Muscle Imaging Project Using ANatomopathology and Full Field Optical Coherence Tomography
Muscle Imaging Project Using ANatomopathology and Full Field Optical Coherence Tomography
Myositis is an inflammatory disease of the skeletal muscles that can be caused by infections, autoimmune diseases, or medications. Early diagnosis of these conditions is essential for optimal treatment. Anatomic pathology is the conventional method used to analyze muscle lesions, but it requires several weeks to obtain results. Full-field optical coherence tomography (OCT), a non-invasive imaging technique, could offer advantages in terms of speed and resolution for visualizing muscle inflammation.
This research project compares histological pathology and full-field OCT for the analysis of muscle biopsies from healthy individuals and patients suspected of having myositis. The aim of this study is to establish an OCT reference standard by analyzing control muscle biopsies and then comparing muscle inflammation in confirmed cases of myositis. The advantages and limitations of both methods will also be evaluated.
Introduction Myositis represents a group of inflammatory diseases affecting skeletal muscles, characterized by inflammatory infiltration of muscle tissue. This condition can have various etiologies, such as infections, autoimmune diseases (like dermatomyositis or polymyositis), or drug-induced diseases. Early diagnosis and accurate assessment of muscle inflammation are essential for the therapeutic management of these patients.
Conventional analytical techniques, such as histopathology, allow visualization and analysis of muscle lesions and inflammation using stains on histological sections. However, this method requires several weeks of work before a result can be obtained. Full-field optical coherence tomography (OCT), a non-invasive imaging technique, could offer significant advantages in terms of speed of examination and resolution of muscle structures, particularly for visualizing inflammatory infiltration.
This research project proposes to compare conventional histopathology and full-field optical coherence tomography for the analysis of muscle biopsies from both healthy individuals and patients with suspected myositis.
The main objective of this prospective and comparative study will be to first establish a reference standard by analyzing control biopsies using both methods, and then to similarly evaluate the muscle inflammation detected in confirmed cases of myositis. The respective advantages and limitations of each technique will be assessed in the detection of this pathology.
Research Objectives
Hypotheses Full-field optical coherence tomography will enable real-time visualization of inflammatory infiltration and muscle abnormalities with microscopic resolution, in a non-invasive, rapid, and dynamic manner.
These results could very quickly complement those obtained by anatomopathology which aims to describe the classic histopathological aspects of myositis, such as muscle necrosis, inflammatory infiltration, and fibrosis.
Methodology
Sample Selection
• Patient Groups:
Healthy muscle tissue will be obtained from a resection necessary during orthopedic surgery. This surgical waste does not constitute additional samples.
Biopsies for suspected myositis will be performed as part of the diagnostic process and do not require any additional sampling.
An information sheet will be given to the patient, and the surgeon will obtain their consent before the procedure. All patients must be of legal age, affiliated with or covered by the social security system, and not subject to any legal guardianship or protective measures. Pregnant women and adults unable to express their consent cannot be included in the research protocol.
Conventional Anatomopathological Analysis
Full-field optical coherence tomography (OCT) analysis
Comparison of methods Qualitative analysis: The images obtained by OCT will be visually compared to images obtained by conventional histology after scanning the slides. This comparison will be conducted by specialized anatomical pathologists to evaluate the ability of each method to detect muscle abnormalities and inflammation. An artificial intelligence algorithm may be used to facilitate the comparison.
Expected Results The results will allow us to evaluate the clinical value of OCT as an alternative or complementary imaging method to conventional histopathology. If OCT proves effective for detecting muscle inflammation, it could become a valuable tool for ultra-rapid diagnosis.
Inclusion Criteria:
Exclusion Criteria:
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