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Fully Automated Scan Technique Optimisation of Scan Timing in Chest CT ([FAST-START])

Primary Purpose

Pulmonary Disease

Status
Terminated
Phase
Not Applicable
Locations
Netherlands
Study Type
Interventional
Intervention
FAST start software delay
Manual bolus tracking delay
Sponsored by
Maastricht University Medical Center
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional supportive care trial for Pulmonary Disease focused on measuring Chest CT, Bolus tracking, Image quality, Contrast media

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Patients referred for standard chest CT
  • Patients older than 18 years and competent to give informed consent

Exclusion Criteria:

  • Hemodynamic instability;
  • Pregnancy;
  • Renal insufficiency (defined as Glomerular Filtration Rate (GFR) < 30 mL/min (Odin protocol 004720));
  • Iodine allergy;
  • Age <18 years;
  • Absence of informed consent

Sites / Locations

  • Maastricht University Medical Center

Arms of the Study

Arm 1

Arm 2

Arm Type

Active Comparator

Active Comparator

Arm Label

FAST software

Control

Arm Description

Patient referred for chest CT and scanned with delay based on bolus tracking with FAST software. intervention: FAST START Software delay

Patient referred for chest CT and scanned with delay based on bolus tracking without FAST software. Intervention: Manual bolus tracking delay

Outcomes

Primary Outcome Measures

Intravascular enhancement
To evaluate the performance of the FAST software in patients receiving a thoracic CTA with regard to the number of non-diagnostic scans (< 300 HU) in comparison with standard care (manual scan delay).

Secondary Outcome Measures

Enhancement curves
To assess the enhancement curves calculated by the FAST software with regards to scan timing and delay and compare it with the scan timing and delay of the control group.
Intravascular attenuation
To assess the objective image quality with regard to intravascular attenuation in patients receiving standard CTA of the thorax with the FAST software.
Image noise
To assess the objective image quality with regard to image noise in patients receiving standard CTA of the thorax with the FAST software.
Signal-to-noise
To assess the objective image quality with regard to signal-to-noise in patients receiving standard CTA of the thorax with the FAST software.
Contrast-to-noise
To assess the objective image quality with regard to contrast-to-noise in patients receiving standard CTA of the thorax with the FAST software.
Subjective image quality
To assess the subjective (Likert scale) image quality parameters in patients receiving standard CTA of the thorax with the FAST software. a 4-point Likert scale will be used: 4: Excellent, absence of any image-degrading artefacts related to breathing or noise; 3: Good, presence of few minor image-degrading artefacts related to breathing or noise; 2: Moderate, presence of some image-degrading artefacts related to breathing or noise, with influence on image and diagnostic quality; 1: Poor, presence of image-degrading artefacts related to breathing or noise with severe influence on image and diagnostic quality.

Full Information

First Posted
April 25, 2018
Last Updated
March 19, 2019
Sponsor
Maastricht University Medical Center
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1. Study Identification

Unique Protocol Identification Number
NCT03658200
Brief Title
Fully Automated Scan Technique Optimisation of Scan Timing in Chest CT
Acronym
[FAST-START]
Official Title
Fully Automated Scan Technique Optimisation of Scan Timing in Chest CT
Study Type
Interventional

2. Study Status

Record Verification Date
March 2019
Overall Recruitment Status
Terminated
Why Stopped
Interim analysis showed primary outcome was not going to be achieved.
Study Start Date
April 5, 2018 (Actual)
Primary Completion Date
December 31, 2018 (Actual)
Study Completion Date
December 31, 2018 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Maastricht University Medical Center

