Innovative Approaches for the Treatment of Spinal Disorders: A Comprehensive Review
Edgmin Rostomian, Kevin Ghookas, Alexander Postajian, Kevin B Vartanian, Vedi Hatamian, Marcel P Fraix, Devendra K. Agrawal*
Department of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, California 91766 USA
*Corresponding Author: Devendra K. Agrawal, Department of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, California 91766 USA.
Received: 10 February 2025; Accepted: 20 March 2025; Published: 27 March 2025
Article Information
Citation: Edgmin Rostomian, Kevin Ghookas, Alexander Postajian, Kevin B Vartanian, Vedi Hatamian, Marcel P Fraix, Devendra K. Agrawal. Innovative Approaches for the Treatment of Spinal Disorders: A Comprehensive Review. Journal of Orthopedics and Sports Medicine. 7 (2025): 144-161.
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This comprehensive review explores the latest advancements in the management of spinal disorders, including minimally invasive surgical techniques, treatment of complex deformities, disc replacement technologies, and non-surgical approaches. The review highlights the potential of innovations such as robotic-assisted surgeries, regenerative medicine, and artificial intelligence to enhance precision, reduce recovery times, and improve patient outcomes. It also discusses the integration of wearable technologies and personalized medicine in tailoring treatments. Challenges such as high costs, accessibility issues, and limited long-term data are critically analyzed, alongside gaps in research, including a lack of diversity in study populations and insufficient economic evaluations. Future directions emphasize the need for multidisciplinary collaboration to develop durable, accessible, and personalized solutions to address the global burden of spinal disorders.
Keywords
Accessibility challenges; Artificial disc replacement; Artificial intelligence; Complex deformities; Disc replacement; Minimally invasive surgery; Non-surgical treatment; Personalized medicine; Regenerative medicine; Spinal disorders; Wearable technologies
Accessibility challenges articles; Artificial disc replacement articles; Artificial intelligence articles; Complex deformities articles; Disc replacement articles; Minimally invasive surgery articles; Non-surgical treatment articles; Personalized medicine articles; Regenerative medicine articles; Spinal disorders articles; Wearable technologies articles
Article Details
1. Overview of Spinal Disorders
The spine is a complex structure comprising numerous joints, ligaments, and muscles, playing a pivotal role in supporting body weight, enabling movement, and protecting the spinal cord. Disruptions to this intricate system, such as herniated discs, degenerative disc disease, and traumatic injuries, are leading causes of chronic pain and functional impairments globally [1]. According to a systematic analysis of the Global Burden of Disease Study, low back pain is among the leading contributors to disability-adjusted life years (DALYs) for musculoskeletal disorders globally, highlighting its significant societal impact [2]. In the United States, the economic toll of lower back pain, a sign of spinal disorders, exceeds billions annually due to healthcare costs, lost productivity, and disability compensation [3]. Low back pain is a significant contributor to musculoskeletal healthcare expenses in Europe as well, representing a major cause of economic burden through substantial healthcare utilization and lost productivity among working-age populations [4,5]. Moreover, disparities in access to spinal care contribute to heightened chronic disability in underserved regions due to limited diagnostic tools and therapeutic resources [6].
Emerging strategies aim to address these challenges. Innovations like minimally invasive surgery (MIS), regenerative treatments, and combined technologies such as artificial intelligence (AI) and wearable devices hold promise in revolutionizing spinal care. These advancements aim to improve clinical outcomes, reduce recovery times, and alleviate economic strains by providing cost-effective, efficient, and equitable solutions. This review explores these innovations, assessing their effectiveness, applications, and potential to reshape spinal disorder management while outlining opportunities for further progress in this critical field.
2. Advancements in Treatment
The field of spinal disorder treatment has experienced a transformative change, shifting away from traditional methods to innovative approaches that challenge established constraints. While conventional approaches, such as physical therapy, medication for pain relief, and traditional surgeries, have been historically effective, they often involve extended recovery times, substantial risks of complications, and variable outcomes [3]. In response to these challenges, the field has embraced minimally invasive techniques, regenerative therapies, and integrative technologies, which are redefining the landscape of spinal care.
Minimally invasive surgery has emerged as groundbreaking, utilizing innovations such as endoscopic discectomy, percutaneous vertebroplasty, and robotic-assisted spinal fusion to decrease tissue damage, speed up recovery, and lower procedural risks. Robotic-assisted systems have demonstrated significant improvements in pedicle screw placement accuracy, reducing the incidence of intraoperative complications such as bleeding and infection compared to traditional methods [8]. Studies on percutaneous vertebroplasty have reported rapid pain relief and improved functional mobility, particularly in patients with osteoporotic vertebral fractures [9,10].
Regenerative medicine approaches are redefining treatment paradigms, particularly for patients unsuitable for surgical interventions. Platelet-rich plasma (PRP) therapies have been shown to accelerate healing by targeting inflammatory processes and promoting tissue regeneration in degenerative disc disease [11]. Furthermore, mesenchymal stem cell therapies are emerging as promising alternatives, with experimental data indicating enhanced extracellular matrix production and intervertebral disc hydration in preclinical models [12-14].
