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

NCT ID: NCT03885765

Last Updated: 2025-06-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

160 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-09-21

Study Completion Date

2025-04-18

Brief Summary

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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.

Detailed Description

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Secondarily, the predictions made using traditional scintigraphic data will be compared with those from the new algorithm in a subset of high-risk patients, and cumulative contrast media and irradiation doses associated with imaging will be presented. How other measures of pulmonary function (e.g. transfer factor of the lung for carbon monoxide (TLCO)) and the presence/absence of operative complications might be predicted will also be investigated. Additionally, the potential links between (i) pre-surgical imaging data, (ii) post-surgical changes in respiratory function, and (iii) changes in health related quality of life will also be explored.

Conditions

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Non-small Cell Lung Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Test group

The first 60 patients recruited.

Predictive data

Intervention Type DIAGNOSTIC_TEST

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.

Lung resection

Intervention Type PROCEDURE

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.

Validation group

The last 100 patients recruited.

Predictive data

Intervention Type DIAGNOSTIC_TEST

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.

Lung resection

Intervention Type PROCEDURE

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.

Interventions

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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.

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

* 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)

Exclusion Criteria

* Patient in an exclusion period determined by another protocol
* 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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Montpellier

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Sébastien Bommart, MD

Role: STUDY_DIRECTOR

University Hospitals of Montpellier, France

Locations

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Chu Montpellier

Montpellier, , France

Site Status

Countries

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France

References

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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.

Reference Type BACKGROUND
PMID: 34423004 (View on PubMed)

Other Identifiers

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RECHMPL17_0370

Identifier Type: -

Identifier Source: org_study_id

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