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Complication and Lung Function Impairment Prediction Using Perfusion and CT Air Trapping

NCT03885765 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 160

Last updated 2025-06-22

No results posted yet for this study

Summary

The primary objective of the CLIPPCAIR study is to construct and validate a new algorithm for predicting post-operative forced expiratory volume in 1 second (FEV1) values for lung resection candidates; this new model will be based on data derived from a thoracic CT scan with injection of contrast media.

Conditions

Interventions

DIAGNOSTIC_TEST

Predictive data

The novel predictive data in this study includes 5 predefined variables derived from thoracic CT scans: (i) Expiratory to inspiratory ratio of mean lung density (MLDe/i), total; (ii) MLDe/i of the section to be excised / MLDe/i total; (iii) Percentage of emphysema according to voxel thresholding at -950 HU (PVOX-950), total; (iv) PVOX-950 for the section to be excised; (v) Iodine concentration \[I\] of the section to be excised / \[I\] total.

PROCEDURE

Lung resection

Surgical resection will be characterised by type (pneumonectomy, bi-lobectomy, lobectomy, or lobectomy with anastomosis resection), whether or not lymph node dissection was performed, and whether or not the resection was atypical.

Sponsors & Collaborators

  • University Hospital, Montpellier

    lead OTHER

Principal Investigators

  • Sébastien Bommart, MD · University Hospitals of Montpellier, France

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-09-21
Primary Completion
2025-04-18
Completion
2025-04-18

Countries

  • France

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03885765 on ClinicalTrials.gov