The integration of advanced technologies is further challenging existing norms. Artificial intelligence (AI) aids in diagnostic accuracy and surgical planning, as demonstrated in studies where AI-based imaging systems achieved superior vertebral alignment predictions compared to traditional methods [15,16]. Additionally, innovations in spinal implants, including motion preserving prosthetics and 3D-printed devices, are reshaping the management of spinal pathologies. Studies have shown that motion-preserving prosthetics, such as artificial discs and dynamic stabilization systems, may reduce the risk of adjacent segment degeneration compared to traditional fusion techniques [17,18]. Moreover, 3D-printed implants, designed for better biocompatibility and load distribution, have demonstrated promising outcomes in preclinical and early clinical trials, supporting their potential to optimize spinal stability and reduce mechanical stress on adjacent segments [19,20].
Although these developments represent extraordinary progress, many challenges exist. High costs and steep learning curves associated with robotic systems pose barriers to their widespread adoption, particularly in community hospitals [21,22]. Similarly, regenerative therapies, while promising, are constrained by limited cost-effectiveness analysis and an absence of long-term safety data [23]. Further large-scale, multicenter studies are required to establish comprehensive guidelines and ensure equitable access to these transformative treatments.
3. Risk Factors
The onset of spinal disorders is the result of a complex interplay of internal and external risk factors as seen in Figure 1. Aging is a prevalent factor that leads to degenerative changes in the spine, such as wear and tear of intervertebral discs, reduced bone strength, and thickening of ligaments, which increases the likelihood of developing issues like spinal stenosis and degenerative disc disease. Studies have shown that the prevalence of lumbar spinal stenosis significantly rises in individuals aged 60 and older, with systematic reviews estimating about 14% of elderly populations display clinical or radiological signs of stenosis [24]. Similarly, research highlights the growing impact of degenerative disc diseases in elderly populations, emphasizing the pressing need for targeted interventions [25].
Additionally, occupational factors exacerbate risks, with physically demanding jobs such as construction showing a significantly higher incidence of lumbar disc herniation and chronic back pain (Figure 1). Construction workers have a significantly higher risk of developing lumbar disc herniation compared to sedentary occupations, with ergonomic interventions demonstrating potential to mitigate this risk by addressing physical demands and improving workplace safety [26,27]. As life expectancy continues to climb around the world, the societal impact of age-related diseases is likely to increase, amplifying the need for focused interventions.
Lifestyle habits, characterized by a lack of physical activity, obesity, and smoking, intensify spinal disorder susceptibility. Obesity has been causally associated with intervertebral disc degeneration, with studies indicating that a higher body mass index significantly increases the risk of lumbar disc degeneration due to mechanical stress and systemic inflammation [28,29]. Smoking has a dose-dependent relationship with intervertebral disc degeneration, impairing blood flow to spinal structures and exacerbating inflammatory processes, contributing to progressive disc deterioration [30]. Conversely, physical activity strengthens paraspinal muscles and improves musculoskeletal health, reducing the likelihood of spinal instability and degenerative conditions [31].
Genetics adds another layer of complexity, as inherited traits can affect conditions such as scoliosis and disc degeneration. Heritability studies indicate a substantial genetic contribution to lumbar disc degeneration, with research highlighting the role of inherited factors and genetic predisposition in its development [32]. Understanding this genetic connection offers the potential for tailored treatment options, highlighting the importance of comprehensive prevention strategies to reduce the incidence of spinal disorders.
4. Etiology
The causes of spinal disorders are complex and arise from various primary factors that distinctly influence their development and progression. Degenerative changes due to agerelated alterations in spinal structure are at the forefront. As time passes, intervertebral discs dry out and become less elastic, leading to conditions such as degenerative disc disease, instability, or spinal stenosis. Recent studies have confirmed that such changes, compounded by osteoarthritis and facet joint degeneration, significantly contribute to dysfunction in aging populations [33]. Additionally, lumbar spinal stenosis is frequently observed in aging populations, with notable clinical symptoms leading to substantial healthcare utilization and societal impact, as highlighted in recent analyses [34].
Trauma stands out as another significant factor, including sudden injuries such as fractures, dislocations, or ligament tears caused by high-energy events like car accidents or falls. If these injuries are not addressed, they can lead to long-term disabilities and neurologic issues. More subtle repetitive stress injuries, often linked to certain occupations, can gradually lead to chronic spinal problems. Workers in physically demanding roles exhibit a significantly higher prevalence of degenerative musculoskeletal changes, as highlighted by systematic reviews. This highlights the importance of occupational health interventions to mitigate risks and enhance workplace safety [35,36].
Inflammatory conditions, such as ankylosing spondylitis and rheumatoid arthritis, significantly contribute to spinal disorders. Ankylosing spondylitis predominantly affects the sacroiliac joints and axial skeleton, resulting in progressive rigidity and deformity due to chronic inflammation and abnormal bone formation [37]. Rheumatoid arthritis, on the other hand, frequently involves the cervical spine, leading to atlantoaxial instability or subluxation and potential neurological deficits if untreated [38]. Both conditions arise from autoimmune mechanisms that drive inflammation, cartilage destruction, and bone erosion. Early intervention with disease-modifying antirheumatic drugs and biologics has improved patient outcomes, but delayed treatment increases the risk of severe complications [39].
