Creation of a Clinical Database of Lumbar Spine MRI
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Data Collection.
- Who it may be relevant to
- Registry conditions: Low Back Pain. Basic parameters: 18 years — 99 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
The creation of a clinical database including patients who suffer from low back pain and underwent a lumbar spine MRI Exam. This database will allow us to : * Collect patients symptoms, medical history, and MRI exams * Launch the annotation of the MRI exams by expert radiologists * Link and relate information between the exams and the diagnostic done by the experts * Train and develop a diagnostic platform for th spinal pathologies based on artificial intelligence.
Detailed description
Low back pain is classically characterized by pain in the lower back, which may be accompanied by varying degrees of restricted mobility and pain radiating down to the feet. The management of low back pain is a global public health issue, since it represents one of the major causes of disability worldwide.
Degenerative disc disease (DDD) is the most common underlying pathology. These include herniated discs, pinched discs and degenerative spondylolisthesis (slippage of one vertebra in relation to its neighbor). Worldwide, 266 million patients suffer from DDD every year. The socio-economic impact of these pathologies is considerable.
DDD results from a variety of pathologies that may interact with each other. The diversity of these pathologies and the complexity of their interactions often lead to failure of a clear diagnosis, and consequently to inappropriate treatment.
In clinical practice, MRI is the reference test for the diagnosis of these pathologies, but inter-observer reliability remains moderate between 2 practitioners (sensitivity 56% and Cohen's κ ⊂ \[0.41-0.6\]) or even low (κ ⊂ \[0.21-0.4\]) between 2 practitioners of different specialties. So there is still a major gap to be bridged in order to make radiologists' diagnoses more reliable and standardized.
In this context, the creation of a clinical database including patient symtoms and exams is of hogh interest.Thsi database will allow us to :
1. Annotate the MRI exams by experts radiologists in order to train and develop AI algorithms 2. Create a tool to support radiologists in their diagnoses would therefore be a considerable step forward. Such a tool, combined with non-invasive data, would make it possible to establish a specific diagnosis early on,
The database will also allow us to develop or participate in multicentric clinical studies, at the national or international level, as well as to facilitate the identification of correlations between MRI findings, the patients symptoms and the origin of the low back pain.
Interventions
- Other Data Collection
Patient data : gender, age, height, weight, daily life (type of job) Diagnostic data : Description of first symptoms/medical history (pain), previous medical history, MRI exams
Primary outcome measures
- Establish a database of patients who underwent a MRI exam of the lumbar spine at the Centre Hospitalier Universitaire de Montreal (CHUM) in Canada. [Time frame: 1 year]
Secondary outcome measures (1)
- Data annotation and developpment of artificial intelligence algorithms [Time frame: 2 years]
Eligibility criteria
Inclusion criteria
- Adult patient aged ≥ 18, no age limit;
- Suffering of low back pain ;
- Patient exam performed at the Centre Hospiralier Universitaire de Montreal (CHUM), Canada
Exclusion criteria
- Patients with orthopedic material
- Patients with traumatic cases (ex : accidents)
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Cohort
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT06248827 · CM-01