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Product Manufactured in and Exported from the U.S.
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
Computed Tomography Angiography (CTA) is a non-invasive imaging tool widely used for various indications. Contrast media (CM) is used to enhance the intravascular lumen and organ parenchyma, depending on the indication. Recent technical advances in CT scan techniques allow for a very fast scan acquisition with substantially increased image quality in terms of temporal and spatial resolution. However, with faster scan acquisition, challenges arise with regard to CM bolus timing. The risk of outrunning the CM bolus in these fast acquisitions is higher, resulting in a decreased intravascular attenuation and subsequent hypothetical increase in non-diagnostic image quality. Previous studies have investigated the reduction of CM volume. When reducing the CM volume, the total injection time decreases and the window of peak enhancement shortens and becomes more narrow. The latter increases when injecting small CM volumes with higher flow rates. Although the peak enhancement increases, the window of peak enhancement decreases more rapidly. Thus, when administered with the same flow rate, the peak of the enhancement curve will be lower, narrower and faster compared to larger CM volumes. This, in combination with the faster scan acquisition makes the timing of the start of the scan highly important, since scanning at the peak enhancement is necessary to achieve a diagnostic image quality. New bolus tracking auto-delay software (Fully Automated Scan Technique, FAST, Siemens Healthineers) automatically estimates the delay needed to scan at the peak of the enhancement curve. With help of this software, the optimal individual scan delay and enhancement can be achieved, and the risk of non-diagnostic scans should decrease. Therefore, this study aims to evaluate the performance of the Bolus Tracking Auto-Delay (FAST) software in patients receiving a standard chest CT with regard to the number of non-diagnostic scans (< 300 HU) and compare this with standard care (manual set pre-scan delay).
Detailed Description
Computed Tomography Angiography (CTA) is a non-invasive imaging tool widely used for various indications. Contrast media (CM) is used to enhance the intravascular lumen and organ parenchyma, depending on the indication. Recent technical advances in CT scan techniques allow for a very fast scan acquisition with substantially increased image quality in terms of temporal and spatial resolution. These faster scan times account for a significant reduction in radiation dose, which is desirable in light of the "As Low As Reasonably Achievable" (ALARA) principle. Another advantage of the newer 'high-end' scanners is the use of lower tube voltages and lower CM volumes, since many studies have shown that CM volumes can be reduced with usage of lower tube voltages. However, with faster scan acquisition, challenges arise with regard to CM bolus timing. The risk of outrunning the CM bolus in these fast acquisitions is higher, subsequently leading to a decreased or even non-diagnostic enhancement (in Hounsfield Units (HU)). In addition, decreased CM volumes due to usage of lower tube voltages also add to the risk of outrunning the bolus. When reducing the CM bolus, the injection time decreases and the window of peak enhancement is shorter and more narrow. Also, when injecting these smaller CM volumes at higher flow rates, although the peak enhancement is increased, the window of peak enhancement decreases more rapidly. Thus, when administered with the same flow rate, the peak of the enhancement curve will be lower, narrower and faster compared to larger CM volumes. This, in combination with the faster scan acquisition makes the timing of the start of the scan (scan start delay) highly important, since scanning at the peak enhancement is necessary to achieve a diagnostic image quality. To determine scan delay, two techniques frequently used in daily clinical routine are the 'test bolus' and 'bolus tracking' technique. With the first, a smaller CM bolus is administered before the actual scan, and the time to peak of the intravascular enhancement is determined with help of dedicated software (DynEva, Siemens Healthineers, Forchheim, Germany). When using the 'bolus tracking' technique, no additional CM volume is administered. A region of interest (ROI) is placed in a large artery of interest (e.g. ascending or descending aorta), and a threshold enhancement is set prior to the scan (e.g. 100 HU). Repetitive low dose scans are acquired at the same level and the arrival of the CM bolus is followed. Once the threshold is reached, the scanner automatically starts the scan. Between reaching the threshold and the actual start of the scan, a manual post-tracking delay is set prior to scanning. This delay is necessary for both the table movement of the scanner to the start of the scan and the breath hold command. The problem is that this manual post-tracking delay is set prior to the scan, without information of the patient's cardiovascular dynamics (e.g. cardiac output). Since cardiac output can vary greatly inter- and intra-patient, this fixed post-tracking delay may not be appropriate for all patients. Scanning with a sub-optimal post tracking delay could potentially result in suboptimal arterial enhancement and insufficient diagnostic quality. With new bolus tracking auto-delay software (Fully Automated Scan Technique, FAST, Siemens Healthineers) the incidence of scans made at a suboptimal attenuation could be reduced. This software is similar to the 'bolus tracking' technique, the difference is that the manual post-tracking delay is calculated automatically by the software. During the low-dose repetitive scans at the level of the ROI, the attenuation in the ROI is used to predict the optimal enhancement curve. The software takes the injection protocol, tube voltage and patient parameters into account. A previously acquired database of numerous enhancement curves is consulted to predict a best fitted enhancement curve of the individual patient. The software then calculates the optimal post-tracking scan delay to scan at the peak enhancement. Thus, the optimal individual scan delay and enhancement based on the patients physiology can be achieved, and the risk of non-diagnostic scans should decrease. Therefore, this study aims to evaluate the performance of the FAST software in patients receiving standard chest CT with regard to the number of non-diagnostic scans (< 300 HU) and compare this with standard care (manual set pre-scan delay).