Neoplastic involvement, which can be either primary (e.g., chordomas) or metastatic (e.g. from breast to lung cancer), adds to the complexity, often leading to fractures or spinal cord compression that requires a multidisciplinary approach. Spinal metastases represent a significant proportion of osseous metastatic cases, frequently leading to structural instability and neurological complications, underscoring their critical importance in oncological care [40]. This complicated etiology elucidates the need for targeted therapeutic strategies to tackle the multifaceted cause of spinal disorders.
5. Incidence
The occurrence of spinal disorders has increased significantly around the world, driven by changes in demographics, lifestyle patterns, and inequities in healthcare accessibility. Low back pain is one of the most prevalent and disabling conditions globally, significantly associated with aging populations. Conditions like osteoarthritis, disc degeneration, and spinal stenosis increase in prevalence with age, and projections indicate that by 2050, the global population aged 60 and older will nearly double, intensifying healthcare challenges [41,42].
Regional differences reveal the impact of occupational hazards and lifestyle choices. Occupations with poor ergonomic practices, such as manual labor, are strongly associated with musculoskeletal disorders. Preventive ergonomic interventions have been shown to significantly reduce these risks [43]. Sedentary lifestyles and rising obesity rates contribute to increased spinal strain and elevate the risk of degenerative conditions such as lumbar disc degeneration and osteoarthritis [44,45].
Economic disparities also impact this epidemiological trend. Limited access to healthcare in low-income regions often results in advanced-stage diagnoses, while high-income countries report higher utilization of advanced imaging and surgical interventions [46]. Addressing these global disparities will require targeted strategies to reduce the burden of spinal disorders effectively.
6. Underlying Pathogenesis
6.1 Mechanical Instability
Mechanical instability of the spine arises from structural disruptions that compromise its ability to maintain proper alignment and distribute loads during physiological activities. Disc degeneration, a major factor, reduces shock absorption and intervertebral spacing as hydration and elasticity decrease over time. This leads to increased mechanical stress, which exacerbates further degeneration and instability [47]. Herniated or bulging discs, commonly associated with nerve root compression, are significant contributors to radicular pain and motor deficits. Studies highlight the prevalence of instability and functional impairments in such cases, necessitating early diagnosis and intervention [48,49].
Another key contributor to mechanical instability in spinal disorders is the dysfunction of spinal musculature and ligamentous structures. Paraspinal muscle weakness, particularly in the multifidus and erector spinae, reduces the ability of spine to maintain proper alignment and resist abnormal movement, significantly contributing to instability. Research highlights the importance of muscle endurance and recruitment in maintaining segmental stability and mitigating degenerative changes [50]. Ligamentous laxity, often resulting from repetitive stress or degenerative conditions, exacerbates this instability by allowing excessive motion at intervertebral joints, which further stresses surrounding structures and accelerates degeneration [51]. Together, these impairments create a vicious cycle of instability and degeneration, underscoring the need for targeted rehabilitative and, in severe cases, surgical interventions.
Vertebral misalignments, such as spondylolisthesis and scoliosis, further disrupt the biomechanical equilibrium of the spine. Spondylolisthesis, characterized by the forward slippage of a vertebra, creates excessive stress on adjacent segments and accelerates degeneration [52]. Scoliosis leads to uneven spinal loading, which contributes to progressive degeneration and chronic pain. Clinical studies show that increasing Cobb angles are associated with mechanical instability, particularly in cases of significant spinal deformity, exacerbating functional impairments [53,54]. These degenerative, inflammatory, and structural factors collectively create biomechanical instability, necessitating targeted interventions to restore function and alleviate symptoms.
6.2 Neurologic Impact
The neurological effects of spinal disorders are significant, resulting in pain, sensory changes, and functional impairment, stemming from the interaction of nerve compression and inflammatory responses. Structural issues like herniated discs or osteophytes intrude upon spinal nerve roots or the spinal cord itself, hindering neural communication and triggering symptoms such as radicular pain, tingling, and muscle weakness [55]. Lumbar disc herniation commonly compresses the exiting nerve root within the neural foramen, leading to sciatica characterized by radiating leg pain. Displaced disc material is a significant cause of nerve root compression associated with sciatica [56].
In addition, inflammation worsens neural dysfunction. Disc injury and degeneration activate proinflammatory mediators, such as tumor necrosis factor-alpha (TNF-α) and interleukin-1 beta (IL-1β), which sensitize nociceptors and perpetuate pain signaling. This creates a self-reinforcing cycle that amplifies pain and dysfunction [57-59]. Animal studies demonstrate that blocking TNFα reduces inflammation and alleviates pain in radiculopathy, suggesting potential therapeutic strategies [60].
In critical situations, extended nerve compression and inflammation can lead to serious neurological impairments. Conditions such as cauda equina syndrome, characterized by bowel and bladder issues, saddle anesthesia, and weakness in the lower limbs, require immediate surgical action [61]. Similarly, cervical spondylotic myelopathy can result in quadriparesis and walking difficulties, significantly impacting the quality of life [62].
Effective management of these conditions involves addressing both mechanical and inflammatory components. Novel treatments, including biological therapies targeting TNF-α and tailored decompression techniques, show promise in mitigating these complex effects and improving patient outcomes [63].
