Rein 3D PRINT MECHANICS (Rein3DP-M)
Multimodal Imaging of the Biomechanical Properties of Kidney Tumors: Feasibility, Inter-modality Correspondence and Diagnostic Value
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Medical imaging plays a key role in the diagnostic and therapeutic management of renal cell carcinomas. It can be used to confirm the presence of a tumor, localize it, suggest malignancy or even histological subtype, guide sampling, perform TNM staging, assist in surgical scheduling, monitor therapeutic efficacy in the event of systemic treatment, guide ablathermy procedures and look for relapses after curative treatments have ended. Imaging of kidney tumors relies on three complementary imaging modalities: ultrasound (US), Computed Tomography based on X-ray absorption (CT-scan) and magnetic resonance imaging (MRI). The most commonly performed examination remains the CT scan, which is used to print 3D models. However, the correlation between renal parenchyma densities and renal tumors (before and during the scan acquisition times after injection) and elasticity parameters measured by US and MRI has never been explored.
This trial aim to evaluate the correspondence between several imaging modalities for characterizing the elasticity of healthy and pathological kidney tissue. It will also improve the realism of 3D models used by surgeons, and identify new complementary imaging biomarkers.
To achieve this aim, 50 patients will undergo DWI -elastography (Diffusion Weigthed Imaging-elastography) and MR-elastography sequences, as well as an US before the surgery. After surgery, a fragment of the resected specimen will be used to perform mechanical tests to determine the real hardness of the tissue.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: FOURAGE EVA, Dr
- Phone Number: 0033556795679
- Email: eva.fourage@chu-bordeaux.fr
Study Locations
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-
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Bordeaux, France, 33076
- Recruiting
- CHU de Bordeaux
-
Contact:
- Eva FOURAGE, Dr
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Adult patients (≥ 18 years of age)
- Scheduled for surgical management with nephrectomy for kidney tumor in the urology department of Bordeaux University Hospital
- CT scan available or scheduled for surgery
- Consent expressed for integration of the UroCCR database
- Expressed consent for participation in the Rein 3D Print Mechanics study
- Patients affiliated or benefiting from social security system
Exclusion Criteria:
- - Pregnant or breast-feeding women
- Contraindication to MRI (Magnetic Resonance Imaging)
- Contraindication to injection of gadoline contrast agents
- Biopsy performed within 15 days prior to MRI, CT and ultrasound scans (risk of artifactual alteration, via iatrogenic hemorrhagic changes, of the biomechanical properties of the renal tumor and parenchyma).
- Presence of thoracolumbar arthrodesis material
- Obese patient (body mass index ≥ 30 kg/m²)
- Cystic renal tumors with solid component (corresponding to either parietal thickening or tumor bud) < 2 cm
- Necrotic renal tumors with solid component (corresponding to either parietal thickening or tumor bud) < 2 cm
- Ascites
- Person under legal protection
- Difficulty understanding and expressing in French
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Patient with kidney cancer surgery
the patients will have an additionnal MRI elastography and Ultrasound exams for the research. The exams will be performed between the inclusion of the patient and the day before the surgery. Both exams are non-invasive, without radiation |
Imaging acquisition
Imaging acquisition
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Measurement of the root mean square error (RMSE)
Time Frame: Between Day 0 and Month 4
|
The aim is to successfully predict μMRE from dCT-, dCT40s, dCT90s, dCT10min (naming μCT the scan model prediction) with the lowest possible error.
|
Between Day 0 and Month 4
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Measure of Spearman's rho
Time Frame: Between Day 0 and Month 4
|
Researh of the highest possible value (maximum = 1).
|
Between Day 0 and Month 4
|
|
Measure of the qualitative assessment
Time Frame: Between Day 0 and Month 4
|
Measure based on a 5-point ordinal qualitative scale
|
Between Day 0 and Month 4
|
|
Measure of the contrast
Time Frame: Between Day 0 and Month 4
|
Calculation using the contrast-to-noise ratio
|
Between Day 0 and Month 4
|
|
Measure of the noise
Time Frame: Between Day 0 and Month 4
|
Calculation using the signal-to-noise ratio
|
Between Day 0 and Month 4
|
|
Identification of imaging faisability limiting factors
Time Frame: Between Day 0 and Month 4
|
Evaluation of the number of situations where the examination has no clinical diagnostic value and associations with potential limiting factors by using a composite criteria including :
|
Between Day 0 and Month 4
|
|
Evaluation of imaging repetabiliy limiting factors
Time Frame: Between Day 0 and Month 4
|
Measurement of the intra-class correlation coefficients and Bland-Altmann plot traces. The aim is for the intra-class score to be as high as possible (maximum = 1, ideally >0.90). |
Between Day 0 and Month 4
|
|
identification of decorrelation situations and potential bias between biomechanical properties obtained by hardness measurements in the different imaging modalities
Time Frame: Between Day 0 and Month 4
|
Visual measurement for each patient and anatomical situation with possible matching, point clouds with in X the hardness obtained by one imaging modality and in Y the hardness obtained by another imaging modality.
The descriptive characteristics of the points (voxel or patient segmentation) with decorrelation will then be analyzed.
|
Between Day 0 and Month 4
|
|
Carry out associations between histological categorical variables and numerical elasticity variables
Time Frame: Between Day 0 and Month 4
|
The measurement will be based on associations between categorical histological and numerical elasticity variables, with area under the ROC curve comparisons or cut-off identification where appropriate. Malignant/benign character (binary variable) and histological type (non- ordinal categorical variable) will be assessed as part of routine care by the pathologist. |
Between Day 0 and Month 4
|
|
Measure of the accuracy
Time Frame: Between Day 0 and Month 4
|
Measure accordance between continuous scanner elasticity mapping (in kPa) and discrete elasticity mapping derived from density classes (necrosis, tissue, calcifications), assessed by Spearman's correlation coefficient and Bland-Altman analysis (bias and limits of agreement), with the objective being a high correlation and minimal bias.
|
Between Day 0 and Month 4
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: FOURAGE EVA, Dr, University Hospital, Bordeaux
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Urogenital Diseases
- Urogenital Neoplasms
- Neoplasms by Site
- Neoplasms
- Male Urogenital Diseases
- Kidney Diseases
- Urologic Diseases
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Neoplasms by Histologic Type
- Neoplasms, Glandular and Epithelial
- Adenocarcinoma
- Urologic Neoplasms
- Carcinoma
- Carcinoma, Renal Cell
- Kidney Neoplasms
Other Study ID Numbers
Other Study ID Numbers
- CHUBX 2022/11
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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