Photon Counting Detector CT Image Quality

February 26, 2024 updated by: Reto Sutter, MD

Image Quality and Diagnostic Accuracy of Photon Counting Computed Tomography of the Upper and Lower Extremity

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.

Study Overview

Status

Not yet recruiting

Intervention / Treatment

Detailed 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.

Study Type

Interventional

Enrollment (Estimated)

200

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Photon Counting Detector CT
PCD CT
Photon counting detector CT scan with dose arbitrarily reduced compared to EID CT scan (e.g., half the dose of EID CT)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Image Quality PCD CT
Time Frame: 2 years

Likert scale based - 5 point Likert scale (0 = worst, 5 = best)

Visual gradings of PCD-CT image quality. Image quality will be assessed by teams of experienced musculoskeletal radiologists. Images from consistent sets of intra-subject PCD-CT and EID-CT data will be presented to derive the primary outcome data, in particular using visual analog scales (Likert-Scales). Inter-reader reliability will be assessed.

2 years
Diagnostic Accuracy PCD CT
Time Frame: 2 years
This will involve the calculation of sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy. The EID-CT image interpretation of the attending radiologists, as documented in the written report, will serve as reference standard against which the performance of PCD-CT will be compared. In cases with inconclusive written reports and image findings of EID-CT, a review committee consisting of experienced radiologists (e.g., other attending radiologists, chief of radiology) will be convened, and consensus reading including clinical correlation by consulting with the treating physicians and specialists involved in the patient's care will be done. Diagnostic confidence will be additionally analyzed for PCD-CT scans on a Likert-Scale. Inter-reader reliability will be assessed.
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

February 28, 2024

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

February 5, 2024

First Submitted That Met QC Criteria

February 26, 2024

First Posted (Estimated)

February 28, 2024

Study Record Updates

Last Update Posted (Estimated)

February 28, 2024

Last Update Submitted That Met QC Criteria

February 26, 2024

Last Verified

February 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • R490

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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