LTP2 Results Analysis-Grogan-VUMC-2024

Abbreviated Name
LTP2 Results Analysis-Grogan-VUMC-2024
Lead Investigator
Grogan, Eric — Vanderbilt -Ingram Cancer Center
Coordinating Investigator
No coordinating investigator
Involved Investigators

Abstract

Lung Cancer Prediction based on a Convolutional Neural Network (LCP-CNN) model (VU) Enzyme immunoassay for Histoplasma IgG and IgM in the context of suspicious lung nodules Imaging Analysis

Aims

Biomarker 1) Bronchial proteomic biomarker discriminating benign from malignant indeterminate pulmonary nodules. Biomarker 2) Serum based quantitation of CYFRA 21.1, CEA and HE4 by Compensated Backscatter Interferometry (CBSI). Lung Cancer Prediction based on a Convolutional Neural Network (LCP-CNN) model (VU) Enzyme immunoassay for Histoplasma IgG and IgM in the context of suspicious lung nodules

Analytic Method

See LTP2 protocol

Outcome

Lung Cancer Prediction based on a Convolutional Neural Network (LCP-CNN) model (VU) Enzyme immunoassay for Histoplasma IgG and IgM in the context of suspicious lung nodules Imaging Analysis

Publications

Biomarkers

  • No biomarkers available at this time for this protocol.

Data Collections

  • No data collections available at this time for this protocol.
Start Date
May 2 2023
Estimated Finish Date
Nov 2 2023
Protocol ID
550
Protocol Type
Reference Set
Fields of Research
  • Genomics
  • Other
  • Proteomics
Collaborative Group
Lung and Upper Aerodigestive Cancers Research Group
Cancer Types
  • Malignant neoplasm of bronchus and lung
Phased Status
2

Associated Forms