ClinicalTrials.gg
Active, not recruitingNCT06886958SCORPIONUpdated Mar 20, 2025

Spectral CT Protocol Optimization for Atherosclerotic Plaque CharacterizatION

An observational study in Atherosclerotic Disease, sponsored by IRCCS SYNLAB SDN. Active, not recruiting at 1 site in Italy. Open to participants aged 60 Years and older. Per ClinicalTrials.gov, last updated 2025-03-20.

Sponsored by IRCCS SYNLAB SDN · Observational

From the registry’s dates

  • Primary completion was expected by Mar 2025, 1 year 7 months ago, but the record still lists the study as active, not recruiting.
Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
100
Ages
60 Years and older
Sex
All
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Study summary

The SCORPION study (Spectral CT Protocol Optimization for Atherosclerotic Plaque Characterization) is a retrospective and prospective observational research project aimed at improving the diagnostic accuracy of dual-energy CT (DECT) and photon-counting CT (PCCT) in the characterization of atherosclerotic plaques in the coronary and carotid arteries. Given that cardiovascular diseases remain a leading cause of mortality despite advances in prevention and treatment, optimizing non-invasive imaging methods is crucial. CT Angiography (CTA) has become the gold standard for diagnosing coronary artery disease and carotid stenosis, but existing techniques require enhancement to improve plaque characterization, which is vital for risk stratification and patient management. While DECT has demonstrated potential in differentiating tissue types, its clinical adoption has been slow due to a lack of broad validation. This study seeks to establish a standardized imaging protocol that will provide more precise and reproducible plaque characterization.

The primary objective of the study is to develop a standardized method for characterizing atherosclerotic plaques using DECT based on retrospective datasets from Synlab. The first secondary objective is to validate this workflow with photon-counting CT data from an independent cohort at Fondazione Monasterio/CNR, ensuring the reliability of the technique across different imaging modalities. The second secondary objective involves defining an optimized DECT protocol using the energy spectrum of PCCT, ultimately refining imaging parameters for improved plaque assessment.

The study is structured into two phases. In the retrospective phase, data from fifty patients with critical stenosis (greater than 75% narrowing of the artery) who previously underwent DECT scans are analyzed. This step focuses on optimizing imaging parameters, segmentation techniques, and post-processing workflows. In the prospective phase, another cohort of fifty patients undergoes scanning with photon-counting CT to validate the workflow developed in the first phase. The results will inform the refinement of an optimized DECT protocol, translating the benefits of photon-counting technology into more widely available DECT scanners.

Patients included in the study must be at least sixty years old and have undergone DECT for cardiovascular imaging of the coronary or carotid arteries. The imaging process involves a third-generation dual-energy CT scanner (Somatom Force, Siemens) with high-resolution imaging settings, dual-energy tube voltages of 150 and 90 kV, ECG-gated acquisition, and the use of iodine contrast. The collected data is processed using various reconstruction techniques to extract quantitative imaging biomarkers, including total plaque volume, non-calcified and calcified plaque volumes, remodeling index, and degree of luminal stenosis. The study employs PyRadiomics, an open-source platform for radiomic feature extraction, to standardize data analysis and improve reproducibility.

The expected outcome of this research is an improved molecular characterization of atherosclerosis, leading to more accurate risk stratification and predictive models for cardiovascular events. By refining imaging techniques, the study aims to enhance diagnostic precision and minimize unnecessary hospitalizations, ultimately improving patient outcomes. Furthermore, establishing a standardized DECT protocol will allow for broader clinical adoption, making advanced plaque characterization more accessible in routine cardiovascular assessments.

02

Conditions studied

  • Atherosclerotic Disease

Keywords

  • Atherosclerotic Plaque
  • Dual-Energy CT (DECT)
  • Photon-Counting CT (PCCT)
  • Radiomics
  • Cardiovascular Risk Stratification
03

In context

Plaque, Atherosclerotic

105 studies on the registry are indexed under Plaque, Atherosclerotic; 27 are open to participants now.

This study's planned enrollment of 100 is below the median of 146 across 50 observational studies indexed under Plaque, Atherosclerotic.

