Creation of a Clinical Database of Lumbar Spine MRI
Ориентир для пациента и семьи
Простыми словами
Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.
- Что изучают
- В протоколе указаны: Data Collection.
- Кому может быть актуально
- Состояния в реестре: Low Back Pain. Базовые параметры: 18 лет — 99 лет · Все.
- Что важно проверить
- Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
- Где проводится
- Список центров уточняется — проверьте первичный протокол.
- Следующий шаг
- Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
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Обзор
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.
Подробное описание
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.
Вмешательства
- Другое 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
Первичные конечные точки
- Establish a database of patients who underwent a MRI exam of the lumbar spine at the Centre Hospitalier Universitaire de Montreal (CHUM) in Canada. [Срок оценки: 1 year]
Вторичные конечные точки (1)
- Data annotation and developpment of artificial intelligence algorithms [Срок оценки: 2 years]
Критерии участия
Критерии включения
- Adult patient aged ≥ 18, no age limit;
- Suffering of low back pain ;
- Patient exam performed at the Centre Hospiralier Universitaire de Montreal (CHUM), Canada
Критерии исключения
- Patients with orthopedic material
- Patients with traumatic cases (ex : accidents)
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Да
Дизайн исследования
- Модель наблюдения
- Когортное
Центры проведения
Список центров уточняется — проверьте первичный протокол.
Идентификаторы
NCT: NCT06248827 · CM-01