Trial · NCT07883460
Improving Combined PET/CT and MRI of the Breast Using Dedicated Breast Positioning and Image Registration
NCT07883460, Not applicable, Not yet recruiting, Universität Münster
3 sourcestrials-2026-11-12-0.5.0
Cite this record
ConductScience Library. Improving Combined PET/CT and MRI of the Breast Using Dedicated Breast Positioning and Image Registration. Trials, record NCT07883460. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT07883460
On this page
Trial
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
- Title
- Improving Combined PET/CT and MRI of the Breast Using Dedicated Breast Positioning and Image Registration
- NCT number
- NCT07883460
- Status
- Not yet recruiting
- Phases
- Not applicable
- Enrollment
- 20 participants, estimated
- Lead sponsor
- Universität Münster
- Conditions
- Breast Cancer, Breast - Female
- Interventions
- Prone Breast PET/CT Acquisition
- First posted
- 2026-10-20
- Last updated
- 2026-10-20
Source ClinicalTrials.gov
Registered outcomes6
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description |
|---|---|---|---|
| Primary | Target Registration Error After Multimodal Breast Image Registration | Up to 4 months after completion of imaging acquisition for each participant | Target Registration Error (TRE) will be used to quantify the spatial accuracy of registration between corresponding breast imaging datasets. TRE will be calculated as the distance in mm between predefined corresponding anatomical or imaging reference points after registration. Lower TRE values indicate greater registration accuracy. Registration performance will be assessed for datasets acquired in different body positions and for datasets acquired in comparable prone breast positions. |
| Primary | Mean Three-Dimensional Structural Similarity Index (3D-SSIM) Between Registered PET Datasets | Up to 4 months after completion of imaging acquisition for each participant | Structural similarity between the registered PET datasets acquired as part of PET/CT and PET/MRI will be assessed using the three-dimensional Structural Similarity Index (3D-SSIM), implemented in Python using the scikit-image library. The index provides a dimensionless measure of similarity in spatial image patterns, with higher values indicating greater structural similarity and a value of 1 representing perfect similarity. The 3D-SSIM will be calculated within the registered breast image volume for each registration approach and acquisition setting to assess registration performance and the effect of comparable breast positioning on registration quality. |
| Secondary | Absolute Difference in SUVmax After Image Deformation | Up to 4 months after completion of imaging acquisition for each participant | The maximum standardized uptake value (SUVmax) will be measured in corresponding regions of the original PET dataset and the PET dataset after application of the calculated deformation field. The absolute difference in SUVmax between the original and deformed datasets will be calculated to quantify changes in quantitative PET information introduced by image deformation. The mean absolute difference in SUVmax will be compared across registration methods and patient positioning conditions to assess the robustness of the registration approaches and whether reduced positioning differences improve quantitative stability. |
| Secondary | Absolute Difference in SUVmean After Image Deformation | Up to 4 months after completion of imaging acquisition for each participant | The mean standardized uptake value (SUVmean) will be measured in corresponding regions of the original PET dataset and the PET dataset after application of the calculated deformation field. The absolute difference in SUVmean between the original and deformed datasets will be calculated to quantify changes in quantitative PET information introduced by image deformation. The mean absolute difference in SUVmean will be compared across registration methods and patient positioning conditions to assess the robustness of the registration approaches and whether reduced positioning differences improve quantitative stability. |
| Secondary | Absolute Difference in SUVpeak After Image Deformation | Up to 4 months after completion of imaging acquisition for each participant | The peak standardized uptake value (SUVpeak) will be measured in corresponding regions of the original PET dataset and the PET dataset after application of the calculated deformation field. The absolute difference in SUVpeak between the original and deformed datasets will be calculated to quantify changes in quantitative PET information introduced by image deformation. The mean absolute difference in SUVpeak will be compared across registration methods and patient positioning conditions to assess the robustness of the registration approaches and whether reduced positioning differences improve quantitative stability. |
| Secondary | Absolute Difference in SUVmax-Based Tumor-to-Background Ratio After Image Deformation | Up to 4 months after completion of imaging acquisition for each participant | The tumor-to-background ratio based on maximum standardized uptake value (TBRmax) will be calculated in corresponding regions of the original PET dataset and the PET dataset after application of the calculated deformation field. The absolute difference in TBRmax between the original and deformed datasets will be calculated to quantify changes in quantitative PET contrast introduced by image deformation. The mean absolute difference in TBRmax will be compared across registration methods and patient positioning conditions to assess the robustness of the registration approaches and whether reduced positioning differences improve quantitative stability. |
Source ClinicalTrials.gov
Outcomes0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
None in this release.
Results by group0
Each measurement the trial posted, group by group, in the words and numbers it posted.
None in this release.
Participant flow0
How many started, completed or left each group, period by period.
None in this release.
Adverse events0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
None in this release.
Adverse event totals0
The totals the trial posted for each group.
None in this release.
Papers0
The papers the trial lists on ClinicalTrials.gov.
None in this release.
Grants0
The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.
None in this release.
Trial comparisons0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
None in this release.
Tests0
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
None in this release.
Data dates
The day each source was copied for this release.
Sources 3
- ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
- ClinicalTrials.govNo license stated
- NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
- ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
- ClinicalTrials.govnone stated
- NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
For software
Read this trial from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/trials/v1/NCT07883460
GET https://conductscience.org/api/trials/v1/NCT07883460/registered