Exploring the added value of lung densitometric and texture analysis of chest CT scans in the characterization of pre-capillary Pulmonary Hypertension (PH) in Systemic Sclerosis

Concept

The proposed project aims at better differentiating clusters of pre-capillary pulmonary hypertension (PH)  in systemic sclerosis (SSc) patients, using radiomics automated computer technology for the quantification of the extent and the severity of lung fibrosis. The aim is to create clusters of SSc-PH patients, in the context of possible coexisting lung fibrosis, to really define prognosis and treatment impact.

Facts and Figures

Project Lead
C Bruni
University of Florence
cosimobruni85@gmail.com
FOREUM research grant: €50,000
2020 - 2021

Meet the Team

C Bruni
University of Florence
Prof. Dr. O Distler
University of Zurich
M Matucci Cerinic
University of Florence

Objectives

  • To assess whether chest HRCT parameters using novel high throughput image analysis tools have predictive potential to distinguish between Group 1 and 3 PH.
  • To define data-based clinical groups based on functional and radiological parameters including Lung Densitometry and Lung Texture Analysis to identify different groups of pre-capillary PH and compare discovered groups with the old classification in terms of survival and treatment options.

Patient Voice

The study should provide a novel, automated classification workflow that will allow to classify patients into groups. Such classification, if shown significant by survival analysis, will allow for early detection of patients as high risks from those of lower risk. But at this stage, given the observational nature of the study, no direct patient involvement is requested, except for patient consent to data analysis if locally required. If the project will be successful, patients will be involved in multi-centric studies to validate the results and in future Randomised Clinical Trials (RCTs), as both active participant and as part of scientific advisory boards.

Goals/Milestones

  • Patients identification (suitable patients with available CT images)
  • Evaluation of feasibility of available chest CT scans with post-processing image software programs (LD/LTA)
  • Post-processing CT scan analysis
  • Clinical data collection
  • Data analyses and results interpretation
  • Manuscript preparation, abstract submission, presentations
  • Starting June 2020, publications expected at end of 2021