Browse Plaque, Atherosclerotic studies →

Lead sponsor

IRCCS SYNLAB SDN is the lead sponsor of 13 studies on the registry; 7 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
60 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Subjects over 60 years of age performing a cardiovascular imaging examination

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patients who have undergone DECT for cardiovascular imaging (coronary and/or carotid)
  • Patients with critical stenosis (>75% diameter, coronary or carotid artery) aged > 60aa

Exclusion criteria

Exclusion Criteria:

  • Patients negative for critical stenosis (\<75% diameter) and/or imaging artefacts (e.g. due to movement, swallowing, or arrhythmias).
  • Patients under 60 years of age
  • Patients allergic to iodinated contrast medium (prospective phase)
  • Patients with chronic renal insufficiency (prospective phase)
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Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
100 participants (estimated)
Patient registry
No

Groups and cohorts

  • Cardiovascular Imaging patiets

    Patients who have undergone DECT for cardiovascular imaging (coronary and/or carotid) or with critical stenosis

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What researchers measure

Primary outcomes

  1. Imaging analyses

    Extraction of numerical data from imaging for the generation of a reproducible and standardized method for characterising the various components of atherosclerotic plaques

    Time frame: 1 - 24 months

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Study locations

1 site
  • Laura Pierri
    Naples, 80146, Italy
08

References and documents

Publications

  • van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, Beets-Tan RGH, Fillion-Robin JC, Pieper S, Aerts HJWL. Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Res. 2017 Nov 1;77(21):e104-e107. doi: 10.1158/0008-5472.CAN-17-0339. PubMed 29092951 ↗
  • Forghani R, De Man B, Gupta R. Dual-Energy Computed Tomography: Physical Principles, Approaches to Scanning, Usage, and Implementation: Part 1. Neuroimaging Clin N Am. 2017 Aug;27(3):371-384. doi: 10.1016/j.nic.2017.03.002. PubMed 28711199 ↗
  • Yeboah J, McClelland RL, Polonsky TS, Burke GL, Sibley CT, O'Leary D, Carr JJ, Goff DC, Greenland P, Herrington DM. Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals. JAMA. 2012 Aug 22;308(8):788-95. doi: 10.1001/jama.2012.9624. PubMed 22910756 ↗
  • Erbel R, Mohlenkamp S, Moebus S, Schmermund A, Lehmann N, Stang A, Dragano N, Gronemeyer D, Seibel R, Kalsch H, Brocker-Preuss M, Mann K, Siegrist J, Jockel KH; Heinz Nixdorf Recall Study Investigative Group. Coronary risk stratification, discrimination, and reclassification improvement based on quantification of subclinical coronary atherosclerosis: the Heinz Nixdorf Recall study. J Am Coll Cardiol. 2010 Oct 19;56(17):1397-406. doi: 10.1016/j.jacc.2010.06.030. PubMed 20946997 ↗
  • Yamak D, Panse P, Pavlicek W, Boltz T, Akay M. Non-calcified coronary atherosclerotic plaque characterization by dual energy computed tomography. IEEE J Biomed Health Inform. 2014 May;18(3):939-45. doi: 10.1109/JBHI.2013.2295534. PubMed 24808227 ↗
  • Mandal SR, Bharati A, Haghighi RR, Arava S, Ray R, Jagia P, Sharma S, Chatterjee S, Tabin M, Sharma M, Sharma S, Kumar P. Non-invasive characterization of coronary artery atherosclerotic plaque using dual energy CT: Explanation in ex-vivo samples. Phys Med. 2018 Jan;45:52-58. doi: 10.1016/j.ejmp.2017.12.006. Epub 2017 Dec 19. PubMed 29472090 ↗
  • Haghighi RR, Chatterjee S, Tabin M, Sharma S, Jagia P, Ray R, Singh RP, Yadav R, Sharma M, Krishna K, Vani VC, Lakshmi R, Mandal SR, Kumar P, Arava S. DECT evaluation of noncalcified coronary artery plaque. Med Phys. 2015 Oct;42(10):5945-54. doi: 10.1118/1.4929935. PubMed 26429269 ↗
