NCT05651360

Brief Summary

The goal of this non-inferiority observational study is to assess the diagnostic performance of low-dose CT with deep learning image reconstruction (DLIR) in adult participants with acute abdominal conditions. The main research question is: • Can low-dose CT with DLIR achieve the same diagnostic performance as standard CT for the diagnosis of acute abdominal conditions. Participants will be examined with an additional low-dose CT directly after the standard CT. Participant will be their own controls.

Trial Health

90
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
246

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Dec 2022

Shorter than P25 for all trials

Geographic Reach
2 countries

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 15, 2022

Completed
22 days until next milestone

Study Start

First participant enrolled

December 7, 2022

Completed
8 days until next milestone

First Posted

Study publicly available on registry

December 15, 2022

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 10, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 10, 2023

Completed
Last Updated

October 17, 2023

Status Verified

October 1, 2023

Enrollment Period

7 months

First QC Date

November 15, 2022

Last Update Submit

October 16, 2023

Conditions

Keywords

Computed TomographyDeep learning image reconstructionLow-doseDiagnostic performanceDiagnosis

Outcome Measures

Primary Outcomes (1)

  • Diagnostic performance of low-dose CT

    Diagnostic performance of low-dose CT compared to standard CT according to ICD 10 diagnosis. Diagnostic performance measured in terms of: Sensitivity given in % according to TP/(TP+FN); specificity given in % according to TN/(TN+FP); positive predictive value given in % according to TP/(TP+FP); negative predictive value given in % according to TN/(TN+FN); accuracy given in % according to (TP+TN)/(TP+TN+FP+FN). Number true positive (TP); number true negative (TN); number false positive (FP); number false negative (FN).

    4 to 6 months

Secondary Outcomes (5)

  • Perceived image quality

    4 to 6 months

  • Image quality - noise

    4 to 6 months

  • Image quality - contrast-to-noise ratio

    4 to 6 months

  • Radiation dose

    4 to 6 months

  • Diagnoses

    4 to 6 months

Study Arms (1)

Abdominal Pain

Participants under evaluation for an acute abdominal condition who are referred to CT of the abdomen and pelvis.

Diagnostic Test: low-dose CT

Interventions

low-dose CTDIAGNOSTIC_TEST

Low-dose CT scan will be performed, not exceeding 30% radiation dose of the standard CT. Low-dose CT images will be reconstructed with TrueFidelity high. The low-dose CT will be performed directly after the standard CT to avoid bias from differences in the timing of the contrast phase.

Abdominal Pain

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

primary care clinic; university hospital

You may qualify if:

  • Patients under evaluation for an acute abdominal condition who are referred to CT of the abdomen and pelvis.
  • Age \>18 years
  • The patients must be able to give their oral and written consent to study participation.

You may not qualify if:

  • Contraindications regarding contrast enhanced CT examinations like known iodinated contrast media adverse reactions or claustrophobia.
  • Pregnancy.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Odense University Hospital

Odense, Denmark

Location

Oslo University Hospital

Oslo, Norway

Location

Related Publications (29)

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MeSH Terms

Conditions

Abdominal PainAcute PainCholecystitis, AcuteAppendicitisPancreatitisDisease

Condition Hierarchy (Ancestors)

PainNeurologic ManifestationsSigns and SymptomsPathological Conditions, Signs and SymptomsSigns and Symptoms, DigestiveCholecystitisGallbladder DiseasesBiliary Tract DiseasesDigestive System DiseasesIntraabdominal InfectionsInfectionsGastroenteritisGastrointestinal DiseasesCecal DiseasesIntestinal DiseasesPancreatic DiseasesPathologic Processes

Study Officials

  • Anselm Schulz, PhD

    Oslo University Hospital

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
MD, PhD

Study Record Dates

First Submitted

November 15, 2022

First Posted

December 15, 2022

Study Start

December 7, 2022

Primary Completion

July 10, 2023

Study Completion

July 10, 2023

Last Updated

October 17, 2023

Record last verified: 2023-10

Data Sharing

IPD Sharing
Will not share

IPD will not be shared due to legal and privacy Issues.

Locations