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Using AI to Predict if Stomach or Ovarian Cancer Will Spread to the Abdomen Before Surgery

AI-Driven prediction of Occult Peritoneal Metastases using Pre-operative Clinical and CT data in Gastrointestinal and Gynaecological cancers. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/10/096027
Enrollment
765
Registered
2025-10-14
Start date
Unknown
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Health Condition 1: C162- Malignant neoplasm of body of stomach Health Condition 2: C161- Malignant neoplasm of fundus of stomach Health Condition 3: C562- Malignant neoplasm of left ovary Health Condition 4: C163- Malignant neoplasm of pyloric antrum Health Condition 5: C164- Malignant neoplasm of pylorus Health Condition 6: C561- Malignant neoplasm of right ovary

Interventions

Intervention1: Nil: Nil

Sponsors

ICMRDHR
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1) Locally advanced adenocarcinoma stomach patients who have undergone staging laparoscopy (SL) or laparotomy and have been found to have occult peritoneal metastases. 2) Locally advanced serous ovarian carcinoma patients who have undergone laparotomy and are found to have occult peritoneal metastases. 3) All the above patients have had a pre-operative CT scan done in the hospital within 4 weeks prior to the surgery

Exclusion criteria

Exclusion criteria: 1) Patients undergoing surgery for gastric malignancy other than adenocarcinoma, such as neuroendocrine tumors, gastrointestinal stromal tumors. 2) Patients undergoing surgery for ovarian malignancy other than serous ovarian carcinoma, such as benign pathology, early serous carcinoma, mucinous carcinoma, or clear cell carcinoma. 3) Patients who do not have pre-operative CT imaging available for analysis, or the CT is not of diagnostic quality. 4) Patients whose CT was done more than 1 month prior to the surgery. 4) Patients whose intraoperative notes do not contain any details about peritoneal findings.

Design outcomes

Primary

MeasureTime frame
Prediction of occult peritoneal metastases from gastric and ovarian cancer using Artificial intelligence/deep learning based model on CT scan.Timepoint: 4 years—

Secondary

MeasureTime frame
Prediction of occult peritoneal metastases from gastric and ovarian cancer using combined clinical and deep learning CT based model.Timepoint: 4.5 years—

Countries

India

Contacts

Public ContactDr Preethi S Shetty

Kasturba Medical College, Manipal

preethi.sshetty@manipal.edu9567060979

Outcome results

None listed

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