7. Diagnostic Methods
7.1 Imaging Modalities
Innovative imaging technologies have significantly changed the assessment of spinal disorders, allowing for unmatched visualization of spinal anatomy and pathologies. MRI is considered the standard for evaluating soft tissues, excelling in defining intervertebral discs, ligaments, the spinal cord, and nerve roots [64]. Recent advancements, such as diffusion weighted imaging (DWI) and contrast-enhanced MRI, offer enhanced insights into microvascular and functional dynamics, facilitating differentiation between neoplastic, infectious, and inflammatory conditions [65]. These techniques are particularly effective for detecting spinal metastases and abscesses with high sensitivity and specificity.
Computed tomography (CT) remains unparalleled for assessing bony structures, enabling accurate detection of fractures, spondylolisthesis, and facet joint degeneration [66]. Innovations like dual-energy CT enhance diagnostic precision by allowing material decomposition to distinguish between bone, soft tissue, and contrast agents, making it valuable for evaluating spinal stenosis and postoperative complications [67]. CT myelography, meanwhile, is a critical alternative for patients contraindicated for MRI, particularly for assessing nerve root impingement [68].
X-rays, despite their limitations in soft tissue detail, continue to be important in initial evaluations by providing quick and cost-effective assessments of surgical misalignment and deformities such as scoliosis and kyphosis [69]. Dynamic radiographs obtained during flexion extension movements are essential for assessing instability in lumbar degenerative spondylolisthesis. These imaging techniques allow for the identification of dynamic instability by evaluating abnormal vertebral motion, providing critical insights into the biomechanical behavior of the spine [70]. Emerging technologies, such as functional MRI and photon-counting CT, promise to further enhance diagnostic capabilities by offering deeper insights into spinal biomechanics and pathology [71]. Together, these imaging modalities enable a comprehensive and tailored approach to managing spinal disorders.
7.2 Functional Assessments
Functional assessments are pivotal in the evaluation of spinal disorders, providing objective insights into neuromuscular health. Electrodiagnostic techniques such as electromyography (EMG) and nerve conduction studies (NCS) are essential for the diagnosis and monitoring of conditions that affect nerve and muscle functionality, acting as vital supplements to imaging and clinical examinations [72].
EMG is fundamental to functional diagnostics and involves the placement of thin needles into muscles to monitor electrical activity during both rest and contraction. It reveals abnormal patterns such as fibrillations, fasciculations, or changed motor unit potentials, which signal nerve or muscle dysfunctions. EMG is particularly valuable in diagnosing lumbar radiculopathy by identifying denervation in specific myotomes when clinical findings or imaging results are inconclusive [73]. Abnormal EMG findings are often linked to nerve root compression in the lumbar spine, correlating with conditions like sciatica [74].
Nerve conduction studies, in collaboration with EMG, assesses the speed and strength of electrical impulses traveling through peripheral nerves. By analyzing factors such as conduction velocity and distal latency, NCS can identify conduction blocks, demyelination, or axonal degeneration. NCS has proven effective in detecting conditions like spinal stenosis and peripheral neuropathies [75]. Reduced conduction velocity in the sciatic nerve, for example, frequently signals compression due to herniated lumbar discs [76].
Advancements in electrodiagnostic tools, such as high-density surface EMG and automated NCS systems, have enhanced diagnostic accuracy and efficiency. High-density EMG facilitates detailed, non-invasive motor unit mapping, while automation reduces operator variability, improving reproducibility [77]. However, these tests are not without limitations. Needle-based EMG may cause discomfort, and both EMG and NCS require a high level of operator expertise to ensure accurate interpretation [78]. Results must be integrated with clinical and imaging findings to avoid misdiagnosis.
Despite their limitations, EMG and NCS are crucial tools for the diagnosis and treatment of spinal disorders, providing objective data essential for effective treatment plans. Continued technological improvements are expected to further enhance their precision and comfort for patients.
7.3 Emerging Diagnostic Tools
Advancements in diagnostic technologies are transforming the field of spinal care, with new methods such as AI-driven analytics, molecular imaging, and biomarker-based tools providing unparalleled accuracy and personalization. These advancements have the potential to change the way spinal disorders are detected, assessed, and treated, moving towards earlier and more customized interventions.
Artificial intelligence has quickly become a part of diagnostic processes, utilizing algorithms to analyze imaging data with exceptional precision. In the realm of spinal diagnostics, AI-enabled tools evaluate MRI and CT scans to uncover subtle abnormalities that human observers might overlook, including early disc degeneration or minor herniations. Deep learning algorithms enhance diagnostic speed and reliability and facilitate predictions of surgical outcomes, such as adjacent segment disease following spinal fusion [79,80]. These advancements improve clinical decision-making and support personalized treatment strategies.
Molecular imaging techniques like positron emission tomography (PET) and single-photon emission computed tomography (SPECT) provide insights into metabolic and cellular activities within spinal structures. These methods surpass the anatomical focus of traditional imaging by identifying inflammation, infections, and malignancies at the molecular level. For example, fluorodeoxyglucose PET (FDG-PET) has shown high sensitivity in diagnosing vertebral osteomyelitis and spinal metastases, enabling targeted therapies [81, 82]. Hybrid imaging systems such as PET/MRI further enhance diagnostic accuracy by combining functional and structural data, which is particularly useful in assessing spinal tumors and inflammatory conditions [83,84].