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Pulmonary Disease
Keywords
Chest CT, Bolus tracking, Image quality, Contrast media

7. Study Design

Primary Purpose
Supportive Care
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
Investigator
Allocation
Randomized
Enrollment
223 (Actual)

8. Arms, Groups, and Interventions

Arm Title
FAST software
Arm Type
Active Comparator
Arm Description
Patient referred for chest CT and scanned with delay based on bolus tracking with FAST software. intervention: FAST START Software delay
Arm Title
Control
Arm Type
Active Comparator
Arm Description
Patient referred for chest CT and scanned with delay based on bolus tracking without FAST software. Intervention: Manual bolus tracking delay
Intervention Type
Other
Intervention Name(s)
FAST start software delay
Intervention Description
Scan delay will be determined by the FAST software bolus tracking technique. Before the start of bolus tracking (the time between start injection and start bolus tracking), a delay of 8 s is chosen. Bolus tracking threshold is set at 100 HU with a cycle time of 1.13 s and scan time of 0.25 s. After reaching the 100 HU threshold the FAST START software calculates the delay.
Intervention Type
Other
Intervention Name(s)
Manual bolus tracking delay
Intervention Description
Scan delay will be determined by the standard bolus tracking technique. Before the start of bolus tracking (the time between start injection and start bolus tracking), a delay of 8 s is chosen. Bolus tracking threshold is set at 100 HU with a cycle time of 1.13 s and scan time of 0.25 s. After reaching the 100 HU threshold a delay of 6 s is chosen (table movement and breath hold command) and the scan starts.
Primary Outcome Measure Information:
Title
Intravascular enhancement
Description
To evaluate the performance of the FAST software in patients receiving a thoracic CTA with regard to the number of non-diagnostic scans (< 300 HU) in comparison with standard care (manual scan delay).
Time Frame
2 years
Secondary Outcome Measure Information:
Title
Enhancement curves
Description
To assess the enhancement curves calculated by the FAST software with regards to scan timing and delay and compare it with the scan timing and delay of the control group.
Time Frame
2 years
Title
Intravascular attenuation
Description
To assess the objective image quality with regard to intravascular attenuation in patients receiving standard CTA of the thorax with the FAST software.
Time Frame
2 years
Title
Image noise
Description
To assess the objective image quality with regard to image noise in patients receiving standard CTA of the thorax with the FAST software.
Time Frame
2 years
Title
Signal-to-noise
Description
To assess the objective image quality with regard to signal-to-noise in patients receiving standard CTA of the thorax with the FAST software.
Time Frame
2 years
Title
Contrast-to-noise
Description
To assess the objective image quality with regard to contrast-to-noise in patients receiving standard CTA of the thorax with the FAST software.
Time Frame
2 years
Title
Subjective image quality
Description
To assess the subjective (Likert scale) image quality parameters in patients receiving standard CTA of the thorax with the FAST software. a 4-point Likert scale will be used: 4: Excellent, absence of any image-degrading artefacts related to breathing or noise; 3: Good, presence of few minor image-degrading artefacts related to breathing or noise; 2: Moderate, presence of some image-degrading artefacts related to breathing or noise, with influence on image and diagnostic quality; 1: Poor, presence of image-degrading artefacts related to breathing or noise with severe influence on image and diagnostic quality.
Time Frame
2 years

