Vertebral artery dissection in acute cervical spine trauma

Traumatic Vertebral Artery Injury: Diagnosis, Natural History, and Key Considerations for Management

Vertebral artery injury (VAI) is a known complication of blunt cervical spine trauma with a potential risk of stroke. Factors including cervical bony injury, spinal cord injury, and overall trauma severity have been linked to an increased risk of VAI. Despite its prevalence, there is little consensus on various aspects of this pathology, including its initial screening, diagnostic approaches, and therapeutic strategies. A recent systematic review and meta-analysis from our group highlighted the dynamic nature of vertebral artery occlusion, revealing the underrecognized recanalization rates and potential stroke risks associated with delayed recanalization. While anticoagulant and/or antiplatelet therapy (ACAP) remains the cornerstone of VAI management, treatment is often complicated by co-existing injuries, such as intracranial hemorrhage or cervical trauma, which may preclude or delay ACAP usage or necessitate surgical intervention. This comprehensive narrative review synthesizes the latest evidence on VAI and associated ischemic sequelae, with the goal of elucidating its pathophysiology and natural history, summarizing current data on screening and diagnosis, and exploring key considerations for medical and endovascular management.

High-resolution magnetic resonance imaging in the diagnosis and management of vertebral artery dissection: A case report

BACKGROUND

Vertebral artery dissection (VAD) is a rare but life-threatening condition characterized by tearing of the intimal layer of the vertebral artery, leading to stenosis, occlusion or rupture. The clinical presentation of VAD can be heterogeneous, with common symptoms including headache, dizziness and balance problems. Timely diagnosis and treatment are crucial for favorable outcomes; however, VAD is often missed due to its variable clinical presentation and lack of robust diagnostic guidelines. High-resolution magnetic resonance imaging (HRMRI) has emerged as a reliable diagnostic tool for VAD, providing detailed visualization of vessel wall abnormalities.

CASE SUMMARY

A young male patient presented with an acute onset of severe headache, vomiting, and seizures, followed by altered consciousness. Imaging studies revealed bilateral VAD, basilar artery thrombosis, multiple brainstem and cerebellar infarcts, and subarachnoid hemorrhage. Digital subtraction angiography (DSA) revealed vertebral artery stenosis but failed to detect the dissection, potentially because intramural thrombosis obscured the VAD. In contrast, HRMRI confirmed the diagnosis by revealing specific signs of dissection. The patient was managed conservatively with antiplatelet therapy and other supportive measures, such as blood pressure control and pain management. After 5 mo of rehabilitation, the patient showed significant improvement in swallowing and limb strength.

CONCLUSION

HR-MRI can provide precise evidence for the identification of VAD.

Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT

OBJECTIVES

To compare diagnostic accuracy of a deep learning artificial intelligence (AI) for cervical spine (C-spine) fracture detection on CT to attending radiologists and assess which undetected fractures were injuries in need of stabilising therapy (IST).

METHODS

This single-centre, retrospective diagnostic accuracy study included consecutive patients (age ≥18 years; 2007-2014) screened for C-spine fractures with CT. To validate ground truth, one radiologist and three neurosurgeons independently examined scans positive for fracture. Negative scans were followed up until 2022 through patient files and two radiologists reviewed negative scans that were flagged positive by AI. The neurosurgeons determined which fractures were ISTs. Diagnostic accuracy of AI and attending radiologists (index tests) were compared using McNemar.

RESULTS

Of the 2368 scans (median age, 48, interquartile range 30-65; 1441 men) analysed, 221 (9.3%) scans contained C-spine fractures with 133 IST. AI detected 158/221 scans with fractures (sensitivity 71.5%, 95% CI 65.5-77.4%) and 2118/2147 scans without fractures (specificity 98.6%, 95% CI 98.2-99.1). In comparison, attending radiologists detected 195/221 scans with fractures (sensitivity 88.2%, 95% CI 84.0-92.5%, p < 0.001) and 2130/2147 scans without fracture (specificity 99.2%, 95% CI 98.8-99.6, p = 0.07). Of the fractures undetected by AI 30/63 were ISTs versus 4/26 for radiologists. AI detected 22/26 fractures undetected by the radiologists, including 3/4 undetected ISTs.

CONCLUSION

Compared to attending radiologists, the artificial intelligence has a lower sensitivity and a higher miss rate of fractures in need of stabilising therapy; however, it detected most fractures undetected by the radiologists, including fractures in need of stabilising therapy. Clinical relevance statement The artificial intelligence algorithm missed more cervical spine fractures on CT than attending radiologists, but detected 84.6% of fractures undetected by radiologists, including fractures in need of stabilising therapy.

KEY POINTS

The impact of artificial intelligence for cervical spine fracture detection on CT on fracture management is unknown. The algorithm detected less fractures than attending radiologists, but detected most fractures undetected by the radiologists including almost all in need of stabilising therapy. The artificial intelligence algorithm shows potential as a concurrent reader.

Extreme dislocation of the cervical spine-case report

We present the case of rare extreme dislocation of subaxial cervical spine, which was challenging regarding type and time of surgery. A 22-year-old patient was injured in a traffic accident, from very beginning with signs of spinal shock. Severe traumatic C6/C7 dislocation with resulting transection of the spinal cord was diagnosed with MDCT imaging. The main dilemmas regarding the surgical treatment of this injury referred to the timing of surgery and the choice of surgical approach. We decided to perform posterior surgery at first stage. Postoperative her condition get worsening and on the 16th postoperative day came to the fatal outcome. Despite all the available protocols, in our case, the decision had to be made on the basis of individual multidisciplinary assessment, bearing in mind the mechanism of the injury and the clinical presentation of the injured patient.

The Incidence, Characteristics and Outcomes of Vertebral Artery Injury Associated with Cervical Spine Trauma: A Systematic Review

STUDY DESIGN

Systematic Review.

OBJECTIVES

Vertebral Artery Injury (VAI) is a potentially serious complication of cervical spine fractures. As many patients can be asymptomatic at the time of injury, the identification and diagnosis of VAI can often prove difficult. Due to the high rates of morbidity and mortality associated with VAI, high clinical suspicion is paramount. The purpose of this review is to elucidate incidence, diagnosis, treatment and outcomes of VAI associated with cervical spine injuries.

METHODS

A systematic search of electronic databases was performed using 'PUBMED', 'EMBASE','Medline (OVID)', and 'Web of Science, for articles pertaining to traumatic cervical fractures with associated VAI.

RESULTS

24 studies were included in this systematic review. Data was included from 48 744 patients. In regards to the demographics of the focus groups that highlighted information on VAI, the mean average age was 46.6 (32.1-62.6). 75.1% (169/225) were male and 24.9% (56/225) were female. Overall incidence of VAI was 596/11 479 (5.19%). 190/420 (45.2%) of patients with VAI had fractures involving the transverse foramina. The right vertebral artery was the most commonly injured 114/234 (48.7%). V3 was the most common section injured (16/36 (44.4%)). Grade I was the most common (103/218 (47.2%)) injury noted. Collective acute hospital mortality rate was 32/226 (14.2%), ranging from 0-26.2% across studies.

CONCLUSION

VAI secondary to cervical spine trauma has a notable incidence and high associated mortality rates. The current available literature is limited by a low quality of evidence. In order to optimise diagnostic protocols and treatment strategies, in addition to reducing mortality rates associated with VAI, robust quantitative and qualitative studies are needed.