Biomarker-based diagnostics represent a promising frontier, focusing on molecular markers like matrix metalloproteinases and pro-inflammatory cytokines. These biomarkers have demonstrated potential in early detection of degenerative processes and chronic pain syndromes, offering a complementary approach to imaging [85,86]. Studies indicate that elevated cytokine levels correlate with early-stage disc degeneration and inflammation, facilitating less invasive diagnostic options [87].
Despite their transformative potential, these technologies face challenges in terms of cost, accessibility, and integration into clinical workflows. AI systems require vast datasets for continued refinement, while molecular imaging and biomarker testing must address standardization and cost-effectiveness issues. Collaborative efforts among researchers, clinicians, and policymakers are essential to overcome these obstacles and ensure equitable implementation of these advanced diagnostics [88,89].
8. Treatment Strategies and Adverse Effects
8.1 Minimally Invasive Surgeries
MIS have transformed the management of spinal disorders, offering a refined alternative to conventional open surgery. Utilizing advanced techniques such as endoscopic discectomy and robotic-assisted spinal fusion as depicted in Figure 2, MIS reduces tissue damage, speeds up recovery, and improves clinical results, signifying a meaningful shift in spinal treatment approaches.
Endoscopic discectomy is a prime example of innovation in MIS, addressing herniated discs and radiculopathy through a tubular endoscope that is inserted through a small incision. This method enables direct visualization and removal of problematic disc material, leading to decreased postoperative pain, shorter hospital stays, and faster recovery times compared to traditional microdiscectomy [90,91]. Technological advancements, including high-definition optics and flexible instruments, have expanded its application across lumbar, thoracic, and cervical disorders [92]. However, its adoption faces challenges, including a steep learning curve and risks such as incomplete decompression or recurrence, emphasizing the importance of experienced practitioners and careful patient selection [93,94].
Robotic-assisted spinal fusion signifies a significant advancement, employing robotic systems for exceptional accuracy in screw placement and alignment during lumbar interbody fusion (Figure 2). The approach reduces risks of improper hardware positioning, lowers blood loss, minimizes infection rates, and promotes faster recovery [95,96]. Studies report improved functional outcomes and patient satisfaction compared to conventional techniques [96]. However, the technology entails high initial costs, longer setup times, and requires surgeon expertise, posing barriers to widespread adoption despite ongoing improvements [22].
While minimally invasive surgery techniques offer substantial benefits, they have limitations. Restricted visualization can increase the risk of incomplete decompression or nerve injury, and sophisticated equipment imposes logistical and financial challenges. Additionally, patients with severe deformities or significant scar tissue may not be ideal candidates for minimally invasive surgery [97]. Nonetheless, ongoing advancements continue to refine these techniques, broadening their applicability and improving patient outcomes.
8.2 Complex Deformity Corrections
Surgical correction of complex spinal deformities, such as scoliosis and kyphosis, is a highly intricate yet rewarding field within spinal surgery. These procedures aim to restore spinal alignment, alleviate pain, and enhance functionality. However, they come with significant technical challenges and potential complications, particularly adjacent segment disease.
Scoliosis, characterized by lateral curvature of the spine, is often treated with posterior spinal fusion using instrumentation. Pedicle screw fixation provides robust biomechanical stability, enabling three-dimensional correction of deformities. Modern techniques, such as robotic assisted screw placement and intraoperative imaging systems, have significantly improved precision, reducing complications like screw malposition [98]. Long-term studies validate the efficacy of posterior spinal fusion in halting curve progression and significantly enhancing quality of life for patients with adolescent idiopathic scoliosis, establishing its reliability as a standard treatment [99].
Kyphosis, which is marked by a significant forward curvature of the thoracic spine, typically requires posterior-based osteotomies like pedicle subtraction osteotomy or vertebral column resection. These methods provide considerable sagittal correction but come with considerable risks, including significant blood loss, infections, and neurological deficits [100,101]. Emerging technologies like 3D-printed patient-specific implants are improving surgical outcomes by offering personalized anatomical fit and reducing operative times [102].
Despite their effectiveness, these corrections are associated with a long-term risk of adjacent segment disease, which results from altered spinal biomechanics post-fusion. Adjacent segment disease is a recognized complication of long-segment spinal fusions, with its incidence varying based on patient factors and surgical approaches. Emerging strategies like dynamic stabilization devices and selective fusion techniques aim to reduce this risk, though their long-term efficacy requires further investigation [103,104]. Additionally, technologies like 3D-printed implants and advanced surgical planning software combined with intraoperative navigation are reshaping deformity correction by improving precision and efficiency [105].
8.3 Disc Replacement
Artificial disc replacement (ADR) represents a groundbreaking advancement in the treatment of degenerative disc disease and associated spinal conditions, providing a motion sparing option compared to the rigidity seen in spinal fusion [106]. ADR devices utilize materials such as ultra-high molecular weight polyethylene, cobalt-chromium- molybdenum alloys, and titanium alloys to replicate the biomechanical function of natural discs, ensuring flexibility and long-term durability [107]. Clinical studies highlight the efficacy of ADR in both cervical and lumbar regions, showing significant pain relief and functional improvements. Cervical ADR has demonstrated reduced rates of adjacent segment degeneration compared to anterior cervical discectomy and fusion, primarily due to its ability to maintain segmental motion and alleviate biomechanical strain on adjacent levels [108].
