Trial · NCT07888218
Replacing Spatial Filtering With Deep-learning Noise Reduction
NCT07888218, Not yet recruiting, Central Hospital, Nancy, France
3 sourcestrials-2026-11-12-0.5.0
Cite this record
ConductScience Library. Replacing Spatial Filtering With Deep-learning Noise Reduction. Trials, record NCT07888218. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT07888218
On this page
Trial
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
- Title
- Replacing Spatial Filtering With Deep-learning Noise Reduction
- NCT number
- NCT07888218
- Status
- Not yet recruiting
- Enrollment
- 49 participants, estimated
- Lead sponsor
- Central Hospital, Nancy, France
- Conditions
- Cardiac Disease
- First posted
- 2026-10-22
- Last updated
- 2026-10-22
Source ClinicalTrials.gov
Registered outcomes2
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description |
|---|---|---|---|
| Primary | Compare deep learning-based noise reduction and conventional spatial filters for myocardial scintigraphy image reconstruction. | Day 1 | Experienced physicians will perform a visual analysis of the images reconstructed with and without deep learning and will complete a questionnaire that includes an image quality and interpretation score. |
| Secondary | Compare left ventricle end-diastolic and end-systolic volumes and Left Ventricle Ejection Fraction between deep learning and conventional filters | Day 1 | Image quality: visual scale of cine loops for the two observers, categorized as good-to-excellent (low background noise, good edge definition), intermediate, or poor (very high background noise, edge definition making analysis difficult or impossible). |
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/NCT07888218
GET https://conductscience.org/api/trials/v1/NCT07888218/registered