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In this review article, we try to broach into the majority of the novel biochemical (Table 1) and imaging risk factors related to SA, balancing disease-oriented evidence (DOE) as well as patient-oriented evidence that matters (POEM).
Miller et al. [91] spurned the Memphis criteria and Biffl et al. [87, 94] developed the Denver criteria which provide some predictive imaging risk factors for blunt traumatic carotid and vertebral artery dissection injury, of which fractures of the craniocervical junction (C0-C2) are included (Fig. 23).
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To enable consistent reporting, imaging defined risk factors have been identified by the INRG [ 3].
In this review, we describe the major epidemiological studies, prevalence, clinical presentation, neuropathological and imaging features, risk factors, and treatment of dementia in the oldest old.
In this review, we describe the major epidemiological studies, prevalence, clinical presentation, neuropathological and imaging features, risk factors, and treatment of dementia in the oldest old after highlighting the limitations and challenges of current medical research in this important area.
A decade ago it was estimated that prevention of joint injuries would yield an approximately 14 to 25% reduction in OA prevalence [ 23]; with the alarming increase in female knee injuries in the past decade and an increased ability to detect injury using imaging, the risk of knee OA attributable to injury may be higher now.
Retrospective data collection using notes and imaging to risk-stratify patients.
We present an overview of the contributing mechanisms to the increased fracture risk and the usefulness of imaging modalities and risk assessment tools in predicting fracture risk in patients with type 2 diabetes.
Higher GS (>7) at biopsy significantly correlates with higher risk of bone involvement, as recently reported by De Nunzio et al. 48 Despite well-defined clinical recommendations, widespread overuse of imaging in low-risk and intermediate-risk prostate cancer patients has been reported.
Both RT and imaging correlates of risk could, in principle, be explained by nonlinear value encoding rather than risk encoding per se.
It may also be used to provide enhanced information from imaging data regarding risk fracture prediction.
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