CLINICAL_TRIALS ClinicalTrials.gov record update

Utility of Quantitative Imaging Parameters from Deep Learning-based CT Segmentation in Assessing Hepatic Steatosis and Fibrosis in Chronic Hepatitis B: a Prospective Study Using MRI As the Reference Standard

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT06616103
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-25T22:26:09.834163+00:00
Published At: 2024-09-27T00:00:00+00:00
Record Updated At: 2024-09-27
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: ["Chronic Hepatitis B", "Steatosis of Liver", "Fibrosis and Cirrhosis of Liver"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2024-09-27"
protocolSection.identificationModule.nctId: "NCT06616103"
protocolSection.identificationModule.officialTitle: "Utility of Quantitative Imaging Parameters from Deep Learning-based CT Segmentation in Assessing Hepatic Steatosis and Fibrosis in Chronic Hepatitis B: a Prospective Study Using MRI As the Reference Standard"
protocolSection.statusModule.overallStatus: "NOT_YET_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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