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CLINICAL_TRIALS ClinicalTrials.gov record update

Gestional Trophoblastic Neoplasia Ultrasound Assessment: Titanium Study

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

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Record identity and dates

Source
ClinicalTrials.gov
Source record ID
NCT06284980
Title field or adapter rule
protocolSection.identificationModule.officialTitle
Ingested At
2026-04-28T10:39:56.031946+00:00
Published At
2024-02-29T00:00:00+00:00
Record Updated At
2024-02-29
Timestamp Basis
source retrieval time was not retained by the feed adapter
Date limitation
source retrieval time was not retained by the feed adapter

Fields recorded by this source

protocolSection.conditionsModule.conditions
["Describe Typical Gray Scale/Color Doppler Ultrasound Features of Gestational Trophoblastic Neoplasia at the US Examination", "To Assess if There Are Differences at the Baseline US Scan Between Low-risk and High-risk Patients", "To Identify Ultrasound Predictors of Resistance to First-line Single Drug Chemotherapy in Low-risk GTN Patients", "To Investigate if Machine Learning (ML) Algorithms (Radiomics, Deep Neural Networks (DNN), and Other Machine Learning Algorithms"]
protocolSection.statusModule.lastUpdatePostDateStruct.date
"2024-02-29"
protocolSection.identificationModule.nctId
"NCT06284980"
protocolSection.identificationModule.officialTitle
"Gestional Trophoblastic Neoplasia Ultrasound Assessment: Titanium Study"
protocolSection.statusModule.overallStatus
"UNKNOWN"
protocolSection.designModule.phases
[]
protocolSection.statusModule.resultsFirstPostDateStruct.date
""

Study condition terms

  • Describe Typical Gray Scale/Color Doppler Ultrasound Features of Gestational Trophoblastic Neoplasia at the US Examination (protocolSection.conditionsModule.conditions)
  • To Assess if There Are Differences at the Baseline US Scan Between Low-risk and High-risk Patients (protocolSection.conditionsModule.conditions)
  • To Identify Ultrasound Predictors of Resistance to First-line Single Drug Chemotherapy in Low-risk GTN Patients (protocolSection.conditionsModule.conditions)
  • To Investigate if Machine Learning (ML) Algorithms (Radiomics, Deep Neural Networks (DNN), and Other Machine Learning Algorithms (protocolSection.conditionsModule.conditions)

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.