  • Obaid DR, Calvert PA, Gopalan D, Parker RA, West NE, Goddard M, Rudd JH, Bennett MR. Dual-energy computed tomography imaging to determine atherosclerotic plaque composition: a prospective study with tissue validation. J Cardiovasc Comput Tomogr. 2014 May-Jun;8(3):230-7. doi: 10.1016/j.jcct.2014.04.007. Epub 2014 May 2. PubMed 24939072 ↗
  • Tanami Y, Ikeda E, Jinzaki M, Satoh K, Nishiwaki Y, Yamada M, Okada Y, Kuribayashi S. Computed tomographic attenuation value of coronary atherosclerotic plaques with different tube voltage: an ex vivo study. J Comput Assist Tomogr. 2010 Jan;34(1):58-63. doi: 10.1097/RCT.0b013e3181b66c41. PubMed 20118723 ↗
  • Barreto M, Schoenhagen P, Nair A, Amatangelo S, Milite M, Obuchowski NA, Lieber ML, Halliburton SS. Potential of dual-energy computed tomography to characterize atherosclerotic plaque: ex vivo assessment of human coronary arteries in comparison to histology. J Cardiovasc Comput Tomogr. 2008 Jul-Aug;2(4):234-42. doi: 10.1016/j.jcct.2008.05.146. Epub 2008 Jun 12. PubMed 19083956 ↗
  • Narula J, Nakano M, Virmani R, Kolodgie FD, Petersen R, Newcomb R, Malik S, Fuster V, Finn AV. Histopathologic characteristics of atherosclerotic coronary disease and implications of the findings for the invasive and noninvasive detection of vulnerable plaques. J Am Coll Cardiol. 2013 Mar 12;61(10):1041-51. doi: 10.1016/j.jacc.2012.10.054. PubMed 23473409 ↗
  • Kalisz K, Halliburton S, Abbara S, Leipsic JA, Albrecht MH, Schoepf UJ, Rajiah P. Update on Cardiovascular Applications of Multienergy CT. Radiographics. 2017 Nov-Dec;37(7):1955-1974. doi: 10.1148/rg.2017170100. PubMed 29131773 ↗
  • Cademartiri F, Seitun S, Clemente A, La Grutta L, Toia P, Runza G, Midiri M, Maffei E. Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography. Cardiovasc Diagn Ther. 2017 Apr;7(2):129-150. doi: 10.21037/cdt.2017.03.22. PubMed 28540209 ↗
  • Johnson TR, Krauss B, Sedlmair M, Grasruck M, Bruder H, Morhard D, Fink C, Weckbach S, Lenhard M, Schmidt B, Flohr T, Reiser MF, Becker CR. Material differentiation by dual energy CT: initial experience. Eur Radiol. 2007 Jun;17(6):1510-7. doi: 10.1007/s00330-006-0517-6. Epub 2006 Dec 7. PubMed 17151859 ↗
  • Puchner SB, Liu T, Mayrhofer T, Truong QA, Lee H, Fleg JL, Nagurney JT, Udelson JE, Hoffmann U, Ferencik M. High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II trial. J Am Coll Cardiol. 2014 Aug 19;64(7):684-92. doi: 10.1016/j.jacc.2014.05.039. PubMed 25125300 ↗
  • Motoyama S, Sarai M, Harigaya H, Anno H, Inoue K, Hara T, Naruse H, Ishii J, Hishida H, Wong ND, Virmani R, Kondo T, Ozaki Y, Narula J. Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol. 2009 Jun 30;54(1):49-57. doi: 10.1016/j.jacc.2009.02.068. PubMed 19555840 ↗
  • Grundy SM, Stone NJ. 2018 American Heart Association/American College of Cardiology/Multisociety Guideline on the Management of Blood Cholesterol-Secondary Prevention. JAMA Cardiol. 2019 Jun 1;4(6):589-591. doi: 10.1001/jamacardio.2019.0911. No abstract available. PubMed 30994869 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Mar 2023 (actual). Primary completion is estimated for Mar 2025, 24 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 14, 2025
First posted
Mar 20, 2025
StartActual
Mar 31, 2023
Primary completionEst.
Mar 31, 2025
CompletionEst.
Apr 30, 2025
Last update
Mar 20, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Mar 20, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06886958
Lead sponsor
IRCCS SYNLAB SDN
Collaborators
Fondazione Monasterio/CNR
Responsible party
Sponsor
First posted
Mar 20, 2025
Start date
Mar 31, 2023
Primary completion
Mar 31, 2025 (estimated)
Completion
Apr 30, 2025 (estimated)
Last update
Mar 20, 2025

Study contacts

Carlo Cavaliere, MD
principal investigator · carlo.cavaliere@synlab.it

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is active, not recruiting, as verified in Mar 2025. You cannot join it, but the record below documents what was studied.

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