已发表论文

基于影像学和炎性指标的诺法图预测胃肠道间质瘤(GIST)的术前隐匿性腹膜转移

 

Authors Xu SJ, Lin GS, Ling HJ, Guo RJ, Chen J, Liao YM, Lin T, Zhou YJ

Received 8 August 2020

Accepted for publication 6 October 2020

Published 18 November 2020 Volume 2020:12 Pages 11713—11721

DOI https://doi.org/10.2147/CMAR.S275422

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Chien-Feng Li

Background: Preoperative imaging examination is the primary method for diagnosing metastatic gastrointestinal stromal tumor (GIST), but it is associated with a high rate of missed diagnosis. Therefore, it is important to establish an accurate model for predicting occult peritoneal metastasis (PM) of GIST.
Patients and Methods: GIST patients seen between April 2002 and December 2018 were selected from an institutional database. Using multivariate logistic regression analyses, we created a nomogram to predict occult PM of GIST and validated it with an independent cohort from the same center. The concordance index (C-index), decision curve analysis (DCA) and a clinical impact curve (CIC) were used to evaluate its predictive ability.
Results: A total of 522 eligible GIST patients were enrolled in this study and divided into training (n=350) and validation cohorts (n=172). Factors associated with occult PM were included in the model: tumor size (odds ratio [OR] 1.194 95% confidence interval [CI], 1.034– 1.378; =0.016), primary location (OR 7.365 95% CI, 2.192– 24.746; =0.001), tumor capsule (OR 4.282 95% CI, 1.209– 15.166; =0.024), Alb (OR 0.813 95% CI, 0.693– 0.954; =0.011) and FIB (OR 2.322 95% CI, 1.410– 3.823; =0.001). The C-index was 0.951 (95% CI, 0.917– 0.985) in the training cohort and 0.946 (95% CI, 0.900– 0.992) in the validation cohort. In the training cohort, the prediction model had a sensitivity of 82.8%, a specificity of 93.8%, a positive predictive value of 54.7%, and a negative predictive value of 98.4%; the validation cohort values were 94.7%, 85.0%, 43.9% and 99.2%, respectively. DCA and CIC results showed that the nomogram had clinical value in predicting occult PM in GIST patients.
Conclusion: Imaging and inflammatory indexes are significantly associated with microscopic metastases of GIST. A nomogram including these factors would have an excellent ability to predict occult PM.
Keywords: gastrointestinal stromal tumor, occult peritoneal metastasis, predictors, imaging index, inflammatory marker