Long-term studies have indicated that ADR can significantly reduce the incidence of adjacent segment degeneration compared to traditional fusion techniques [109,110]. Complications associated with ADR, such as implant wear leading to inflammation or osteolysis, and mechanical issues like migration or subsidence, remain significant concerns [111,112]. These risks are heightened in patients with inadequate bone quality or due to improper implantation techniques, occasionally requiring revision surgeries [113,114].
Patient selection is crucial for success. Individuals with advanced facet joint degeneration, osteoporosis, or spinal instability may experience lower success rates, making comprehensive preoperative evaluations essential. Additionally, high costs and inconsistent insurance coverage pose barriers to widespread adoption, particularly in low- and middle-income regions [106].
Innovations aim to address these limitations. The use of advanced biomaterials such as polyether ether ketone (PEEK) and titanium coatings enhances osseointegration and reduces wear, while personalized disc designs tailored to individual biomechanics are showing promise in improving outcomes and reducing complications [115,116]. With ongoing advancements in biomaterials and design, ADR continues to evolve as a cornerstone of modern spinal treatment.
8.4 Non-Surgical Approaches
Non-surgical management is a fundamental aspect of treating spinal disorders, especially for patients experiencing mild to moderate symptoms or those who are not candidates for surgery. These methods, which include well established options like physical therapy and medication, as well as newer treatments such as electrical stimulation, focus on alleviating symptoms while being minimally invasive.
Physical therapy is central to conservative treatment, utilizing customized exercise programs and manual techniques to improve strength, flexibility, and posture. Core stabilization exercises reduce stress on the lumbar region and enhance dynamic stability, effectively lessening pain and disability for those with chronic low back pain and degenerative disc disease [117,118]. Supervised therapy consistently outperforms home-based programs, with randomized controlled trials highlighting improved adherence and outcomes in supervised settings [119].
Medication provides symptomatic relief, particularly during acute episodes. Non-steroidal anti-inflammatory drugs (NSAIDs) are a widely used first-line treatment for managing pain and inflammation associated with osteoarthritis and lumbar radiculopathy, particularly for their effectiveness in reducing inflammatory processes and providing analgesia [120]. Muscle relaxants and gabapentinoids are effective for managing spasms and radicular pain, though caution is advised for long-term use due to risks of dependence, particularly with opioids [121].
Electrical stimulation is increasingly recognized as an innovative treatment method. Transcutaneous electrical nerve stimulation (TENS), which uses electrical currents to influence pain signals, demonstrates moderate efficacy in managing chronic spinal pain [122]. Spinal cord stimulation (SCS), involving electrode implantation near the spinal cord, is promising for complex cases like failed back surgery syndrome [123]. Emerging technologies such as percutaneous electrical nerve stimulation (PENS) and pulsed electromagnetic field (PEMF) therapy show potential for reducing pain and promoting healing by targeting underlying inflammation [124].
While generally low risk, the effectiveness of non-surgical treatments can differ based on individual patient characteristics. A comprehensive approach that integrates physical therapy, medication, and innovative methods is essential for maximizing results, with continuous advancements likely to enhance treatment possibilities.
9. Outstanding Questions, Gaps in Knowledge, and Challenges
9.1 Durability of Innovations
The long-term viability and dependability of new spinal treatments remain significant uncertainties despite their initial potential. ADR, MIS, and biological therapies have shown promising outcomes in the short to medium term. However, their ability to sustain functional benefits and prevent complications over extended periods remains unclear due to the limited duration of follow-up in most studies, which are often confined to the early years after treatment [125,126].
ADR, for example, has become popular as a motion-sparing substitute for spinal fusion. Studies report that while ADR reduces adjacent segment degeneration compared to fusion, lateonset issues like implant failure or loosening often necessitate revision surgeries, which are technically complex and carry higher risks [127]. MIS techniques, such as endoscopic discectomy and robotic-assisted fusion, offer benefits like reduced recovery times, lower morbidity, and enhanced surgical precision. However, concerns remain about their long-term biomechanical impacts, particularly risks of incomplete decompression, altered load distributions, and symptom recurrence, especially in patients with advanced degeneration or deformities [128,129].
Biological therapies, such as platelet-rich plasma (PRP) injections and cell-based treatments, show promise for tissue regeneration but face challenges related to the durability of their effects. Concerns about immune responses and potential tumorigenic risks highlight the need for more extended observation [130,131].
Addressing these challenges requires long-term, multicenter cohort studies with standardized outcome measures and robust data collection. Collaborative registries that monitor real-world patient outcomes can complement clinical trials, providing comprehensive insights into safety and efficacy over decades. Such efforts are critical to establishing the durability and broader applicability of these promising interventions.
