CLINICAL_TRIALS ClinicalTrials.gov record update

Prospective Review of CT Imaging Data Comparing Quality of Low-Radiation-Dose Images Post-Processed With Iterative Reconstruction Software vs. Machine Learning (AlgoMedica PixelShine) Software

This page presents selected fields from the linked source record. It does not add a medical interpretation.

Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT03033615
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-28T10:36:31.447901+00:00
Published At: 2017-06-28T00:00:00+00:00
Record Updated At: 2017-06-28
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: ["Cancer, Lung", "Cancer Liver", "X-rays; Effects"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2017-06-28"
protocolSection.identificationModule.nctId: "NCT03033615"
protocolSection.identificationModule.officialTitle: "Prospective Review of CT Imaging Data Comparing Quality of Low-Radiation-Dose Images Post-Processed With Iterative Reconstruction Software vs. Machine Learning (AlgoMedica PixelShine) Software"
protocolSection.statusModule.overallStatus: "UNKNOWN"
protocolSection.designModule.phases: ["NA"]
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.

This index keeps the source fields it imported; it may not contain the complete original record. Verify wording and context in the linked source.