Advanced Mutidimensional and Ultra High Resolution Computed Tomography to Inspect Cardiopulmonary Involvement in Progressive Fibrosing Interstitial Lung Diseases

NCT ID: NCT06537934

Last Updated: 2025-12-24

Basic Information

• Recruitment Status: RECRUITING
• Total Enrollment: 123 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-09-01
• Study Completion Date: 2026-09-01

Brief Summary

Interstitial lung diseases (ILDs) are common chronic disease characterized by high mortality and morbidity, also linked to cardiovascular implication. Cardiovascular complications, occur early in idiopathic pulmonary fibrosis (IPF) and other ILDs without any symptoms. Symptoms are often misinterpreted and diagnosis delayed to irreversible stages of cardiac dysfunction .Mechanism of cardiac damage, the main cause of mortality, are heterogeneous raging from ischemic heart disease, acceleration of atherosclerosis, to right ventricle dysfunction secondary, to pulmonary hypertension. So an early recognition and accurate staging are fundamental to avoid disease progression and improve outcomes. Currently, the non-invasive method of reference for ILD diagnosis and monitoring is high resolution Computed Tomography (HRCT) which provide information about lung and airway remodeling, disease severity and pattern. Its application is limited because of the high radiation dose and lack of quantitative early prognosticators; additionally, it does not provide information on cardiovascular disease and cardiac damage. Therefore, cardiologic evaluation is mostly performed in late stages when symptoms are evident and the disease is irreversible. The identification of a single non-invasive imaging modality able to simultaneously characterize in an accurate and quantitative way the entity of lung and cardiac damage in patients affected by ILD would be useful to improve risk stratification and to guide treatment. In order to improve patients diagnosis and clinical management since 2016 in our institution, based on a multidisciplinary evaluation including a team made up cardiologist, rheumatologist and radiologist, we applied a single CT study with contrast agent largely validated in several other clinical setting aimed to combine the assessment of chest and cardiac involvement also in this group of patients. However, this approach has limited application in clinical practice by the use of old generation CT scanners, high radiation exposure, limited contrast resolution and by the lack of dedicated postprocessing for the improvement of diagnosis and of the prognostic implication. Novel technology as Dual Energy Computed Tomography (DECT) and Photon Counting CT (PCD-CT) opened to the possibility to improve ILD characterization using spectral information and ultra-high resolution potentially able to identify precursors of lung and cardiac fibrosis, with better image quality at a lower radiation dose. In recent studies was shown the possibility to develop a CT protocol able to simultaneously assess coronary artery, myocardial scar and interstitial fibrosis and to improve risk stratification in COVID-19 pneumonia deriving quantitative biomarker of systemic comorbidities and cardiovascular risk from chest CT, also using artificial intelligence. Based on these evidence aim of the study is to develop a CT protocol using advanced technology (DECT and PCD-CT) able to provide an accurate risk stratification of ILD patients based on a comprehensive evaluation of lung and cardiac damage to quantitatively define the interplay between lung and cardiac remodeling and to identify novel imaging biomarkers useful for prognostication.

Conditions

Interstitial Lung Diseases

Keywords

Cardiac fibrosis; Lung interstitial fibrosis

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Adult subjects (>18 y.o.) with previously known ILD or high likelihood for having ILD including CTD diagnosis since at least 5 years before the project starts in order to increase the prevalence of ILD [2] who signed an Informed Consent authorizing data collection.

Exclusion Criteria

• Subjects with active infectious disease;
• known CAD;
• history of previous percutaneous or surgical revascularization;
• known cardiomyopathy;
• previous heart failure;
• presence of cardiac devices (prosthetic valve, ICD, PM, ICD-CRT, LVAD)
• previous or active neoplasia;
• pregnancy and breastfeeding;
• allergy to iodine contrast agent;
• claustrophobia;
• glomerular filtration rate < 30mL/min
• impossibility to lay down or breath old
• absence of informed consent signed

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

IRCCS San Raffaele

OTHER

Sponsor Role: lead

Responsible Party

Anna Palmisano

Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

IRCCS San Raffaele

Milan, , Italy

Site Status: RECRUITING

Countries

Italy

Central Contacts

Anna Palmisano

Role: CONTACT

Phone: 0226436106

Email: palmisano.anna@hsr.it

Antonio Esposito Esposito

Role: CONTACT

Phone: 0226436102

Email: esposito.antonio@hsr.it

Facility Contacts

Anna Palmisano Professor Anna Palmisano

Role: primary

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Other Identifiers

PNRR-MCNT2- 2023-12377844

Identifier Type: -

Identifier Source: org_study_id