- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07790614
Photon-counting CT Scan vs Standard HRCT Scan in the Identification of Idiopathic Pulmonary Fibrosis (CT-IPF ANTHEM)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The advent of a new generation of CT systems based on photon-counting detector technology is raising great interest in the medical community, anticipating a major improvement in numerous clinical applications including chest disorders. These expectations are drawn from the technological advantages inherent to these new CT systems, including a higher contrast-to-noise ratio, higher spatial resolution, and lower radiation dose together with the potential of multienergy imaging.
Non-contrast enhanced CT will be acquired in spectral ultra-high-resolution mode on a clinical dual-source photon-counting detector CT (PCDCT) (NAEOTOM Alpha, Siemens Healthineers AG, Forchheim, Germany). All scans will be acquired with automated exposure control.
Recent evidence showed that images obtained with PCDCT allowed a more precise depiction of CT features of ILDs with similar radiation dose. Subjective visualization of specific IPF features, such as reticulation and traction bronchiectasis, using PCDCT has been rated superior to conventional HRCT. Thus, a more precise delineation of fine fibrotic abnormalities could modify the categorization of ILD patterns and improve the diagnostic confidence of IPF and not-IPF diagnosis, reducing the prevalence of unclassifiable ILD.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Francesco Amati, MD
- Phone Number: +393282592750
- Email: franesco.amati@hunimed.eu
Study Contact Backup
- Name: Lisa Usuelli, MD
- Phone Number: +393400095239
- Email: lisa.usuelli@humanitas.it
Study Locations
-
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Italy
-
Rozzano, Italy, Italy, 20089
- Recruiting
- Humanitas Research Hospital
-
Contact:
- Lisa Usuelli, MD
- Phone Number: +393400095239
- Email: lisa.usuelli@humanitas.it
-
Contact:
- Francesco Amati, MD
- Phone Number: +393282592750
- Email: francesco.amati@hunimed.eu
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Adults patients with a new diagnosis of ILD referred to the outpatient clinic of ILD of Humanitas Research Hospital, Rozzano - Milano) and with the need of a MDD discussion to reach a diagnosis will be enrolled.
MDD will be leaded by two pulmonologists with 5 years of experience in ILDs. Each MDD session will include at least one additional pulmonologist, two thoracic radiologists, one thoracic surgeon, one thoracic pathologist, one rheumatologist, and at least two fellows in respiratory medicine. MDD meetings will be held every week and lasted approximately 60 minutes.
Patients will be discussed using a standard case report form. Two diagnosis will be collected: the first diagnosis will be collected using the HRCT scan imaging. The second diagnosis will be collected using the PCDCT scan imaging.
Description
Inclusion Criteria:
- ≥ 18 years of age
- Any gender
- Any race
- Signed informed consent
- ILD diagnosis with the need for a multidisciplinary discussion
Exclusion Criteria:
- Patients with acute exacerbation of ILD
- Interstitial abnormalities that could be explained by causes different than ILD (e.g.: heart failure; viral)
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
ILD patients undergoing radiological evaluation
Eligible partecipants will be adults (≥ 18 years of age) with a new diagnosis of ILD referred to the outpatient clinic of ILD of Humanitas Research Hospital, Rozzano - Milano) and with the need of a MDD discussion to reach a diagnosis.
|
Non-contrast enhanced CT will be acquired in spectral ultra-high-resolution mode on a clinical dual-source photon-counting detector CT (PCDCT) (NAEOTOM Alpha, Siemens Healthineers AG, Forchheim, Germany).
