1.Multi-phase CT for predicting risk of gastric stromal tumor with the maximum diameter≤5 cm
Qiwen ZHANG ; Gang PENG ; Buhan ZHANG ; Jihong SUN
Chinese Journal of Medical Imaging Technology 2025;41(5):759-763
Objective To observe the value of multi-phase CT for predicting the risk of gastric stromal tumor(GST)with the maximum diameter≤5 cm.Methods Totally 329 GST patients with the maximum diameter≤5 cm were retrospectively enrolled,and divided into low-risk group(n=262)and high-risk group(n=67)based on postoperative pathological result.The clinical and CT data were compared between groups,logistic regression analysis was performed to construct a model,and its efficacy for predicting GST risk was analyzed.Results Significant differences in tumor maximum diameter and the proportion of necrosis,surface ulcers and enlarged vessel feeding or draining the mass(EVFDM)were found between low-risk group and high-risk group(all P<0.05),while no significant differences in other clinical and CT data(all P>0.05).Tumor maximum diameter,surface ulcers rate and the incidence of EVFDM were independent predictive factors of the risk of GST with the maximum diameter≤5 cm.The sensitivity,specificity and area under the curve of the combination of above three for predicting the risk of GST with the maximum diameter≤5 cm was 64.23%,80.94%and 0.760,respectively.Conclusion The tumor maximum diameter,surface ulcers rate and the incidence of EVFDM based on multi-phase CT could help for predicting the risk of GST with the maximum diameter≤5 cm.
2.Multi-phase CT for predicting risk of gastric stromal tumor with the maximum diameter≤5 cm
Qiwen ZHANG ; Gang PENG ; Buhan ZHANG ; Jihong SUN
Chinese Journal of Medical Imaging Technology 2025;41(5):759-763
Objective To observe the value of multi-phase CT for predicting the risk of gastric stromal tumor(GST)with the maximum diameter≤5 cm.Methods Totally 329 GST patients with the maximum diameter≤5 cm were retrospectively enrolled,and divided into low-risk group(n=262)and high-risk group(n=67)based on postoperative pathological result.The clinical and CT data were compared between groups,logistic regression analysis was performed to construct a model,and its efficacy for predicting GST risk was analyzed.Results Significant differences in tumor maximum diameter and the proportion of necrosis,surface ulcers and enlarged vessel feeding or draining the mass(EVFDM)were found between low-risk group and high-risk group(all P<0.05),while no significant differences in other clinical and CT data(all P>0.05).Tumor maximum diameter,surface ulcers rate and the incidence of EVFDM were independent predictive factors of the risk of GST with the maximum diameter≤5 cm.The sensitivity,specificity and area under the curve of the combination of above three for predicting the risk of GST with the maximum diameter≤5 cm was 64.23%,80.94%and 0.760,respectively.Conclusion The tumor maximum diameter,surface ulcers rate and the incidence of EVFDM based on multi-phase CT could help for predicting the risk of GST with the maximum diameter≤5 cm.

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