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Evaluation of Neoadjuvant Therapy Efficacy in Locally Advanced Gastric Cancer Using CT-based Artificial Intelligence Models: A Retrospective, Multicenter Study

Evaluation of Neoadjuvant Therapy Efficacy in Locally Advanced Gastric Cancer Using CT-based Artificial Intelligence Models: A Retrospective, Multicenter Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100543
Enrollment
Unknown
Registered
2025-04-10
Start date
2025-04-18
Completion date
Unknown
Last updated
2025-04-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

gastric cancer

Interventions

Case series:none

Sponsors

Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Histologically or cytologically confirmed gastric adenocarcinoma prior to treatment, with imaging studies (contrast-enhanced CT/contrast-enhanced ultrasonography) confirming resectable locally advanced gastric cancer without distant metastasis (cT3-4, N0/+, M0; staging according to the 8th edition AJCC guidelines); 2. Abdominal contrast-enhanced CT scans performed both before neoadjuvant therapy and after neoadjuvant therapy (prior to surgery); 3. Underwent radical gastrectomy following neoadjuvant therapy (chemotherapy alone or chemotherapy combined with immunotherapy), with postoperative pathological confirmation of tumor response; 4. Complete clinical and pathological follow-up data [including essential postoperative tumor regression grade (TRG) assessment].

Exclusion criteria

Exclusion criteria: 1. Previous history of gastric surgery; 2. Prior to neoadjuvant therapy, the patient had a history of gastric cancer or other tumors with documented antitumor treatment; 3. Multiple gastric cancer (including two or more lesions); 4. The primary lesion could not be detected on enhanced CT images; 5. CT image quality is poor (serious artifact, poor gastric filling).

Design outcomes

Primary

MeasureTime frame
area under the curve,AUC;true positive rate,TPR;true negative rate,TNR;accuracy;negative predictive value,NPV;positive predictive value,PPV;decision curve analysis,DCA;

Secondary

MeasureTime frame
overall survival,OS;progression-free survival, PFS;

Countries

China

Contacts

Public ContactChen Huang

Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine

richard-hc@hotmail.com+86 133 8175 8371

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026