All scans will be acquired with automated exposure control.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Reduction of unclassifiable ILD diagnosis after MDD comparing PCDCT vs standard Chest HRCT scan using McNemar test
Time Frame: 2 years
|
2 years
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Increase in IPF diagnosis after MDD comparing PCDCT vs standard Chest HRCT scan using McNemar test
Time Frame: 2 years
|
2 years
|
|
Interobserver agreement among radiologists using Cohen's kappa
Time Frame: 2 years
|
2 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Francesco Amati, MD, Humanitas Research Hospital IRCCS, Rozzano-Milan
Publications and helpful links
General Publications
- Lynch DA, Sverzellati N, Travis WD, Brown KK, Colby TV, Galvin JR, Goldin JG, Hansell DM, Inoue Y, Johkoh T, Nicholson AG, Knight SL, Raoof S, Richeldi L, Ryerson CJ, Ryu JH, Wells AU. Diagnostic criteria for idiopathic pulmonary fibrosis: a Fleischner Society White Paper. Lancet Respir Med. 2018 Feb;6(2):138-153. doi: 10.1016/S2213-2600(17)30433-2. Epub 2017 Nov 15.
- Raghu G, Remy-Jardin M, Richeldi L, Thomson CC, Inoue Y, Johkoh T, Kreuter M, Lynch DA, Maher TM, Martinez FJ, Molina-Molina M, Myers JL, Nicholson AG, Ryerson CJ, Strek ME, Troy LK, Wijsenbeek M, Mammen MJ, Hossain T, Bissell BD, Herman DD, Hon SM, Kheir F, Khor YH, Macrea M, Antoniou KM, Bouros D, Buendia-Roldan I, Caro F, Crestani B, Ho L, Morisset J, Olson AL, Podolanczuk A, Poletti V, Selman M, Ewing T, Jones S, Knight SL, Ghazipura M, Wilson KC. Idiopathic Pulmonary Fibrosis (an Update) and Progressive Pulmonary Fibrosis in Adults: An Official ATS/ERS/JRS/ALAT Clinical Practice Guideline. Am J Respir Crit Care Med. 2022 May 1;205(9):e18-e47. doi: 10.1164/rccm.202202-0399ST.
- Ryerson CJ, Urbania TH, Richeldi L, Mooney JJ, Lee JS, Jones KD, Elicker BM, Koth LL, King TE Jr, Wolters PJ, Collard HR. Prevalence and prognosis of unclassifiable interstitial lung disease. Eur Respir J. 2013 Sep;42(3):750-7. doi: 10.1183/09031936.00131912. Epub 2012 Dec 6.
- Rajendran K, Koo CW. Photon-counting detector CT: improving interstitial lung disease classification using ultra-high resolution at a fraction of the radiation dose? Eur Radiol. 2023 Aug;33(8):5526-5527. doi: 10.1007/s00330-023-09617-w. Epub 2023 Apr 18. No abstract available.
- Prayer F, Kienast P, Strassl A, Moser PT, Bernitzky D, Milacek C, Gyongyosi M, Kifjak D, Rohrich S, Beer L, Watzenbock ML, Milos RI, Wassipaul C, Gompelmann D, Herold CJ, Prosch H, Heidinger BH. Detection of Post-COVID-19 Lung Abnormalities: Photon-counting CT versus Same-Day Energy-integrating Detector CT. Radiology. 2023 Apr;307(1):e222087. doi: 10.1148/radiol.222087. Epub 2022 Nov 29.
- Hambly N, Farooqi MM, Dvorkin-Gheva A, Donohoe K, Garlick K, Scallan C, Chong SG, MacIsaac S, Assayag D, Johannson KA, Fell CD, Marcoux V, Manganas H, Morisset J, Comes A, Fisher JH, Shapera S, Gershon AS, To T, Wong AW, Sadatsafavi M, Wilcox PG, Halayko AJ, Khalil N, Cox G, Richeldi L, Ryerson CJ, Kolb M. Prevalence and characteristics of progressive fibrosing interstitial lung disease in a prospective registry. Eur Respir J. 2022 Oct 6;60(4):2102571. doi: 10.1183/13993003.02571-2021. Print 2022 Oct.
- Guler SA, Ryerson CJ. Unclassifiable interstitial lung disease: from phenotyping to possible treatments. Curr Opin Pulm Med. 2018 Sep;24(5):461-468. doi: 10.1097/MCP.0000000000000509.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 599/24
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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