Teichner Eric M, Subtirelu Robert C, Crutchfield Connor R, Parikh Chitra, Ashok Arjun, Talasila Sahithi, Anderson Victoria, Patel Milan, Mannam Sricharvi, Lee Andrew, Werner Thomas, Raynor William Y, Alavi Abass, Revheim Mona-Elisabeth
Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States.
Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States.
Front Radiol. 2025 Mar 6;5:1298054. doi: 10.3389/fradi.2025.1298054. eCollection 2025.
Degenerative disc disease (DDD) is a common spinal condition characterized by the deterioration of intervertebral discs, leading to chronic back pain and reduced mobility. While magnetic resonance imaging (MRI) has long been the standard for late-stage DDD diagnosis, its limitations in early-stage detection prompt the exploration of advanced imaging methods. Positron emission tomography/computed tomography (PET/CT) using F- fluorodeoxyglucose (FDG) and F-sodium fluoride (NaF) has shown promise in identifying metabolic imbalances and age-related spinal degeneration, thereby complementing CT grading of the disease. The novel hybrid imaging modality PET/MRI provides new opportunities and are briefly discussed. The complex pathophysiology of DDD is dissected to highlight the role of genetic predisposition and lifestyle factors such as smoking and obesity. These etiological factors significantly impact the lumbosacral region, manifesting in chronic low back pain (LBP) and potential nerve compression. Traditional grading systems, like the Pfirrmann classification for MRI, are evaluated for their limitations in capturing the full spectrum of DDD. The potential to identify early disease processes and predict patient outcomes by the use of artificial intelligence (AI) is also briefly mentioned. Overall, the manuscript aims to spotlight advancements in imaging technologies for DDD, emphasizing their implications in refining both diagnosis and treatment strategies. The role of ongoing and future research is emphasized to validate these emerging techniques and overcome current limitations for more effective early detection and treatment.
退行性椎间盘疾病(DDD)是一种常见的脊柱疾病,其特征是椎间盘退变,导致慢性背痛和活动能力下降。虽然磁共振成像(MRI)长期以来一直是晚期DDD诊断的标准,但它在早期检测方面的局限性促使人们探索先进的成像方法。使用氟脱氧葡萄糖(FDG)和氟氟化钠(NaF)的正电子发射断层扫描/计算机断层扫描(PET/CT)在识别代谢失衡和与年龄相关的脊柱退变方面显示出前景,从而补充了该疾病的CT分级。新型混合成像模式PET/MRI提供了新的机会,并将进行简要讨论。剖析了DDD复杂的病理生理学,以突出遗传易感性和吸烟、肥胖等生活方式因素的作用。这些病因因素对腰骶部区域有显著影响,表现为慢性下腰痛(LBP)和潜在的神经压迫。评估了传统的分级系统,如MRI的Pfirrmann分类,以了解其在捕捉DDD全貌方面的局限性。还简要提到了使用人工智能(AI)识别早期疾病过程和预测患者预后的潜力。总体而言,该手稿旨在突出DDD成像技术的进展,强调它们在完善诊断和治疗策略方面的意义。强调了正在进行和未来研究的作用,以验证这些新兴技术并克服当前的局限性,实现更有效的早期检测和治疗。