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Photon Counting Detector CT Image Quality

R

Reto Sutter, MD

Status

Active, not recruiting

Conditions

Tomography, X Ray Computed
Diagnostic Imaging

Treatments

Device: Photon Counting Detector CT

Study type

Interventional

Funder types

Other

Identifiers

Details and patient eligibility

About

This study aims to compare subjective image quality and diagnostic accuracy of a photon counting detector computed tomography (PCD-CT) scanner compared with an energy integrating detector (EID)-CT scanner as the reference standard.

Full description

Computed tomography (CT) imaging plays a key role in diagnostic radiology, and is particularly valuable in assessing a myriad of musculoskeletal conditions (e.g. trauma, degenerative disorders, post-surgical follow-up, inflammatory diseases).

The vast majority of today's CT scanners are equipped with an energy-integrating detector (EID), which converts energy of incoming X-ray photons in a two-step process into electric signals: First, scintillators generate visible light, which in turn is converted to the electric signal by photodiodes.

Recently, photon-counting detector computed tomography (PCD-CT) scanners became commercially available and have been introduced to improve imaging performance through direct transformation of X-ray photons into electron hole pairs upon absorption in a semiconductor layer, generating an electrical signal proportional to the photon energy.

Current literature has shown that PCD-CT can offer higher spatial resolution, increased contrast-to-noise ratio, higher dose-efficiency, and inherent multi-spectral imaging capacity.

Moreover, the results from cadaver studies suggest that PCD-CT can preserve image quality with reduced radiation dose.

However, data on the diagnostic accuracy of PCD-CT compared to EID-CT is currently limited in the field of musculoskeletal radiology.

In addition to conventional CT acquisition, multi-spectral CT imaging in patients with gout and after trauma, is used in clinical routine to delineate materials with a specific absorption coefficient: in gout, urate crystals can be visualized, while after trauma, bone marrow edema can be detected. For EID-CT, different techniques for multi-spectral CT imaging are available (e.g. fast kV switching, dual source CT) which are widely used in clinical routine. Multi-spectral imaging is also inherently available for recently introduced PCD-CT. However, data on diagnostic accuracy of multi-spectral PCD-CT is currently lacking.

Enrollment

200 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patient admitted for non-contrast enhanced CT scan of the upper or lower extremity at the radiology department of Balgrist University Hospital
  • Signed general consent ("Information zur Weiterverwendung gesundheitsbezogener Daten und Proben zu Forschungszwecken")
  • >18 years of age
  • Written consent to participate in this study

Exclusion criteria

  • Clinically significant concomitant disease states (e.g., renal failure, hepatic dysfunction, cardiovascular disease, etc.)
  • Women: pregnancy
  • Age below 18 years
  • Known or suspected non-compliance, drug or alcohol abuse
  • Inability to consent and/or follow the procedures of the investigation, e.g. due to language problems, psychological disorders, dementia, etc. of the subject
  • Enrolment of the PI, his/her family members, employees and other dependent persons
  • Body mass above 200 kg.
  • Body mass below 31 kg.

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

200 participants in 1 patient group

Photon Counting Detector CT
Experimental group
Description:
PCD CT
Treatment:
Device: Photon Counting Detector CT

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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