Patient Registration for Interventional Roadmaps

Patient Registration for Interventional Roadmaps - PRIOR

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00039095

Enrollment

1000

Registered

2026-05-07

Start date

2026-06-01

Completion date

Unknown

Last updated

2026-06-01

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

Conditions

Recruitment independent of indication

Interventions

Group 1: Observational study (prospective, non-interventional, single-arm): Adult patients (outpatients or inpatients) with a planned tomographic scan (CT, PET/CT or SPECT/CT), recruited regardless of

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: - Adult patients (= 18 years) with planned CT, PET/CT, or SPECT/CT scans at Augsburg University Hospital. - The planned tomographic scan includes at least half of the abdomen and/or thorax, ideally also the head. - A previous CT scan of the abdomen and/or thorax is available.

Exclusion criteria

Exclusion criteria: - Patients whose previous CT scan did not include the abdomen/thorax region. - Patients whose upcoming CT, PET/CT, or SPECT/CT scan does not include at least half of the abdomen/thorax.

Design outcomes

Primary

Measure	Time frame
- Pose reconstruction compared to a “ground truth” obtained from the CT scan achieves an accuracy of less than 1 cm. - The detection rate of relevant movements during the tomographic scan based on multimodal sensor data is over 95%. - Similarity of the current pose compared to the pose in previous examinations of the same patient, measured using registration algorithms on the deformation field, can be improved by 50% compared to historical cohorts.	—

Measure

Time frame

- Pose reconstruction compared to a “ground truth” obtained from the CT scan achieves an accuracy of less than 1 cm. - The detection rate of relevant movements during the tomographic scan based on multimodal sensor data is over 95%. - Similarity of the current pose compared to the pose in previous examinations of the same patient, measured using registration algorithms on the deformation field, can be improved by 50% compared to historical cohorts.

—

Secondary

Measure	Time frame
- The accuracy of the automated estimation of body weight, compared to the currently measured body weight, reaches 90%. - Classification quality of the automatically recognized positioning (e.g., supine/prone, head first/feet first), measured in terms of sensitivity, specificity, and accuracy compared to a manually recorded ground truth, reaches 95%. - The agreement of the selected scan area based on automated determination compared to the CT topogram using IoU (intersection over union) is over 80%.	—

Measure

Time frame

- The accuracy of the automated estimation of body weight, compared to the currently measured body weight, reaches 90%. - Classification quality of the automatically recognized positioning (e.g., supine/prone, head first/feet first), measured in terms of sensitivity, specificity, and accuracy compared to a manually recorded ground truth, reaches 95%. - The agreement of the selected scan area based on automated determination compared to the CT topogram using IoU (intersection over union) is over 80%.

—

Countries

Germany

Contacts

Public ContactThomas Wendler

Universitätsklinikum Augsburg Klinik für Diagnostische und Interventionelle Radiologie und Neuroradiologie

thomas.wendler@med.uni-augsburg.de+49 821 400 9661

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Jun 11, 2026