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A. K. Shukla

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Review Open access Aug 2026

INTEGRATING QUANTITATIVE BONE IMAGING AND FUNCTIONAL PHYSIOTHERAPY ASSESSMENTS FOR EARLY DETECTION AND MANAGEMENT OF DEGENERATIVE SPINE DISORDERS

Spine degeneration is one of the most common causes of musculoskeletal pain, disability, and decreased quality of life globally. The combination of spine degeneration, osteoporosis, and functional impairment creates diagnostic difficulties that require special attention to be paid to the development of appropriate assessment methods. The present study is devoted to the review of the existing scientific research on the use of quantitative bone imaging and functional physiotherapy tests to diagnose and manage spine degenerative disorders. To this end, peer-reviewed publications and clinical cases were analyzed in order to identify the developments in imaging techniques, bone quality evaluation, functional tests in physiotherapy, and diagnostics. The conclusions show that quantitative imaging modalities, including DEXA, QCT, MRI, and advanced imaging biomarkers, give useful insights into vertebral integrity, bone quality, and structural degeneration. On the other hand, physiotherapy assessments of posture, mobility, muscular strength, balance, gait, pain, and disability supplement imaging findings through evaluation of the clinical impact of structural alterations. Integration of structural and functional assessments increases the diagnostic accuracy, allows for risk stratification, and facilitates the development of a personalized rehabilitation plan. Moreover, modern technologies such as AI, radiomics, wearables, and tele-rehabilitation systems bring new perspectives to precision spine care. Thus, combining quantitative bone imaging and physiotherapy functional assessment can be considered a basis for improvement of early diagnosis, rehabilitation, and treatment of spine degeneration disorders.

Katta Praveen Kumar, Debdeep Karak, Vijay Gujar et al. · 0 citations
Review Open access Jul 2026

Radiological and Anatomical Perspectives in Back Pain: From Pathoanatomy and Imaging Diagnosis to Clinical Management

Back pain is a leading cause of disability worldwide and represents a significant clinical and socioeconomic challenge. Its multifactorial nature requires a comprehensive understanding of spinal anatomy, pathological mechanisms, and imaging findings to facilitate accurate diagnosis and effective management. This review aimed to synthesize current evidence on the anatomical and radiological perspectives of back pain, emphasizing spinal pathoanatomy, diagnostic imaging, clinicoradiological correlation, and imaging-guided clinical management. A comprehensive literature review was conducted using peer-reviewed publications retrieved from Scopus, Web of Science, ScienceDirect, DOAJ, and Google Scholar. Relevant studies were identified using predefined keywords related to back pain, spinal anatomy, musculoskeletal imaging, degenerative spinal disorders, and clinical management. The selected literature was critically evaluated and organized into thematic domains. The review demonstrates that vertebral structures, intervertebral discs, facet joints, ligaments, paraspinal muscles, neural elements, and sacroiliac joints collectively contribute to the pathogenesis of back pain. Contemporary imaging modalities, including radiography, computed tomography, magnetic resonance imaging, and emerging advanced techniques, play complementary roles in identifying structural abnormalities and guiding treatment. Accurate clinicoradiological correlation remains essential because imaging findings do not always correspond with symptom severity. Emerging technologies, including artificial intelligence and advanced imaging techniques, have further enhanced diagnostic precision and personalized patient care. Integrating anatomical knowledge with radiological evaluation and clinical assessment provides a comprehensive framework for diagnosing and managing back pain. Continued advances in imaging technology and multidisciplinary research are expected to improve diagnostic accuracy, optimize treatment strategies, and support precision medicine in spine care.

Dr. Nishith Shetty, M. Fernandes, A. K. Shukla · 0 citations