9.2 Accessibility Issues
Access to advanced spinal technology such as ADR, MIS, and biological therapies is limited by high prices and infrastructure challenges. In areas with limited resources, differences in provider skills, healthcare systems, and insurance coverage worsen these issues. Robotic-assisted surgeries, for instance, demonstrate significant clinical benefits, yet their high initial investment and maintenance expenses restrict availability to affluent institutions [132]. Custom implants and advanced technologies, such as 3D-printed prosthetics, face distribution challenges primarily due to high production costs and limited availability, despite their potential for personalized and effective patient care. The cost of materials and production scalability are significant barriers, hindering widespread adoption [133].
Efforts to mitigate these inequalities include nonprofit collaborations and global partnerships, which have made strides in improving spinal care access in low- and middle-income countries. Subsidized programs for robotic surgeries and portable MIS equipment have shown promise in reducing procedural costs while maintaining quality [134]. Policy measures encouraging local manufacturing and expanding insurance coverage for advanced spinal treatments further enhance accessibility by lowering costs [135].
Innovative models, including telemedicine for pre- and post-operative care and portable diagnostic technologies, are also helping bridge gaps in rural and underserved regions. These solutions not only lower logistical costs but also enable more equitable distribution of high-quality care. However, sustained progress will require large-scale investments, public-private collaborations, and regulatory reforms to integrate advanced spinal technologies into diverse healthcare settings [136].
9.3 Research Limitations
Research on spinal conditions encounters various limitations including the scarcity of randomized controlled trials (RCTs), a lack of diversity in study populations, and inadequate economic evaluations. The absence of RCTs, which is the benchmark for medical evaluation, weakens trust in newly developed interventions. Observational designs and small-scale studies are common, introducing biases that restrict generalizability. Treatments like MIS and biological therapies show promise, but their integration into clinical practice is hindered by a lack of direct comparisons with conventional methods [137].
Additionally, geographic and socioeconomic bias further limit the generalizability of results. Research is often disproportionately conducted in affluent areas, leaving out underrepresented groups from low- and middle-income countries or rural areas. Similarly, older adults, women, and ethnic minorities remain underrepresented in spinal research, reducing the relevance of findings to global patient populations [138,139].
Economic analyses are also lacking, particularly for emerging technologies such as robotic systems and 3D-printed implants. Comprehensive cost-effectiveness data are essential for policy decisions, especially in resource-limited settings [19,140].
Efforts to overcome these challenges include conducting multicenter RCTs with standardized outcomes and leveraging global collaborations to increase diversity in research populations. Patient registries and real-world evidence can complement traditional trials, offering insights into long-term efficacy and cost-effectiveness. Expanding funding in underserved regions and implementing equity-focused study designs are vital for improving the inclusivity and applicability of spinal research [135].
10. Future Directions in Spinal Care
Progress in spinal care is accelerating rapidly, with breakthroughs in regenerative medicine, technology integration, and individualized strategies transforming the field. These new areas hold the potential to address existing limitations, improve results, and revolutionize the treatment of spinal conditions, though not without challenges.
10.1 Regenerative Medicine
Regenerative medicine is poised to revolutionize spinal treatment by leveraging the body's intrinsic regenerative capabilities through stem cells, biomaterials, and biologics. Mesenchymal stem cells, derived from bone marrow or adipose tissue, exhibit anti-inflammatory and reparative properties, with preclinical studies demonstrating their efficacy in mitigating intervertebral disc degeneration by restoring extracellular matrix and disc height [141]. Initial clinical trials mirror these outcomes, highlighting the potential of mesenchymal stem cells in slowing degeneration progression while improving function [142].
Hydrogels and engineered biomaterials serve as critical platforms in tissue engineering, enabling cell delivery while providing structural support to degenerated discs. These scaffolds enhance disc regeneration and improve biomechanical stability [143]. Furthermore, biologics such as growth factors, specifically, bone morphogenic proteins and platelet-derived growth factor, stimulate reparative cellular processes, offering an adjunctive strategy in tissue restoration [144].
However, significant challenges hinder broad application, including ensuring cell survival, optimizing delivery mechanisms, and managing potential immune responses [145]. Newer innovations, such as injectable biomaterials infused with stem cells and precision medicine strategies, are addressing these limitations by providing personalized approaches tailored to individual biomechanics [146].
Further long-term studies and multicenter trials are essential to validate these advancements' safety and durability in real-world clinical settings. Collaborative efforts are crucial to overcoming scalability and regulatory barriers, ensuring equitable access to these transformative therapies.
10.2 Technological Integration
The integration of robotics, AI, and wearable technologies is revolutionizing spinal care by improving both surgical accuracy and diagnostic precision. Robotic-assisted systems like Major X and Excelsius GPS offer unmatched precision in instrumentation and pedicle screw placement, minimizing intraoperative mistakes and enhancing patient outcomes. Clinical studies report reduced complication rates, decreased intraoperative radiation exposure, and shorter recovery periods compared to conventional freehand techniques [147,148]. However, challenges such as high costs, steep learning curves for surgeons, and substantial infrastructure requirements hinder widespread adoption, particularly in resource-constrained settings [149].
AI continues to revolutionize spinal diagnostics by leveraging machine learning algorithms to detect subtle abnormalities and predict disease progression. For instance, AI models have been shown to improve early detection of intervertebral disc degeneration and predict surgical outcomes for patients undergoing complex spinal fusion surgeries, contributing to personalized treatment plans [150]. AI-driven imaging analysis has also enhanced the identification of conditions like spinal stenosis and adjacent segment disease with higher diagnostic accuracy compared to traditional assessments [151,152].