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Patients referred for standard chest CT Patients older than 18 years and competent to give informed consent Exclusion Criteria: Hemodynamic instability; Pregnancy; Renal insufficiency (defined as Glomerular Filtration Rate (GFR) < 30 mL/min (Odin protocol 004720)); Iodine allergy; Age <18 years; Absence of informed consent
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Joachim E Wildberger, Prof.
Organizational Affiliation
Maastricht University Medical Center
Official's Role
Principal Investigator
Facility Information:
Facility Name
Maastricht University Medical Center
City
Maastricht
State/Province
Limburg
ZIP/Postal Code
6202 AZ
Country
Netherlands

12. IPD Sharing Statement

Citations:
PubMed Identifier
20574084
Citation
Bae KT. Intravenous contrast medium administration and scan timing at CT: considerations and approaches. Radiology. 2010 Jul;256(1):32-61. doi: 10.1148/radiol.10090908.
Results Reference
background
PubMed Identifier
16237139
Citation
Funama Y, Awai K, Nakayama Y, Kakei K, Nagasue N, Shimamura M, Sato N, Sultana S, Morishita S, Yamashita Y. Radiation dose reduction without degradation of low-contrast detectability at abdominal multisection CT with a low-tube voltage technique: phantom study. Radiology. 2005 Dec;237(3):905-10. doi: 10.1148/radiol.2373041643. Epub 2005 Oct 19.
Results Reference
background
PubMed Identifier
11058640
Citation
Huda W, Scalzetti EM, Levin G. Technique factors and image quality as functions of patient weight at abdominal CT. Radiology. 2000 Nov;217(2):430-5. doi: 10.1148/radiology.217.2.r00nv35430.
Results Reference
background
PubMed Identifier
16237140
Citation
Nakayama Y, Awai K, Funama Y, Hatemura M, Imuta M, Nakaura T, Ryu D, Morishita S, Sultana S, Sato N, Yamashita Y. Abdominal CT with low tube voltage: preliminary observations about radiation dose, contrast enhancement, image quality, and noise. Radiology. 2005 Dec;237(3):945-51. doi: 10.1148/radiol.2373041655. Epub 2005 Oct 19.
Results Reference
background
PubMed Identifier
27161054
Citation
Kok M, Mihl C, Hendriks BM, Altintas S, Kietselaer BL, Wildberger JE, Das M. Optimizing contrast media application in coronary CT angiography at lower tube voltage: Evaluation in a circulation phantom and sixty patients. Eur J Radiol. 2016 Jun;85(6):1068-74. doi: 10.1016/j.ejrad.2016.03.022. Epub 2016 Mar 22.
Results Reference
background
PubMed Identifier
26587942
Citation
Kok M, Mihl C, Seehofnerova A, Turek J, Jost G, Pietsch H, Haberland U, Wildberger JE, Das M. Automated Tube Voltage Selection for Radiation Dose Reduction in CT Angiography Using Different Contrast Media Concentrations and a Constant Iodine Delivery Rate. AJR Am J Roentgenol. 2015 Dec;205(6):1332-8. doi: 10.2214/AJR.14.13957.
Results Reference
background
PubMed Identifier
25900084
Citation
Korporaal JG, Bischoff B, Arnoldi E, Sommer WH, Flohr TG, Schmidt B. Evaluation of A New Bolus Tracking-Based Algorithm for Predicting A Patient-Specific Time of Arterial Peak Enhancement in Computed Tomography Angiography. Invest Radiol. 2015 Aug;50(8):531-8. doi: 10.1097/RLI.0000000000000160.
Results Reference
background

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Fully Automated Scan Technique Optimisation of Scan Timing in Chest CT

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