Skip to content

MRI 3D UTE Hyper-Cones & ZTE for PET/MR Lung Attenuation Correction & for Lung Diagnostic Imaging

MRI 3D UTE Hyper-Cones & ZTE for PET/MR Lung Attenuation Correction & for Lung Diagnostic Imaging

Status
Terminated
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03562806
Enrollment
9
Registered
2018-06-20
Start date
2018-05-23
Completion date
2021-03-09
Last updated
2022-05-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Diseases

Brief summary

MRI 3D UTE Hyper-Cones & ZTE for PET/MR lung attenuation correction & for lung diagnostic imaging

Detailed description

The primary objective is to clinically test the feasibility of 3D UTE Hyper-Cones & ZTE in capturing lung density of patients with lung diseases at reasonable clinical imaging times compared to standard MR lung protocols (LAVA-Flex, PROPELLER). Secondly, we want to investigate if Hyper-Cones & ZTE can be used for lung imaging such as vessels and air-pathways, oncological patients, lung nodules and lung infiltration & parenchyma pathophysiology such as chronic obstructive pulmonary disease.

Interventions

DIAGNOSTIC_TESTPET/MR image acquisition

Acquisition of PET and MR sequences on SIGNA PET/MR device.

Sponsors

University of Zurich
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* informed consent and signature * clinical PET/CT planned and performed at Wagi site in Schlieren * male or female patients * from 18 to 80 years of age.

Exclusion criteria

\- same

Design outcomes

Primary

MeasureTime frameDescription
Confirm that lung density map extraction is feasible through Hyper-Cones & ZTE scanning.1 yearConfirm that lung density map extraction is feasible through Hyper-Cones & ZTE scanning.

Countries

Switzerland

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026