extracorporeal shockwave versus phonophoresis using chitosan-nanoparticles gel on functional and anatomical changes detected with artificial intelligence based texture analysis algorithm in knee osteoarthritis patients: a double blind randomized controlled trial

Conditions: Knee Osteoarthritis; Chitosan Nanoparticles Gel; Artificial Intelligence Texture Analysis Bases Algorithm; Subchondral Bone Changes (Anatomical Changes); Extracorporeal Shockwave

Summary: a parallel double blinded randomized controlled clinical trial (rct) with a 1:1:1 allocation will be conducted in an orthopedic clinic in cairo and giza governments - egypt. this rct will evaluate the pain reduction, self-reported functional improvement, physical functional and anatomical improvement following the application of phonophoresis using chitosan-nanoparticles gel, ecsw therapy and traditional exercises compared to each other. the treatment period will last for 4 weeks with a total of (12 sessions/ 3 sessions per week for the application of phonophoresis using chitosan-nanoparticles gel and traditional exercises program) and (5 sessions/ 1 every week for the application of ecswt). the participants will be assessed at two different time-points (before-after treatment) with a sample size of 40 patients in each group (3 groups)

osteoarthritis (oa) is a common degenerative disease that is ranked as the 10th largest contributor to disabilities that has a link to higher comorbidity and excess mortality. one of most common degenerative diseases is knee osteoarthritis (koa). koa is a progressive, chronic degenerative condition that places a heavy socioeconomic burden on healthcare systems and society. the prevalence of knee oa has sharply increased to more than the double in the last 10 years as result of steady state in life expectancy. koa is a well-known as a cartilage disease that involves degradation and loss of articular cartilage. however, oa is usually accompanied by changes in the subchondral bone, with sclerosis, bone cyst, and osteophyte formation. recent studies reported that subchondral bone remodeling plays a very important role in koa, mediating and preceding cartilage damage. the increase in subchondral bone stiffness decreases the ability to scatter the loading forces within the knee joint, which then increases the force loaded on articular cartilage. therefore, the cartilage damage and progress of oa accelerated over time. the focus of treatment in early koa have shifted from the articular cartilage to the subchondral bone and become a potential therapeutic target of various therapeutic methods. regarding koa pain, accumulating evidence suggests that bottom-up vascularization from subchondral bone plays a larger role than top-down vessel invasion originating from synovial tissue or synovium during cartilage erosion in oa. as a result, it is a common complaint of orthopedists that osteoarthritis pain is not associated with the radiographic presentation. recent work revealed a relatively weak relationship between cartilage loss and oa joint pain. as different approaches aimed at articular cartilage or synovial components had inefficient results and the mechanism of bone cartilage crosstalk is gradually becoming clear, this study will try to confirm the critical role of subchondral bone in knee osteoarthritis and that subchondral bone could be an ideal outcome measure of osteoarthritis treatment. low-intensity pulsed ultrasound (lipus) and extracorporeal shockwave therapy (ecswt) are effective as a non-invasive method in histopathological recovery with more intense sight, ecswt has shown effectiveness in the regression of early koa associated with improving the subchondral bone remodeling, decrease the number of osteophytes and it can also increase osteocytes activity. besides, ecswt could alleviate chronic inflammatory activities in the whole joint through down-regulating inflammatory cytokines. additionally, it was reported that application of eswt to the subchondral bone of the knee significantly increased bone volume and trabecular number and reduced bone porosity. overall, eswt could reverse the pathology of oa progression to some extent. low-intensity us might influence the subchondral bone unit under joint disuse. lius with its associated acoustic radiation force can alleviate subchondral bone sclerosis during oa progression under normal joint use. in addition, if us technology combined with bioactive compounds materials as chitosan (cs), could improve the encapsulation efficiency of bioactive compounds whereas not only reduced the nanoparticle size but also narrowed their size distribution, this makes us as an effective delivery of biomaterials such as chitosan. in this context, inclusion of mixed interventions with us could improve its effect. therefore, this study will couple the use of us therapy with a new green environmentally friendly material called chitosan in the form of a topical gel. chitosan appears as proteoglycan in the extracellular matrix (shells) of some species of cephalopods. chitosan's biocompatibility, gradual degradability, non-toxicity, biological activity, anti-inflammatory properties, and antibacterial action, makes chitosan regarded as the best material for hydrogel. some studies used cs as intra-articular injection for koa and concluded that cs can promote chondrocyte proliferation, block inflammatory and catabolic mediators. therefore, phonophoresis using chitosan could reduce inflammation, limit cartilage degeneration and improve subchondral bone remodeling process. additionally, it is well known that confirming diagnosis of koa is based on assessing joint space width and this is carried out through radiography which depends on the kellgren-lawrence grade (k-lg) scale. despite k-lg scale is considered the most used classical diagnostic tool for ko, it has several drawbacks, including its application to the progression of diseases, its insensitivity to change, or inconsistencies in the authors' initial descriptions. furthermore, it is limited in how it evaluates treatment efficacy because it mostly uses pain scores. by looking to the adverse effects of conventional radiology, many studies had reported the possibility of an allergic reaction, expensive costs, lengthy inspection times, and difficulties in scanning patients with specific conditions. taking this into account, artificial intelligence (ai)-based approaches are starting to be used to solve these issues as image identification, pre-operative risk assessment, clinical decision- making, and analysis of large data sets, diagnosis, monitor, prognosis of rheumatological diseases, identifying risk factors for complications and has the unique ability to anticipate outcomes using patient-specific algorithms. ai plays a vital role in the appraisal of treatment, in which key progress in the clinical practice of rheumatology is the innovation of advanced imaging modalities. the use of ai in orthopedics has mostly concentrated on the development of machine learning (ml) and deep learning (dl) on these pictures. deep learning, which is a subset of ml, can assist in automatic interpretation of medical images, which may increase diagnostic accuracy and speed, flag the most urgent and critical patients for immediate attention, reduce the amount of human error caused by fatigue and/or inexperience, lessen the strain on medical professionals by reducing their workload, and, in general, improve orthopedic care. subchondral bone-remodeling process was reported previously as an important pathophysiology of ko whereas subchondral bone sclerosis is widely considered to be the hallmark of oa. texture analysis (ta) algorithm is used to detect changes in the subchondral bone density during remodeling process. it was demonstrated encouraging findings and the potential of automated texture analysis employing an ai algorithm as a diagnostic tool for oa in comparison to traditional ta techniques. bone structure value (bsv) is considered as a maximum-likelihood estimator of oa as automated ta depends on it in the analysis and assessment process that measures the micro-structure of the tibial subchondral bone depends on area of interest (roi). consequently, the purpose of this study is to explore the difference between ecswt, lius and traditional exercises regarding the pain reduction, functional improvement (self-reported and physical function) and anatomical improvement of subchondral bone (trabecular tibial bone) micro-structural changes.

