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NCT Number: NCT07552220

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Centre Hospitalier de Mâcon

Mâcon, 71000, France

About this study

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

  • To analyze the spatial resolution of both methods for visualizing histopathological details at the level of muscle fibers, connective tissue, and blood vessels.
  • To compare the ability of conventional histopathology and full-field optical coherence tomography (OCT) to detect muscle inflammation in muscle biopsies from healthy individuals and patients with myositis.
  • To evaluate the diagnostic accuracy of both techniques in identifying inflammation-related abnormalities, such as inflammatory cell infiltration (lymphocytes, macrophages), muscle fiber degradation, and fibrosis.
  • To compare the acquisition time and ease of use of each method for analyzing muscle tissue in a clinical setting.

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:
  • Group 1 (healthy patients): Muscle biopsies from approximately ten healthy adult patients with no history of muscular, neurodegenerative, or inflammatory disease, undergoing orthopedic surgery. The age range should be variable (18-90 years) to be representative of the population and to account for natural age-related atrophy.
  • Group 2 (patients with suspected myositis): Muscle biopsies from adult patients presenting with clinical symptoms consistent with myositis (muscle fatigue, pain, muscle weakness) and clinical suspicion confirmed by other diagnostic tests (e.g., serology, EMG, clinical examination).

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
  • Samples will be frozen in ispoentane, stored at -80°C, and then transported on dry ice to the Anatomopathology Department of the Hospices Civils de Lyon for section labeling.
  • Histological staining of healthy tissues: Three standard stains will be performed on control biopsies (hematoxylin and eosin (H&E), Gomori stain, fiber typing) to collect structural and metabolic data.
  • Histological staining in cases of suspected myositis: The three standard stains will also be performed, as well as stains for inflammatory markers, namely the major histocompatibility complex (HLA I, HLA DR), complement (C5b9), autophagy (p62), and clusters of differentiation (CD56, CD31).
  • Full-field optical coherence tomography (OCT) analysis
  • Full-field OCT technology allows for micrometer-resolution imaging without the need for prior sample preparation. OCT will be used to image muscle tissue samples in real time, both structurally (FF-OCT) and dynamically (DCI). A series of 1 µm slices will be acquired. The images will then be converted by an algorithm to reproduce hematoxylin and eosin staining.
  • OCT images could allow visualization of muscle fiber structure, surrounding connective tissue, and areas of inflammatory infiltration.
  • 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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patient > 18 years old ans has given his oral consent
  • Patient who biospies are performed as part of care

Exclusion criteria

  • Patient < 18 years old

Treatment and study plan

Primary outcomes

  1. Evaluation of the spatial resolution of the two methods

    Time frame: 2 years

    Image acquisitions will be performed on the same samples (fresh tissue for OCT and frozen tissue for histology) with an identical section thickness.

    To obtain structural tissue data, OCT acquisitions will be performed in full field mode (FF-OCT), and Hematoxylin-Eosin, Gomori's trichrome and NADH staining will be carried out on histological sections.

    For each method, the criteria evaluated will be the ability to detect fiber structure, the presence of fibrosis and blood vessels.

    Image comparison will be performed by specialized pathologists and then by an autoML type artificial intelligence, with assessment of accuracy and recall.

  2. Evaluation of inflammation detection of the two methods

    Time frame: 2 years

    Image acquisition will be performed on the same samples (fresh tissue for OCT and frozen tissue for histology) with an identical section thickness.

    OCT acquisitions will be carried out in dynamic colorimetric mode (DCI) to observe the intensity and variability of metabolic activity across the entire fresh tissue sample using a color panel ranging from blue to red.

    Inflammation detection on histological sections will be observed using the markers HLA1, HLA-DR, C5B9, P62, CD31, CD56. The potential correlation between metabolic activity and inflammation will be visually assessed by specialized pathologists and by an autoML type artificial intelligence with assessment of accuracy and recall.

Secondary outcomes

  1. Establish the advantages and limitations of the two methods

    Time frame: 2 years

    Define the averages for sample preparation time, acquisition time and result delivery time for each method.

    Compare the quality of the results obtained by the two techniques according to the two previous evaluation criteria (visual assessment by pathologists, accuracy, recall and AI F1 score)

Study contacts

Contact information is provided by the study sponsor or research team.

Emilie Chopin, Biology master

CONTACT

[email protected]

+333 85 27 56 86

Thibault Maillet, Doctor

CONTACT

[email protected]

+333 85 27 73 43

Sponsors and collaborators

Lead sponsor

Centre Hospitalier de Mâcon

Other

Registry information

Acronym: PIMANT

Important dates

Study start
2026
Primary completion
2028
Study completion
2028
First posted
Apr 27, 2026
Registry last updated
Apr 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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