CLINICAL_TRIALS ClinicalTrials.gov record update

CT Detected Tumour Infiltration Patterns of the Mesentery in High Grade Ovarian Carcinoma (HGSOC) Patients, Their Role in Treatment Planning and Outcome Prediction and How Machine Learning Can be Applied to Identify Them.

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT06331130
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-25T22:26:44.851480+00:00
Published At: 2025-03-12T00:00:00+00:00
Record Updated At: 2025-03-12
Timestamp Basis: source retrieval time was not retained by the feed adapter
Date limitation: source retrieval time was not retained by the feed adapter

protocolSection.conditionsModule.conditions: ["Ovary Cancer"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2025-03-12"
protocolSection.identificationModule.nctId: "NCT06331130"
protocolSection.identificationModule.officialTitle: "CT Detected Tumour Infiltration Patterns of the Mesentery in High Grade Ovarian Carcinoma (HGSOC) Patients, Their Role in Treatment Planning and Outcome Prediction and How Machine Learning Can be Applied to Identify Them."
protocolSection.statusModule.overallStatus: "RECRUITING"
protocolSection.designModule.phases: []
protocolSection.statusModule.resultsFirstPostDateStruct.date: ""

Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.

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