Development and validation of a risk prediction model for piecemeal resection during endoscopic resection of gastric GISTs
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By
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Fengcheng Zang
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Yunfu Feng
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Bin He
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Zhibing Wang
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Chao Ma
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Xiaodan Xu
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Jian Chen
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Luojie Liu
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May 12, 2026
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Clinical Scorecard: Creation and assessment of a predictive model for the likelihood of piecemeal resection in endoscopic procedures for gastric GISTs
At a Glance
| Category | Detail |
|---|
| Condition | |
| Key Mechanisms | Endoscopic resection (ER) techniques including ESD, EFTR, and STER, with emphasis on their roles in managing gGISTs. |
| Target Population | |
| Care Setting | |
Key Highlights
- Endoscopic resection is a minimally invasive approach for gGISTs.
- Piecemeal resection (PR) poses risks of incomplete excision and local recurrence.
- Factors influencing PR include tumor size and contour.
- A multivariate risk prediction model for PR has been developed and validated to enhance individualized treatment planning.
- The model aims to enhance individualized treatment planning and patient outcomes.
Guideline-Based Recommendations
Diagnosis
- Postoperative pathological and immunohistochemical confirmation of gGISTs.
Management
- Utilize endoscopic techniques such as ESD, EFTR, and STER for gGISTs.
- Postoperative management includes supportive measures and surveillance protocols.
Monitoring & Follow-up
- Implement systematic endoscopic evaluations at 6 and 12 months postoperatively.
Risks
- Monitor for complications such as perforation, bleeding, and local recurrence.
Patient & Prescribing Data
Patients undergoing endoscopic resection for gGISTs.
Postoperative management includes supportive measures and surveillance protocols.
Clinical Best Practices
- Ensure experienced endoscopists perform gGISTs ER procedures.
- Adhere to postoperative protocols for monitoring and managing complications.
- Utilize a risk prediction model to guide procedural planning and improve patient outcomes.
References
