Complication and Lung Function Impairment Prediction Using Perfusion and CT Air Trapping
CLIPPCAIR
1 other identifier
observational
160
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2020
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 19, 2019
CompletedFirst Posted
Study publicly available on registry
March 22, 2019
CompletedStudy Start
First participant enrolled
September 21, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 18, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
April 18, 2025
CompletedJune 22, 2025
June 1, 2025
4.6 years
March 19, 2019
June 19, 2025
Conditions
Outcome Measures
Primary Outcomes (2)
Forced expiratory volume in 1 second (FEV1) from spirometry
6 months
Correlation between predicted and real values for post-surgical FEV1
6 months
Secondary Outcomes (26)
Estimated post-operative FEV1 (litres) according to scintigraphy
Baseline (day 0)
Estimated post-operative TLCO according to scintigraphy
Baseline (day 0)
Estimated post-operative FEV1 according segment counting (1)
Baseline (day 0)
Estimated post-operative FEV1 according segment counting (2)
Baseline (day 0)
Forced expiratory volume in 1 second (FEV1) from spirometry
Baseline (day 0)
- +21 more secondary outcomes
Study Arms (2)
Test group
The first 60 patients recruited.
Validation group
The last 100 patients recruited.
Interventions
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.
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.
Eligibility Criteria
The targeted study population corresponds to non-small cell lung cancer patients requiring pulmonary excision and who need to update their computed tomography scan data (CT scan) prior to surgery.
You may qualify if:
- Patient diagnosed with non-small cell lung cancer
- Indication for pulmonary excision surgery
- Patient requiring a more recent pre-surgical computed tomography scan (CT scan)
- The patient has been correctly informed about the study and has signed the consent form
- The patient is affiliated with or a beneficiary of the French single-payer social security programme (national health insurance)
You may not qualify if:
- Participation in another study that may affect the results of the present study (anti-cancer treatment studies are allowed)
- Patient under legal or judicial protection
- Contraindication to surgery or iodine injection
- Pregnant or lactating women
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Chu Montpellier
Montpellier, 34295, France
Related Publications (1)
Suehs CM, Solovei L, Hireche K, Vachier I, Mariano Goulart D, Gamon L, Charriot J, Serre I, Molinari N, Bourdin A, Bommart S. Complication and lung function impairment prediction using perfusion and computed tomography air trapping (CLIPPCAIR): protocol for the development and validation of a novel multivariable model for the prediction of post-resection lung function. Ann Transl Med. 2021 Jul;9(13):1092. doi: 10.21037/atm-21-214.
PMID: 34423004BACKGROUND
Biospecimen
40 resected lung tissues for the routine pathological analysis may be retained for ancillary studies if the investigator : * deems that sample recovery is feasible * judges the distance between the cancerous lesion and the region of interest, sufficiently large/distinct * obtained the patient's consent for the use of his remaining excised tissue specifically for this ancillary study These lung tissues can't be retained if : * unavailability of tissue sample due to routine analysis requirements * patient has atelectasis * patient has pulmonary infection * patient has a pulmonary lesion linked to the surgical intervention
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Sébastien Bommart, MD
University Hospitals of Montpellier, France
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 19, 2019
First Posted
March 22, 2019
Study Start
September 21, 2020
Primary Completion
April 18, 2025
Study Completion
April 18, 2025
Last Updated
June 22, 2025
Record last verified: 2025-06
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- Datasets can be requested after the publication process has been completed.
- Access Criteria
- The conditions under which members of the public will be granted access to datasets are: * The data will be used/examined in a not-for-profit manner; * The data will not be used in an attempt to identify a participant or group of participants; * The user does not work for a private insurance company; * The data will not be used in support of any kind of private insurance policy or health penalties; * The data will be used/examined for the advancement of science/teaching while respecting participant/patient privacy and rights; * The user will state why they wish to access the data. * The appropriate CNIL approval has been obtained by the user.
The general goal is to make the study data available to interested researchers as well as to provide proof of transparency for the study. Data (and an accompanying data dictionary) will be de-identified and potentially further cleaned or aggregated as the investigators deem necessary to protect participant anonymity. Data will be made available to persons who address a reasonable request to the study director and fulfil the requirements stipulated by the French CNIL (Commission Nationale de l'Informatique et des Libertés : https://www.cnil.fr/professionnel).