Eligibility criteria:
inclusion criteria: 1. age between ≥40 and ≤ 65 years old. 2. both genders. 3. patients should have oa of the knee, kellgren-lawrence scores of 2 and 3 on radiologic evaluation. 4. if both knees diagnosed as oa, the most affected one will be selected. 5. diagnosis of koa who had knee pain and functional disabilities for at least three months, according to american college of rheumatology classification (acr) at screening visit. 6. visual analogue scale (vas) at rest score of ≥40 mm. 7. subjects have sufficient cognition that enables them to understand the requirements of the study, comply with the study procedures and visit schedule. exclusion criteria: 1. patients with any previous knee surgeries or lower limb fractures. 2. chronic inflammatory diseases such as rheumatoid arthritis. 3. any neurological disorders. 4. moderate to significant knee synovitis. 5. hot or red knee. 6. history and/or physical examination findings compatible with the internal derangement of knee. 7. pregnancy. 8. patients with bmi more than 35 (morbid obesity). 9. absence of current physical therapy treatments for koa. 10. cognitive limitations or endocrine disease. 11. patients who had undergone arthroscopy or treatment with intra-articular hyaluronic acid during previous 6 months. 12. use of nsaids one week prior to screening visit. 13. orthopedic diseases that may affect or interfere with the therapeutic effect. 14. habitual use of psychotropic or narcotic analgesics for ≥1 week within 8 weeks prior to screening. 15. participated in other intervention studies on the past 6 months to screening 16. participants with congenital musculoskeletal deformity.

Keywords: knee osteoarthritis chitosan nanoparticles gel artificial intelligence texture analysis artificial intelligence texture analysis bases algorithm chitosan subchondral bone changes anatomical changes extracorporeal shockwave ultrasound therapy phonophoresis medical imaging knee oa pathogenesis pathophysiology