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An Integration of a Computed Tomography/Positron Emission Tomography/Whole Slide Image (CT/PET/WSI) Based Deep Learning Signature for Predicting Complete Pathological Response to Neoadjuvant Chemoimmunotherapy in Non-small Cell Lung Cancer: A Multicenter Study

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Record identity and dates

Source
ClinicalTrials.gov
Source record ID
NCT05925751
Title field or adapter rule
protocolSection.identificationModule.officialTitle
Ingested At
2026-04-28T10:39:05.818117+00:00
Published At
2023-06-29T00:00:00+00:00
Record Updated At
2023-06-29
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
["Non-small Cell Lung Cancer", "Neoadjuvant Chemoimmunotherapy", "Complete Pathological Response"]
protocolSection.statusModule.lastUpdatePostDateStruct.date
"2023-06-29"
protocolSection.identificationModule.nctId
"NCT05925751"
protocolSection.identificationModule.officialTitle
"An Integration of a Computed Tomography/Positron Emission Tomography/Whole Slide Image (CT/PET/WSI) Based Deep Learning Signature for Predicting Complete Pathological Response to Neoadjuvant Chemoimmunotherapy in Non-small Cell Lung Cancer: A Multicenter Study"
protocolSection.statusModule.overallStatus
"UNKNOWN"
protocolSection.designModule.phases
[]
protocolSection.statusModule.resultsFirstPostDateStruct.date
""

Study condition terms

  • Non-small Cell Lung Cancer (protocolSection.conditionsModule.conditions)
  • Neoadjuvant Chemoimmunotherapy (protocolSection.conditionsModule.conditions)
  • Complete Pathological Response (protocolSection.conditionsModule.conditions)

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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