Clinical trial · Interventional
New Magnetic Resonance Imaging and Spectroscopy Software in the Improvement of Image Quality
Evaluation of New Magnetic Resonance (MR) Imaging and Spectroscopy Software
NCT03980535CI-TRIAL-00061792completedN/AClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This trial studies how well new magnetic resonance imaging (MRI) and magnetic resonance spectroscopic imaging (MRSI) software works in improving the image quality of scans in both patients and healthy volunteers. Improving the image quality of MRI and MRSI through new software may lead to implementation of these techniques and better clinical care for patients.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Hematopoietic and Lymphoid Cell Neoplasm | Hematopoietic and Lymphoid Cell Neoplasm | ONTOLOGY_EXACT | 0.98 |
| Malignant Solid Neoplasm | Malignant Solid Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Magnetic Resonance Imaging | Procedure | — | UNRESOLVED |
| Magnetic Resonance Spectroscopic Imaging | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Device Feasibility (MRI, MRSI)
- description
- Patients undergo an additional investigational MRI or MRSI sequence along with the standard MRI or MRSI. Healthy volunteers undergo an investigational MRI or MRSI sequence. Healthy volunteers may also undergo an additional standard sequence if there is one that can be compared to the investigational sequence. All MRI or MRSI procedures, including the standard MRI or MRSI, are no longer than 60 minutes.
- interventionNames
- Procedure: Magnetic Resonance Imaging
- Procedure: Magnetic Resonance Spectroscopic Imaging
Primary outcomes (1)
- measure
- Development and/or optimization of new magnetic resonance (MR) imaging and spectroscopy applications and analysis software
- timeFrame
- Up to 7 years
- description
- A set of images will be collected using the new magnetic resonance imaging (MRI) or MR spectroscopy techniques. Whenever appropriate, another set of images using the standard of care software will also be collected and this set of images by the standard of care software will be compared to the images that are collected with the new MRI or MR spectroscopy techniques.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Patients who are scheduled for routine MR imaging or spectroscopy examinations at MD Anderson Cancer Center (MDACC). * Written informed consent will be obtained from each subject scanned who enrolled to individual sub-project under this protocol. * HEALTHY VOLUNTEERS: Written informed consent will be obtained from each subject scanned who enrolled to individual sub-project under this protocol Exclusion Criteria: * No pregnant subjects will be enrolled * No one under 18 years of age will be enrolled * No investigational devices or drugs will be used. * No contraindications to MR exam(s) * HEALTHY VOLUNTEERS: No pregnant subjects will be enrolled * HEALTHY VOLUNTEERS: No one under 18 years of age will be enrolled * HEALTHY VOLUNTEERS: No investigational devices or drugs will be used * HEALTHY VOLUNTEERS: No contraindications to MR exam(s) - healthy volunteers will use the same screening process utilized for MDACC patients (DI Patient Record - Part I, MR Screening Section) * HEALTHY VOLUNTEERS: Healthy volunteers (including healthy MD Anderson employee volunteers) under the direct report of a sub-project principal investigator (PI) will be excluded for that specific sub-project.
References
Publications (1)
- DERIVEDSaleh M, Virarkar M, Javadi S, Mathew M, Vulasala SSR, Son JB, Sun J, Bayram E, Wang X, Ma J, Szklaruk J, Bhosale P. A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging. J Comput Assist Tomogr. 2023 Sep-Oct 01;47(5):721-728. doi: 10.1097/RCT.0000000000001491. Epub 2023 Jun 9. PMID 37707401