Wearable technologies complement these advancements by providing real-time data that allow clinicians to dynamically adjust treatment strategies. For example, devices that monitor posture and spinal motion during rehabilitation offer actionable insights, promoting adherence to therapy and improving patient outcomes [153,154]. Innovations such as feedback-enabled wearable sensors for postural correction have shown potential in preventing complications during recovery, particularly after spinal surgeries [155].
Despite these promising developments, adoption barriers persist. The high costs of robotic systems and wearable devices limit access, while the need for rigorous validation studies remains a critical challenge to ensure long-term effectiveness and reliability. Addressing these issues requires collaborative efforts in research, policymaking, and industry investment to promote equitable access to these transformative technologies [156].
10.3 Personalized Medicine
Personalized medicine allows customizing treatments based on an individual's genetic, molecular, and clinical characteristics, which not only enhances therapeutic results but also reduces unnecessary medical procedures. Genetic profiling has become an essential tool, identifying variants linked to scoliosis, degenerative disc disease, and osteoarthritis. Variants that affect extracellular matrix metabolism have been shown to predict susceptibility to intervertebral disc degeneration, enabling preventative care and early intervention strategies [157,158].
Molecular profiling adds another dimension, with biomarkers such as inflammatory cytokines, matrix metalloproteinases (MMPs), and neurofilament light chain serving as indicators of disease progression and response to treatment [159]. Elevated levels of MMPs are associated with the degradation of the extracellular matrix in intervertebral discs, correlating with disease progression. Cytokine profiling has been shown to distinguish inflammatory spinal pathologies from degenerative conditions, aiding in more accurate diagnoses and tailored therapeutic approaches [160,161].
The integration of AI further enhances the possibilities of personalized medicine, as algorithms compile genetic, molecular, and clinical information to improve treatment approaches. AI has been applied to predict outcomes such as adjacent segment disease following spinal fusion, facilitating data-driven surgical decisions. Machine learning tools have also improved the early detection of degenerative disc disease and spinal stenosis, enhancing diagnostic accuracy and treatment planning [162,163].
However, there are significant challenges to implementation. High costs and limited access to genetic and molecular testing pose barriers, especially in low-resource settings. Additionally, ethical concerns regarding data privacy and the potential for genetic discrimination necessitate stringent regulatory frameworks.
11. Conclusion
The management of spinal disorders has undergone significant advancements, leveraging technological, surgical, and regenerative breakthroughs. Innovations such as MIS, aADR, regenerative medicine, and integrated technologies like robotics and AI have significantly improved patient outcomes by enhancing precision, reducing recovery times, and offering more personalized care [8,12,15]. MIS techniques, including endoscopic discectomy and robotic assisted spinal fusion, have demonstrated reduced procedural risks and shorter recovery periods, addressing some of the limitations of traditional surgical methods [92,93]. Similarly, regenerative approaches, such as PRP therapies and mesenchymal stem cell applications, show promise for tissue repair and intervertebral disc regeneration [11].
Despite these advancements, challenges persist. High costs and limited accessibility to advanced technologies, particularly in underserved regions, continue to hinder equitable implementation [6,21]. Furthermore, insufficient long-term data on treatments such as biologics and ADR highlight the need for multicenter studies to establish safety and durability over time [42]. These disparities in access, along with the economic burden of spinal disorders globally, emphasize the necessity of addressing systemic barriers to care [3,4].
Looking ahead, integrating regenerative medicine, cutting-edge surgical technologies, and personalized treatment strategies will be crucial to overcoming these challenges. For example, AI and wearable technologies have the potential to revolutionize diagnostics and post-operative care, improving precision and patient engagement [16]. Through collaborative research, policy reforms, and global partnerships, spinal care can continue to evolve, improving outcomes and enhancing the quality of life for patients worldwide.
12. Key points
- • Advancements like minimally invasive surgeries, regenerative medicine, and artificial intelligence improve precision, recovery, and patient outcomes.
- • Techniques like endoscopic discectomy and robotic-assisted fusion reduce tissue damage, complications, and recovery time.
- • Therapies like platelet rich plasma and mesenchymal stem cells show promise in disc regeneration and spinal repair.
- • AI improves diagnostic accuracy, while wearable devices aid real-time monitoring and rehabilitation.
- • Artificial disc replacement preserves motion better than fusion but risks implant wear and migration.
- • High costs, infrastructure needs, and training limit widespread use, especially in low-resource areas.
- • Spinal disorders stem from genetics, aging, work hazards, obesity, smoking, and inflammation.
- • AI-driven imaging, PET scans, and molecular biomarkers enhance early detection and treatment planning.
- • Long-term, large-scale studies are needed to assess safety, cost-effectiveness, and treatment durability.
- • Personalized medicine, artificial intelligence, and regenerative therapies will drive innovation and improve accessibility.
Funding: The research work of DKA is supported by the R25AI179582 and R01 HL147662 grants from the National Institutes of Health, USA. The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.
Competing interests: All authors have read the manuscript and declare no conflict of interest. No writing assistance was utilized in the production of this manuscript.
Consent for publication: All authors have read the manuscript and consented for publication.
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