Alhazmi Daniah M, Shi Wei, Allareddy Veerasathpurush, Anamali Sindhura, Allareddy Trishul V, Rengasamy Venugopalan Shankar
University of Iowa College of Dentistry; Department of Oral Pathology, Radiology and Medicine; Iowa City, IA, USA; Oral Diagnostic Sciences Department, Division of Oral and Maxillofacial Radiology, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
University of Iowa College of Dentistry, Iowa Institute for Oral Health Research, Iowa City, IA, USA.
Oral Surg Oral Med Oral Pathol Oral Radiol. 2024 Jan;137(1):67-72. doi: 10.1016/j.oooo.2023.07.010. Epub 2023 Jul 12.
Using cone beam computed tomography (CBCT), this study aimed to investigate the radiologic features of cervical vertebral nonsegmentation (CVN) in patients with no known syndromes or pathoses.
In this retrospective study, we examined CBCT scans of patients with CVN for the following parameters: type of nonsegmentation (partial or complete); laterality of partial nonsegmentation; level of vertebrae affected in nonsegmentation; anatomic parts of the vertebrae involved; and the presence or absence of degenerative joint disease (DJD).
From the structured reports of 13,458 CBCT scans, we found 110 CBCT scans (0.82%) with CVN. Of this total, 77.3% were partial and 22.7% were complete. Most were located at the level of the C2 and C3 vertebrae. The transverse process alone and the transverse process and body were most frequently involved in partial CVN, whereas most complete types occurred in the transverse process and body. Degenerative joint disease was present in 45.9% of partial CVN (clearly distinguishable from nonsegmentation in 36.5%) and 20% of complete CVN, with all cases clearly distinguishable.
Cervical vertebral nonsegmentation has a low prevalence. It is mostly partial, occurs most commonly in C2-C3, and usually involves the transverse process and body. Identification of CVN on CBCT images is important because this condition can lead to DJD in older age and may increase the risk for muscle weakness, head and neck pain, limited movement, and neurologic complications.
本研究旨在利用锥形束计算机断层扫描(CBCT),调查无已知综合征或疾病的患者颈椎未分节(CVN)的放射学特征。
在这项回顾性研究中,我们检查了CVN患者的CBCT扫描图像,以获取以下参数:未分节类型(部分或完全);部分未分节的侧别;未分节所累及的椎体节段;受累椎体的解剖部位;以及是否存在退行性关节病(DJD)。
从13458份CBCT扫描的结构化报告中,我们发现110份(0.82%)存在CVN。其中,77.3%为部分未分节,22.7%为完全未分节。大多数位于C2和C3椎体水平。部分CVN最常累及单独的横突以及横突和椎体,而大多数完全未分节类型发生在横突和椎体。45.9%的部分CVN存在退行性关节病(其中36.5%可与未分节明显区分),20%的完全CVN存在退行性关节病,所有病例均可明显区分。
颈椎未分节的患病率较低。它大多为部分未分节,最常见于C2-C3,通常累及横突和椎体。在CBCT图像上识别CVN很重要,因为这种情况在老年时可导致DJD,并可能增加肌肉无力、头颈疼痛、活动受限和神经并发症的风险。