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Risk stratification in GIST: shape quantification with CT is a predictive factor.

Sheng-Cai Wei1, Liang Xu2, Wan-Hu Li2

  • 1Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, No 440 Jiyan Road, Jinan, 250117, Shandong Province, People's Republic of China.

European Radiology
|January 5, 2020
PubMed
Summary
This summary is machine-generated.

Tumor shape, quantified by the big angle/small angle (BiA/SmA) ratio, independently predicts risk levels in gastrointestinal stromal tumors (GISTs). This shape analysis offers better predictive power for GIST risk stratification and mitotic value than longest diameter (LD).

Keywords:
FormGastrointestinal stromal tumorRiskTomographyx-ray

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Area of Science:

  • Oncology
  • Radiology
  • Pathology

Background:

  • Tumor shape correlates with genomic subtypes and patient outcomes in various cancers.
  • Accurate risk stratification of gastrointestinal stromal tumors (GISTs) is crucial for patient management.
  • The relationship between GIST shape and risk stratification requires further investigation.

Purpose of the Study:

  • To investigate the association between tumor shape characteristics and risk stratification in GISTs.
  • To evaluate the efficacy of quantitative shape analysis in predicting GIST risk level and mitotic value.
  • To compare the predictive performance of tumor shape parameters with the longest diameter (LD).

Main Methods:

  • Retrospective analysis of 101 GIST patients with enhanced CT scans.
  • Quantitative measurement of tumor shape using angles (BiA, SmA) and their ratios.
  • Statistical analysis including chi-square, t-tests, ROC analysis, and logistic regression.

Main Results:

  • The BiA/SmA ratio was an independent predictor of GIST risk level (p=0.019).
  • Tumor shape (BiA) effectively distinguished intermediate-risk from high-risk GISTs, unlike LD.
  • Quantitative shape analysis and Ki-67 were independent predictors of mitotic value (accuracy 87.8%).

Conclusions:

  • Quantifying GIST tumor shape provides superior predictive efficacy for risk level and mitotic value compared to LD.
  • Shape parameters, particularly the BiA/SmA ratio, are valuable for GIST risk stratification.
  • This quantitative shape analysis method enhances prognostic assessment for GIST patients.