediction of peritoneal free cancer cells in gastric cancer patients by magnetic resonance golden-angle radial sampling dynamic contrast-enhanced imaging
A1 - Xueqing YIN
A1 - Xinzhong RUAN
A1 - Yongmeng ZHU
A1 - Yongfang YIN
A1 - Rui HUANG
A1 - Chao LIANG
J0 - Journal of Zhejiang University Science B
VL - -1
IS - -1
SP -
EP -
%@ 1673-1581
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.B2300929


Abstract: 
Objective: peritoneal free cancer cells can negatively impact disease progression and patient outcomes in gastric cancer. This study aimed to investigate the feasibility of using magnetic resonance (MR) golden-Angle Radial Sampling (GRASP) dynamic contrast-enhanced imaging to predict the presence of peritoneal free cancer cells in gastric cancer patients. Methods: All enrolled patients were consecutively divided into analysis and validation groups. Preoperative MRI scans and perfusion were performed in patients with gastric cancer undergoing surgery, and peritoneal lavage specimens were collected for examination. Based on the peritoneal lavage cytology (PLC) results, patients were divided into negative and positive lavage fluid group. The data collected included clinical and magnetic resonance information. A nomogram prediction model was constructed to predict the positive rate of peritoneal lavage fluid, and the validity of the model was verified based on data from the verification group. Results: There was no statistical difference between the proportion of PLC positive cases predicted by GRASP MR and the actual PLC test (χ2=7.26, P=0.95). MR Tumor (T) staging, tumor thickness, and perfusion parameter Tofts-Ketty model volume transfer constant (Ktrans) were independent predictors of positive peritoneal lavage fluid. The nomogram model featured a C-index of 0.785 and 0.742 for the modeling and validation groups, respectively. Conclusion: GRASP MR dynamic contrast-enhanced imaging could effectively predict peritoneal free cancer cells in gastric cancer patients. The nomogram model constructed using these predictors may help clinicians to better predict the risk of peritoneal free cancer cells being present in gastric cancer patients.

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