Using time-series data to predict nodule evolution
Principal Investigator
Name
Joseph Jacob
Degrees
F.R.C.R., M.D.(Res).,
Institution
University College London
Position Title
Wellcome Trust Fellow
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-526
Initial CDAS Request Approval
Jun 18, 2019
Title
Using time-series data to predict nodule evolution
Summary
To explore time-series data to predict the change in benign or indeterminate nodules at baseline or provide a risk assessment/probability of malignant transformation across repeated LDCTs.
Aims
Segment nodules across longitudinal CTs
Predict malignant risk associated with changes in nodule metrics using time series data
Collaborators
Joseph Jacob, University College London
Tahreema Matin, Health Education England
Pavan Alluri, Manas AI
Ashwini Kumar, Manas AI
Rahul Chakkara, Manas AI
Eyjolfur Gudmundsson, University College London
Ashkan Pakzad, University College London
Tony Cheung, University College London
Moucheng Xu, University College London