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Commentary Open Access
Volume 2 | Issue 1 |

Predicting GIST mitotic index before surgery: Where conventional CT fits in oncology precision?

  • 1The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030000, China
  • 2The Second Affiliated Hospital of Dalian Medical University, Dalian 116027, China
+ Affiliations - Affiliations

Corresponding Author

Yonghong Dong, youthdong007@163.com

Received Date: July 13, 2026

Accepted Date: August 03, 2026

Abstract

Risk stratification for gastrointestinal stromal tumor (GIST) depends on postoperative mitotic index (MI), a histologic marker unavailable before surgery to guide neoadjuvant therapy and operative strategy. In 2020, Ren et al. constructed a routine CT nomogram to preoperatively identify localized primary GIST featured with high mitotic activity >5 mitoses per 50 high-power fields (>5/50 HPF), showing strong discriminative power in single-center training and internal validation cohorts. This commentary frames this imaging model within precision oncology paradigms, elaborating its clinical value while unpacking the key flaws of retrospective single-center prediction research. We further analyze the mismatches between macroscopic CT phenotypes and KIT/PDGFRA molecular profiles, specify strict clinical boundaries for the nomogram, and propose necessary translational validation workups. Although CT-based risk scores effectively streamline sarcoma MDT referrals, biopsy scheduling and intraoperative rupture prevention, they cannot substitute for the formal histopathology or mutational testing. Ultimately, visual CT nomograms only serve as auxiliary triage tools instead of main decision evidence in comprehensive GIST clinical management.

Keywords

Gastrointestinal stromal tumor, Mitotic index, Computed tomography, Nomogram, Preoperative risk stratification, Precision oncology, Sarcoma multidisciplinary team

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